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(
'language' => 'cn',
'meta_keywords' => '',
'meta_description' => '5-methylcytosine (5-mC) Monoclonal Antibody, clone 33D3 validated in MeDIP/MeDIP-seq, DB and IF. Batch-specific data available on the website. Sample size available.',
'meta_title' => '5-methylcytosine (5-mC) Antibody - clone 33D3 (C15200081-10) | Diagenode',
'product' => array(
'Product' => array(
'id' => '1979',
'antibody_id' => '631',
'name' => '5-methylcytosine (5-mC) Antibody - clone 33D3 (sample size)',
'description' => '<p>Monoclonal antibody raised in mouse against 5-mC (<strong>5-methylcytosine</strong>) conjugated to ovalbumine (<strong>33D3 clone</strong>).</p>',
'label1' => 'Validation Data',
'info1' => '',
'label2' => '',
'info2' => '',
'label3' => '',
'info3' => '',
'format' => '10 µg',
'catalog_number' => 'C15200081-10',
'old_catalog_number' => 'MAb-081-010',
'sf_code' => 'C15200081-D001-000582',
'type' => 'FRE',
'search_order' => '03-Antibody',
'price_EUR' => '105',
'price_USD' => '115',
'price_GBP' => '100',
'price_JPY' => '16450',
'price_CNY' => '',
'price_AUD' => '288',
'country' => 'ALL',
'except_countries' => 'None',
'quote' => false,
'in_stock' => false,
'featured' => false,
'no_promo' => false,
'online' => true,
'master' => false,
'last_datasheet_update' => '0000-00-00',
'slug' => '5-mc-monoclonal-antibody-33d3-premium-10-ug-5-ul',
'meta_title' => '5-methylcytosine (5-mC) Antibody - clone 33D3 (C15200081-10) | Diagenode',
'meta_keywords' => '',
'meta_description' => '5-methylcytosine (5-mC) Monoclonal Antibody, clone 33D3 validated in MeDIP/MeDIP-seq, DB and IF. Batch-specific data available on the website. Sample size available.',
'modified' => '2022-06-29 13:58:36',
'created' => '2015-06-29 14:08:20',
'locale' => 'zho'
),
'Antibody' => array(
'host' => '*****',
'id' => '631',
'name' => '5-mC monoclonal antibody 33D3 (sample size)',
'description' => '',
'clonality' => '',
'isotype' => 'IgG1',
'lot' => 'RD-006',
'concentration' => '1.1 µg/µl',
'reactivity' => 'Human, mouse, rat, cow, other (wide range): positive',
'type' => 'Monoclonal. <br /><strong>MeDIP grade.</strong><br /><strong>MeDIP-seq grade</strong>.',
'purity' => 'Protein A purified monoclonal antibody.',
'classification' => '',
'application_table' => '<table>
<thead>
<tr>
<th>Applications</th>
<th>Suggested dilution</th>
<th>References</th>
</tr>
</thead>
<tbody>
<tr>
<td>MeDIP/MeDIP-seq <sup>*</sup></td>
<td>0.1 - 2 µg/IP</td>
<td>Fig 1, 2</td>
</tr>
<tr>
<td>Dot Blotting **</td>
<td>1:300</td>
<td>Fig 3</td>
</tr>
<tr>
<td>IF</td>
<td>1:500</td>
<td>Fig 4</td>
</tr>
</tbody>
</table>
<p><small><sup>*</sup> Please note that the optimal antibody amount per IP should be determined by the end-user. We recommend testing 0.1-5 µg per IP.</small></p>
<p><small><sup>**</sup> Dot blot was only performed to demonstrate the specificity. This antibody is not recommended for dot blot on biological samples.</small></p>
<p></p>',
'storage_conditions' => 'Store at -20°C; for long storage, store at -80°C. Avoid multiple freeze-thaw cycles.',
'storage_buffer' => 'PBS containing 0.05% azide.',
'precautions' => 'This product is for research use only. Not for use in diagnostic or therapeutic procedures.',
'uniprot_acc' => '',
'slug' => '5-mc-monoclonal-antibody-33d3-premium-10',
'meta_keywords' => '',
'meta_description' => '',
'modified' => '2023-05-11 15:21:00',
'created' => '2020-12-17 10:31:21',
