ATAC-seq services include:
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Sample tagmentation |
|
|
Library preparation |
|
|
Deep sequencing |
|
You are about to request a quote for our epigenomics services. Fill out the form below and we will be in touch with you very soon.
All * fields are mandatory
ATAC-seq(Assay for Transposase-Accessible Chromatin using sequencing)は、ゲノムワイドなクロマチンアクセシビリティの査定を可能にします。 この技術は、トランスポゼースを利用してオープンクロマチンを切断すると同時に、増幅及び配列決定のアダプターと連結します。
|
Sample tagmentation |
|
|
Library preparation |
|
|
Deep sequencing |
|
Quality check, alignment to reference genome and identification of enriched regions (peak calling).
Provided files:
Identification and annotation (human, mouse, rat, drosophila) of differential chromatin accessibility between samples.
Provided files:
Annotation of ATAC-Seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.
Enrichment analysis on gene sets. Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved.
Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented.
Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images (human, mouse, rat).
Generated files will be available for download during 1 month and stored for an additional period of 3 months on Diagenode’s servers. Additional long-term storage of data is available upon request. Original samples are stored at Diagenode during 12 months after project completion, but will be discarded once this time is exceeded. Return shipment of samples is available upon request.
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 How to properly cite this product in your workDiagenode strongly recommends using this: ATAC-seq 受託サービス (Assay for Transposase-Accessible Chromatin) (Diagenode Cat# G02060000). Click here to copy to clipboard. Using our products in your publication? Let us know! |
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You are about to request a quote for データマイニングサービス. Fill out the form below and we will be in touch with you very soon.
All * fields are mandatory
You are about to request a quote for our epigenomics services. Fill out the form below and we will be in touch with you very soon.
All * fields are mandatory
You are about to request a quote for RNA-seq 受託サービス. Fill out the form below and we will be in touch with you very soon.
All * fields are mandatory
Notice (8): Undefined variable: solution_of_interest [APP/View/Products/view.ctp, line 755]Code Context<!-- BEGIN: REQUEST_FORM MODAL --><div id="request_formModal" class="reveal-modal medium" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"><?= $this->element('Forms/simple_form', array('solution_of_interest' => $solution_of_interest, 'header' => $header, 'message' => $message, 'campaign_id' => $campaign_id)) ?>$viewFile = '/home/website-server/www/app/View/Products/view.ctp' $dataForView = array( 'carrousel_order' => array( (int) 0 => 'services' ), 'language' => 'jp', 'meta_keywords' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'meta_description' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'meta_title' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'product' => array( 'Product' => array( 'id' => '2991', 'antibody_id' => null, 'name' => 'ATAC-seq 受託サービス (Assay for Transposase-Accessible Chromatin)', 'description' => '<p></p> <p>ATAC-seq(Assay for Transposase-Accessible Chromatin using sequencing)は、ゲノムワイドなクロマチンアクセシビリティの査定を可能にします。 この技術は、トランスポゼースを利用してオープンクロマチンを切断すると同時に、増幅及び配列決定のアダプターと連結します。<br /><br /></p> <h4>一塩基分解でオープンクロマチン領域を査定</h4> <ul> <li style="font-weight: 400;">遺伝子調節への洞察を得て、オープンクロマチンシグネチャーを理解</li> <li style="font-weight: 400;"> 一塩基分解でヌクレオソーム位置を検出</li> <li style="font-weight: 400;"> 転写因子（TF）の占有率を明確にする</li> <li style="font-weight: 400;"><span>Tagmentation</span>、ライブラリー<span>調製</span>、<span>シーケンシング</span>、解析などの包括的なサポートサービス</li> </ul> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <div id="gtx-trans" style="position: absolute; left: -49px; top: -25.8667px;"> <div class="gtx-trans-icon"></div> </div>', 'label1' => '詳細', 'info1' => '<h4>ATAC-seq services include:</h4> <table style="width: 942px;"> <tbody> <tr> <td style="width: 312px;"> <p><span>Sample tagmentation</span></p> </td> <td style="width: 622px;"> <ul> <li><span>Lysis</span></li> <li><span>Tagmentation using Diagenode's Tagmentase (Tn5 transposase)</span></li> </ul> </td> </tr> <tr> <td style="width: 312px;"> <p><span>Library preparation</span></p> </td> <td style="width: 622px;"> <ul> <li><span>Library amplification</span></li> <li><span>Library purification</span></li> <li><span>QC on the ATAC-seq library (DNA concentration, analysis of library profile)</span></li> <li><span>Library pooling</span></li> </ul> </td> </tr> <tr> <td style="width: 312px;"> <p><span>Deep sequencing</span></p> </td> <td style="width: 622px;"> <ul> <li><span>Samples are sequenced on an Illumina ® platform, paired-end 2x75bp</span></li> <li><span>100 million raw reads on average are obtained per sample when pooling 3samples/lane (Hi-seq 4000). 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Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved. </span></span></span></p> <h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Pathway analysis</i><span style="font-weight: 400;">: </span></span></span></span></h4> <p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented. </span></span></span></span></p> <h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Visualization of specific genomic regions:</i><span style="font-weight: 400;"> </span></span></span></span></span></h4> <p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images (human, mouse, rat). </span></span></span></span></span></p> <h2>Additional information</h2> <p><span style="font-weight: 400;">Generated files will be available for download during 1 month and stored for an additional period of 3 months on Diagenode’s servers. 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for Transposase-Accessible Chromatin)', 'description' => '<p></p> <p>ATAC-seq(Assay for Transposase-Accessible Chromatin using sequencing)は、ゲノムワイドなクロマチンアクセシビリティの査定を可能にします。 この技術は、トランスポゼースを利用してオープンクロマチンを切断すると同時に、増幅及び配列決定のアダプターと連結します。<br /><br /></p> <h4>一塩基分解でオープンクロマチン領域を査定</h4> <ul> <li style="font-weight: 400;">遺伝子調節への洞察を得て、オープンクロマチンシグネチャーを理解</li> <li style="font-weight: 400;"> 一塩基分解でヌクレオソーム位置を検出</li> <li style="font-weight: 400;"> 転写因子（TF）の占有率を明確にする</li> <li style="font-weight: 400;"><span>Tagmentation</span>、ライブラリー<span>調製</span>、<span>シーケンシング</span>、解析などの包括的なサポートサービス</li> </ul> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script 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the ATAC-seq library (DNA concentration, analysis of library profile)</span></li> <li><span>Library pooling</span></li> </ul> </td> </tr> <tr> <td style="width: 312px;"> <p><span>Deep sequencing</span></p> </td> <td style="width: 622px;"> <ul> <li><span>Samples are sequenced on an Illumina ® platform, paired-end 2x75bp</span></li> <li><span>100 million raw reads on average are obtained per sample when pooling 3samples/lane (Hi-seq 4000). Sequencing depth will be adjusted to project dependent criteria.</span></li> </ul> </td> </tr> </tbody> </table> <p></p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>', 'label2' => 'バイオインフォマティック解析', 'info2' => '<h2>Standard analysis</h2> <p><span style="font-weight: 400;">Quality check, alignment to reference genome and identification of enriched regions (peak calling).</span></p> <p><b>Provided files:</b></p> <ul> <li><span style="font-weight: 400;">Report with sequencing statistics</span></li> <li><span style="font-weight: 400;">Raw data in FASTQ format</span></li> <li><span style="font-weight: 400;">FastQC reports</span></li> <li><span style="font-weight: 400;">Alignment files in BAM format</span></li> <li><b><span style="font-weight: 400;">Peak files in BED format</span></b><b><span style="font-weight: 400;"></span></b><strong></strong></li> </ul> <p><strong></strong></p> <h2>Additional analysis on request:</h2> <h4><em>Differential <span style="font-weight: 400;">accessibility </span>analysis:</em><strong><b> </b></strong></h4> <p><strong><span style="font-weight: 400;">Identification and annotation (human, mouse, rat, drosophila) of differential chromatin accessibility between samples.</span></strong></p> <p><strong>Provided files:</strong></p> <ul> <li><span style="font-weight: 400;">Report with summary of differential accessibility analysis and plots</span></li> <li><span style="font-weight: 400;">Files containing differentially accessibility sites or unique peaks and breakdown of those in annotated regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></li> </ul> <p></p> <h4><span style="font-weight: 400;"><i>Annotation in genomic regions</i><b>: </b></span></h4> <p><span style="font-weight: 400;"><span style="font-weight: 400;">Annotation of ATAC-Seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></span></p> <h4><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Gene ontology terms analysis</i><span style="font-weight: 400;">: </span></span></span></h4> <p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Enrichment analysis on gene sets. Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved. </span></span></span></p> <h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Pathway analysis</i><span style="font-weight: 400;">: </span></span></span></span></h4> <p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented. </span></span></span></span></p> <h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Visualization of specific genomic regions:</i><span style="font-weight: 400;"> </span></span></span></span></span></h4> <p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images (human, mouse, rat). </span></span></span></span></span></p> <h2>Additional information</h2> <p><span style="font-weight: 400;">Generated files will be available for download during 1 month and stored for an additional period of 3 months on Diagenode’s servers. Additional long-term storage of data is available upon request. Original samples are stored at Diagenode during 12 months after project completion, but will be discarded once this time is exceeded. Return shipment of samples is available upon request. </span></p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>', 'label3' => '', 'info3' => '<p></p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>', 'format' => '', 'catalog_number' => 'G02060000', 'old_catalog_number' => '', 'sf_code' => '', 'type' => 'ACC', 'search_order' => '', 'price_EUR' => '/', 'price_USD' => '/', 'price_GBP' => '/', 'price_JPY' => '42800', 'price_CNY' => '/', 'price_AUD' => '/', 'country' => 'ALL', 'except_countries' => 'None', 'quote' => true, 'in_stock' => false, 'featured' => true, 'no_promo' => true, 'online' => true, 'master' => true, 'last_datasheet_update' => '', 'slug' => 'atac-seq-service', 'meta_title' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'meta_keywords' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'meta_description' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'modified' => '2024-01-10 18:05:12', 'created' => '2018-09-06 10:53:39', 'locale' => 'jpn' ), 'Antibody' => array( 'host' => '*****', 'id' => null, 'name' => null, 'description' => null, 'clonality' => null, 'isotype' => null, 'lot' => null, 'concentration' => null, 'reactivity' => null, 'type' => null, 'purity' => null, 'classification' => null, 'application_table' => null, 'storage_conditions' => null, 'storage_buffer' => null, 'precautions' => null, 'uniprot_acc' => null, 'slug' => null, 'meta_keywords' => null, 'meta_description' => null, 'modified' => null, 'created' => null, 'select_label' => null ), 'Slave' => array(), 'Group' => array(), 'Related' => array( (int) 0 => array( 'id' => '3022', 'antibody_id' => null, 'name' => 'Bioinformatics Data Mining Service', 'description' => '<h2 class="text-center"><span class="diacol">New!</span> <br />Data mining using machine learning (AI) for unique epigenetic data insights</h2> <center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center> <p></p> <div id="paper" style="text-align: center;"> <h4><a href="https://www.youtube.com/watch?v=KXjnSHz3Jk8">Watch the webinar to gain insights on how data mining can be applied for epigenetics applications</a></h4> </div> <center><iframe width="560" height="315" src="https://www.youtube.com/embed/KXjnSHz3Jk8" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen="allowfullscreen"></iframe></center> <p></p> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px; font-size: 22px;">WHITE PAPERS</span> <div id="portal" class="main-portal"> <div class="portal-inner"><nav class="portal-nav" style="text-align: left;"> <ul data-tab="" class="tips-menu"> <li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li> <li><a href="#panel2" class="tips portal button">Breast cancer</a></li> </ul> </nav></div> </div> <div class="tabs-content"> <div class="content active" id="panel1"> <h3 style="margin-top: 0;">Powerful new insights with epigenetic data mining.<br /> A study to distinguish smokers from non-smokers using just one droplet of blood</h3> <p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p> <a href="https://www.diagenode.com/en/pages/form-bioinfo" class="alert small button" target="_blank">Read more</a></div> <div class="content" id="panel2"> <h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3> <p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p> <p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p> <a href="https://www.diagenode.com/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div> </div> </blockquote> </div> </div> <p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p> <p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p> <p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p> <p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</p> <table class="extra-spaced"> <tbody> <tr> <td><strong>Epigenetic data</strong></td> <td><strong>Transcriptomic data</strong></td> </tr> <tr> <td> <p>DNA Methylation (RRBS, WGBS, EPIC arrays)</p> <p>ChIP-sequencing</p> <p>ATAC-seq</p> </td> <td> <p>mRNA-sequencing</p> <p>Small and long non coding RNA</p> <p>Single-cell RNA-sequencing</p> </td> </tr> </tbody> </table> <p></p> <p><strong>Biological Interpretation</strong></p> <p class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. In order to achieve this, we offer biological interpretation services and pathway mining analyses for your data.</p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'label1' => 'Data mining modules ', 'info1' => '<ol> <li><strong>Feasibility study</strong></li> </ol> <ul> <li>Assessment of data characteristics and <span></span>applicability of different machine learning (ML)</li> <li>Prototypic analyses:</li> <li>Initial feasibility report</li> </ul> <p></p> <ol start="2"> <li><strong>Data Mining</strong></li> </ol> <ul> <li>Machine learning on data</li> <li>Data evaluation and validation</li> <li>Report generation</li> </ul> <p> </p> <ol start="3"> <li><strong>Data Interpretation</strong></li> </ol> <ul> <li>Integration of background knowledge</li> <li>Functional interpretation / pathway mining</li> <li>Scientific reporting</li> </ul> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'label2' => 'Integration with wet lab services and bioinformatics', 'info2' => '<p>A clear advantage of <strong>Diagenode’s data mining services</strong> is the close connection with<span> </span>other service offerings like <strong>wet lab analysis services</strong> and <strong>bioinformatics services</strong>. 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Determining how proteins interact with DNA to regulate gene expression is essential to fully understand many biological processes such as cell differentiation, organ development, and disease progression. The experts from our Epigenomics Profiling Services can help you to design your ChIP-seq project, optimize the workflow for your specific sample type/target, and provide you with high quality ChIP-seq data.</p> <p>We use in house optimized reagents:</p> <ul> <li>Validated ChIP-seq Kits</li> <li>Validated ChIP-seq grade antibodies</li> </ul> <p>And in-house developed equipment:</p> <ul> <li><strong>Bioruptor </strong>– for efficient and reproducible chromatin shearing</li> </ul> <p>We have expertise with many different types of samples as well as with a broad range of chromatin marks and can provide you with quality data even on very low input samples. Our bioinformatic experts will closely work with you to provide you with standard or customized analysis and will generate comprehensive publication-ready figures.</p> <ul> <li>Collaborative and customized project design to meet your needs</li> <li>Dedicated in-house expert</li> <li>End-to-end or customized service including wet lab and bioinformatic services</li> </ul> <p class="text-center"><img alt="ChIP Sequencing Services" src="https://www.diagenode.com/img/categories/chip_seq/ChIP-seq-success-experiment-WEB.png" /></p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'label1' => 'ChIP-seq service description', 'info1' => '<p>In order to provide you with the highest quality data, our ChIP-seq service is composed of two major steps:</p> <ol> <li><strong>ChIP validation</strong> - during this step we optimize the ChIP conditions that depend on your sample type, target and amount of cells.</li> <li><strong>ChIP on sample of interest</strong> - once the best ChIP conditions are validated, the samples of interest can be processed.</li> </ol> <p></p> <p>ChIP-seq service includes:</p> <table style="width: 918px;"> <tbody> <tr style="height: 62px;"> <td style="width: 218px; height: 220px; background-color: #f9f9f9;" rowspan="3"><strong>1. ChIP validation</strong></td> <td style="width: 417px; height: 62px;"><strong>Chromatin Shearing validation</strong></td> <td style="width: 568px; height: 62px;"> <ul> <li>Testing 2 shearing times for each cell type/tissue type</li> </ul> </td> </tr> <tr style="height: 27px;"> <td style="width: 417px; height: 27px; background-color: white;"><strong>ChIP/Ab validation</strong></td> <td style="width: 417px; height: 27px; background-color: white;"> <ul> <li>Testing 2 Ab amounts and/or 2 Ab references per target of interest</li> <li>qPCR analysis if positive and negative control regions can be provided</li> <li>Library preparation on IPs and INPUTs material</li> <li>Illumina sequencing run : Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li> <li>Quality check, alignment to reference genome, identification of enriched regions (peak calling)</li> </ul> </td> </tr> <tr style="height: 131px;"> <td style="width: 417px; height: 131px;"><strong>Primers design and validation</strong></td> <td style="width: 568px; height: 131px;"> <ul> <li>Performed on gDNA based on the data obtained during the ChIP/Ab validation. Those primers will be used for further qPCR validation of the ChIP on the samples of interest</li> </ul> </td> </tr> <tr style="height: 38px;"> <td style="width: 218px; height: 38px; background-color: white;"></td> <td style="width: 218px; height: 38px;"></td> <td style="width: 218px; height: 38px;"></td> </tr> <tr style="height: 59px;"> <td style="width: 218px; height: 216px; background-color: #f9f9f9; text-align: center;" rowspan="3"><strong>2. ChIP on sample of interest</strong></td> <td style="width: 417px; height: 59px;"><strong>Chromatin IP</strong></td> <td style="width: 568px; height: 59px;"> <ul> <li>Chromatin shearing</li> <li>IPs</li> <li>qPCR analysis using primers that have been validated during the ChIP validation</li> </ul> </td> </tr> <tr style="height: 69px;"> <td style="width: 568px; height: 69px; background-color: white;"><strong>Library Preparation</strong></td> <td style="width: 568px; height: 69px; background-color: white;"> <ul> <li>Library preparation and purification on IPs and INPUTs material</li> </ul> </td> </tr> <tr style="height: 88px;"> <td style="width: 417px; height: 88px;"><strong>Sequencing</strong></td> <td style="width: 568px; height: 88px;"> <ul> <li>Illumina sequencing run: Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li> </ul> </td> </tr> </tbody> </table> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>', 'label2' => 'Bioinformatic analysis', 'info2' => '<h3>Bioinformatic analyses on samples of interest</h3> <table style="width: 972px;"> <tbody> <tr style="height: 107px; border-color: 1px;"> <td style="width: 137px; height: 107px; background-color: #f9f9f9; text-align: center;"><strong>Standard bioinformatics</strong></td> <td style="width: 358px; height: 107px;"> <p style="text-align: center;"></p> </td> <td style="width: 466px; height: 107px;"> <ul> <li>Quality check, alignment to reference genome, identification of enriched regions (peak calling)</li> </ul> </td> </tr> <tr style="height: 24px;"> <td style="width: 137px; height: 24px; background-color: white; text-align: center;"><strong></strong></td> <td style="width: 137px; height: 24px; background-color: #f9f9f9; text-align: center;"></td> <td style="width: 137px; height: 24px; background-color: #f9f9f9; text-align: center;"></td> </tr> <tr style="height: 41px;"> <td style="width: 137px; height: 170px; background-color: #f9f9f9; text-align: center;" rowspan="5"><strong>Advanced bioinformatics</strong></td> <td style="width: 466px; height: 41px; background-color: white;"> <p style="text-align: center;"><strong>Differential binding analysis</strong></p> </td> <td style="width: 466px; height: 41px; background-color: white;"> <ul> <li>Identification and annotation of differential binding sites between samples based on previously identified ChIP-seq peaks</li> </ul> </td> </tr> <tr style="height: 33px;"> <td style="width: 466px; height: 33px; background-color: white; text-align: center;"><strong>Annotation in genomic regions</strong></td> <td style="width: 466px; height: 33px; background-color: white;"> <ul> <li>Annotation of ChIP-seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions</li> </ul> </td> </tr> <tr style="height: 26px;"> <td style="width: 466px; height: 26px; background-color: white; text-align: center;"><strong>Gene ontology termes analysis</strong></td> <td style="width: 466px; height: 26px; background-color: white;"> <ul> <li>Enrichment analysis on gene sets. 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Collaborative and customized project design to meet your needs. Dedicated in-house expert.', 'modified' => '2024-02-29 13:30:50', 'created' => '2015-08-26 17:17:38', 'ProductsRelated' => array( [maximum depth reached] ), 'Image' => array([maximum depth reached]) ), (int) 2 => array( 'id' => '2903', 'antibody_id' => null, 'name' => 'Total RNA-seq Service', 'description' => '<div class="extra-spaced"> <p>Exploring the whole transcriptome allows to gain insight of potential transcriptional and regulatory network mechanisms. With <b>Total RNA-seq </b>services, we will sequence the whole transcriptome and record the complete set of RNA transcripts, including mRNAs and long non-coding RNAs, present in a biological sample under specific circumstances. This approach is optimal for finding biomarkers from known transcripts and discover new RNA features.</p> <p>Our Epigenomics Profiling Services assure a fully integrated service-workflow for generation of RNA-seq libraries, multiplexed sequencing and data analysis. Serviced library preparation can be performed with an optional rRNA depletion step to enable cost-effective sequencing of RNA samples.</p> </div> <h2>High discovery power with total RNA-seq</h2> <ul class="square"> <li>Detection of both coding and non-coding RNAs with optional rRNA depletion</li> <li>Recognition of long coding RNAs involved in chromatin remodeling and transcriptional/post-transcriptional regulation</li> <li>Investigation of the structure of genes, their splicing patterns and other post transcriptional modifications</li> <li>Suitable for a broad range of input amounts</li> <li>Compatible with FFPE samples</li> <li>Fast turnaround time (from 5 to 6 weeks)</li> </ul> <p><span><i class="fa fa-arrow-circle-right"></i> </span><a href="https://www.diagenode.com/en/categories/rna-seq-category">See our other RNA-seq Profiling Services</a></p>', 'label1' => 'Sample Requirements', 'info1' => '<div class="extra-spaced"> <ul> <li><strong>Project size</strong>: minimum of 24 samples</li> <li><strong>Sample type</strong>: total isolated RNA</li> <li><strong>Required quantities</strong>: minimum 5 ng of total RNA (Human, Mouse, Rat) or 100 ng (Plant)</li> <li><strong>Shipment conditions</strong>: shipped in 1.5 mL or 0.5 mL tubes on dry ice</li> </ul> </div>', 'label2' => 'Services Workflow', 'info2' => '<center><img alt="Total RNA-seq Service" src="https://www.diagenode.com/img/product/services/ToatlRNA-seq_Workflow.png" /></center> <div class="extra-spaced"> <h3 class="green">What our service includes</h3> <ol> <li><strong>RNA quality control</strong></li> <ul> <li>Determination of RIN value (RNA integration number)</li> <li>Measurement of RNA concentration</li> </ul> <li><strong>Library preparation</strong></li> <ul> <li>Optional rRNA depletion</li> <li>Stranded library construction</li> <li>Quality control of libraries prior to sequencing</li> </ul> <li><strong>Sequencing on Illumina platforms</strong></li> <ul> <li>50 million raw reads per sample</li> </ul> <li><strong>Data analysis</strong> (optional for additional fee)</li> <ul> <li>Standard bioinformatic analysis</li> <li>Advanced bioinformatic analysis</li> <li>Data delivery of raw data and all generated files through fast and secure file transfer or hard drive upon request</li> </ul> </ol> </div>', 'label3' => 'Bioinformatics Analysis', 'info3' => '<table style="padding: 40px;"> <tbody> <tr> <td> <h4 class="text-center"><strong>Standard bioinformatic analysis</strong><br /> (optional for additional fee)</h4> </td> <td> <h4 class="text-center"><strong>Advanced bioinformatic analysis</strong><br /> (optional for additional fee)</h4> </td> </tr> <tr> <td style="vertical-align: top; padding-left: 20px;"> <ul> <li>Demultiplexing, read quality control, trimming and filtering</li> <li>Alignment to reference genome</li> <li>Quantification of coding and non-coding RNA biotypes with specialized quantification tool MGCount (<a href="https://doi.org/10.1186/s12859-021-04544-3">software developed by Diagenode</a>)</li> </ul> <br /> <p><em>Provided files:</em></p> <ul> <li>Report with sequencing statistics</li> <li>Raw data in FASTQ format</li> <li>FastQC report</li> <li>Alignment in BAM format</li> <li>Un-normalized read counts</li> </ul> </td> <td style="vertical-align: top;"> <ul> <li>Differential expression analysis</li> <li>Gene ontology terms analysis</li> <li>Pathway analysis</li> <li>Alternative splicing analysis</li> <li>Novel transcript identification</li> </ul> </td> </tr> </tbody> </table> <p></p>', 'format' => 'Custom', 'catalog_number' => 'G02030000', 'old_catalog_number' => '', 'sf_code' => '', 'type' => 'ACC', 'search_order' => '01-Accessory', 'price_EUR' => 'on request', 'price_USD' => 'on request', 'price_GBP' => 'on request', 'price_JPY' => '42800', 'price_CNY' => 'on request', 'price_AUD' => 'on request', 'country' => 'ALL', 'except_countries' => 'None', 'quote' => true, 'in_stock' => false, 'featured' => true, 'no_promo' => true, 'online' => true, 'master' => true, 'last_datasheet_update' => '', 'slug' => 'rna-seq-services', 'meta_title' => 'Total RNA-seq Service - Whole Transcriptome Analysis | Diagenode', 'meta_keywords' => '', 'meta_description' => 'Total RNA-seq examines the entire transcriptome in an unbiased fashion. The method captures both coding and non-coding RNA transcripts and quantifies gene expression heterogeneity', 'modified' => '2022-03-04 15:26:01', 'created' => '2017-07-26 15:01:26', 'ProductsRelated' => array( [maximum depth reached] ), 'Image' => array([maximum depth reached]) ) ), 'Application' => array(), 'Category' => array( (int) 0 => array( 'id' => '72', 'position' => '2', 'parent_id' => '121', 'name' => 'Chromatin Profiling Services', 'description' => '<div class="row"> <div class="small-12 medium-12 large-12 columns"><center></center></div> </div> <div class="row"> <div class="small-12 medium-4 large-4 columns"> <div class="panel"><center><img src="http://www.diagenode.com/img/categories/services/chip-workflow.png" alt="Chromatin-Immunoprecipitation-Diagenode" /></center> <p>Chromatin consists of DNA, histones and non-histone proteins. Understanding the roles of histones and transcription factors is critical in understanding the regulation of gene expression.</p> <p>Using ChIP-seq analysis, it is possible to profile histone modifications and transcription factor binding genome-wide to elucidate control of gene expression in disease or in response to a drug treatment. Diagenode’s Epigenomic Profiling Services offer a wide variety of chromatin analysis options through ChIP-seq and ATAC-seq.</p> </div> <center><img src="https://www.diagenode.com/img/logo-scientist-registered-supplier.png" /></center></div> <div class="small-12 medium-8 large-8 columns"><center><img src="http://www.diagenode.com/img/applications/histone-marks-helice.png" alt="Histone-Antibodies-Diagenode" /></center><br href="../p/service-chip-seq" /> <h3><a href="../p/atac-seq-service">ATAC-seq: open chromatin regions</a></h3> <p>Study genome-wide chromatin accessibility. Identify open chromatin sites and active regulatory elements such as promoter, enhancers, and insulators.</p> <ul> <ul> <li>Nucleosome positioning</li> </ul> </ul> <h3><a href="../p/service-chip-seq">ChIP-seq histone modifications</a></h3> <p>Post-translational modification of histones is implicated in the regulation of gene expression, necessitating the study of regulatory elements and their interacting proteins like active promoter and enhancer analysis. Profile genome-wide histone modifications by ChIP-seq analysis to understand transcriptional regulation</p> <ul> <li><strong>Active promoter profiling</strong>: H3K4me3 enrichment</li> <li><strong>Inactive promoter profiling</strong>: H3K27me3 enrichment</li> <li><strong>Enhancer profiling</strong>: H3K4me1 and H3K27ac enrichment in regulatory regions</li> <li><strong>Active gene body</strong>: H3K36me3</li> </ul> <h3><a href="../p/service-chip-seq">ChIP-seq Transcription Factors</a></h3> <p>Explore the effects of transcription factor binding through ChIP-seq analysis of a multitude of TFs including:</p> <ul> <li>CTCF: transcriptional repressor and insulator activity</li> <li>p300/CBP: histone acetyltransferase</li> <li>Pol II, p53, and more</li> <li>Epigenetic writers, readers, erasers</li> <li>Nuclear receptors</li> <li>Tumor suppressor genes</li> </ul> </div> </div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'no_promo' => true, 'in_menu' => true, 'online' => true, 'tabular' => true, 'hide' => false, 'all_format' => false, 'is_antibody' => false, 'slug' => 'chip-seq-service', 'cookies_tag_id' => '3', 'meta_keywords' => 'ChIP-seq services,Chromatin shearing, Immunoprecipitation,Library Preparation ', 'meta_description' => 'Diagenode Offers Expert and Fully Customizable ChIP-Seq Services for Chromatin Shearing, Immunoprecipitation Followed by Library Preparation and Sequencing including Bioinformatic analysis.', 'meta_title' => 'ChIP-Seq Analysis and ChIP-Seq Services | Diagenode', 'modified' => '2024-02-29 13:37:23', 'created' => '2015-08-03 16:11:06', 'ProductsCategory' => array( [maximum depth reached] ), 'CookiesTag' => array( [maximum depth reached] ) ), (int) 1 => array( 'id' => '121', 'position' => '9', 'parent_id' => null, 'name' => 'Epigenomics Profiling Services', 'description' => '<div class="row"> <div class="small-12 medium-10 large-10 columns text-left"> <p>Our Epigenomics Profiling Services assure the sample preparation expertise and quality data that you seek. We provide epigenome-wide analyses for understanding epigenetic mechanisms, epigenetics-related drug discovery, transgenerational epigenetics studies, epigenetic biomarker identification (including epigenomic cancer biomarkers), and functional epigenomics. Diagenode offers expert epigenomics services that you can trust for chromatin, DNA, and RNA analysis. </p> </div> <div class="small-12 medium-2 large-2 columns text-left"><img src="https://www.diagenode.com/img/logo-scientist-registered-supplier.png" /></div> </div> <center><img alt="DNA-RNA-Chromatin-Diagenode" src="https://www.diagenode.com/img/categories/services/chromatin-dna-rna.png" /></center> <div class="row"> <div class="small-12 medium-4 large-4 columns text-left"> <div class="panel" style="border-color: #099f92;"> <h3><span class="green">Chromatin</span> analysis</h3> <ul> <li>ChIP-seq analysis Histone modification</li> <li>Promoter analysis</li> <li>Enhancer analysis</li> <li>ChIP-seq analysis Transcription factor </li> <li>(sc)ATAC-seq Chromatin accessibility</li> <li>ChIP-seq Cas9 off-target</li> <li>Customized NGS service</li> </ul> <p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/chip-seq-service">Learn more</a></p> </div> </div> <div class="small-12 medium-4 large-4 columns text-left"> <div class="panel" style="border-color: #474546;"> <h3><span class="darkgrey">DNA methylation</span> analysis</h3> <ul> <li>Reduced representation bisulfite sequencing (RRBS)</li> <li>Whole genome bisulfite sequencing (WGBS)</li> <li>Targeted methylation</li> <li>MeDIP-seq/hMeDIP-seq</li> <li>Infinium MethylationEPIC array </li> </ul> <p></p> <p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/dna-methylation-profiling-services">Learn more</a></p> </div> </div> <div class="small-12 medium-4 large-4 columns text-left"> <div class="panel" style="border-color: #b11e33;"> <h3><span class="diacol"><g class="gr_ gr_44 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace" id="44" data-gr-id="44">RNA-seq</g></span> analysis</h3> <ul> <li><span style="display: inline !important; float: none; background-color: #f8f8f8; color: #333333; font-family: Helvetica,Arial,sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;">Gene expression profiling</span></li> <li>mRNA<span style="display: inline !important; float: none; background-color: #f8f8f8; color: #333333; font-family: Helvetica,Arial,sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;"> analysis</span></li> <li>Small non-coding RNA analysis</li> <li><b></b>Whole transcriptome analysis<br /><br /><br /><br /><br /></li> </ul> <p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/rna-seq-category">Learn more</a></p> </div> </div> </div> <h2 style="text-align: center;"><a class="details radius small button" href="https://www.diagenode.com/en/documents/services-flyer">DOWNLOAD OUR FLYER</a></h2> <h2>Why Diagenode</h2> <ul> <li><strong>Expertise and trust</strong>: Recognized epigenetics leader, official partner of <a href="http://www.blueprint-epigenome.eu/"><g class="gr_ gr_45 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace" id="45" data-gr-id="45">BLUEPRINT</g></a>, <a href="http://ihec-epigenomes.org/">IHEC</a> <g class="gr_ gr_46 gr-alert gr_gramm gr_inline_cards gr_disable_anim_appear Punctuation only-ins replaceWithoutSep" id="46" data-gr-id="46">and</g> <a href="https://www.faang.org/">FAANG</a></li> <li><strong>Innovative technology</strong>: Utilization of the signature Bioruptor<sup>®</sup> sonication device for optimal chromatin and DNA shearing and the IP-Star<sup>®</sup> Automation device give reproducible and reliable optimization and results</li> <li><strong>Quality</strong>: Multiple QC steps in all workflows and validated antibodies plus reagents deliver superior data</li> <li><strong>Flexibility</strong>: Extensive range of sample species and sample origins</li> <li><strong>Experience</strong> in epigenomics profiling for a wide range of applications and fields of interest</li> </ul> <div class="extra-spaced"> <ul class="small-block-grid-2 medium-block-grid-3 large-block-grid-3"> <li> <div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">HUMAN</span><center><img width="260" height="259" alt="services chip-seq - human" src="https://www.diagenode.com/img/categories/services/services-humans.png" caption="false" /></center></div> </li> <li> <div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">ANIMALS</span><center><img width="260" height="259" alt="services chip-seq - animals" src="https://www.diagenode.com/img/categories/services/services-animals.png" caption="false" /></center></div> </li> <li> <div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">PLANTS</span><center><img width="260" height="259" alt="services methylation-plant" src="https://www.diagenode.com/img/categories/services/services-plants.png" caption="false" /></center></div> </li> </ul> </div> <h2>12 years of expertise and trust in epigenetics</h2> <ul> <li><strong>End-to-end</strong> epigenetic service</li> <li><strong>Collaborative</strong> and customized project design</li> <li>Dedicated <strong>in-house expert</strong> for your project</li> <li><strong>Integrative</strong> data analysis</li> <li>Presentation-<strong>quality data</strong> and graphs</li> </ul> <center><iframe width="560" height="315" allowfullscreen="allowfullscreen" allow="autoplay; encrypted-media" frameborder="0" src="https://www.youtube.com/embed/nFjNye25m4E"></iframe></center>', 'no_promo' => true, 'in_menu' => false, 'online' => true, 'tabular' => false, 'hide' => false, 'all_format' => false, 'is_antibody' => false, 'slug' => 'Services', 'cookies_tag_id' => '3', 'meta_keywords' => 'Epigenetic services,ChIP-seq,RRBS, WGBS', 'meta_description' => 'Diagenode offers expert epigenomics services that you can trust for chromatin, DNA, and RNA analysis.', 'meta_title' => 'Epigenomics Profiling Services | Diagenode', 'modified' => '2020-12-21 05:45:06', 'created' => '2016-08-30 16:40:51', 'ProductsCategory' => array( [maximum depth reached] ), 'CookiesTag' => array( [maximum depth reached] ) ) ), 'Document' => array( (int) 0 => array( 'id' => '1052', 'name' => 'Epigenomics Profiling Services', 'description' => '<ul> <li>Chromatin analysis</li> <li>DNA methylation services</li> <li>RNA-seq analysis</li> </ul>', 'image_id' => null, 'type' => 'Flyer', 'url' => 'files/flyers/epigenomics_profiling_services_flyer.pdf', 'slug' => 'services-flyer', 'meta_keywords' => '', 'meta_description' => '', 'modified' => '2020-04-23 16:22:55', 'created' => '2019-06-13 11:36:20', 'ProductsDocument' => array( [maximum depth reached] ) ) ), 'Feature' => array(), 'Image' => array(), 'Promotion' => array(), 'Protocol' => array(), 'Publication' => array( (int) 0 => array( 'id' => '4927', 'name' => 'Inflammatory stress-mediated chromatin changes underlie dysfunction in endothelial cells', 'authors' => 'Liu H. et al.', 'description' => '<p><span>Inflammatory stresses underlie endothelial dysfunction and contribute to the development of chronic cardiovascular disorders such as atherosclerosis and vascular fibrosis. The initial transcriptional response of endothelial cells to pro-inflammatory cytokines such as TNF-alpha is well established. However, very few studies uncover the effects of inflammatory stresses on chromatin architecture. We used integrative analysis of ATAC-seq and RNA-seq data to investigate chromatin alterations in human endothelial cells in response to TNF-alpha and febrile-range heat stress exposure. Multi-omics data analysis suggests a correlation between the transcription of stress-related genes and endothelial dysfunction drivers with chromatin regions exhibiting differential accessibility. Moreover, microscopy identified the dynamics in the nuclear organization, specifically, the changes in a subset of heterochromatic nucleoli-associated chromatin domains, the centromeres. Upon inflammatory stress exposure, the centromeres decreased association with nucleoli in a p38-dependent manner and increased the number of transcripts from pericentromeric regions. Overall, we provide two lines of evidence that suggest chromatin alterations in vascular endothelial cells during inflammatory stresses.</span></p>', 'date' => '2023-10-16', 'pmid' => 'https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614786/', 'doi' => '10.1101/2023.10.11.561959', 'modified' => '2024-03-27 15:15:21', 'created' => '2024-03-27 15:15:21', 'ProductsPublication' => array( [maximum depth reached] ) ), (int) 1 => array( 'id' => '4097', 'name' => ' Answer ALS: A Large-Scale Resource for Sporadic and Familial ALS Combining Clinical Data with Multi-Omics Data from Induced Pluripotent Cell Lines', 'authors' => 'Jeffrey Rothstein, James Berry, Clive Svendsen, Leslie Thompson, Steven Finkbeiner, Jennifer Van Eyk, Ernest Fraenkel, Merit Cudkowicz, Nicholas Maragakis, Dhruv Sareen, Raquel Norel, Victoria Dardov, Alyssa Coyne, Aaron Frank, Andrea Matlock', 'description' => '<p><span>Answer ALS is a comprehensive multi-omics approach to ALS to ascertain, at a population level, the various clinical-molecular- biochemical subtypes of sporadic ALS. This national program enrolled 1046 ALS and ALS/FTD patients along with a cohort of 100 matched control patients followed longitudinally over at least one year. A smartphone-based app was employed to collect deep clinical data including fine motor activity, speech, breathing and linguistics/cognition. Analytics of the speech patterns revealed a strong correlation between clinical progression indices and speech. In parallel, blood-derived iPS motor neurons were generated from each patient and the cells underwent multi-omics analytics including whole genome sequencing, RNA transcriptomics, ATAC-Seq and proteome along with quality assurance standards. HIPPA compliant cloud data bases were employed to store all data. There are more than 6 billion clinical and molecular data points per patient generated in the program. The program was designed, and patient consented, to be open access to all clinical, biological and molecular data as well as public release of all generated iPS cell lines. A web portal is available to academics as well as commercial researchers. The ultimate intent of this data is for the generation of Integrated clinical and biological signatures using bioinformatics, statistics and computational biology to establish patterns that may lead to a better understanding of the underlying mechanisms of disease including subgroup identification. Overall, this community based clinical and science program provides for the identification of distinct reliably identifiable subgroups among the sporadic and familial patients and the great utility in iPS based approaches to disease pathophysiology and therapy discovery. Although the data is ALS centric, given the large number of both ALS and control data sets, it would also be enormously useful to others studying frontotemporal dementia, Alzheimer’s, Parkinson’s disease and others.</span></p>', 'date' => '2022-02-03', 'pmid' => 'https://pubmed.ncbi.nlm.nih.gov/35115730/', 'doi' => '10.1038/s41593-021-01006-0', 'modified' => '2022-02-09 16:40:32', 'created' => '2021-04-07 10:26:36', 'ProductsPublication' => array( [maximum depth reached] ) ) ), 'Testimonial' => array(), 'Area' => array(), 'SafetySheet' => array() ) $country = 'US' $countries_allowed = array( (int) 0 => 'CA', (int) 1 => 'US', (int) 2 => 'IE', (int) 3 => 'GB', (int) 4 => 'DK', (int) 5 => 'NO', (int) 6 => 'SE', (int) 7 => 'FI', (int) 8 => 'NL', (int) 9 => 'BE', (int) 10 => 'LU', (int) 11 => 'FR', (int) 12 => 'DE', (int) 13 => 'CH', (int) 14 => 'AT', (int) 15 => 'ES', (int) 16 => 'IT', (int) 17 => 'PT' ) $outsource = false $other_formats = array() $edit = '' $testimonials = '' $featured_testimonials = '' $related_products = '<li> <div class="row"> <div class="small-12 columns"> <a href="/jp/p/data-mining-service"><img src="https://www.diagenode.com/img/product/data-mining.jpg" alt="Bioinformatics Data Mining Service" class="th"/></a> </div> <div class="small-12 columns"> <div class="small-6 columns" style="padding-left:0px;padding-right:0px;margin-top:-6px;margin-left:-1px"> <span class="success label" style="">G02100000</span> </div> <div class="small-6 columns text-right" style="padding-left:0px;padding-right:0px;margin-top:-6px"> <!--a href="#" style="color:#B21329"><i class="fa fa-info-circle"></i></a--> <!-- BEGIN: QUOTE MODAL --><div id="quoteModal-3022" class="reveal-modal small" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>データマイニングサービス</strong>. 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style="padding-left:0px;padding-right:0px;margin-top:-6px;margin-left:-1px"> <span class="success label" style="">G02010000</span> </div> <div class="small-6 columns text-right" style="padding-left:0px;padding-right:0px;margin-top:-6px"> <!--a href="#" style="color:#B21329"><i class="fa fa-info-circle"></i></a--> <!-- BEGIN: QUOTE MODAL --><div id="quoteModal-2681" class="reveal-modal small" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>our epigenomics services</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p> </div> </div> <form action="/jp/quotes/quote?id=2681" id="Quote-2681" class="quote" method="post" accept-charset="utf-8"><div style="display:none;"><input type="hidden" name="_method" value="POST"/></div><input type="hidden" name="data[Quote][product_id]" value="2681" id="QuoteProductId"/><input type="hidden" name="data[Quote][formLoaded6tY4bPYk]" value="Y3hVSnQrR296K1g0SjNhSWFwUTBqUT09" id="QuoteFormLoaded6tY4bPYk"/><input type="hidden" name="data[Quote][product_rfq_tag]" value="service-chip-seq" id="QuoteProductRfqTag"/><input type="hidden" name="data[Quote][source_quote]" value="modal quote" id="QuoteSourceQuote"/> <div class="row collapse"> <h2>Service Information</h2> </div> <div class="small-12 large-12 columns"> <h4>Which services are you interested in?</h4> </div> <div class="small-12 large-12 columns"> <input type="hidden" name="data[Quote][epigenomics_service]" value="" id="QuoteEpigenomicsService"/> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="ChIP-seq" id="QuoteEpigenomicsServiceChIPSeq" /><label for="QuoteEpigenomicsServiceChIPSeq">ChIP-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="ATAC-seq" id="QuoteEpigenomicsServiceATACSeq" /><label for="QuoteEpigenomicsServiceATACSeq">ATAC-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="RRBS" id="QuoteEpigenomicsServiceRRBS" /><label for="QuoteEpigenomicsServiceRRBS">RRBS</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="WGBS" id="QuoteEpigenomicsServiceWGBS" /><label for="QuoteEpigenomicsServiceWGBS">WGBS</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="MeDIP-seq" id="QuoteEpigenomicsServiceMeDIPSeq" /><label for="QuoteEpigenomicsServiceMeDIPSeq">MeDIP-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Targeted DNA methylation analysis" id="QuoteEpigenomicsServiceTargetedDNAMethylationAnalysis" /><label for="QuoteEpigenomicsServiceTargetedDNAMethylationAnalysis">Targeted DNA methylation analysis</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Infinium MethylationEPIC Array v2" id="QuoteEpigenomicsServiceInfiniumMethylationEPICArrayV2" /><label for="QuoteEpigenomicsServiceInfiniumMethylationEPICArrayV2">Infinium MethylationEPIC Array v2</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Infinium Mouse Methylation Array" id="QuoteEpigenomicsServiceInfiniumMouseMethylationArray" /><label for="QuoteEpigenomicsServiceInfiniumMouseMethylationArray">Infinium Mouse Methylation Array</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="RNA-seq" id="QuoteEpigenomicsServiceRNASeq" /><label for="QuoteEpigenomicsServiceRNASeq">RNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Bioinformatics" id="QuoteEpigenomicsServiceBioinformatics" /><label for="QuoteEpigenomicsServiceBioinformatics">Bioinformatics</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Data mining" id="QuoteEpigenomicsServiceDataMining" /><label for="QuoteEpigenomicsServiceDataMining">Data mining</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Human Methylome" id="QuoteEpigenomicsServiceHumanMethylome" /><label for="QuoteEpigenomicsServiceHumanMethylome">Human Methylome</label></div> </div> <div class="row collapse"> <div class="small-12 medium-12 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text-right" style="padding-left:0px;padding-right:0px;margin-top:-6px"> <!--a href="#" style="color:#B21329"><i class="fa fa-info-circle"></i></a--> <!