'select_label' => '631 - 5-mC monoclonal antibody 33D3 (sample size) (RD-006 - 1.1 µg/µl - Human, mouse, rat, cow, other (wide range): positive - Protein A purified monoclonal antibody. - Mouse)'
),
'Slave' => array(),
'Group' => array(
'Group' => array(
[maximum depth reached]
),
'Master' => array(
[maximum depth reached]
),
'Product' => array(
[maximum depth reached]
)
),
'Related' => array(
(int) 0 => array(
[maximum depth reached]
),
(int) 1 => array(
[maximum depth reached]
),
(int) 2 => array(
[maximum depth reached]
),
(int) 3 => array(
[maximum depth reached]
),
(int) 4 => array(
[maximum depth reached]
)
),
'Application' => array(
(int) 0 => array(
[maximum depth reached]
),
(int) 1 => array(
[maximum depth reached]
)
),
'Category' => array(
(int) 0 => array(
[maximum depth reached]
),
(int) 1 => array(
[maximum depth reached]
),
(int) 2 => array(
[maximum depth reached]
)
),
'Document' => array(
(int) 0 => array(
[maximum depth reached]
),
(int) 1 => array(
[maximum depth reached]
),
(int) 2 => array(
[maximum depth reached]
),
(int) 3 => array(
[maximum depth reached]
)
),
'Feature' => array(),
'Image' => array(
(int) 0 => array(
[maximum depth reached]
)
),
'Promotion' => array(),
'Protocol' => array(),
'Publication' => array(
(int) 0 => array(
[maximum depth reached]
),
(int) 1 => array(
[maximum depth reached]
),
(int) 2 => array(
[maximum depth reached]
),
(int) 3 => array(
[maximum depth reached]
),
(int) 4 => array(
[maximum depth reached]
),
(int) 5 => array(
[maximum depth reached]
),
(int) 6 => array(
[maximum depth reached]
),
(int) 7 => array(
[maximum depth reached]
),
(int) 8 => array(
[maximum depth reached]
),
(int) 9 => array(
[maximum depth reached]
),
(int) 10 => array(
[maximum depth reached]
),
(int) 11 => array(
[maximum depth reached]
),
(int) 12 => array(
[maximum depth reached]
),
(int) 13 => array(
[maximum depth reached]
),
(int) 14 => array(
[maximum depth reached]
),
(int) 15 => array(
[maximum depth reached]
),
(int) 16 => array(
[maximum depth reached]
),
(int) 17 => array(
[maximum depth reached]
),
(int) 18 => array(
[maximum depth reached]
),
(int) 19 => array(
[maximum depth reached]
),
(int) 20 => array(
[maximum depth reached]
),
(int) 21 => array(
[maximum depth reached]
),
(int) 22 => array(
[maximum depth reached]
),
(int) 23 => array(
[maximum depth reached]
),
(int) 24 => array(
[maximum depth reached]
),
(int) 25 => array(
[maximum depth reached]
),
(int) 26 => array(
[maximum depth reached]
),
(int) 27 => array(
[maximum depth reached]
),
(int) 28 => array(
[maximum depth reached]
),
(int) 29 => array(
[maximum depth reached]
),
(int) 30 => array(
[maximum depth reached]
),
(int) 31 => array(
[maximum depth reached]
),
(int) 32 => array(
[maximum depth reached]
),
(int) 33 => array(
[maximum depth reached]
),
(int) 34 => array(
[maximum depth reached]
),
(int) 35 => array(
[maximum depth reached]
),
(int) 36 => array(
[maximum depth reached]
),
(int) 37 => array(
[maximum depth reached]
),
(int) 38 => array(
[maximum depth reached]
),
(int) 39 => array(
[maximum depth reached]
),
(int) 40 => array(
[maximum depth reached]
),
(int) 41 => array(
[maximum depth reached]
),
(int) 42 => array(
[maximum depth reached]
),
(int) 43 => array(
[maximum depth reached]
),
(int) 44 => array(
[maximum depth reached]
),
(int) 45 => array(
[maximum depth reached]
),
(int) 46 => array(
[maximum depth reached]
),
(int) 47 => array(
[maximum depth reached]
),
(int) 48 => array(