-- BEGIN: QUOTE MODAL --><div id="quoteModal-2903" class="reveal-modal small" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>RNA-seq 受託サービス</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p> </div> </div> <form action="/jp/quotes/quote?id=2903" id="Quote-2903" class="quote" method="post" accept-charset="utf-8"><div style="display:none;"><input type="hidden" name="_method" value="POST"/></div><input type="hidden" name="data[Quote][product_id]" value="2903" id="QuoteProductId"/><input type="hidden" name="data[Quote][formLoaded6tY4bPYk]" value="Y3hVSnQrR296K1g0SjNhSWFwUTBqUT09" id="QuoteFormLoaded6tY4bPYk"/><input type="hidden" name="data[Quote][product_rfq_tag]" value="rna-seq-services" id="QuoteProductRfqTag"/><input type="hidden" name="data[Quote][source_quote]" value="modal quote" id="QuoteSourceQuote"/> <div class="row collapse"> <h2>Your project</h2> </div> <div class="small-12 large-12 columns"> <h4>Which services are you interested in?</h4> </div> <div class="small-12 large-12 columns"> <input type="hidden" name="data[Quote][rna_seq_service]" value="" id="QuoteRnaSeqService"/> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="High-throughput 3mRNA-seq" id="QuoteRnaSeqServiceHighThroughput3mRNASeq" /><label for="QuoteRnaSeqServiceHighThroughput3mRNASeq">High-throughput 3mRNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="mRNA-seq" id="QuoteRnaSeqServiceMRNASeq" /><label for="QuoteRnaSeqServiceMRNASeq">mRNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Small RNA-seq" id="QuoteRnaSeqServiceSmallRNASeq" /><label for="QuoteRnaSeqServiceSmallRNASeq">Small RNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Total RNA-seq" id="QuoteRnaSeqServiceTotalRNASeq" /><label for="QuoteRnaSeqServiceTotalRNASeq">Total RNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Bioinformatics" id="QuoteRnaSeqServiceBioinformatics" /><label for="QuoteRnaSeqServiceBioinformatics">Bioinformatics</label></div> </div> <div class="row collapse"> <div class="small-12 medium-12 large-3 columns"> <span class="prefix">Sample species</span> </div> <div class="small-12 medium-12 large-9 columns"> <input name="data[Quote][sample_species]" maxlength="510" type="text" id="QuoteSampleSpecies"/> </div> </div> <div class="row collapse"> <div class="small-12 medium-12 large-6 columns"> <span class="prefix">Total number of samples (including replicates)</span> </div> <div class="small-12 medium-12 large-6 columns"> <input name="data[Quote][number_samples]" maxlength="255" type="text" id="QuoteNumberSamples"/> </div> </div> <div class="row collapse"> <h2>Contact Information</h2> <div class="small-3 large-2 columns"> <span class="prefix">First name <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][first_name]" placeholder="john" maxlength="255" type="text" id="QuoteFirstName" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Last name <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][last_name]" placeholder="doe" maxlength="255" type="text" id="QuoteLastName" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Company <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][company]" placeholder="Organisation / Institute" maxlength="255" type="text" id="QuoteCompany" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Phone number</span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][phone_number]" placeholder="+1 862 209-4680" maxlength="255" type="text" id="QuotePhoneNumber"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">City</span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][city]" placeholder="Denville" maxlength="255" type="text" id="QuoteCity"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Country <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <select name="data[Quote][country]" required="required" class="triggers" id="country_selector_quote-2903"> <option value="">-- select a country --</option> <option value="AF">Afghanistan</option> <option value="AX">Åland Islands</option> <option value="AL">Albania</option> <option value="DZ">Algeria</option> <option value="AS">American Samoa</option> <option value="AD">Andorra</option> <option 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value="GE">Georgia</option> <option value="DE">Germany</option> <option value="GH">Ghana</option> <option value="GI">Gibraltar</option> <option value="GR">Greece</option> <option value="GL">Greenland</option> <option value="GD">Grenada</option> <option value="GP">Guadeloupe</option> <option value="GU">Guam</option> <option value="GT">Guatemala</option> <option value="GG">Guernsey</option> <option value="GN">Guinea</option> <option value="GW">Guinea-Bissau</option> <option value="GY">Guyana</option> <option value="HT">Haiti</option> <option value="HM">Heard Island and McDonald Islands</option> <option value="VA">Holy See (Vatican City State)</option> <option value="HN">Honduras</option> <option value="HK">Hong Kong</option> <option value="HU">Hungary</option> <option value="IS">Iceland</option> <option value="IN">India</option> <option value="ID">Indonesia</option> <option value="IR">Iran, Islamic Republic of</option> <option value="IQ">Iraq</option> <option value="IE">Ireland</option> 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value="MG">Madagascar</option> <option value="MW">Malawi</option> <option value="MY">Malaysia</option> <option value="MV">Maldives</option> <option value="ML">Mali</option> <option value="MT">Malta</option> <option value="MH">Marshall Islands</option> <option value="MQ">Martinique</option> <option value="MR">Mauritania</option> <option value="MU">Mauritius</option> <option value="YT">Mayotte</option> <option value="MX">Mexico</option> <option value="FM">Micronesia, Federated States of</option> <option value="MD">Moldova</option> <option value="MC">Monaco</option> <option value="MN">Mongolia</option> <option value="ME">Montenegro</option> <option value="MS">Montserrat</option> <option value="MA">Morocco</option> <option value="MZ">Mozambique</option> <option value="MM">Myanmar</option> <option value="NA">Namibia</option> <option value="NR">Nauru</option> <option value="NP">Nepal</option> <option value="NL">Netherlands</option> <option value="NC">New Caledonia</option> <option 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Although the data is ALS centric, given the large number of both ALS and control data sets, it would also be enormously useful to others studying frontotemporal dementia, Alzheimer’s, Parkinson’s disease and others.</span></p>', 'date' => '2022-02-03', 'pmid' => 'https://pubmed.ncbi.nlm.nih.gov/35115730/', 'doi' => '10.1038/s41593-021-01006-0', 'modified' => '2022-02-09 16:40:32', 'created' => '2021-04-07 10:26:36', 'ProductsPublication' => array( 'id' => '5123', 'product_id' => '2991', 'publication_id' => '4097' ) ) $externalLink = ' <a href="https://pubmed.ncbi.nlm.nih.gov/35115730/" target="_blank"><i class="fa fa-external-link"></i></a>'include - APP/View/Products/view.ctp, line 755 View::_evaluate() - CORE/Cake/View/View.php, line 971 View::_render() - CORE/Cake/View/View.php, line 933 View::render() - CORE/Cake/View/View.php, line 473 Controller::render() - CORE/Cake/Controller/Controller.php, line 963 ProductsController::slug() - APP/Controller/ProductsController.php, line 1052 ReflectionMethod::invokeArgs() - [internal], line ?? 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Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved. </span></span></span></p> <h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Pathway analysis</i><span style="font-weight: 400;">: </span></span></span></span></h4> <p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented. </span></span></span></span></p> <h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Visualization of specific genomic regions:</i><span style="font-weight: 400;"> </span></span></span></span></span></h4> <p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images (human, mouse, rat). </span></span></span></span></span></p> <h2>Additional information</h2> <p><span style="font-weight: 400;">Generated files will be available for download during 1 month and stored for an additional period of 3 months on Diagenode’s servers. Additional long-term storage of data is available upon request. Original samples are stored at Diagenode during 12 months after project completion, but will be discarded once this time is exceeded. Return shipment of samples is available upon request. </span></p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>', 'label3' => '', 'info3' => '<p></p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>', 'format' => '', 'catalog_number' => 'G02060000', 'old_catalog_number' => '', 'sf_code' => '', 'type' => 'ACC', 'search_order' => '', 'price_EUR' => '/', 'price_USD' => '/', 'price_GBP' => '/', 'price_JPY' => '42800', 'price_CNY' => '/', 'price_AUD' => '/', 'country' => 'ALL', 'except_countries' => 'None', 'quote' => true, 'in_stock' => false, 'featured' => true, 'no_promo' => true, 'online' => true, 'master' => true, 'last_datasheet_update' => '', 'slug' => 'atac-seq-service', 'meta_title' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'meta_keywords' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'meta_description' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'modified' => '2024-01-10 18:05:12', 'created' => '2018-09-06 10:53:39', 'locale' => 'jpn' ), 'Antibody' => array( 'host' => '*****', 'id' => null, 'name' => null, 'description' => null, 'clonality' => null, 'isotype' => null, 'lot' => null, 'concentration' => null, 'reactivity' => null, 'type' => null, 'purity' => null, 'classification' => null, 'application_table' => null, 'storage_conditions' => null, 'storage_buffer' => null, 'precautions' => null, 'uniprot_acc' => null, 'slug' => null, 'meta_keywords' => null, 'meta_description' => null, 'modified' => null, 'created' => null, 'select_label' => null ), 'Slave' => array(), 'Group' => array(), 'Related' => array( (int) 0 => array( 'id' => '3022', 'antibody_id' => null, 'name' => 'Bioinformatics Data Mining Service', 'description' => '<h2 class="text-center"><span class="diacol">New!</span> <br />Data mining using machine learning (AI) for unique epigenetic data insights</h2> <center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center> <p></p> <div id="paper" style="text-align: center;"> <h4><a href="https://www.youtube.com/watch?v=KXjnSHz3Jk8">Watch the webinar to gain insights on how data mining can be applied for epigenetics applications</a></h4> </div> <center><iframe width="560" height="315" src="https://www.youtube.com/embed/KXjnSHz3Jk8" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen="allowfullscreen"></iframe></center> <p></p> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px; font-size: 22px;">WHITE PAPERS</span> <div id="portal" class="main-portal"> <div class="portal-inner"><nav class="portal-nav" style="text-align: left;"> <ul data-tab="" class="tips-menu"> <li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li> <li><a href="#panel2" class="tips portal button">Breast cancer</a></li> </ul> </nav></div> </div> <div class="tabs-content"> <div class="content active" id="panel1"> <h3 style="margin-top: 0;">Powerful new insights with epigenetic data mining.<br /> A study to distinguish smokers from non-smokers using just one droplet of blood</h3> <p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p> <a href="https://www.diagenode.com/en/pages/form-bioinfo" class="alert small button" target="_blank">Read more</a></div> <div class="content" id="panel2"> <h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3> <p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p> <p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p> <a href="https://www.diagenode.com/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div> </div> </blockquote> </div> </div> <p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p> <p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p> <p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p> <p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</p> <table class="extra-spaced"> <tbody> <tr> <td><strong>Epigenetic data</strong></td> <td><strong>Transcriptomic data</strong></td> </tr> <tr> <td> <p>DNA Methylation (RRBS, WGBS, EPIC arrays)</p> <p>ChIP-sequencing</p> <p>ATAC-seq</p> </td> <td> <p>mRNA-sequencing</p> <p>Small and long non coding RNA</p> <p>Single-cell RNA-sequencing</p> </td> </tr> </tbody> </table> <p></p> <p><strong>Biological Interpretation</strong></p> <p class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. In order to achieve this, we offer biological interpretation services and pathway mining analyses for your data.</p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'label1' => 'Data mining modules ', 'info1' => '<ol> <li><strong>Feasibility study</strong></li> </ol> <ul> <li>Assessment of data characteristics and <span></span>applicability of different machine learning (ML)</li> <li>Prototypic analyses:</li> <li>Initial feasibility report</li> </ul> <p></p> <ol start="2"> <li><strong>Data Mining</strong></li> </ol> <ul> <li>Machine learning on data</li> <li>Data evaluation and validation</li> <li>Report generation</li> </ul> <p> </p> <ol start="3"> <li><strong>Data Interpretation</strong></li> </ol> <ul> <li>Integration of background knowledge</li> <li>Functional interpretation / pathway mining</li> <li>Scientific reporting</li> </ul> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'label2' => 'Integration with wet lab services and bioinformatics', 'info2' => '<p>A clear advantage of <strong>Diagenode’s data mining services</strong> is the close connection with<span> </span>other service offerings like <strong>wet lab analysis services</strong> and <strong>bioinformatics services</strong>. 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Determining how proteins interact with DNA to regulate gene expression is essential to fully understand many biological processes such as cell differentiation, organ development, and disease progression. The experts from our Epigenomics Profiling Services can help you to design your ChIP-seq project, optimize the workflow for your specific sample type/target, and provide you with high quality ChIP-seq data.</p> <p>We use in house optimized reagents:</p> <ul> <li>Validated ChIP-seq Kits</li> <li>Validated ChIP-seq grade antibodies</li> </ul> <p>And in-house developed equipment:</p> <ul> <li><strong>Bioruptor </strong>– for efficient and reproducible chromatin shearing</li> </ul> <p>We have expertise with many different types of samples as well as with a broad range of chromatin marks and can provide you with quality data even on very low input samples. Our bioinformatic experts will closely work with you to provide you with standard or customized analysis and will generate comprehensive publication-ready figures.</p> <ul> <li>Collaborative and customized project design to meet your needs</li> <li>Dedicated in-house expert</li> <li>End-to-end or customized service including wet lab and bioinformatic services</li> </ul> <p class="text-center"><img alt="ChIP Sequencing Services" src="https://www.diagenode.com/img/categories/chip_seq/ChIP-seq-success-experiment-WEB.png" /></p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'label1' => 'ChIP-seq service description', 'info1' => '<p>In order to provide you with the highest quality data, our ChIP-seq service is composed of two major steps:</p> <ol> <li><strong>ChIP validation</strong> - during this step we optimize the ChIP conditions that depend on your sample type, target and amount of cells.</li> <li><strong>ChIP on sample of interest</strong> - once the best ChIP conditions are validated, the samples of interest can be processed.</li> </ol> <p></p> <p>ChIP-seq service includes:</p> <table style="width: 918px;"> <tbody> <tr style="height: 62px;"> <td style="width: 218px; height: 220px; background-color: #f9f9f9;" rowspan="3"><strong>1. ChIP validation</strong></td> <td style="width: 417px; height: 62px;"><strong>Chromatin Shearing validation</strong></td> <td style="width: 568px; height: 62px;"> <ul> <li>Testing 2 shearing times for each cell type/tissue type</li> </ul> </td> </tr> <tr style="height: 27px;"> <td style="width: 417px; height: 27px; background-color: white;"><strong>ChIP/Ab validation</strong></td> <td style="width: 417px; height: 27px; background-color: white;"> <ul> <li>Testing 2 Ab amounts and/or 2 Ab references per target of interest</li> <li>qPCR analysis if positive and negative control regions can be provided</li> <li>Library preparation on IPs and INPUTs material</li> <li>Illumina sequencing run : Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li> <li>Quality check, alignment to reference genome, identification of enriched regions (peak calling)</li> </ul> </td> </tr> <tr style="height: 131px;"> <td style="width: 417px; height: 131px;"><strong>Primers design and validation</strong></td> <td style="width: 568px; height: 131px;"> <ul> <li>Performed on gDNA based on the data obtained during the ChIP/Ab validation. Those primers will be used for further qPCR validation of the ChIP on the samples of interest</li> </ul> </td> </tr> <tr style="height: 38px;"> <td style="width: 218px; height: 38px; background-color: white;"></td> <td style="width: 218px; height: 38px;"></td> <td style="width: 218px; height: 38px;"></td> </tr> <tr style="height: 59px;"> <td style="width: 218px; height: 216px; background-color: #f9f9f9; text-align: center;" rowspan="3"><strong>2. ChIP on sample of interest</strong></td> <td style="width: 417px; height: 59px;"><strong>Chromatin IP</strong></td> <td style="width: 568px; height: 59px;"> <ul> <li>Chromatin shearing</li> <li>IPs</li> <li>qPCR analysis using primers that have been validated during the ChIP validation</li> </ul> </td> </tr> <tr style="height: 69px;"> <td style="width: 568px; height: 69px; background-color: white;"><strong>Library Preparation</strong></td> <td style="width: 568px; height: 69px; background-color: white;"> <ul> <li>Library preparation and purification on IPs and INPUTs material</li> </ul> </td> </tr> <tr style="height: 88px;"> <td style="width: 417px; height: 88px;"><strong>Sequencing</strong></td> <td style="width: 568px; height: 88px;"> <ul> <li>Illumina sequencing run: Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li> </ul> </td> </tr> </tbody> </table> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>', 'label2' => 'Bioinformatic analysis', 'info2' => '<h3>Bioinformatic analyses on samples of interest</h3> <table style="width: 972px;"> <tbody> <tr style="height: 107px; border-color: 1px;"> <td style="width: 137px; height: 107px; background-color: #f9f9f9; text-align: center;"><strong>Standard bioinformatics</strong></td> <td style="width: 358px; height: 107px;"> <p style="text-align: center;"></p> </td> <td style="width: 466px; height: 107px;"> <ul> <li>Quality check, alignment to reference genome, identification of enriched regions (peak calling)</li> </ul> </td> </tr> <tr style="height: 24px;"> <td style="width: 137px; height: 24px; background-color: white; text-align: center;"><strong></strong></td> <td style="width: 137px; height: 24px; background-color: #f9f9f9; text-align: center;"></td> <td style="width: 137px; height: 24px; background-color: #f9f9f9; text-align: center;"></td> </tr> <tr style="height: 41px;"> <td style="width: 137px; height: 170px; background-color: #f9f9f9; text-align: center;" rowspan="5"><strong>Advanced bioinformatics</strong></td> <td style="width: 466px; height: 41px; background-color: white;"> <p style="text-align: center;"><strong>Differential binding analysis</strong></p> </td> <td style="width: 466px; height: 41px; background-color: white;"> <ul> <li>Identification and annotation of differential binding sites between samples based on previously identified ChIP-seq peaks</li> </ul> </td> </tr> <tr style="height: 33px;"> <td style="width: 466px; height: 33px; background-color: white; text-align: center;"><strong>Annotation in genomic regions</strong></td> <td style="width: 466px; height: 33px; background-color: white;"> <ul> <li>Annotation of ChIP-seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions</li> </ul> </td> </tr> <tr style="height: 26px;"> <td style="width: 466px; height: 26px; background-color: white; text-align: center;"><strong>Gene ontology termes analysis</strong></td> <td style="width: 466px; height: 26px; background-color: white;"> <ul> <li>Enrichment analysis on gene sets. 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Collaborative and customized project design to meet your needs. Dedicated in-house expert.', 'modified' => '2024-02-29 13:30:50', 'created' => '2015-08-26 17:17:38', 'ProductsRelated' => array( [maximum depth reached] ), 'Image' => array([maximum depth reached]) ), (int) 2 => array( 'id' => '2903', 'antibody_id' => null, 'name' => 'Total RNA-seq Service', 'description' => '<div class="extra-spaced"> <p>Exploring the whole transcriptome allows to gain insight of potential transcriptional and regulatory network mechanisms. With <b>Total RNA-seq </b>services, we will sequence the whole transcriptome and record the complete set of RNA transcripts, including mRNAs and long non-coding RNAs, present in a biological sample under specific circumstances. This approach is optimal for finding biomarkers from known transcripts and discover new RNA features.</p> <p>Our Epigenomics Profiling Services assure a fully integrated service-workflow for generation of RNA-seq libraries, multiplexed sequencing and data analysis. Serviced library preparation can be performed with an optional rRNA depletion step to enable cost-effective sequencing of RNA samples.</p> </div> <h2>High discovery power with total RNA-seq</h2> <ul class="square"> <li>Detection of both coding and non-coding RNAs with optional rRNA depletion</li> <li>Recognition of long coding RNAs involved in chromatin remodeling and transcriptional/post-transcriptional regulation</li> <li>Investigation of the structure of genes, their splicing patterns and other post transcriptional modifications</li> <li>Suitable for a broad range of input amounts</li> <li>Compatible with FFPE samples</li> <li>Fast turnaround time (from 5 to 6 weeks)</li> </ul> <p><span><i class="fa fa-arrow-circle-right"></i> </span><a href="https://www.diagenode.com/en/categories/rna-seq-category">See our other RNA-seq Profiling Services</a></p>', 'label1' => 'Sample Requirements', 'info1' => '<div class="extra-spaced"> <ul> <li><strong>Project size</strong>: minimum of 24 samples</li> <li><strong>Sample type</strong>: total isolated RNA</li> <li><strong>Required quantities</strong>: minimum 5 ng of total RNA (Human, Mouse, Rat) or 100 ng (Plant)</li> <li><strong>Shipment conditions</strong>: shipped in 1.5 mL or 0.5 mL tubes on dry ice</li> </ul> </div>', 'label2' => 'Services Workflow', 'info2' => '<center><img alt="Total RNA-seq Service" src="https://www.diagenode.com/img/product/services/ToatlRNA-seq_Workflow.png" /></center> <div class="extra-spaced"> <h3 class="green">What our service includes</h3> <ol> <li><strong>RNA quality control</strong></li> <ul> <li>Determination of RIN value (RNA integration number)</li> <li>Measurement of RNA concentration</li> </ul> <li><strong>Library preparation</strong></li> <ul> <li>Optional rRNA depletion</li> <li>Stranded library construction</li> <li>Quality control of libraries prior to sequencing</li> </ul> <li><strong>Sequencing on Illumina platforms</strong></li> <ul> <li>50 million raw reads per sample</li> </ul> <li><strong>Data analysis</strong> (optional for additional fee)</li> <ul> <li>Standard bioinformatic analysis</li> <li>Advanced bioinformatic analysis</li> <li>Data delivery of raw data and all generated files through fast and secure file transfer or hard drive upon request</li> </ul> </ol> </div>', 'label3' => 'Bioinformatics Analysis', 'info3' => '<table style="padding: 40px;"> <tbody> <tr> <td> <h4 class="text-center"><strong>Standard bioinformatic analysis</strong><br /> (optional for additional fee)</h4> </td> <td> <h4 class="text-center"><strong>Advanced bioinformatic analysis</strong><br /> (optional for additional fee)</h4> </td> </tr> <tr> <td style="vertical-align: top; padding-left: 20px;"> <ul> <li>Demultiplexing, read quality control, trimming and filtering</li> <li>Alignment to reference genome</li> <li>Quantification of coding and non-coding RNA biotypes with specialized quantification tool MGCount (<a href="https://doi.org/10.1186/s12859-021-04544-3">software developed by Diagenode</a>)</li> </ul> <br /> <p><em>Provided files:</em></p> <ul> <li>Report with sequencing statistics</li> <li>Raw data in FASTQ format</li> <li>FastQC report</li> <li>Alignment in BAM format</li> <li>Un-normalized read counts</li> </ul> </td> <td style="vertical-align: top;"> <ul> <li>Differential expression analysis</li> <li>Gene ontology terms analysis</li> <li>Pathway analysis</li> <li>Alternative splicing analysis</li> <li>Novel transcript identification</li> </ul> </td> </tr> </tbody> </table> <p></p>', 'format' => 'Custom', 'catalog_number' => 'G02030000', 'old_catalog_number' => '', 'sf_code' => '', 'type' => 'ACC', 'search_order' => '01-Accessory', 'price_EUR' => 'on request', 'price_USD' => 'on request', 'price_GBP' => 'on request', 'price_JPY' => '42800', 'price_CNY' => 'on request', 'price_AUD' => 'on request', 'country' => 'ALL', 'except_countries' => 'None', 'quote' => true, 'in_stock' => false, 'featured' => true, 'no_promo' => true, 'online' => true, 'master' => true, 'last_datasheet_update' => '', 'slug' => 'rna-seq-services', 'meta_title' => 'Total RNA-seq Service - Whole Transcriptome Analysis | Diagenode', 'meta_keywords' => '', 'meta_description' => 'Total RNA-seq examines the entire transcriptome in an unbiased fashion. The method captures both coding and non-coding RNA transcripts and quantifies gene expression heterogeneity', 'modified' => '2022-03-04 15:26:01', 'created' => '2017-07-26 15:01:26', 'ProductsRelated' => array( [maximum depth reached] ), 'Image' => array([maximum depth reached]) ) ), 'Application' => array(), 'Category' => array( (int) 0 => array( 'id' => '72', 'position' => '2', 'parent_id' => '121', 'name' => 'Chromatin Profiling Services', 'description' => '<div class="row"> <div class="small-12 medium-12 large-12 columns"><center></center></div> </div> <div class="row"> <div class="small-12 medium-4 large-4 columns"> <div class="panel"><center><img src="http://www.diagenode.com/img/categories/services/chip-workflow.png" alt="Chromatin-Immunoprecipitation-Diagenode" /></center> <p>Chromatin consists of DNA, histones and non-histone proteins. Understanding the roles of histones and transcription factors is critical in understanding the regulation of gene expression.