[maximum depth reached]
),
(int) 49 => array(
[maximum depth reached]
),
(int) 50 => array(
[maximum depth reached]
),
(int) 51 => array(
[maximum depth reached]
),
(int) 52 => array(
[maximum depth reached]
),
(int) 53 => array(
[maximum depth reached]
),
(int) 54 => array(
[maximum depth reached]
),
(int) 55 => array(
[maximum depth reached]
),
(int) 56 => array(
[maximum depth reached]
),
(int) 57 => array(
[maximum depth reached]
),
(int) 58 => array(
[maximum depth reached]
),
(int) 59 => array(
[maximum depth reached]
),
(int) 60 => array(
[maximum depth reached]
),
(int) 61 => array(
[maximum depth reached]
),
(int) 62 => array(
[maximum depth reached]
),
(int) 63 => array(
[maximum depth reached]
),
(int) 64 => array(
[maximum depth reached]
),
(int) 65 => array(
[maximum depth reached]
),
(int) 66 => array(
[maximum depth reached]
),
(int) 67 => array(
[maximum depth reached]
),
(int) 68 => array(
[maximum depth reached]
),
(int) 69 => array(
[maximum depth reached]
),
(int) 70 => array(
[maximum depth reached]
),
(int) 71 => array(
[maximum depth reached]
),
(int) 72 => array(
[maximum depth reached]
),
(int) 73 => array(
[maximum depth reached]
),
(int) 74 => array(
[maximum depth reached]
),
(int) 75 => array(
[maximum depth reached]
),
(int) 76 => array(
[maximum depth reached]
),
(int) 77 => array(
[maximum depth reached]
),
(int) 78 => array(
[maximum depth reached]
),
(int) 79 => array(
[maximum depth reached]
),
(int) 80 => array(
[maximum depth reached]
),
(int) 81 => array(
[maximum depth reached]
),
(int) 82 => array(
[maximum depth reached]
),
(int) 83 => array(
[maximum depth reached]
),
(int) 84 => array(
[maximum depth reached]
),
(int) 85 => array(
[maximum depth reached]
),
(int) 86 => array(
[maximum depth reached]
),
(int) 87 => array(
[maximum depth reached]
),
(int) 88 => array(
[maximum depth reached]
),
(int) 89 => array(
[maximum depth reached]
),
(int) 90 => array(
[maximum depth reached]
),
(int) 91 => array(
[maximum depth reached]
),
(int) 92 => array(
[maximum depth reached]
),
(int) 93 => array(
[maximum depth reached]
),
(int) 94 => array(
[maximum depth reached]
),
(int) 95 => array(
[maximum depth reached]
),
(int) 96 => array(
[maximum depth reached]
),
(int) 97 => array(
[maximum depth reached]
),
(int) 98 => array(
[maximum depth reached]
),
(int) 99 => array(
[maximum depth reached]
),
(int) 100 => array(
[maximum depth reached]
),
(int) 101 => array(
[maximum depth reached]
),
(int) 102 => array(
[maximum depth reached]
),
(int) 103 => array(
[maximum depth reached]
),
(int) 104 => array(
[maximum depth reached]
),
(int) 105 => array(
[maximum depth reached]
),
(int) 106 => array(
[maximum depth reached]
)
),
'Testimonial' => array(),
'Area' => array(),
'SafetySheet' => array(
(int) 0 => array(
[maximum depth reached]
),
(int) 1 => array(
[maximum depth reached]
),
(int) 2 => array(
[maximum depth reached]
),
(int) 3 => array(
[maximum depth reached]
),
(int) 4 => array(
[maximum depth reached]
),
(int) 5 => array(
[maximum depth reached]
),
(int) 6 => array(
[maximum depth reached]
),
(int) 7 => array(
[maximum depth reached]
)
)
),
'meta_canonical' => 'https://www.diagenode.com/cn/p/5-mc-monoclonal-antibody-33d3-premium-100-ug-50-ul'
)
$language = 'cn'
$meta_keywords = ''
$meta_description = '5-methylcytosine (5-mC) Monoclonal Antibody, clone 33D3 validated in MeDIP/MeDIP-seq, DB and IF. Batch-specific data available on the website. Sample size available.'