</p> <p>Using ChIP-seq analysis, it is possible to profile histone modifications and transcription factor binding genome-wide to elucidate control of gene expression in disease or in response to a drug treatment. Diagenode’s Epigenomic Profiling Services offer a wide variety of chromatin analysis options through ChIP-seq and ATAC-seq.</p> </div> <center><img src="https://www.diagenode.com/img/logo-scientist-registered-supplier.png" /></center></div> <div class="small-12 medium-8 large-8 columns"><center><img src="http://www.diagenode.com/img/applications/histone-marks-helice.png" alt="Histone-Antibodies-Diagenode" /></center><br href="../p/service-chip-seq" /> <h3><a href="../p/atac-seq-service">ATAC-seq: open chromatin regions</a></h3> <p>Study genome-wide chromatin accessibility. Identify open chromatin sites and active regulatory elements such as promoter, enhancers, and insulators.</p> <ul> <ul> <li>Nucleosome positioning</li> </ul> </ul> <h3><a href="../p/service-chip-seq">ChIP-seq histone modifications</a></h3> <p>Post-translational modification of histones is implicated in the regulation of gene expression, necessitating the study of regulatory elements and their interacting proteins like active promoter and enhancer analysis. Profile genome-wide histone modifications by ChIP-seq analysis to understand transcriptional regulation</p> <ul> <li><strong>Active promoter profiling</strong>: H3K4me3 enrichment</li> <li><strong>Inactive promoter profiling</strong>: H3K27me3 enrichment</li> <li><strong>Enhancer profiling</strong>: H3K4me1 and H3K27ac enrichment in regulatory regions</li> <li><strong>Active gene body</strong>: H3K36me3</li> </ul> <h3><a href="../p/service-chip-seq">ChIP-seq Transcription Factors</a></h3> <p>Explore the effects of transcription factor binding through ChIP-seq analysis of a multitude of TFs including:</p> <ul> <li>CTCF: transcriptional repressor and insulator activity</li> <li>p300/CBP: histone acetyltransferase</li> <li>Pol II, p53, and more</li> <li>Epigenetic writers, readers, erasers</li> <li>Nuclear receptors</li> <li>Tumor suppressor genes</li> </ul> </div> </div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'no_promo' => true, 'in_menu' => true, 'online' => true, 'tabular' => true, 'hide' => false, 'all_format' => false, 'is_antibody' => false, 'slug' => 'chip-seq-service', 'cookies_tag_id' => '3', 'meta_keywords' => 'ChIP-seq services,Chromatin shearing, Immunoprecipitation,Library Preparation ', 'meta_description' => 'Diagenode Offers Expert and Fully Customizable ChIP-Seq Services for Chromatin Shearing, Immunoprecipitation Followed by Library Preparation and Sequencing including Bioinformatic analysis.', 'meta_title' => 'ChIP-Seq Analysis and ChIP-Seq Services | Diagenode', 'modified' => '2024-02-29 13:37:23', 'created' => '2015-08-03 16:11:06', 'ProductsCategory' => array( [maximum depth reached] ), 'CookiesTag' => array( [maximum depth reached] ) ), (int) 1 => array( 'id' => '121', 'position' => '9', 'parent_id' => null, 'name' => 'Epigenomics Profiling Services', 'description' => '<div class="row"> <div class="small-12 medium-10 large-10 columns text-left"> <p>Our Epigenomics Profiling Services assure the sample preparation expertise and quality data that you seek. We provide epigenome-wide analyses for understanding epigenetic mechanisms, epigenetics-related drug discovery, transgenerational epigenetics studies, epigenetic biomarker identification (including epigenomic cancer biomarkers), and functional epigenomics. Diagenode offers expert epigenomics services that you can trust for chromatin, DNA, and RNA analysis. </p> </div> <div class="small-12 medium-2 large-2 columns text-left"><img src="https://www.diagenode.com/img/logo-scientist-registered-supplier.png" /></div> </div> <center><img alt="DNA-RNA-Chromatin-Diagenode" src="https://www.diagenode.com/img/categories/services/chromatin-dna-rna.png" /></center> <div class="row"> <div class="small-12 medium-4 large-4 columns text-left"> <div class="panel" style="border-color: #099f92;"> <h3><span class="green">Chromatin</span> analysis</h3> <ul> <li>ChIP-seq analysis Histone modification</li> <li>Promoter analysis</li> <li>Enhancer analysis</li> <li>ChIP-seq analysis Transcription factor </li> <li>(sc)ATAC-seq Chromatin accessibility</li> <li>ChIP-seq Cas9 off-target</li> <li>Customized NGS service</li> </ul> <p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/chip-seq-service">Learn more</a></p> </div> </div> <div class="small-12 medium-4 large-4 columns text-left"> <div class="panel" style="border-color: #474546;"> <h3><span class="darkgrey">DNA methylation</span> analysis</h3> <ul> <li>Reduced representation bisulfite sequencing (RRBS)</li> <li>Whole genome bisulfite sequencing (WGBS)</li> <li>Targeted methylation</li> <li>MeDIP-seq/hMeDIP-seq</li> <li>Infinium MethylationEPIC array </li> </ul> <p></p> <p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/dna-methylation-profiling-services">Learn more</a></p> </div> </div> <div class="small-12 medium-4 large-4 columns text-left"> <div class="panel" style="border-color: #b11e33;"> <h3><span class="diacol"><g class="gr_ gr_44 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace" id="44" data-gr-id="44">RNA-seq</g></span> analysis</h3> <ul> <li><span style="display: inline !important; float: none; background-color: #f8f8f8; color: #333333; font-family: Helvetica,Arial,sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;">Gene expression profiling</span></li> <li>mRNA<span style="display: inline !important; float: none; background-color: #f8f8f8; color: #333333; font-family: Helvetica,Arial,sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;"> analysis</span></li> <li>Small non-coding RNA analysis</li> <li><b></b>Whole transcriptome analysis<br /><br /><br /><br /><br /></li> </ul> <p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/rna-seq-category">Learn more</a></p> </div> </div> </div> <h2 style="text-align: center;"><a class="details radius small button" href="https://www.diagenode.com/en/documents/services-flyer">DOWNLOAD OUR FLYER</a></h2> <h2>Why Diagenode</h2> <ul> <li><strong>Expertise and trust</strong>: Recognized epigenetics leader, official partner of <a href="http://www.blueprint-epigenome.eu/"><g class="gr_ gr_45 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace" id="45" data-gr-id="45">BLUEPRINT</g></a>, <a href="http://ihec-epigenomes.org/">IHEC</a> <g class="gr_ gr_46 gr-alert gr_gramm gr_inline_cards gr_disable_anim_appear Punctuation only-ins replaceWithoutSep" id="46" data-gr-id="46">and</g> <a href="https://www.faang.org/">FAANG</a></li> <li><strong>Innovative technology</strong>: Utilization of the signature Bioruptor<sup>®</sup> sonication device for optimal chromatin and DNA shearing and the IP-Star<sup>®</sup> Automation device give reproducible and reliable optimization and results</li> <li><strong>Quality</strong>: Multiple QC steps in all workflows and validated antibodies plus reagents deliver superior data</li> <li><strong>Flexibility</strong>: Extensive range of sample species and sample origins</li> <li><strong>Experience</strong> in epigenomics profiling for a wide range of applications and fields of interest</li> </ul> <div class="extra-spaced"> <ul class="small-block-grid-2 medium-block-grid-3 large-block-grid-3"> <li> <div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">HUMAN</span><center><img width="260" height="259" alt="services chip-seq - human" src="https://www.diagenode.com/img/categories/services/services-humans.png" caption="false" /></center></div> </li> <li> <div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">ANIMALS</span><center><img width="260" height="259" alt="services chip-seq - animals" src="https://www.diagenode.com/img/categories/services/services-animals.png" caption="false" /></center></div> </li> <li> <div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">PLANTS</span><center><img width="260" height="259" alt="services methylation-plant" src="https://www.diagenode.com/img/categories/services/services-plants.png" caption="false" /></center></div> </li> </ul> </div> <h2>12 years of expertise and trust in epigenetics</h2> <ul> <li><strong>End-to-end</strong> epigenetic service</li> <li><strong>Collaborative</strong> and customized project design</li> <li>Dedicated <strong>in-house expert</strong> for your project</li> <li><strong>Integrative</strong> data analysis</li> <li>Presentation-<strong>quality data</strong> and graphs</li> </ul> <center><iframe width="560" height="315" allowfullscreen="allowfullscreen" allow="autoplay; encrypted-media" frameborder="0" src="https://www.youtube.com/embed/nFjNye25m4E"></iframe></center>', 'no_promo' => true, 'in_menu' => false, 'online' => true, 'tabular' => false, 'hide' => false, 'all_format' => false, 'is_antibody' => false, 'slug' => 'Services', 'cookies_tag_id' => '3', 'meta_keywords' => 'Epigenetic services,ChIP-seq,RRBS, WGBS', 'meta_description' => 'Diagenode offers expert epigenomics services that you can trust for chromatin, DNA, and RNA analysis.', 'meta_title' => 'Epigenomics Profiling Services | Diagenode', 'modified' => '2020-12-21 05:45:06', 'created' => '2016-08-30 16:40:51', 'ProductsCategory' => array( [maximum depth reached] ), 'CookiesTag' => array( [maximum depth reached] ) ) ), 'Document' => array( (int) 0 => array( 'id' => '1052', 'name' => 'Epigenomics Profiling Services', 'description' => '<ul> <li>Chromatin analysis</li> <li>DNA methylation services</li> <li>RNA-seq analysis</li> </ul>', 'image_id' => null, 'type' => 'Flyer', 'url' => 'files/flyers/epigenomics_profiling_services_flyer.pdf', 'slug' => 'services-flyer', 'meta_keywords' => '', 'meta_description' => '', 'modified' => '2020-04-23 16:22:55', 'created' => '2019-06-13 11:36:20', 'ProductsDocument' => array( [maximum depth reached] ) ) ), 'Feature' => array(), 'Image' => array(), 'Promotion' => array(), 'Protocol' => array(), 'Publication' => array( (int) 0 => array( 'id' => '4927', 'name' => 'Inflammatory stress-mediated chromatin changes underlie dysfunction in endothelial cells', 'authors' => 'Liu H. et al.', 'description' => '<p><span>Inflammatory stresses underlie endothelial dysfunction and contribute to the development of chronic cardiovascular disorders such as atherosclerosis and vascular fibrosis. The initial transcriptional response of endothelial cells to pro-inflammatory cytokines such as TNF-alpha is well established. However, very few studies uncover the effects of inflammatory stresses on chromatin architecture. We used integrative analysis of ATAC-seq and RNA-seq data to investigate chromatin alterations in human endothelial cells in response to TNF-alpha and febrile-range heat stress exposure. Multi-omics data analysis suggests a correlation between the transcription of stress-related genes and endothelial dysfunction drivers with chromatin regions exhibiting differential accessibility. Moreover, microscopy identified the dynamics in the nuclear organization, specifically, the changes in a subset of heterochromatic nucleoli-associated chromatin domains, the centromeres. Upon inflammatory stress exposure, the centromeres decreased association with nucleoli in a p38-dependent manner and increased the number of transcripts from pericentromeric regions. Overall, we provide two lines of evidence that suggest chromatin alterations in vascular endothelial cells during inflammatory stresses.</span></p>', 'date' => '2023-10-16', 'pmid' => 'https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614786/', 'doi' => '10.1101/2023.10.11.561959', 'modified' => '2024-03-27 15:15:21', 'created' => '2024-03-27 15:15:21', 'ProductsPublication' => array( [maximum depth reached] ) ), (int) 1 => array( 'id' => '4097', 'name' => ' Answer ALS: A Large-Scale Resource for Sporadic and Familial ALS Combining Clinical Data with Multi-Omics Data from Induced Pluripotent Cell Lines', 'authors' => 'Jeffrey Rothstein, James Berry, Clive Svendsen, Leslie Thompson, Steven Finkbeiner, Jennifer Van Eyk, Ernest Fraenkel, Merit Cudkowicz, Nicholas Maragakis, Dhruv Sareen, Raquel Norel, Victoria Dardov, Alyssa Coyne, Aaron Frank, Andrea Matlock', 'description' => '<p><span>Answer ALS is a comprehensive multi-omics approach to ALS to ascertain, at a population level, the various clinical-molecular- biochemical subtypes of sporadic ALS. This national program enrolled 1046 ALS and ALS/FTD patients along with a cohort of 100 matched control patients followed longitudinally over at least one year. A smartphone-based app was employed to collect deep clinical data including fine motor activity, speech, breathing and linguistics/cognition. Analytics of the speech patterns revealed a strong correlation between clinical progression indices and speech. In parallel, blood-derived iPS motor neurons were generated from each patient and the cells underwent multi-omics analytics including whole genome sequencing, RNA transcriptomics, ATAC-Seq and proteome along with quality assurance standards. HIPPA compliant cloud data bases were employed to store all data. There are more than 6 billion clinical and molecular data points per patient generated in the program. The program was designed, and patient consented, to be open access to all clinical, biological and molecular data as well as public release of all generated iPS cell lines. A web portal is available to academics as well as commercial researchers. The ultimate intent of this data is for the generation of Integrated clinical and biological signatures using bioinformatics, statistics and computational biology to establish patterns that may lead to a better understanding of the underlying mechanisms of disease including subgroup identification. Overall, this community based clinical and science program provides for the identification of distinct reliably identifiable subgroups among the sporadic and familial patients and the great utility in iPS based approaches to disease pathophysiology and therapy discovery. Although the data is ALS centric, given the large number of both ALS and control data sets, it would also be enormously useful to others studying frontotemporal dementia, Alzheimer’s, Parkinson’s disease and others.</span></p>', 'date' => '2022-02-03', 'pmid' => 'https://pubmed.ncbi.nlm.nih.gov/35115730/', 'doi' => '10.1038/s41593-021-01006-0', 'modified' => '2022-02-09 16:40:32', 'created' => '2021-04-07 10:26:36', 'ProductsPublication' => array( [maximum depth reached] ) ) ), 'Testimonial' => array(), 'Area' => array(), 'SafetySheet' => array() ) $country = 'US' $countries_allowed = array( (int) 0 => 'CA', (int) 1 => 'US', (int) 2 => 'IE', (int) 3 => 'GB', (int) 4 => 'DK', (int) 5 => 'NO', (int) 6 => 'SE', (int) 7 => 'FI', (int) 8 => 'NL', (int) 9 => 'BE', (int) 10 => 'LU', (int) 11 => 'FR', (int) 12 => 'DE', (int) 13 => 'CH', (int) 14 => 'AT', (int) 15 => 'ES', (int) 16 => 'IT', (int) 17 => 'PT' ) $outsource = false $other_formats = array() $edit = '' $testimonials = '' $featured_testimonials = '' $related_products = '<li> <div class="row"> <div class="small-12 columns"> <a href="/jp/p/data-mining-service"><img src="https://www.diagenode.com/img/product/data-mining.jpg" alt="Bioinformatics Data Mining Service" class="th"/></a> </div> <div class="small-12 columns"> <div class="small-6 columns" style="padding-left:0px;padding-right:0px;margin-top:-6px;margin-left:-1px"> <span class="success label" style="">G02100000</span> </div> <div class="small-6 columns text-right" style="padding-left:0px;padding-right:0px;margin-top:-6px"> <!--a href="#" style="color:#B21329"><i class="fa fa-info-circle"></i></a--> <!-- BEGIN: QUOTE MODAL --><div id="quoteModal-3022" class="reveal-modal small" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>データマイニングサービス</strong>. 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style="padding-left:0px;padding-right:0px;margin-top:-6px;margin-left:-1px"> <span class="success label" style="">G02010000</span> </div> <div class="small-6 columns text-right" style="padding-left:0px;padding-right:0px;margin-top:-6px"> <!--a href="#" style="color:#B21329"><i class="fa fa-info-circle"></i></a--> <!-- BEGIN: QUOTE MODAL --><div id="quoteModal-2681" class="reveal-modal small" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>our epigenomics services</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p> </div> </div> <form action="/jp/quotes/quote?id=2681" id="Quote-2681" class="quote" method="post" accept-charset="utf-8"><div style="display:none;"><input type="hidden" name="_method" value="POST"/></div><input type="hidden" name="data[Quote][product_id]" value="2681" id="QuoteProductId"/><input type="hidden" name="data[Quote][formLoaded6tY4bPYk]" value="Y3hVSnQrR296K1g0SjNhSWFwUTBqUT09" id="QuoteFormLoaded6tY4bPYk"/><input type="hidden" name="data[Quote][product_rfq_tag]" value="service-chip-seq" id="QuoteProductRfqTag"/><input type="hidden" name="data[Quote][source_quote]" value="modal quote" id="QuoteSourceQuote"/> <div class="row collapse"> <h2>Service Information</h2> </div> <div class="small-12 large-12 columns"> <h4>Which services are you interested in?</h4> </div> <div class="small-12 large-12 columns"> <input type="hidden" name="data[Quote][epigenomics_service]" value="" id="QuoteEpigenomicsService"/> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="ChIP-seq" id="QuoteEpigenomicsServiceChIPSeq" /><label for="QuoteEpigenomicsServiceChIPSeq">ChIP-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="ATAC-seq" id="QuoteEpigenomicsServiceATACSeq" /><label for="QuoteEpigenomicsServiceATACSeq">ATAC-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="RRBS" id="QuoteEpigenomicsServiceRRBS" /><label for="QuoteEpigenomicsServiceRRBS">RRBS</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="WGBS" id="QuoteEpigenomicsServiceWGBS" /><label for="QuoteEpigenomicsServiceWGBS">WGBS</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="MeDIP-seq" id="QuoteEpigenomicsServiceMeDIPSeq" /><label for="QuoteEpigenomicsServiceMeDIPSeq">MeDIP-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Targeted DNA methylation analysis" id="QuoteEpigenomicsServiceTargetedDNAMethylationAnalysis" /><label for="QuoteEpigenomicsServiceTargetedDNAMethylationAnalysis">Targeted DNA methylation analysis</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Infinium MethylationEPIC Array v2" id="QuoteEpigenomicsServiceInfiniumMethylationEPICArrayV2" /><label for="QuoteEpigenomicsServiceInfiniumMethylationEPICArrayV2">Infinium MethylationEPIC Array v2</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Infinium Mouse Methylation Array" id="QuoteEpigenomicsServiceInfiniumMouseMethylationArray" /><label for="QuoteEpigenomicsServiceInfiniumMouseMethylationArray">Infinium Mouse Methylation Array</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="RNA-seq" id="QuoteEpigenomicsServiceRNASeq" /><label for="QuoteEpigenomicsServiceRNASeq">RNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Bioinformatics" id="QuoteEpigenomicsServiceBioinformatics" /><label for="QuoteEpigenomicsServiceBioinformatics">Bioinformatics</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Data mining" id="QuoteEpigenomicsServiceDataMining" /><label for="QuoteEpigenomicsServiceDataMining">Data mining</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Human Methylome" id="QuoteEpigenomicsServiceHumanMethylome" /><label for="QuoteEpigenomicsServiceHumanMethylome">Human Methylome</label></div> </div> <div class="row collapse"> <div class="small-12 medium-12 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text-right" style="padding-left:0px;padding-right:0px;margin-top:-6px"> <!--a href="#" style="color:#B21329"><i class="fa fa-info-circle"></i></a--> <!-- BEGIN: QUOTE MODAL --><div id="quoteModal-2903" class="reveal-modal small" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>RNA-seq 受託サービス</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p> </div> </div> <form action="/jp/quotes/quote?id=2903" id="Quote-2903" class="quote" method="post" accept-charset="utf-8"><div style="display:none;"><input type="hidden" name="_method" value="POST"/></div><input type="hidden" name="data[Quote][product_id]" value="2903" id="QuoteProductId"/><input type="hidden" name="data[Quote][formLoaded6tY4bPYk]" value="Y3hVSnQrR296K1g0SjNhSWFwUTBqUT09" id="QuoteFormLoaded6tY4bPYk"/><input type="hidden" name="data[Quote][product_rfq_tag]" value="rna-seq-services" id="QuoteProductRfqTag"/><input type="hidden" name="data[Quote][source_quote]" value="modal quote" id="QuoteSourceQuote"/> <div class="row collapse"> <h2>Your project</h2> </div> <div class="small-12 large-12 columns"> <h4>Which services are you interested in?</h4> </div> <div class="small-12 large-12 columns"> <input type="hidden" name="data[Quote][rna_seq_service]" value="" id="QuoteRnaSeqService"/> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="High-throughput 3mRNA-seq" id="QuoteRnaSeqServiceHighThroughput3mRNASeq" /><label for="QuoteRnaSeqServiceHighThroughput3mRNASeq">High-throughput 3mRNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="mRNA-seq" id="QuoteRnaSeqServiceMRNASeq" /><label for="QuoteRnaSeqServiceMRNASeq">mRNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Small RNA-seq" id="QuoteRnaSeqServiceSmallRNASeq" /><label for="QuoteRnaSeqServiceSmallRNASeq">Small RNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Total RNA-seq" id="QuoteRnaSeqServiceTotalRNASeq" /><label for="QuoteRnaSeqServiceTotalRNASeq">Total RNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Bioinformatics" id="QuoteRnaSeqServiceBioinformatics" /><label for="QuoteRnaSeqServiceBioinformatics">Bioinformatics</label></div> </div> <div class="row collapse"> <div class="small-12 medium-12 large-3 columns"> <span class="prefix">Sample species</span> </div> <div class="small-12 medium-12 large-9 columns"> <input name="data[Quote][sample_species]" maxlength="510" type="text" id="QuoteSampleSpecies"/> </div> </div> <div class="row collapse"> <div class="small-12 medium-12 large-6 columns"> <span class="prefix">Total number of samples (including replicates)</span> </div> <div class="small-12 medium-12 large-6 columns"> <input name="data[Quote][number_samples]" maxlength="255" type="text" id="QuoteNumberSamples"/> </div> </div> <div class="row collapse"> <h2>Contact Information</h2> <div class="small-3 large-2 columns"> <span class="prefix">First name <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][first_name]" placeholder="john" maxlength="255" type="text" id="QuoteFirstName" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Last name <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][last_name]" placeholder="doe" maxlength="255" type="text" id="QuoteLastName" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Company <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][company]" placeholder="Organisation / Institute" maxlength="255" type="text" id="QuoteCompany" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Phone number</span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][phone_number]" placeholder="+1 862 209-4680" maxlength="255" type="text" id="QuotePhoneNumber"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">City</span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][city]" placeholder="Denville" maxlength="255" type="text" id="QuoteCity"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Country <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <select name="data[Quote][country]" required="required" class="triggers" id="country_selector_quote-2903"> <option value="">-- select a country --</option> <option value="AF">Afghanistan</option> <option value="AX">Åland Islands</option> <option value="AL">Albania</option> <option value="DZ">Algeria</option> <option value="AS">American Samoa</option> <option value="AD">Andorra</option> <option 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value="GE">Georgia</option> <option value="DE">Germany</option> <option value="GH">Ghana</option> <option value="GI">Gibraltar</option> <option value="GR">Greece</option> <option value="GL">Greenland</option> <option value="GD">Grenada</option> <option value="GP">Guadeloupe</option> <option value="GU">Guam</option> <option value="GT">Guatemala</option> <option value="GG">Guernsey</option> <option value="GN">Guinea</option> <option value="GW">Guinea-Bissau</option> <option value="GY">Guyana</option> <option value="HT">Haiti</option> <option value="HM">Heard Island and McDonald Islands</option> <option value="VA">Holy See (Vatican City State)</option> <option value="HN">Honduras</option> <option value="HK">Hong Kong</option> <option value="HU">Hungary</option> <option value="IS">Iceland</option> <option value="IN">India</option> <option value="ID">Indonesia</option> <option value="IR">Iran, Islamic Republic of</option> <option value="IQ">Iraq</option> <option value="IE">Ireland</option> 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value="MG">Madagascar</option> <option value="MW">Malawi</option> <option value="MY">Malaysia</option> <option value="MV">Maldives</option> <option value="ML">Mali</option> <option value="MT">Malta</option> <option value="MH">Marshall Islands</option> <option value="MQ">Martinique</option> <option value="MR">Mauritania</option> <option value="MU">Mauritius</option> <option value="YT">Mayotte</option> <option value="MX">Mexico</option> <option value="FM">Micronesia, Federated States of</option> <option value="MD">Moldova</option> <option value="MC">Monaco</option> <option value="MN">Mongolia</option> <option value="ME">Montenegro</option> <option value="MS">Montserrat</option> <option value="MA">Morocco</option> <option value="MZ">Mozambique</option> <option value="MM">Myanmar</option> <option value="NA">Namibia</option> <option value="NR">Nauru</option> <option value="NP">Nepal</option> <option value="NL">Netherlands</option> <option value="NC">New Caledonia</option> <option 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Although the data is ALS centric, given the large number of both ALS and control data sets, it would also be enormously useful to others studying frontotemporal dementia, Alzheimer’s, Parkinson’s disease and others.</span></p>', 'date' => '2022-02-03', 'pmid' => 'https://pubmed.ncbi.nlm.nih.gov/35115730/', 'doi' => '10.1038/s41593-021-01006-0', 'modified' => '2022-02-09 16:40:32', 'created' => '2021-04-07 10:26:36', 'ProductsPublication' => array( 'id' => '5123', 'product_id' => '2991', 'publication_id' => '4097' ) ) $externalLink = ' <a href="https://pubmed.ncbi.nlm.nih.gov/35115730/" target="_blank"><i class="fa fa-external-link"></i></a>'include - APP/View/Products/view.ctp, line 755 View::_evaluate() - CORE/Cake/View/View.php, line 971 View::_render() - CORE/Cake/View/View.php, line 933 View::render() - CORE/Cake/View/View.php, line 473 Controller::render() - CORE/Cake/Controller/Controller.php, line 963 ProductsController::slug() - APP/Controller/ProductsController.php, line 1052 ReflectionMethod::invokeArgs() - [internal], line ?? 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Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved. </span></span></span></p> <h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Pathway analysis</i><span style="font-weight: 400;">: </span></span></span></span></h4> <p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented. </span></span></span></span></p> <h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Visualization of specific genomic regions:</i><span style="font-weight: 400;"> </span></span></span></span></span></h4> <p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images (human, mouse, rat). </span></span></span></span></span></p> <h2>Additional information</h2> <p><span style="font-weight: 400;">Generated files will be available for download during 1 month and stored for an additional period of 3 months on Diagenode’s servers. Additional long-term storage of data is available upon request. Original samples are stored at Diagenode during 12 months after project completion, but will be discarded once this time is exceeded. Return shipment of samples is available upon request. </span></p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>', 'label3' => '', 'info3' => '<p></p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>', 'format' => '', 'catalog_number' => 'G02060000', 'old_catalog_number' => '', 'sf_code' => '', 'type' => 'ACC', 'search_order' => '', 'price_EUR' => '/', 'price_USD' => '/', 'price_GBP' => '/', 'price_JPY' => '42800', 'price_CNY' => '/', 'price_AUD' => '/', 'country' => 'ALL', 'except_countries' => 'None', 'quote' => true, 'in_stock' => false, 'featured' => true, 'no_promo' => true, 'online' => true, 'master' => true, 'last_datasheet_update' => '', 'slug' => 'atac-seq-service', 'meta_title' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'meta_keywords' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'meta_description' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'modified' => '2024-01-10 18:05:12', 'created' => '2018-09-06 10:53:39', 'locale' => 'jpn' ), 'Antibody' => array( 'host' => '*****', 'id' => null, 'name' => null, 'description' => null, 'clonality' => null, 'isotype' => null, 'lot' => null, 'concentration' => null, 'reactivity' => null, 'type' => null, 'purity' => null, 'classification' => null, 'application_table' => null, 'storage_conditions' => null, 'storage_buffer' => null, 'precautions' => null, 'uniprot_acc' => null, 'slug' => null, 'meta_keywords' => null, 'meta_description' => null, 'modified' => null, 'created' => null, 'select_label' => null ), 'Slave' => array(), 'Group' => array(), 'Related' => array( (int) 0 => array( 'id' => '3022', 'antibody_id' => null, 'name' => 'Bioinformatics Data Mining Service', 'description' => '<h2 class="text-center"><span class="diacol">New!</span> <br />Data mining using machine learning (AI) for unique epigenetic data insights</h2> <center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center> <p></p> <div id="paper" style="text-align: center;"> <h4><a href="https://www.youtube.com/watch?v=KXjnSHz3Jk8">Watch the webinar to gain insights on how data mining can be applied for epigenetics applications</a></h4> </div> <center><iframe width="560" height="315" src="https://www.youtube.com/embed/KXjnSHz3Jk8" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen="allowfullscreen"></iframe></center> <p></p> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px; font-size: 22px;">WHITE PAPERS</span> <div id="portal" class="main-portal"> <div class="portal-inner"><nav class="portal-nav" style="text-align: left;"> <ul data-tab="" class="tips-menu"> <li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li> <li><a href="#panel2" class="tips portal button">Breast cancer</a></li> </ul> </nav></div> </div> <div class="tabs-content"> <div class="content active" id="panel1"> <h3 style="margin-top: 0;">Powerful new insights with epigenetic data mining.<br /> A study to distinguish smokers from non-smokers using just one droplet of blood</h3> <p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p> <a href="https://www.diagenode.com/en/pages/form-bioinfo" class="alert small button" target="_blank">Read more</a></div> <div class="content" id="panel2"> <h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3> <p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p> <p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p> <a href="https://www.diagenode.com/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div> </div> </blockquote> </div> </div> <p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p> <p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p> <p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p> <p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</p> <table class="extra-spaced"> <tbody> <tr> <td><strong>Epigenetic data</strong></td> <td><strong>Transcriptomic data</strong></td> </tr> <tr> <td> <p>DNA Methylation (RRBS, WGBS, EPIC arrays)</p> <p>ChIP-sequencing</p> <p>ATAC-seq</p> </td> <td> <p>mRNA-sequencing</p> <p>Small and long non coding RNA</p> <p>Single-cell RNA-sequencing</p> </td> </tr> </tbody> </table> <p></p> <p><strong>Biological Interpretation</strong></p> <p class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. In order to achieve this, we offer biological interpretation services and pathway mining analyses for your data.</p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'label1' => 'Data mining modules ', 'info1' => '<ol> <li><strong>Feasibility study</strong></li> </ol> <ul> <li>Assessment of data characteristics and <span></span>applicability of different machine learning (ML)</li> <li>Prototypic analyses:</li> <li>Initial feasibility report</li> </ul> <p></p> <ol start="2"> <li><strong>Data Mining</strong></li> </ol> <ul> <li>Machine learning on data</li> <li>Data evaluation and validation</li> <li>Report generation</li> </ul> <p> </p> <ol start="3"> <li><strong>Data Interpretation</strong></li> </ol> <ul> <li>Integration of background knowledge</li> <li>Functional interpretation / pathway mining</li> <li>Scientific reporting</li> </ul> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'label2' => 'Integration with wet lab services and bioinformatics', 'info2' => '<p>A clear advantage of <strong>Diagenode’s data mining services</strong> is the close connection with<span> </span>other service offerings like <strong>wet lab analysis services</strong> and <strong>bioinformatics services</strong>. 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Determining how proteins interact with DNA to regulate gene expression is essential to fully understand many biological processes such as cell differentiation, organ development, and disease progression. The experts from our Epigenomics Profiling Services can help you to design your ChIP-seq project, optimize the workflow for your specific sample type/target, and provide you with high quality ChIP-seq data.</p> <p>We use in house optimized reagents:</p> <ul> <li>Validated ChIP-seq Kits</li> <li>Validated ChIP-seq grade antibodies</li> </ul> <p>And in-house developed equipment:</p> <ul> <li><strong>Bioruptor </strong>– for efficient and reproducible chromatin shearing</li> </ul> <p>We have expertise with many different types of samples as well as with a broad range of chromatin marks and can provide you with quality data even on very low input samples. Our bioinformatic experts will closely work with you to provide you with standard or customized analysis and will generate comprehensive publication-ready figures.</p> <ul> <li>Collaborative and customized project design to meet your needs</li> <li>Dedicated in-house expert</li> <li>End-to-end or customized service including wet lab and bioinformatic services</li> </ul> <p class="text-center"><img alt="ChIP Sequencing Services" src="https://www.diagenode.com/img/categories/chip_seq/ChIP-seq-success-experiment-WEB.png" /></p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'label1' => 'ChIP-seq service description', 'info1' => '<p>In order to provide you with the highest quality data, our ChIP-seq service is composed of two major steps:</p> <ol> <li><strong>ChIP validation</strong> - during this step we optimize the ChIP conditions that depend on your sample type, target and amount of cells.</li> <li><strong>ChIP on sample of interest</strong> - once the best ChIP conditions are validated, the samples of interest can be processed.</li> </ol> <p></p> <p>ChIP-seq service includes:</p> <table style="width: 918px;"> <tbody> <tr style="height: 62px;"> <td style="width: 218px; height: 220px; background-color: #f9f9f9;" rowspan="3"><strong>1. ChIP validation</strong></td> <td style="width: 417px; height: 62px;"><strong>Chromatin Shearing validation</strong></td> <td style="width: 568px; height: 62px;"> <ul> <li>Testing 2 shearing times for each cell type/tissue type</li> </ul> </td> </tr> <tr style="height: 27px;"> <td style="width: 417px; height: 27px; background-color: white;"><strong>ChIP/Ab validation</strong></td> <td style="width: 417px; height: 27px; background-color: white;"> <ul> <li>Testing 2 Ab amounts and/or 2 Ab references per target of interest</li> <li>qPCR analysis if positive and negative control regions can be provided</li> <li>Library preparation on IPs and INPUTs material</li> <li>Illumina sequencing run : Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li> <li>Quality check, alignment to reference genome, identification of enriched regions (peak calling)</li> </ul> </td> </tr> <tr style="height: 131px;"> <td style="width: 417px; height: 131px;"><strong>Primers design and validation</strong></td> <td style="width: 568px; height: 131px;"> <ul> <li>Performed on gDNA based on the data obtained during the ChIP/Ab validation. Those primers will be used for further qPCR validation of the ChIP on the samples of interest</li> </ul> </td> </tr> <tr style="height: 38px;"> <td style="width: 218px; height: 38px; background-color: white;"></td> <td style="width: 218px; height: 38px;"></td> <td style="width: 218px; height: 38px;"></td> </tr> <tr style="height: 59px;"> <td style="width: 218px; height: 216px; background-color: #f9f9f9; text-align: center;" rowspan="3"><strong>2. ChIP on sample of interest</strong></td> <td style="width: 417px; height: 59px;"><strong>Chromatin IP</strong></td> <td style="width: 568px; height: 59px;"> <ul> <li>Chromatin shearing</li> <li>IPs</li> <li>qPCR analysis using primers that have been validated during the ChIP validation</li> </ul> </td> </tr> <tr style="height: 69px;"> <td style="width: 568px; height: 69px; background-color: white;"><strong>Library Preparation</strong></td> <td style="width: 568px; height: 69px; background-color: white;"> <ul> <li>Library preparation and purification on IPs and INPUTs material</li> </ul> </td> </tr> <tr style="height: 88px;"> <td style="width: 417px; height: 88px;"><strong>Sequencing</strong></td> <td style="width: 568px; height: 88px;"> <ul> <li>Illumina sequencing run: Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li> </ul> </td> </tr> </tbody> </table> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>', 'label2' => 'Bioinformatic analysis', 'info2' => '<h3>Bioinformatic analyses on samples of interest</h3> <table style="width: 972px;"> <tbody> <tr style="height: 107px; border-color: 1px;"> <td style="width: 137px; height: 107px; background-color: #f9f9f9; text-align: center;"><strong>Standard bioinformatics</strong></td> <td style="width: 358px; height: 107px;"> <p style="text-align: center;"></p> </td> <td style="width: 466px; height: 107px;"> <ul> <li>Quality check, alignment to reference genome, identification of enriched regions (peak calling)</li> </ul> </td> </tr> <tr style="height: 24px;"> <td style="width: 137px; height: 24px; background-color: white; text-align: center;"><strong></strong></td> <td style="width: 137px; height: 24px; background-color: #f9f9f9; text-align: center;"></td> <td style="width: 137px; height: 24px; background-color: #f9f9f9; text-align: center;"></td> </tr> <tr style="height: 41px;"> <td style="width: 137px; height: 170px; background-color: #f9f9f9; text-align: center;" rowspan="5"><strong>Advanced bioinformatics</strong></td> <td style="width: 466px; height: 41px; background-color: white;"> <p style="text-align: center;"><strong>Differential binding analysis</strong></p> </td> <td style="width: 466px; height: 41px; background-color: white;"> <ul> <li>Identification and annotation of differential binding sites between samples based on previously identified ChIP-seq peaks</li> </ul> </td> </tr> <tr style="height: 33px;"> <td style="width: 466px; height: 33px; background-color: white; text-align: center;"><strong>Annotation in genomic regions</strong></td> <td style="width: 466px; height: 33px; background-color: white;"> <ul> <li>Annotation of ChIP-seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions</li> </ul> </td> </tr> <tr style="height: 26px;"> <td style="width: 466px; height: 26px; background-color: white; text-align: center;"><strong>Gene ontology termes analysis</strong></td> <td style="width: 466px; height: 26px; background-color: white;"> <ul> <li>Enrichment analysis on gene sets. 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Collaborative and customized project design to meet your needs. Dedicated in-house expert.', 'modified' => '2024-02-29 13:30:50', 'created' => '2015-08-26 17:17:38', 'ProductsRelated' => array( [maximum depth reached] ), 'Image' => array([maximum depth reached]) ), (int) 2 => array( 'id' => '2903', 'antibody_id' => null, 'name' => 'Total RNA-seq Service', 'description' => '<div class="extra-spaced"> <p>Exploring the whole transcriptome allows to gain insight of potential transcriptional and regulatory network mechanisms. With <b>Total RNA-seq </b>services, we will sequence the whole transcriptome and record the complete set of RNA transcripts, including mRNAs and long non-coding RNAs, present in a biological sample under specific circumstances. This approach is optimal for finding biomarkers from known transcripts and discover new RNA features.</p> <p>Our Epigenomics Profiling Services assure a fully integrated service-workflow for generation of RNA-seq libraries, multiplexed sequencing and data analysis. Serviced library preparation can be performed with an optional rRNA depletion step to enable cost-effective sequencing of RNA samples.</p> </div> <h2>High discovery power with total RNA-seq</h2> <ul class="square"> <li>Detection of both coding and non-coding RNAs with optional rRNA depletion</li> <li>Recognition of long coding RNAs involved in chromatin remodeling and transcriptional/post-transcriptional regulation</li> <li>Investigation of the structure of genes, their splicing patterns and other post transcriptional modifications</li> <li>Suitable for a broad range of input amounts</li> <li>Compatible with FFPE samples</li> <li>Fast turnaround time (from 5 to 6 weeks)</li> </ul> <p><span><i class="fa fa-arrow-circle-right"></i> </span><a href="https://www.diagenode.com/en/categories/rna-seq-category">See our other RNA-seq Profiling Services</a></p>', 'label1' => 'Sample Requirements', 'info1' => '<div class="extra-spaced"> <ul> <li><strong>Project size</strong>: minimum of 24 samples</li> <li><strong>Sample type</strong>: total isolated RNA</li> <li><strong>Required quantities</strong>: minimum 5 ng of total RNA (Human, Mouse, Rat) or 100 ng (Plant)</li> <li><strong>Shipment conditions</strong>: shipped in 1.5 mL or 0.5 mL tubes on dry ice</li> </ul> </div>', 'label2' => 'Services Workflow', 'info2' => '<center><img alt="Total RNA-seq Service" src="https://www.diagenode.com/img/product/services/ToatlRNA-seq_Workflow.png" /></center> <div class="extra-spaced"> <h3 class="green">What our service includes</h3> <ol> <li><strong>RNA quality control</strong></li> <ul> <li>Determination of RIN value (RNA integration number)</li> <li>Measurement of RNA concentration</li> </ul> <li><strong>Library preparation</strong></li> <ul> <li>Optional rRNA depletion</li> <li>Stranded library construction</li> <li>Quality control of libraries prior to sequencing</li> </ul> <li><strong>Sequencing on Illumina platforms</strong></li> <ul> <li>50 million raw reads per sample</li> </ul> <li><strong>Data analysis</strong> (optional for additional fee)</li> <ul> <li>Standard bioinformatic analysis</li> <li>Advanced bioinformatic analysis</li> <li>Data delivery of raw data and all generated files through fast and secure file transfer or hard drive upon request</li> </ul> </ol> </div>', 'label3' => 'Bioinformatics Analysis', 'info3' => '<table style="padding: 40px;"> <tbody> <tr> <td> <h4 class="text-center"><strong>Standard bioinformatic analysis</strong><br /> (optional for additional fee)</h4> </td> <td> <h4 class="text-center"><strong>Advanced bioinformatic analysis</strong><br /> (optional for additional fee)</h4> </td> </tr> <tr> <td style="vertical-align: top; padding-left: 20px;"> <ul> <li>Demultiplexing, read quality control, trimming and filtering</li> <li>Alignment to reference genome</li> <li>Quantification of coding and non-coding RNA biotypes with specialized quantification tool MGCount (<a href="https://doi.org/10.1186/s12859-021-04544-3">software developed by Diagenode</a>)</li> </ul> <br /> <p><em>Provided files:</em></p> <ul> <li>Report with sequencing statistics</li> <li>Raw data in FASTQ format</li> <li>FastQC report</li> <li>Alignment in BAM format</li> <li>Un-normalized read counts</li> </ul> </td> <td style="vertical-align: top;"> <ul> <li>Differential expression analysis</li> <li>Gene ontology terms analysis</li> <li>Pathway analysis</li> <li>Alternative splicing analysis</li> <li>Novel transcript identification</li> </ul> </td> </tr> </tbody> </table> <p></p>', 'format' => 'Custom', 'catalog_number' => 'G02030000', 'old_catalog_number' => '', 'sf_code' => '', 'type' => 'ACC', 'search_order' => '01-Accessory', 'price_EUR' => 'on request', 'price_USD' => 'on request', 'price_GBP' => 'on request', 'price_JPY' => '42800', 'price_CNY' => 'on request', 'price_AUD' => 'on request', 'country' => 'ALL', 'except_countries' => 'None', 'quote' => true, 'in_stock' => false, 'featured' => true, 'no_promo' => true, 'online' => true, 'master' => true, 'last_datasheet_update' => '', 'slug' => 'rna-seq-services', 'meta_title' => 'Total RNA-seq Service - Whole Transcriptome Analysis | Diagenode', 'meta_keywords' => '', 'meta_description' => 'Total RNA-seq examines the entire transcriptome in an unbiased fashion. The method captures both coding and non-coding RNA transcripts and quantifies gene expression heterogeneity', 'modified' => '2022-03-04 15:26:01', 'created' => '2017-07-26 15:01:26', 'ProductsRelated' => array( [maximum depth reached] ), 'Image' => array([maximum depth reached]) ) ), 'Application' => array(), 'Category' => array( (int) 0 => array( 'id' => '72', 'position' => '2', 'parent_id' => '121', 'name' => 'Chromatin Profiling Services', 'description' => '<div class="row"> <div class="small-12 medium-12 large-12 columns"><center></center></div> </div> <div class="row"> <div class="small-12 medium-4 large-4 columns"> <div class="panel"><center><img src="http://www.diagenode.com/img/categories/services/chip-workflow.png" alt="Chromatin-Immunoprecipitation-Diagenode" /></center> <p>Chromatin consists of DNA, histones and non-histone proteins. Understanding the roles of histones and transcription factors is critical in understanding the regulation of gene expression.</p> <p>Using ChIP-seq analysis, it is possible to profile histone modifications and transcription factor binding genome-wide to elucidate control of gene expression in disease or in response to a drug treatment. Diagenode’s Epigenomic Profiling Services offer a wide variety of chromatin analysis options through ChIP-seq and ATAC-seq.</p> </div> <center><img src="https://www.diagenode.com/img/logo-scientist-registered-supplier.png" /></center></div> <div class="small-12 medium-8 large-8 columns"><center><img src="http://www.diagenode.com/img/applications/histone-marks-helice.png" alt="Histone-Antibodies-Diagenode" /></center><br href="../p/service-chip-seq" /> <h3><a href="../p/atac-seq-service">ATAC-seq: open chromatin regions</a></h3> <p>Study genome-wide chromatin accessibility. Identify open chromatin sites and active regulatory elements such as promoter, enhancers, and insulators.</p> <ul> <ul> <li>Nucleosome positioning</li> </ul> </ul> <h3><a href="../p/service-chip-seq">ChIP-seq histone modifications</a></h3> <p>Post-translational modification of histones is implicated in the regulation of gene expression, necessitating the study of regulatory elements and their interacting proteins like active promoter and enhancer analysis. Profile genome-wide histone modifications by ChIP-seq analysis to understand transcriptional regulation</p> <ul> <li><strong>Active promoter profiling</strong>: H3K4me3 enrichment</li> <li><strong>Inactive promoter profiling</strong>: H3K27me3 enrichment</li> <li><strong>Enhancer profiling</strong>: H3K4me1 and H3K27ac enrichment in regulatory regions</li> <li><strong>Active gene body</strong>: H3K36me3</li> </ul> <h3><a href="../p/service-chip-seq">ChIP-seq Transcription Factors</a></h3> <p>Explore the effects of transcription factor binding through ChIP-seq analysis of a multitude of TFs including:</p> <ul> <li>CTCF: transcriptional repressor and insulator activity</li> <li>p300/CBP: histone acetyltransferase</li> <li>Pol II, p53, and more</li> <li>Epigenetic writers, readers, erasers</li> <li>Nuclear receptors</li> <li>Tumor suppressor genes</li> </ul> </div> </div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'no_promo' => true, 'in_menu' => true, 'online' => true, 'tabular' => true, 'hide' => false, 'all_format' => false, 'is_antibody' => false, 'slug' => 'chip-seq-service', 'cookies_tag_id' => '3', 'meta_keywords' => 'ChIP-seq services,Chromatin shearing, Immunoprecipitation,Library Preparation ', 'meta_description' => 'Diagenode Offers Expert and Fully Customizable ChIP-Seq Services for Chromatin Shearing, Immunoprecipitation Followed by Library Preparation and Sequencing including Bioinformatic analysis.', 'meta_title' => 'ChIP-Seq Analysis and ChIP-Seq Services | Diagenode', 'modified' => '2024-02-29 13:37:23', 'created' => '2015-08-03 16:11:06', 'ProductsCategory' => array( [maximum depth reached] ), 'CookiesTag' => array( [maximum depth reached] ) ), (int) 1 => array( 'id' => '121', 'position' => '9', 'parent_id' => null, 'name' => 'Epigenomics Profiling Services', 'description' => '<div class="row"> <div class="small-12 medium-10 large-10 columns text-left"> <p>Our Epigenomics Profiling Services assure the sample preparation expertise and quality data that you seek. We provide epigenome-wide analyses for understanding epigenetic mechanisms, epigenetics-related drug discovery, transgenerational epigenetics studies, epigenetic biomarker identification (including epigenomic cancer biomarkers), and functional epigenomics. Diagenode offers expert epigenomics services that you can trust for chromatin, DNA, and RNA analysis. </p> </div> <div class="small-12 medium-2 large-2 columns text-left"><img src="https://www.diagenode.com/img/logo-scientist-registered-supplier.png" /></div> </div> <center><img alt="DNA-RNA-Chromatin-Diagenode" src="https://www.diagenode.com/img/categories/services/chromatin-dna-rna.png" /></center> <div class="row"> <div class="small-12 medium-4 large-4 columns text-left"> <div class="panel" style="border-color: #099f92;"> <h3><span class="green">Chromatin</span> analysis</h3> <ul> <li>ChIP-seq analysis Histone modification</li> <li>Promoter analysis</li> <li>Enhancer analysis</li> <li>ChIP-seq analysis Transcription factor </li> <li>(sc)ATAC-seq Chromatin accessibility</li> <li>ChIP-seq Cas9 off-target</li> <li>Customized NGS service</li> </ul> <p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/chip-seq-service">Learn more</a></p> </div> </div> <div class="small-12 medium-4 large-4 columns text-left"> <div class="panel" style="border-color: #474546;"> <h3><span class="darkgrey">DNA methylation</span> analysis</h3> <ul> <li>Reduced representation bisulfite sequencing (RRBS)</li> <li>Whole genome bisulfite sequencing (WGBS)</li> <li>Targeted methylation</li> <li>MeDIP-seq/hMeDIP-seq</li> <li>Infinium MethylationEPIC array </li> </ul> <p></p> <p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/dna-methylation-profiling-services">Learn more</a></p> </div> </div> <div class="small-12 medium-4 large-4 columns text-left"> <div class="panel" style="border-color: #b11e33;"> <h3><span class="diacol"><g class="gr_ gr_44 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace" id="44" data-gr-id="44">RNA-seq</g></span> analysis</h3> <ul> <li><span style="display: inline !important; float: none; background-color: #f8f8f8; color: #333333; font-family: Helvetica,Arial,sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;">Gene expression profiling</span></li> <li>mRNA<span style="display: inline !important; float: none; background-color: #f8f8f8; color: #333333; font-family: Helvetica,Arial,sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;"> analysis</span></li> <li>Small non-coding RNA analysis</li> <li><b></b>Whole transcriptome analysis<br /><br /><br /><br /><br /></li> </ul> <p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/rna-seq-category">Learn more</a></p> </div> </div> </div> <h2 style="text-align: center;"><a class="details radius small button" href="https://www.diagenode.com/en/documents/services-flyer">DOWNLOAD OUR FLYER</a></h2> <h2>Why Diagenode</h2> <ul> <li><strong>Expertise and trust</strong>: Recognized epigenetics leader, official partner of <a href="http://www.blueprint-epigenome.eu/"><g class="gr_ gr_45 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace" id="45" data-gr-id="45">BLUEPRINT</g></a>, <a href="http://ihec-epigenomes.org/">IHEC</a> <g class="gr_ gr_46 gr-alert gr_gramm gr_inline_cards gr_disable_anim_appear Punctuation only-ins replaceWithoutSep" id="46" data-gr-id="46">and</g> <a href="https://www.faang.org/">FAANG</a></li> <li><strong>Innovative technology</strong>: Utilization of the signature Bioruptor<sup>®</sup> sonication device for optimal chromatin and DNA shearing and the IP-Star<sup>®</sup> Automation device give reproducible and reliable optimization and results</li> <li><strong>Quality</strong>: Multiple QC steps in all workflows and validated antibodies plus reagents deliver superior data</li> <li><strong>Flexibility</strong>: Extensive range of sample species and sample origins</li> <li><strong>Experience</strong> in epigenomics profiling for a wide range of applications and fields of interest</li> </ul> <div class="extra-spaced"> <ul class="small-block-grid-2 medium-block-grid-3 large-block-grid-3"> <li> <div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">HUMAN</span><center><img width="260" height="259" alt="services chip-seq - human" src="https://www.diagenode.com/img/categories/services/services-humans.png" caption="false" /></center></div> </li> <li> <div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">ANIMALS</span><center><img width="260" height="259" alt="services chip-seq - animals" src="https://www.diagenode.com/img/categories/services/services-animals.png" caption="false" /></center></div> </li> <li> <div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">PLANTS</span><center><img width="260" height="259" alt="services methylation-plant" src="https://www.diagenode.com/img/categories/services/services-plants.png" caption="false" /></center></div> </li> </ul> </div> <h2>12 years of expertise and trust in epigenetics</h2> <ul> <li><strong>End-to-end</strong> epigenetic service</li> <li><strong>Collaborative</strong> and customized project design</li> <li>Dedicated <strong>in-house expert</strong> for your project</li> <li><strong>Integrative</strong> data analysis</li> <li>Presentation-<strong>quality data</strong> and graphs</li> </ul> <center><iframe width="560" height="315" allowfullscreen="allowfullscreen" allow="autoplay; encrypted-media" frameborder="0" src="https://www.youtube.com/embed/nFjNye25m4E"></iframe></center>', 'no_promo' => true, 'in_menu' => false, 'online' => true, 'tabular' => false, 'hide' => false, 'all_format' => false, 'is_antibody' => false, 'slug' => 'Services', 'cookies_tag_id' => '3', 'meta_keywords' => 'Epigenetic services,ChIP-seq,RRBS, WGBS', 'meta_description' => 'Diagenode offers expert epigenomics services that you can trust for chromatin, DNA, and RNA analysis.', 'meta_title' => 'Epigenomics Profiling Services | Diagenode', 'modified' => '2020-12-21 05:45:06', 'created' => '2016-08-30 16:40:51', 'ProductsCategory' => array( [maximum depth reached] ), 'CookiesTag' => array( [maximum depth reached] ) ) ), 'Document' => array( (int) 0 => array( 'id' => '1052', 'name' => 'Epigenomics Profiling Services', 'description' => '<ul> <li>Chromatin analysis</li> <li>DNA methylation services</li> <li>RNA-seq analysis</li> </ul>', 'image_id' => null, 'type' => 'Flyer', 'url' => 'files/flyers/epigenomics_profiling_services_flyer.pdf', 'slug' => 'services-flyer', 'meta_keywords' => '', 'meta_description' => '', 'modified' => '2020-04-23 16:22:55', 'created' => '2019-06-13 11:36:20', 'ProductsDocument' => array( [maximum depth reached] ) ) ), 'Feature' => array(), 'Image' => array(), 'Promotion' => array(), 'Protocol' => array(), 'Publication' => array( (int) 0 => array( 'id' => '4927', 'name' => 'Inflammatory stress-mediated chromatin changes underlie dysfunction in endothelial cells', 'authors' => 'Liu H. et al.', 'description' => '<p><span>Inflammatory stresses underlie endothelial dysfunction and contribute to the development of chronic cardiovascular disorders such as atherosclerosis and vascular fibrosis. The initial transcriptional response of endothelial cells to pro-inflammatory cytokines such as TNF-alpha is well established. However, very few studies uncover the effects of inflammatory stresses on chromatin architecture. We used integrative analysis of ATAC-seq and RNA-seq data to investigate chromatin alterations in human endothelial cells in response to TNF-alpha and febrile-range heat stress exposure. Multi-omics data analysis suggests a correlation between the transcription of stress-related genes and endothelial dysfunction drivers with chromatin regions exhibiting differential accessibility. Moreover, microscopy identified the dynamics in the nuclear organization, specifically, the changes in a subset of heterochromatic nucleoli-associated chromatin domains, the centromeres. Upon inflammatory stress exposure, the centromeres decreased association with nucleoli in a p38-dependent manner and increased the number of transcripts from pericentromeric regions. Overall, we provide two lines of evidence that suggest chromatin alterations in vascular endothelial cells during inflammatory stresses.</span></p>', 'date' => '2023-10-16', 'pmid' => 'https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614786/', 'doi' => '10.1101/2023.10.11.561959', 'modified' => '2024-03-27 15:15:21', 'created' => '2024-03-27 15:15:21', 'ProductsPublication' => array( [maximum depth reached] ) ), (int) 1 => array( 'id' => '4097', 'name' => ' Answer ALS: A Large-Scale Resource for Sporadic and Familial ALS Combining Clinical Data with Multi-Omics Data from Induced Pluripotent Cell Lines', 'authors' => 'Jeffrey Rothstein, James Berry, Clive Svendsen, Leslie Thompson, Steven Finkbeiner, Jennifer Van Eyk, Ernest Fraenkel, Merit Cudkowicz, Nicholas Maragakis, Dhruv Sareen, Raquel Norel, Victoria Dardov, Alyssa Coyne, Aaron Frank, Andrea Matlock', 'description' => '<p><span>Answer ALS is a comprehensive multi-omics approach to ALS to ascertain, at a population level, the various clinical-molecular- biochemical subtypes of sporadic ALS. This national program enrolled 1046 ALS and ALS/FTD patients along with a cohort of 100 matched control patients followed longitudinally over at least one year. A smartphone-based app was employed to collect deep clinical data including fine motor activity, speech, breathing and linguistics/cognition. Analytics of the speech patterns revealed a strong correlation between clinical progression indices and speech. In parallel, blood-derived iPS motor neurons were generated from each patient and the cells underwent multi-omics analytics including whole genome sequencing, RNA transcriptomics, ATAC-Seq and proteome along with quality assurance standards. HIPPA compliant cloud data bases were employed to store all data. There are more than 6 billion clinical and molecular data points per patient generated in the program. The program was designed, and patient consented, to be open access to all clinical, biological and molecular data as well as public release of all generated iPS cell lines. A web portal is available to academics as well as commercial researchers. The ultimate intent of this data is for the generation of Integrated clinical and biological signatures using bioinformatics, statistics and computational biology to establish patterns that may lead to a better understanding of the underlying mechanisms of disease including subgroup identification. Overall, this community based clinical and science program provides for the identification of distinct reliably identifiable subgroups among the sporadic and familial patients and the great utility in iPS based approaches to disease pathophysiology and therapy discovery. Although the data is ALS centric, given the large number of both ALS and control data sets, it would also be enormously useful to others studying frontotemporal dementia, Alzheimer’s, Parkinson’s disease and others.</span></p>', 'date' => '2022-02-03', 'pmid' => 'https://pubmed.ncbi.nlm.nih.gov/35115730/', 'doi' => '10.1038/s41593-021-01006-0', 'modified' => '2022-02-09 16:40:32', 'created' => '2021-04-07 10:26:36', 'ProductsPublication' => array( [maximum depth reached] ) ) ), 'Testimonial' => array(), 'Area' => array(), 'SafetySheet' => array() ) $country = 'US' $countries_allowed = array( (int) 0 => 'CA', (int) 1 => 'US', (int) 2 => 'IE', (int) 3 => 'GB', (int) 4 => 'DK', (int) 5 => 'NO', (int) 6 => 'SE', (int) 7 => 'FI', (int) 8 => 'NL', (int) 9 => 'BE', (int) 10 => 'LU', (int) 11 => 'FR', (int) 12 => 'DE', (int) 13 => 'CH', (int) 14 => 'AT', (int) 15 => 'ES', (int) 16 => 'IT', (int) 17 => 'PT' ) $outsource = false $other_formats = array() $edit = '' $testimonials = '' $featured_testimonials = '' $related_products = '<li> <div class="row"> <div class="small-12 columns"> <a href="/jp/p/data-mining-service"><img src="https://www.diagenode.com/img/product/data-mining.jpg" alt="Bioinformatics Data Mining Service" class="th"/></a> </div> <div class="small-12 columns"> <div class="small-6 columns" style="padding-left:0px;padding-right:0px;margin-top:-6px;margin-left:-1px"> <span class="success label" style="">G02100000</span> </div> <div class="small-6 columns text-right" style="padding-left:0px;padding-right:0px;margin-top:-6px"> <!--a href="#" style="color:#B21329"><i class="fa fa-info-circle"></i></a--> <!-- BEGIN: QUOTE MODAL --><div id="quoteModal-3022" class="reveal-modal small" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>データマイニングサービス</strong>. 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style="padding-left:0px;padding-right:0px;margin-top:-6px;margin-left:-1px"> <span class="success label" style="">G02010000</span> </div> <div class="small-6 columns text-right" style="padding-left:0px;padding-right:0px;margin-top:-6px"> <!--a href="#" style="color:#B21329"><i class="fa fa-info-circle"></i></a--> <!-- BEGIN: QUOTE MODAL --><div id="quoteModal-2681" class="reveal-modal small" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>our epigenomics services</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p> </div> </div> <form action="/jp/quotes/quote?id=2681" id="Quote-2681" class="quote" method="post" accept-charset="utf-8"><div style="display:none;"><input type="hidden" name="_method" value="POST"/></div><input type="hidden" name="data[Quote][product_id]" value="2681" id="QuoteProductId"/><input type="hidden" name="data[Quote][formLoaded6tY4bPYk]" value="Y3hVSnQrR296K1g0SjNhSWFwUTBqUT09" id="QuoteFormLoaded6tY4bPYk"/><input type="hidden" name="data[Quote][product_rfq_tag]" value="service-chip-seq" id="QuoteProductRfqTag"/><input type="hidden" name="data[Quote][source_quote]" value="modal quote" id="QuoteSourceQuote"/> <div class="row collapse"> <h2>Service Information</h2> </div> <div class="small-12 large-12 columns"> <h4>Which services are you interested in?</h4> </div> <div class="small-12 large-12 columns"> <input type="hidden" name="data[Quote][epigenomics_service]" value="" id="QuoteEpigenomicsService"/> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="ChIP-seq" id="QuoteEpigenomicsServiceChIPSeq" /><label for="QuoteEpigenomicsServiceChIPSeq">ChIP-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="ATAC-seq" id="QuoteEpigenomicsServiceATACSeq" /><label for="QuoteEpigenomicsServiceATACSeq">ATAC-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="RRBS" id="QuoteEpigenomicsServiceRRBS" /><label for="QuoteEpigenomicsServiceRRBS">RRBS</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="WGBS" id="QuoteEpigenomicsServiceWGBS" /><label for="QuoteEpigenomicsServiceWGBS">WGBS</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="MeDIP-seq" id="QuoteEpigenomicsServiceMeDIPSeq" /><label for="QuoteEpigenomicsServiceMeDIPSeq">MeDIP-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Targeted DNA methylation analysis" id="QuoteEpigenomicsServiceTargetedDNAMethylationAnalysis" /><label for="QuoteEpigenomicsServiceTargetedDNAMethylationAnalysis">Targeted DNA methylation analysis</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Infinium MethylationEPIC Array v2" id="QuoteEpigenomicsServiceInfiniumMethylationEPICArrayV2" /><label for="QuoteEpigenomicsServiceInfiniumMethylationEPICArrayV2">Infinium MethylationEPIC Array v2</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Infinium Mouse Methylation Array" id="QuoteEpigenomicsServiceInfiniumMouseMethylationArray" /><label for="QuoteEpigenomicsServiceInfiniumMouseMethylationArray">Infinium Mouse Methylation Array</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="RNA-seq" id="QuoteEpigenomicsServiceRNASeq" /><label for="QuoteEpigenomicsServiceRNASeq">RNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Bioinformatics" id="QuoteEpigenomicsServiceBioinformatics" /><label for="QuoteEpigenomicsServiceBioinformatics">Bioinformatics</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Data mining" id="QuoteEpigenomicsServiceDataMining" /><label for="QuoteEpigenomicsServiceDataMining">Data mining</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Human Methylome" id="QuoteEpigenomicsServiceHumanMethylome" /><label for="QuoteEpigenomicsServiceHumanMethylome">Human Methylome</label></div> </div> <div class="row collapse"> <div class="small-12 medium-12 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text-right" style="padding-left:0px;padding-right:0px;margin-top:-6px"> <!--a href="#" style="color:#B21329"><i class="fa fa-info-circle"></i></a--> <!-- BEGIN: QUOTE MODAL --><div id="quoteModal-2903" class="reveal-modal small" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>RNA-seq 受託サービス</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p> </div> </div> <form action="/jp/quotes/quote?id=2903" id="Quote-2903" class="quote" method="post" accept-charset="utf-8"><div style="display:none;"><input type="hidden" name="_method" value="POST"/></div><input type="hidden" name="data[Quote][product_id]" value="2903" id="QuoteProductId"/><input type="hidden" name="data[Quote][formLoaded6tY4bPYk]" value="Y3hVSnQrR296K1g0SjNhSWFwUTBqUT09" id="QuoteFormLoaded6tY4bPYk"/><input type="hidden" name="data[Quote][product_rfq_tag]" value="rna-seq-services" id="QuoteProductRfqTag"/><input type="hidden" name="data[Quote][source_quote]" value="modal quote" id="QuoteSourceQuote"/> <div class="row collapse"> <h2>Your project</h2> </div> <div class="small-12 large-12 columns"> <h4>Which services are you interested in?</h4> </div> <div class="small-12 large-12 columns"> <input type="hidden" name="data[Quote][rna_seq_service]" value="" id="QuoteRnaSeqService"/> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="High-throughput 3mRNA-seq" id="QuoteRnaSeqServiceHighThroughput3mRNASeq" /><label for="QuoteRnaSeqServiceHighThroughput3mRNASeq">High-throughput 3mRNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="mRNA-seq" id="QuoteRnaSeqServiceMRNASeq" /><label for="QuoteRnaSeqServiceMRNASeq">mRNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Small RNA-seq" id="QuoteRnaSeqServiceSmallRNASeq" /><label for="QuoteRnaSeqServiceSmallRNASeq">Small RNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Total RNA-seq" id="QuoteRnaSeqServiceTotalRNASeq" /><label for="QuoteRnaSeqServiceTotalRNASeq">Total RNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Bioinformatics" id="QuoteRnaSeqServiceBioinformatics" /><label for="QuoteRnaSeqServiceBioinformatics">Bioinformatics</label></div> </div> <div class="row collapse"> <div class="small-12 medium-12 large-3 columns"> <span class="prefix">Sample species</span> </div> <div class="small-12 medium-12 large-9 columns"> <input name="data[Quote][sample_species]" maxlength="510" type="text" id="QuoteSampleSpecies"/> </div> </div> <div class="row collapse"> <div class="small-12 medium-12 large-6 columns"> <span class="prefix">Total number of samples (including replicates)</span> </div> <div class="small-12 medium-12 large-6 columns"> <input name="data[Quote][number_samples]" maxlength="255" type="text" id="QuoteNumberSamples"/> </div> </div> <div class="row collapse"> <h2>Contact Information</h2> <div class="small-3 large-2 columns"> <span class="prefix">First name <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][first_name]" placeholder="john" maxlength="255" type="text" id="QuoteFirstName" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Last name <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][last_name]" placeholder="doe" maxlength="255" type="text" id="QuoteLastName" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Company <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][company]" placeholder="Organisation / Institute" maxlength="255" type="text" id="QuoteCompany" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Phone number</span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][phone_number]" placeholder="+1 862 209-4680" maxlength="255" type="text" id="QuotePhoneNumber"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">City</span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][city]" placeholder="Denville" maxlength="255" type="text" id="QuoteCity"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Country <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <select name="data[Quote][country]" required="required" class="triggers" id="country_selector_quote-2903"> <option value="">-- select a country --</option> <option value="AF">Afghanistan</option> <option value="AX">Åland Islands</option> <option value="AL">Albania</option> <option value="DZ">Algeria</option> <option value="AS">American Samoa</option> <option value="AD">Andorra</option> <option 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value="GE">Georgia</option> <option value="DE">Germany</option> <option value="GH">Ghana</option> <option value="GI">Gibraltar</option> <option value="GR">Greece</option> <option value="GL">Greenland</option> <option value="GD">Grenada</option> <option value="GP">Guadeloupe</option> <option value="GU">Guam</option> <option value="GT">Guatemala</option> <option value="GG">Guernsey</option> <option value="GN">Guinea</option> <option value="GW">Guinea-Bissau</option> <option value="GY">Guyana</option> <option value="HT">Haiti</option> <option value="HM">Heard Island and McDonald Islands</option> <option value="VA">Holy See (Vatican City State)</option> <option value="HN">Honduras</option> <option value="HK">Hong Kong</option> <option value="HU">Hungary</option> <option value="IS">Iceland</option> <option value="IN">India</option> <option value="ID">Indonesia</option> <option value="IR">Iran, Islamic Republic of</option> <option value="IQ">Iraq</option> <option value="IE">Ireland</option> 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value="MG">Madagascar</option> <option value="MW">Malawi</option> <option value="MY">Malaysia</option> <option value="MV">Maldives</option> <option value="ML">Mali</option> <option value="MT">Malta</option> <option value="MH">Marshall Islands</option> <option value="MQ">Martinique</option> <option value="MR">Mauritania</option> <option value="MU">Mauritius</option> <option value="YT">Mayotte</option> <option value="MX">Mexico</option> <option value="FM">Micronesia, Federated States of</option> <option value="MD">Moldova</option> <option value="MC">Monaco</option> <option value="MN">Mongolia</option> <option value="ME">Montenegro</option> <option value="MS">Montserrat</option> <option value="MA">Morocco</option> <option value="MZ">Mozambique</option> <option value="MM">Myanmar</option> <option value="NA">Namibia</option> <option value="NR">Nauru</option> <option value="NP">Nepal</option> <option value="NL">Netherlands</option> <option value="NC">New Caledonia</option> <option 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Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved. </span></span></span></p> <h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Pathway analysis</i><span style="font-weight: 400;">: </span></span></span></span></h4> <p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented. </span></span></span></span></p> <h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Visualization of specific genomic regions:</i><span style="font-weight: 400;"> </span></span></span></span></span></h4> <p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images (human, mouse, rat). </span></span></span></span></span></p> <h2>Additional information</h2> <p><span style="font-weight: 400;">Generated files will be available for download during 1 month and stored for an additional period of 3 months on Diagenode’s servers. Additional long-term storage of data is available upon request. Original samples are stored at Diagenode during 12 months after project completion, but will be discarded once this time is exceeded. Return shipment of samples is available upon request. </span></p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>', 'label3' => '', 'info3' => '<p></p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>', 'format' => '', 'catalog_number' => 'G02060000', 'old_catalog_number' => '', 'sf_code' => '', 'type' => 'ACC', 'search_order' => '', 'price_EUR' => '/', 'price_USD' => '/', 'price_GBP' => '/', 'price_JPY' => '42800', 'price_CNY' => '/', 'price_AUD' => '/', 'country' => 'ALL', 'except_countries' => 'None', 'quote' => true, 'in_stock' => false, 'featured' => true, 'no_promo' => true, 'online' => true, 'master' => true, 'last_datasheet_update' => '', 'slug' => 'atac-seq-service', 'meta_title' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'meta_keywords' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'meta_description' => 'ATAC-seq service (Assay for Transposase-Accessible Chromatin)', 'modified' => '2024-01-10 18:05:12', 'created' => '2018-09-06 10:53:39', 'locale' => 'jpn' ), 'Antibody' => array( 'host' => '*****', 'id' => null, 'name' => null, 'description' => null, 'clonality' => null, 'isotype' => null, 'lot' => null, 'concentration' => null, 'reactivity' => null, 'type' => null, 'purity' => null, 'classification' => null, 'application_table' => null, 'storage_conditions' => null, 'storage_buffer' => null, 'precautions' => null, 'uniprot_acc' => null, 'slug' => null, 'meta_keywords' => null, 'meta_description' => null, 'modified' => null, 'created' => null, 'select_label' => null ), 'Slave' => array(), 'Group' => array(), 'Related' => array( (int) 0 => array( 'id' => '3022', 'antibody_id' => null, 'name' => 'Bioinformatics Data Mining Service', 'description' => '<h2 class="text-center"><span class="diacol">New!</span> <br />Data mining using machine learning (AI) for unique epigenetic data insights</h2> <center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center> <p></p> <div id="paper" style="text-align: center;"> <h4><a href="https://www.youtube.com/watch?v=KXjnSHz3Jk8">Watch the webinar to gain insights on how data mining can be applied for epigenetics applications</a></h4> </div> <center><iframe width="560" height="315" src="https://www.youtube.com/embed/KXjnSHz3Jk8" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen="allowfullscreen"></iframe></center> <p></p> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px; font-size: 22px;">WHITE PAPERS</span> <div id="portal" class="main-portal"> <div class="portal-inner"><nav class="portal-nav" style="text-align: left;"> <ul data-tab="" class="tips-menu"> <li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li> <li><a href="#panel2" class="tips portal button">Breast cancer</a></li> </ul> </nav></div> </div> <div class="tabs-content"> <div class="content active" id="panel1"> <h3 style="margin-top: 0;">Powerful new insights with epigenetic data mining.<br /> A study to distinguish smokers from non-smokers using just one droplet of blood</h3> <p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p> <a href="https://www.diagenode.com/en/pages/form-bioinfo" class="alert small button" target="_blank">Read more</a></div> <div class="content" id="panel2"> <h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3> <p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p> <p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p> <a href="https://www.diagenode.com/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div> </div> </blockquote> </div> </div> <p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p> <p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p> <p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p> <p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</p> <table class="extra-spaced"> <tbody> <tr> <td><strong>Epigenetic data</strong></td> <td><strong>Transcriptomic data</strong></td> </tr> <tr> <td> <p>DNA Methylation (RRBS, WGBS, EPIC arrays)</p> <p>ChIP-sequencing</p> <p>ATAC-seq</p> </td> <td> <p>mRNA-sequencing</p> <p>Small and long non coding RNA</p> <p>Single-cell RNA-sequencing</p> </td> </tr> </tbody> </table> <p></p> <p><strong>Biological Interpretation</strong></p> <p class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. In order to achieve this, we offer biological interpretation services and pathway mining analyses for your data.</p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'label1' => 'Data mining modules ', 'info1' => '<ol> <li><strong>Feasibility study</strong></li> </ol> <ul> <li>Assessment of data characteristics and <span></span>applicability of different machine learning (ML)</li> <li>Prototypic analyses:</li> <li>Initial feasibility report</li> </ul> <p></p> <ol start="2"> <li><strong>Data Mining</strong></li> </ol> <ul> <li>Machine learning on data</li> <li>Data evaluation and validation</li> <li>Report generation</li> </ul> <p> </p> <ol start="3"> <li><strong>Data Interpretation</strong></li> </ol> <ul> <li>Integration of background knowledge</li> <li>Functional interpretation / pathway mining</li> <li>Scientific reporting</li> </ul> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'label2' => 'Integration with wet lab services and bioinformatics', 'info2' => '<p>A clear advantage of <strong>Diagenode’s data mining services</strong> is the close connection with<span> </span>other service offerings like <strong>wet lab analysis services</strong> and <strong>bioinformatics services</strong>. 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Determining how proteins interact with DNA to regulate gene expression is essential to fully understand many biological processes such as cell differentiation, organ development, and disease progression. The experts from our Epigenomics Profiling Services can help you to design your ChIP-seq project, optimize the workflow for your specific sample type/target, and provide you with high quality ChIP-seq data.</p> <p>We use in house optimized reagents:</p> <ul> <li>Validated ChIP-seq Kits</li> <li>Validated ChIP-seq grade antibodies</li> </ul> <p>And in-house developed equipment:</p> <ul> <li><strong>Bioruptor </strong>– for efficient and reproducible chromatin shearing</li> </ul> <p>We have expertise with many different types of samples as well as with a broad range of chromatin marks and can provide you with quality data even on very low input samples. Our bioinformatic experts will closely work with you to provide you with standard or customized analysis and will generate comprehensive publication-ready figures.</p> <ul> <li>Collaborative and customized project design to meet your needs</li> <li>Dedicated in-house expert</li> <li>End-to-end or customized service including wet lab and bioinformatic services</li> </ul> <p class="text-center"><img alt="ChIP Sequencing Services" src="https://www.diagenode.com/img/categories/chip_seq/ChIP-seq-success-experiment-WEB.png" /></p> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'label1' => 'ChIP-seq service description', 'info1' => '<p>In order to provide you with the highest quality data, our ChIP-seq service is composed of two major steps:</p> <ol> <li><strong>ChIP validation</strong> - during this step we optimize the ChIP conditions that depend on your sample type, target and amount of cells.</li> <li><strong>ChIP on sample of interest</strong> - once the best ChIP conditions are validated, the samples of interest can be processed.</li> </ol> <p></p> <p>ChIP-seq service includes:</p> <table style="width: 918px;"> <tbody> <tr style="height: 62px;"> <td style="width: 218px; height: 220px; background-color: #f9f9f9;" rowspan="3"><strong>1. ChIP validation</strong></td> <td style="width: 417px; height: 62px;"><strong>Chromatin Shearing validation</strong></td> <td style="width: 568px; height: 62px;"> <ul> <li>Testing 2 shearing times for each cell type/tissue type</li> </ul> </td> </tr> <tr style="height: 27px;"> <td style="width: 417px; height: 27px; background-color: white;"><strong>ChIP/Ab validation</strong></td> <td style="width: 417px; height: 27px; background-color: white;"> <ul> <li>Testing 2 Ab amounts and/or 2 Ab references per target of interest</li> <li>qPCR analysis if positive and negative control regions can be provided</li> <li>Library preparation on IPs and INPUTs material</li> <li>Illumina sequencing run : Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li> <li>Quality check, alignment to reference genome, identification of enriched regions (peak calling)</li> </ul> </td> </tr> <tr style="height: 131px;"> <td style="width: 417px; height: 131px;"><strong>Primers design and validation</strong></td> <td style="width: 568px; height: 131px;"> <ul> <li>Performed on gDNA based on the data obtained during the ChIP/Ab validation. Those primers will be used for further qPCR validation of the ChIP on the samples of interest</li> </ul> </td> </tr> <tr style="height: 38px;"> <td style="width: 218px; height: 38px; background-color: white;"></td> <td style="width: 218px; height: 38px;"></td> <td style="width: 218px; height: 38px;"></td> </tr> <tr style="height: 59px;"> <td style="width: 218px; height: 216px; background-color: #f9f9f9; text-align: center;" rowspan="3"><strong>2. ChIP on sample of interest</strong></td> <td style="width: 417px; height: 59px;"><strong>Chromatin IP</strong></td> <td style="width: 568px; height: 59px;"> <ul> <li>Chromatin shearing</li> <li>IPs</li> <li>qPCR analysis using primers that have been validated during the ChIP validation</li> </ul> </td> </tr> <tr style="height: 69px;"> <td style="width: 568px; height: 69px; background-color: white;"><strong>Library Preparation</strong></td> <td style="width: 568px; height: 69px; background-color: white;"> <ul> <li>Library preparation and purification on IPs and INPUTs material</li> </ul> </td> </tr> <tr style="height: 88px;"> <td style="width: 417px; height: 88px;"><strong>Sequencing</strong></td> <td style="width: 568px; height: 88px;"> <ul> <li>Illumina sequencing run: Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li> </ul> </td> </tr> </tbody> </table> <script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script> <script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>', 'label2' => 'Bioinformatic analysis', 'info2' => '<h3>Bioinformatic analyses on samples of interest</h3> <table style="width: 972px;"> <tbody> <tr style="height: 107px; border-color: 1px;"> <td style="width: 137px; height: 107px; background-color: #f9f9f9; text-align: center;"><strong>Standard bioinformatics</strong></td> <td style="width: 358px; height: 107px;"> <p style="text-align: center;"></p> </td> <td style="width: 466px; height: 107px;"> <ul> <li>Quality check, alignment to reference genome, identification of enriched regions (peak calling)</li> </ul> </td> </tr> <tr style="height: 24px;"> <td style="width: 137px; height: 24px; background-color: white; text-align: center;"><strong></strong></td> <td style="width: 137px; height: 24px; background-color: #f9f9f9; text-align: center;"></td> <td style="width: 137px; height: 24px; background-color: #f9f9f9; text-align: center;"></td> </tr> <tr style="height: 41px;"> <td style="width: 137px; height: 170px; background-color: #f9f9f9; text-align: center;" rowspan="5"><strong>Advanced bioinformatics</strong></td> <td style="width: 466px; height: 41px; background-color: white;"> <p style="text-align: center;"><strong>Differential binding analysis</strong></p> </td> <td style="width: 466px; height: 41px; background-color: white;"> <ul> <li>Identification and annotation of differential binding sites between samples based on previously identified ChIP-seq peaks</li> </ul> </td> </tr> <tr style="height: 33px;"> <td style="width: 466px; height: 33px; background-color: white; text-align: center;"><strong>Annotation in genomic regions</strong></td> <td style="width: 466px; height: 33px; background-color: white;"> <ul> <li>Annotation of ChIP-seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions</li> </ul> </td> </tr> <tr style="height: 26px;"> <td style="width: 466px; height: 26px; background-color: white; text-align: center;"><strong>Gene ontology termes analysis</strong></td> <td style="width: 466px; height: 26px; background-color: white;"> <ul> <li>Enrichment analysis on gene sets. 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Collaborative and customized project design to meet your needs. Dedicated in-house expert.', 'modified' => '2024-02-29 13:30:50', 'created' => '2015-08-26 17:17:38', 'ProductsRelated' => array( [maximum depth reached] ), 'Image' => array([maximum depth reached]) ), (int) 2 => array( 'id' => '2903', 'antibody_id' => null, 'name' => 'Total RNA-seq Service', 'description' => '<div class="extra-spaced"> <p>Exploring the whole transcriptome allows to gain insight of potential transcriptional and regulatory network mechanisms. With <b>Total RNA-seq </b>services, we will sequence the whole transcriptome and record the complete set of RNA transcripts, including mRNAs and long non-coding RNAs, present in a biological sample under specific circumstances. This approach is optimal for finding biomarkers from known transcripts and discover new RNA features.</p> <p>Our Epigenomics Profiling Services assure a fully integrated service-workflow for generation of RNA-seq libraries, multiplexed sequencing and data analysis. Serviced library preparation can be performed with an optional rRNA depletion step to enable cost-effective sequencing of RNA samples.</p> </div> <h2>High discovery power with total RNA-seq</h2> <ul class="square"> <li>Detection of both coding and non-coding RNAs with optional rRNA depletion</li> <li>Recognition of long coding RNAs involved in chromatin remodeling and transcriptional/post-transcriptional regulation</li> <li>Investigation of the structure of genes, their splicing patterns and other post transcriptional modifications</li> <li>Suitable for a broad range of input amounts</li> <li>Compatible with FFPE samples</li> <li>Fast turnaround time (from 5 to 6 weeks)</li> </ul> <p><span><i class="fa fa-arrow-circle-right"></i> </span><a href="https://www.diagenode.com/en/categories/rna-seq-category">See our other RNA-seq Profiling Services</a></p>', 'label1' => 'Sample Requirements', 'info1' => '<div class="extra-spaced"> <ul> <li><strong>Project size</strong>: minimum of 24 samples</li> <li><strong>Sample type</strong>: total isolated RNA</li> <li><strong>Required quantities</strong>: minimum 5 ng of total RNA (Human, Mouse, Rat) or 100 ng (Plant)</li> <li><strong>Shipment conditions</strong>: shipped in 1.5 mL or 0.5 mL tubes on dry ice</li> </ul> </div>', 'label2' => 'Services Workflow', 'info2' => '<center><img alt="Total RNA-seq Service" src="https://www.diagenode.com/img/product/services/ToatlRNA-seq_Workflow.png" /></center> <div class="extra-spaced"> <h3 class="green">What our service includes</h3> <ol> <li><strong>RNA quality control</strong></li> <ul> <li>Determination of RIN value (RNA integration number)</li> <li>Measurement of RNA concentration</li> </ul> <li><strong>Library preparation</strong></li> <ul> <li>Optional rRNA depletion</li> <li>Stranded library construction</li> <li>Quality control of libraries prior to sequencing</li> </ul> <li><strong>Sequencing on Illumina platforms</strong></li> <ul> <li>50 million raw reads per sample</li> </ul> <li><strong>Data analysis</strong> (optional for additional fee)</li> <ul> <li>Standard bioinformatic analysis</li> <li>Advanced bioinformatic analysis</li> <li>Data delivery of raw data and all generated files through fast and secure file transfer or hard drive upon request</li> </ul> </ol> </div>', 'label3' => 'Bioinformatics Analysis', 'info3' => '<table style="padding: 40px;"> <tbody> <tr> <td> <h4 class="text-center"><strong>Standard bioinformatic analysis</strong><br /> (optional for additional fee)</h4> </td> <td> <h4 class="text-center"><strong>Advanced bioinformatic analysis</strong><br /> (optional for additional fee)</h4> </td> </tr> <tr> <td style="vertical-align: top; padding-left: 20px;"> <ul> <li>Demultiplexing, read quality control, trimming and filtering</li> <li>Alignment to reference genome</li> <li>Quantification of coding and non-coding RNA biotypes with specialized quantification tool MGCount (<a href="https://doi.org/10.1186/s12859-021-04544-3">software developed by Diagenode</a>)</li> </ul> <br /> <p><em>Provided files:</em></p> <ul> <li>Report with sequencing statistics</li> <li>Raw data in FASTQ format</li> <li>FastQC report</li> <li>Alignment in BAM format</li> <li>Un-normalized read counts</li> </ul> </td> <td style="vertical-align: top;"> <ul> <li>Differential expression analysis</li> <li>Gene ontology terms analysis</li> <li>Pathway analysis</li> <li>Alternative splicing analysis</li> <li>Novel transcript identification</li> </ul> </td> </tr> </tbody> </table> <p></p>', 'format' => 'Custom', 'catalog_number' => 'G02030000', 'old_catalog_number' => '', 'sf_code' => '', 'type' => 'ACC', 'search_order' => '01-Accessory', 'price_EUR' => 'on request', 'price_USD' => 'on request', 'price_GBP' => 'on request', 'price_JPY' => '42800', 'price_CNY' => 'on request', 'price_AUD' => 'on request', 'country' => 'ALL', 'except_countries' => 'None', 'quote' => true, 'in_stock' => false, 'featured' => true, 'no_promo' => true, 'online' => true, 'master' => true, 'last_datasheet_update' => '', 'slug' => 'rna-seq-services', 'meta_title' => 'Total RNA-seq Service - Whole Transcriptome Analysis | Diagenode', 'meta_keywords' => '', 'meta_description' => 'Total RNA-seq examines the entire transcriptome in an unbiased fashion. The method captures both coding and non-coding RNA transcripts and quantifies gene expression heterogeneity', 'modified' => '2022-03-04 15:26:01', 'created' => '2017-07-26 15:01:26', 'ProductsRelated' => array( [maximum depth reached] ), 'Image' => array([maximum depth reached]) ) ), 'Application' => array(), 'Category' => array( (int) 0 => array( 'id' => '72', 'position' => '2', 'parent_id' => '121', 'name' => 'Chromatin Profiling Services', 'description' => '<div class="row"> <div class="small-12 medium-12 large-12 columns"><center></center></div> </div> <div class="row"> <div class="small-12 medium-4 large-4 columns"> <div class="panel"><center><img src="http://www.diagenode.com/img/categories/services/chip-workflow.png" alt="Chromatin-Immunoprecipitation-Diagenode" /></center> <p>Chromatin consists of DNA, histones and non-histone proteins. Understanding the roles of histones and transcription factors is critical in understanding the regulation of gene expression.</p> <p>Using ChIP-seq analysis, it is possible to profile histone modifications and transcription factor binding genome-wide to elucidate control of gene expression in disease or in response to a drug treatment. Diagenode’s Epigenomic Profiling Services offer a wide variety of chromatin analysis options through ChIP-seq and ATAC-seq.</p> </div> <center><img src="https://www.diagenode.com/img/logo-scientist-registered-supplier.png" /></center></div> <div class="small-12 medium-8 large-8 columns"><center><img src="http://www.diagenode.com/img/applications/histone-marks-helice.png" alt="Histone-Antibodies-Diagenode" /></center><br href="../p/service-chip-seq" /> <h3><a href="../p/atac-seq-service">ATAC-seq: open chromatin regions</a></h3> <p>Study genome-wide chromatin accessibility. Identify open chromatin sites and active regulatory elements such as promoter, enhancers, and insulators.</p> <ul> <ul> <li>Nucleosome positioning</li> </ul> </ul> <h3><a href="../p/service-chip-seq">ChIP-seq histone modifications</a></h3> <p>Post-translational modification of histones is implicated in the regulation of gene expression, necessitating the study of regulatory elements and their interacting proteins like active promoter and enhancer analysis. Profile genome-wide histone modifications by ChIP-seq analysis to understand transcriptional regulation</p> <ul> <li><strong>Active promoter profiling</strong>: H3K4me3 enrichment</li> <li><strong>Inactive promoter profiling</strong>: H3K27me3 enrichment</li> <li><strong>Enhancer profiling</strong>: H3K4me1 and H3K27ac enrichment in regulatory regions</li> <li><strong>Active gene body</strong>: H3K36me3</li> </ul> <h3><a href="../p/service-chip-seq">ChIP-seq Transcription Factors</a></h3> <p>Explore the effects of transcription factor binding through ChIP-seq analysis of a multitude of TFs including:</p> <ul> <li>CTCF: transcriptional repressor and insulator activity</li> <li>p300/CBP: histone acetyltransferase</li> <li>Pol II, p53, and more</li> <li>Epigenetic writers, readers, erasers</li> <li>Nuclear receptors</li> <li>Tumor suppressor genes</li> </ul> </div> </div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div> <div id="ConnectiveDocSignExtentionInstalled" data-extension-version="1.0.4"></div>', 'no_promo' => true, 'in_menu' => true, 'online' => true, 'tabular' => true, 'hide' => false, 'all_format' => false, 'is_antibody' => false, 'slug' => 'chip-seq-service', 'cookies_tag_id' => '3', 'meta_keywords' => 'ChIP-seq services,Chromatin shearing, Immunoprecipitation,Library Preparation ', 'meta_description' => 'Diagenode Offers Expert and Fully Customizable ChIP-Seq Services for Chromatin Shearing, Immunoprecipitation Followed by Library Preparation and Sequencing including Bioinformatic analysis.', 'meta_title' => 'ChIP-Seq Analysis and ChIP-Seq Services | Diagenode', 'modified' => '2024-02-29 13:37:23', 'created' => '2015-08-03 16:11:06', 'ProductsCategory' => array( [maximum depth reached] ), 'CookiesTag' => array( [maximum depth reached] ) ), (int) 1 => array( 'id' => '121', 'position' => '9', 'parent_id' => null, 'name' => 'Epigenomics Profiling Services', 'description' => '<div class="row"> <div class="small-12 medium-10 large-10 columns text-left"> <p>Our Epigenomics Profiling Services assure the sample preparation expertise and quality data that you seek. We provide epigenome-wide analyses for understanding epigenetic mechanisms, epigenetics-related drug discovery, transgenerational epigenetics studies, epigenetic biomarker identification (including epigenomic cancer biomarkers), and functional epigenomics. Diagenode offers expert epigenomics services that you can trust for chromatin, DNA, and RNA analysis. </p> </div> <div class="small-12 medium-2 large-2 columns text-left"><img src="https://www.diagenode.com/img/logo-scientist-registered-supplier.png" /></div> </div> <center><img alt="DNA-RNA-Chromatin-Diagenode" src="https://www.diagenode.com/img/categories/services/chromatin-dna-rna.png" /></center> <div class="row"> <div class="small-12 medium-4 large-4 columns text-left"> <div class="panel" style="border-color: #099f92;"> <h3><span class="green">Chromatin</span> analysis</h3> <ul> <li>ChIP-seq analysis Histone modification</li> <li>Promoter analysis</li> <li>Enhancer analysis</li> <li>ChIP-seq analysis Transcription factor </li> <li>(sc)ATAC-seq Chromatin accessibility</li> <li>ChIP-seq Cas9 off-target</li> <li>Customized NGS service</li> </ul> <p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/chip-seq-service">Learn more</a></p> </div> </div> <div class="small-12 medium-4 large-4 columns text-left"> <div class="panel" style="border-color: #474546;"> <h3><span class="darkgrey">DNA methylation</span> analysis</h3> <ul> <li>Reduced representation bisulfite sequencing (RRBS)</li> <li>Whole genome bisulfite sequencing (WGBS)</li> <li>Targeted methylation</li> <li>MeDIP-seq/hMeDIP-seq</li> <li>Infinium MethylationEPIC array </li> </ul> <p></p> <p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/dna-methylation-profiling-services">Learn more</a></p> </div> </div> <div class="small-12 medium-4 large-4 columns text-left"> <div class="panel" style="border-color: #b11e33;"> <h3><span class="diacol"><g class="gr_ gr_44 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace" id="44" data-gr-id="44">RNA-seq</g></span> analysis</h3> <ul> <li><span style="display: inline !important; float: none; background-color: #f8f8f8; color: #333333; font-family: Helvetica,Arial,sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;">Gene expression profiling</span></li> <li>mRNA<span style="display: inline !important; float: none; background-color: #f8f8f8; color: #333333; font-family: Helvetica,Arial,sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;"> analysis</span></li> <li>Small non-coding RNA analysis</li> <li><b></b>Whole transcriptome analysis<br /><br /><br /><br /><br /></li> </ul> <p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/rna-seq-category">Learn more</a></p> </div> </div> </div> <h2 style="text-align: center;"><a class="details radius small button" href="https://www.diagenode.com/en/documents/services-flyer">DOWNLOAD OUR FLYER</a></h2> <h2>Why Diagenode</h2> <ul> <li><strong>Expertise and trust</strong>: Recognized epigenetics leader, official partner of <a href="http://www.blueprint-epigenome.eu/"><g class="gr_ gr_45 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace" id="45" data-gr-id="45">BLUEPRINT</g></a>, <a href="http://ihec-epigenomes.org/">IHEC</a> <g class="gr_ gr_46 gr-alert gr_gramm gr_inline_cards gr_disable_anim_appear Punctuation only-ins replaceWithoutSep" id="46" data-gr-id="46">and</g> <a href="https://www.faang.org/">FAANG</a></li> <li><strong>Innovative technology</strong>: Utilization of the signature Bioruptor<sup>®</sup> sonication device for optimal chromatin and DNA shearing and the IP-Star<sup>®</sup> Automation device give reproducible and reliable optimization and results</li> <li><strong>Quality</strong>: Multiple QC steps in all workflows and validated antibodies plus reagents deliver superior data</li> <li><strong>Flexibility</strong>: Extensive range of sample species and sample origins</li> <li><strong>Experience</strong> in epigenomics profiling for a wide range of applications and fields of interest</li> </ul> <div class="extra-spaced"> <ul class="small-block-grid-2 medium-block-grid-3 large-block-grid-3"> <li> <div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">HUMAN</span><center><img width="260" height="259" alt="services chip-seq - human" src="https://www.diagenode.com/img/categories/services/services-humans.png" caption="false" /></center></div> </li> <li> <div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">ANIMALS</span><center><img width="260" height="259" alt="services chip-seq - animals" src="https://www.diagenode.com/img/categories/services/services-animals.png" caption="false" /></center></div> </li> <li> <div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">PLANTS</span><center><img width="260" height="259" alt="services methylation-plant" src="https://www.diagenode.com/img/categories/services/services-plants.png" caption="false" /></center></div> </li> </ul> </div> <h2>12 years of expertise and trust in epigenetics</h2> <ul> <li><strong>End-to-end</strong> epigenetic service</li> <li><strong>Collaborative</strong> and customized project design</li> <li>Dedicated <strong>in-house expert</strong> for your project</li> <li><strong>Integrative</strong> data analysis</li> <li>Presentation-<strong>quality data</strong> and graphs</li> </ul> <center><iframe width="560" height="315" allowfullscreen="allowfullscreen" allow="autoplay; encrypted-media" frameborder="0" src="https://www.youtube.com/embed/nFjNye25m4E"></iframe></center>', 'no_promo' => true, 'in_menu' => false, 'online' => true, 'tabular' => false, 'hide' => false, 'all_format' => false, 'is_antibody' => false, 'slug' => 'Services', 'cookies_tag_id' => '3', 'meta_keywords' => 'Epigenetic services,ChIP-seq,RRBS, WGBS', 'meta_description' => 'Diagenode offers expert epigenomics services that you can trust for chromatin, DNA, and RNA analysis.', 'meta_title' => 'Epigenomics Profiling Services | Diagenode', 'modified' => '2020-12-21 05:45:06', 'created' => '2016-08-30 16:40:51', 'ProductsCategory' => array( [maximum depth reached] ), 'CookiesTag' => array( [maximum depth reached] ) ) ), 'Document' => array( (int) 0 => array( 'id' => '1052', 'name' => 'Epigenomics Profiling Services', 'description' => '<ul> <li>Chromatin analysis</li> <li>DNA methylation services</li> <li>RNA-seq analysis</li> </ul>', 'image_id' => null, 'type' => 'Flyer', 'url' => 'files/flyers/epigenomics_profiling_services_flyer.pdf', 'slug' => 'services-flyer', 'meta_keywords' => '', 'meta_description' => '', 'modified' => '2020-04-23 16:22:55', 'created' => '2019-06-13 11:36:20', 'ProductsDocument' => array( [maximum depth reached] ) ) ), 'Feature' => array(), 'Image' => array(), 'Promotion' => array(), 'Protocol' => array(), 'Publication' => array( (int) 0 => array( 'id' => '4927', 'name' => 'Inflammatory stress-mediated chromatin changes underlie dysfunction in endothelial cells', 'authors' => 'Liu H. et al.', 'description' => '<p><span>Inflammatory stresses underlie endothelial dysfunction and contribute to the development of chronic cardiovascular disorders such as atherosclerosis and vascular fibrosis. The initial transcriptional response of endothelial cells to pro-inflammatory cytokines such as TNF-alpha is well established. However, very few studies uncover the effects of inflammatory stresses on chromatin architecture. We used integrative analysis of ATAC-seq and RNA-seq data to investigate chromatin alterations in human endothelial cells in response to TNF-alpha and febrile-range heat stress exposure. Multi-omics data analysis suggests a correlation between the transcription of stress-related genes and endothelial dysfunction drivers with chromatin regions exhibiting differential accessibility. Moreover, microscopy identified the dynamics in the nuclear organization, specifically, the changes in a subset of heterochromatic nucleoli-associated chromatin domains, the centromeres. Upon inflammatory stress exposure, the centromeres decreased association with nucleoli in a p38-dependent manner and increased the number of transcripts from pericentromeric regions. Overall, we provide two lines of evidence that suggest chromatin alterations in vascular endothelial cells during inflammatory stresses.</span></p>', 'date' => '2023-10-16', 'pmid' => 'https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614786/', 'doi' => '10.1101/2023.10.11.561959', 'modified' => '2024-03-27 15:15:21', 'created' => '2024-03-27 15:15:21', 'ProductsPublication' => array( [maximum depth reached] ) ), (int) 1 => array( 'id' => '4097', 'name' => ' Answer ALS: A Large-Scale Resource for Sporadic and Familial ALS Combining Clinical Data with Multi-Omics Data from Induced Pluripotent Cell Lines', 'authors' => 'Jeffrey Rothstein, James Berry, Clive Svendsen, Leslie Thompson, Steven Finkbeiner, Jennifer Van Eyk, Ernest Fraenkel, Merit Cudkowicz, Nicholas Maragakis, Dhruv Sareen, Raquel Norel, Victoria Dardov, Alyssa Coyne, Aaron Frank, Andrea Matlock', 'description' => '<p><span>Answer ALS is a comprehensive multi-omics approach to ALS to ascertain, at a population level, the various clinical-molecular- biochemical subtypes of sporadic ALS. This national program enrolled 1046 ALS and ALS/FTD patients along with a cohort of 100 matched control patients followed longitudinally over at least one year. A smartphone-based app was employed to collect deep clinical data including fine motor activity, speech, breathing and linguistics/cognition. Analytics of the speech patterns revealed a strong correlation between clinical progression indices and speech. In parallel, blood-derived iPS motor neurons were generated from each patient and the cells underwent multi-omics analytics including whole genome sequencing, RNA transcriptomics, ATAC-Seq and proteome along with quality assurance standards. HIPPA compliant cloud data bases were employed to store all data. There are more than 6 billion clinical and molecular data points per patient generated in the program. The program was designed, and patient consented, to be open access to all clinical, biological and molecular data as well as public release of all generated iPS cell lines. A web portal is available to academics as well as commercial researchers. The ultimate intent of this data is for the generation of Integrated clinical and biological signatures using bioinformatics, statistics and computational biology to establish patterns that may lead to a better understanding of the underlying mechanisms of disease including subgroup identification. Overall, this community based clinical and science program provides for the identification of distinct reliably identifiable subgroups among the sporadic and familial patients and the great utility in iPS based approaches to disease pathophysiology and therapy discovery. Although the data is ALS centric, given the large number of both ALS and control data sets, it would also be enormously useful to others studying frontotemporal dementia, Alzheimer’s, Parkinson’s disease and others.</span></p>', 'date' => '2022-02-03', 'pmid' => 'https://pubmed.ncbi.nlm.nih.gov/35115730/', 'doi' => '10.1038/s41593-021-01006-0', 'modified' => '2022-02-09 16:40:32', 'created' => '2021-04-07 10:26:36', 'ProductsPublication' => array( [maximum depth reached] ) ) ), 'Testimonial' => array(), 'Area' => array(), 'SafetySheet' => array() ) $country = 'US' $countries_allowed = array( (int) 0 => 'CA', (int) 1 => 'US', (int) 2 => 'IE', (int) 3 => 'GB', (int) 4 => 'DK', (int) 5 => 'NO', (int) 6 => 'SE', (int) 7 => 'FI', (int) 8 => 'NL', (int) 9 => 'BE', (int) 10 => 'LU', (int) 11 => 'FR', (int) 12 => 'DE', (int) 13 => 'CH', (int) 14 => 'AT', (int) 15 => 'ES', (int) 16 => 'IT', (int) 17 => 'PT' ) $outsource = false $other_formats = array() $edit = '' $testimonials = '' $featured_testimonials = '' $related_products = '<li> <div class="row"> <div class="small-12 columns"> <a href="/jp/p/data-mining-service"><img src="https://www.diagenode.com/img/product/data-mining.jpg" alt="Bioinformatics Data Mining Service" class="th"/></a> </div> <div class="small-12 columns"> <div class="small-6 columns" style="padding-left:0px;padding-right:0px;margin-top:-6px;margin-left:-1px"> <span class="success label" style="">G02100000</span> </div> <div class="small-6 columns text-right" style="padding-left:0px;padding-right:0px;margin-top:-6px"> <!--a href="#" style="color:#B21329"><i class="fa fa-info-circle"></i></a--> <!-- BEGIN: QUOTE MODAL --><div id="quoteModal-3022" class="reveal-modal small" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>データマイニングサービス</strong>. 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style="padding-left:0px;padding-right:0px;margin-top:-6px;margin-left:-1px"> <span class="success label" style="">G02010000</span> </div> <div class="small-6 columns text-right" style="padding-left:0px;padding-right:0px;margin-top:-6px"> <!--a href="#" style="color:#B21329"><i class="fa fa-info-circle"></i></a--> <!-- BEGIN: QUOTE MODAL --><div id="quoteModal-2681" class="reveal-modal small" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>our epigenomics services</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p> </div> </div> <form action="/jp/quotes/quote?id=2681" id="Quote-2681" class="quote" method="post" accept-charset="utf-8"><div style="display:none;"><input type="hidden" name="_method" value="POST"/></div><input type="hidden" name="data[Quote][product_id]" value="2681" id="QuoteProductId"/><input type="hidden" name="data[Quote][formLoaded6tY4bPYk]" value="Y3hVSnQrR296K1g0SjNhSWFwUTBqUT09" id="QuoteFormLoaded6tY4bPYk"/><input type="hidden" name="data[Quote][product_rfq_tag]" value="service-chip-seq" id="QuoteProductRfqTag"/><input type="hidden" name="data[Quote][source_quote]" value="modal quote" id="QuoteSourceQuote"/> <div class="row collapse"> <h2>Service Information</h2> </div> <div class="small-12 large-12 columns"> <h4>Which services are you interested in?</h4> </div> <div class="small-12 large-12 columns"> <input type="hidden" name="data[Quote][epigenomics_service]" value="" id="QuoteEpigenomicsService"/> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="ChIP-seq" id="QuoteEpigenomicsServiceChIPSeq" /><label for="QuoteEpigenomicsServiceChIPSeq">ChIP-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="ATAC-seq" id="QuoteEpigenomicsServiceATACSeq" /><label for="QuoteEpigenomicsServiceATACSeq">ATAC-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="RRBS" id="QuoteEpigenomicsServiceRRBS" /><label for="QuoteEpigenomicsServiceRRBS">RRBS</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="WGBS" id="QuoteEpigenomicsServiceWGBS" /><label for="QuoteEpigenomicsServiceWGBS">WGBS</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="MeDIP-seq" id="QuoteEpigenomicsServiceMeDIPSeq" /><label for="QuoteEpigenomicsServiceMeDIPSeq">MeDIP-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Targeted DNA methylation analysis" id="QuoteEpigenomicsServiceTargetedDNAMethylationAnalysis" /><label for="QuoteEpigenomicsServiceTargetedDNAMethylationAnalysis">Targeted DNA methylation analysis</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Infinium MethylationEPIC Array v2" id="QuoteEpigenomicsServiceInfiniumMethylationEPICArrayV2" /><label for="QuoteEpigenomicsServiceInfiniumMethylationEPICArrayV2">Infinium MethylationEPIC Array v2</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Infinium Mouse Methylation Array" id="QuoteEpigenomicsServiceInfiniumMouseMethylationArray" /><label for="QuoteEpigenomicsServiceInfiniumMouseMethylationArray">Infinium Mouse Methylation Array</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="RNA-seq" id="QuoteEpigenomicsServiceRNASeq" /><label for="QuoteEpigenomicsServiceRNASeq">RNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Bioinformatics" id="QuoteEpigenomicsServiceBioinformatics" /><label for="QuoteEpigenomicsServiceBioinformatics">Bioinformatics</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Data mining" id="QuoteEpigenomicsServiceDataMining" /><label for="QuoteEpigenomicsServiceDataMining">Data mining</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Human Methylome" id="QuoteEpigenomicsServiceHumanMethylome" /><label for="QuoteEpigenomicsServiceHumanMethylome">Human Methylome</label></div> </div> <div class="row collapse"> <div class="small-12 medium-12 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text-right" style="padding-left:0px;padding-right:0px;margin-top:-6px"> <!--a href="#" style="color:#B21329"><i class="fa fa-info-circle"></i></a--> <!-- BEGIN: QUOTE MODAL --><div id="quoteModal-2903" class="reveal-modal small" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 medium-12 large-12 columns"> <h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>RNA-seq 受託サービス</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p> </div> </div> <form action="/jp/quotes/quote?id=2903" id="Quote-2903" class="quote" method="post" accept-charset="utf-8"><div style="display:none;"><input type="hidden" name="_method" value="POST"/></div><input type="hidden" name="data[Quote][product_id]" value="2903" id="QuoteProductId"/><input type="hidden" name="data[Quote][formLoaded6tY4bPYk]" value="Y3hVSnQrR296K1g0SjNhSWFwUTBqUT09" id="QuoteFormLoaded6tY4bPYk"/><input type="hidden" name="data[Quote][product_rfq_tag]" value="rna-seq-services" id="QuoteProductRfqTag"/><input type="hidden" name="data[Quote][source_quote]" value="modal quote" id="QuoteSourceQuote"/> <div class="row collapse"> <h2>Your project</h2> </div> <div class="small-12 large-12 columns"> <h4>Which services are you interested in?</h4> </div> <div class="small-12 large-12 columns"> <input type="hidden" name="data[Quote][rna_seq_service]" value="" id="QuoteRnaSeqService"/> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="High-throughput 3mRNA-seq" id="QuoteRnaSeqServiceHighThroughput3mRNASeq" /><label for="QuoteRnaSeqServiceHighThroughput3mRNASeq">High-throughput 3mRNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="mRNA-seq" id="QuoteRnaSeqServiceMRNASeq" /><label for="QuoteRnaSeqServiceMRNASeq">mRNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Small RNA-seq" id="QuoteRnaSeqServiceSmallRNASeq" /><label for="QuoteRnaSeqServiceSmallRNASeq">Small RNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Total RNA-seq" id="QuoteRnaSeqServiceTotalRNASeq" /><label for="QuoteRnaSeqServiceTotalRNASeq">Total RNA-seq</label></div> <div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Bioinformatics" id="QuoteRnaSeqServiceBioinformatics" /><label for="QuoteRnaSeqServiceBioinformatics">Bioinformatics</label></div> </div> <div class="row collapse"> <div class="small-12 medium-12 large-3 columns"> <span class="prefix">Sample species</span> </div> <div class="small-12 medium-12 large-9 columns"> <input name="data[Quote][sample_species]" maxlength="510" type="text" id="QuoteSampleSpecies"/> </div> </div> <div class="row collapse"> <div class="small-12 medium-12 large-6 columns"> <span class="prefix">Total number of samples (including replicates)</span> </div> <div class="small-12 medium-12 large-6 columns"> <input name="data[Quote][number_samples]" maxlength="255" type="text" id="QuoteNumberSamples"/> </div> </div> <div class="row collapse"> <h2>Contact Information</h2> <div class="small-3 large-2 columns"> <span class="prefix">First name <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][first_name]" placeholder="john" maxlength="255" type="text" id="QuoteFirstName" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Last name <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][last_name]" placeholder="doe" maxlength="255" type="text" id="QuoteLastName" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Company <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][company]" placeholder="Organisation / Institute" maxlength="255" type="text" id="QuoteCompany" required="required"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Phone number</span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][phone_number]" placeholder="+1 862 209-4680" maxlength="255" type="text" id="QuotePhoneNumber"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">City</span> </div> <div class="small-9 large-10 columns"> <input name="data[Quote][city]" placeholder="Denville" maxlength="255" type="text" id="QuoteCity"/> </div> </div> <div class="row collapse"> <div class="small-3 large-2 columns"> <span class="prefix">Country <sup style="font-size:16px;color:red;">*</sup></span> </div> <div class="small-9 large-10 columns"> <select name="data[Quote][country]" required="required" class="triggers" id="country_selector_quote-2903"> <option value="">-- select a country --</option> <option value="AF">Afghanistan</option> <option value="AX">Åland Islands</option> <option value="AL">Albania</option> <option value="DZ">Algeria</option> <option value="AS">American Samoa</option> <option value="AD">Andorra</option> <option 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value="GE">Georgia</option> <option value="DE">Germany</option> <option value="GH">Ghana</option> <option value="GI">Gibraltar</option> <option value="GR">Greece</option> <option value="GL">Greenland</option> <option value="GD">Grenada</option> <option value="GP">Guadeloupe</option> <option value="GU">Guam</option> <option value="GT">Guatemala</option> <option value="GG">Guernsey</option> <option value="GN">Guinea</option> <option value="GW">Guinea-Bissau</option> <option value="GY">Guyana</option> <option value="HT">Haiti</option> <option value="HM">Heard Island and McDonald Islands</option> <option value="VA">Holy See (Vatican City State)</option> <option value="HN">Honduras</option> <option value="HK">Hong Kong</option> <option value="HU">Hungary</option> <option value="IS">Iceland</option> <option value="IN">India</option> <option value="ID">Indonesia</option> <option value="IR">Iran, Islamic Republic of</option> <option value="IQ">Iraq</option> <option value="IE">Ireland</option> 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value="MG">Madagascar</option> <option value="MW">Malawi</option> <option value="MY">Malaysia</option> <option value="MV">Maldives</option> <option value="ML">Mali</option> <option value="MT">Malta</option> <option value="MH">Marshall Islands</option> <option value="MQ">Martinique</option> <option value="MR">Mauritania</option> <option value="MU">Mauritius</option> <option value="YT">Mayotte</option> <option value="MX">Mexico</option> <option value="FM">Micronesia, Federated States of</option> <option value="MD">Moldova</option> <option value="MC">Monaco</option> <option value="MN">Mongolia</option> <option value="ME">Montenegro</option> <option value="MS">Montserrat</option> <option value="MA">Morocco</option> <option value="MZ">Mozambique</option> <option value="MM">Myanmar</option> <option value="NA">Namibia</option> <option value="NR">Nauru</option> <option value="NP">Nepal</option> <option value="NL">Netherlands</option> <option value="NC">New Caledonia</option> <option 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