$meta_title = '5-methylcytosine (5-mC) Antibody - clone 33D3 (C15200081-10) | Diagenode'
$product = array(
'Product' => array(
'id' => '1979',
'antibody_id' => '631',
'name' => '5-methylcytosine (5-mC) Antibody - clone 33D3 (sample size)',
'description' => '<p>Monoclonal antibody raised in mouse against 5-mC (<strong>5-methylcytosine</strong>) conjugated to ovalbumine (<strong>33D3 clone</strong>).</p>',
'label1' => 'Validation Data',
'info1' => '<div class="row">
<div class="small-12 columns">
<p class="text-center"><img src="https://www.diagenode.com/img/product/antibodies/C15200081_ChIPSeq-A.png" alt="5-mC (5-methylcytosine) Antibody validated in MeDIP-seq" caption="false" width="886" height="173" /></p>
<p class="text-center"><img src="https://www.diagenode.com/img/product/antibodies/C15200081_ChIPSeq-B.png" alt="5-mC (5-methylcytosine) Antibody validated in MeDIP-seq" caption="false" width="886" height="184" /></p>
</div>
</div>
<div class="row">
<div class="small-12 columns">
<p><small><strong>Figure 1. MeDIP-seq with the Diagenode monoclonal antibody directed against 5-mC</strong><br /> Genomic DNA from E14 ES cells was sheared with the Bioruptor® to generate random fragments (size range 300 to 700 bp). One µg of the fragmented DNA was ligated to Illumina adapters and the resulting DNA was used for a standard MeDIP assay, using 2 µg of the Diagenode monoclonal against 5-mC (Cat. No. C15200081). After recovery of the methylated DNA, Illumina sequencing libraries were generated and sequenced on an Illumina Genome Analyzer according to the manufacturer’s instructions. Figure 1A and 1B show Genome browser views of CA simple repeat elements with read distributions specific for 5-mC at 2 gene locations (SigleC15 and Mfsd4). Visual inspection of the peak profiles in a genome browser reveals high enrichment of CA simple repeats in affinity-enriched methylated fragments after MeDIP with the Diagenode 5-mC monoclonal antibody.</small></p>
</div>
</div>
<div class="row">
<div class="small-5 columns">
<p><img src="https://www.diagenode.com/img/product/antibodies/C15200081_medip.png" alt="5-mC (5-methylcytosine) Antibody validated in MeDIP" caption="false" width="355" height="372" /></p>
</div>
<div class="small-7 columns">
<p><small><strong>Figure 2. MeDIP results obtained with the Diagenode monoclonal antibody directed against 5-mC</strong><br /> MeDIP (Methylated DNA immunoprecipitation) was performed on 1 µg fragmented human genomic DNA using 0.2 µg of the Diagenode monoclonal antibody against 5-mC (cat. No. C15200081) and the MagMeDIP Kit (cat. No. C02010021). The fragmented DNA was spiked with the internal controls present in the kit (methylated DNA (meDNA) as a positive and unmethylated DNA (unDNA) as a negative control) prior to performing the IP. QPCR was performed with optimized primer sets, included in the kit, specific for the methylated and unmethylated DNA controls, and for a known methylated (TSH2B) and unmethylated (GAPDH) genomic region. Figure 2 shows the recovery expressed as a % of input (the relative amount of immunoprecipitated DNA compared to input DNA after qPCR analysis).</small></p>
</div>
</div>
<div class="row">
<div class="small-3 columns">
<p><img src="https://www.diagenode.com/img/product/antibodies/C15200081_Dotblot.png" alt=" 5-mC (5-methylcytosine) Antibody validated in dot blot" caption="false" width="201" height="196" /></p>
</div>
<div class="small-9 columns">
<p><small><strong>Figure 3. Dot blot analysis using the Diagenode monoclonal antibody directed against 5-mC</strong><br />To demonstrate the specificity of the Diagenode antibody against 5-mC (cat. No. C15200081), a Dot blot analysis was performed using the hmC, mC and C controls from the Diagenode “5-hmC, 5-mC & cytosine DNA Standard Pack” (cat. No. C02040010). One hundred to 4 ng (equivalent of 5 to 0.2 pmol of C-bases) of the controls were spotted on a membrane. Figure 3 shows a high specificity of the antibody for the methylated control.</small></p>
</div>
</div>
<div class="row">
<div class="small-12 columns"><center><img src="https://www.diagenode.com/img/product/antibodies/C15200081_IF1.png" alt="5-mC (5-methylcytosine) Antibody for immunofluorescence" height="121" width="500" caption="false" /></center></div>
</div>
<div class="row">
<div class="small-12 columns">
<p><small><strong>Figure 4. Immunofluorescence using the Diagenode monoclonal antibody directed against 5-mC</strong><br />HeLa cells were stained with the Diagenode antibody against 5-mC (Cat. No. C15200081) and with DAPI. Cells were fixed with 4% formaldehyde for 10’ and blocked with PBS/TX-100 containing 1% BSA. The cells were immunofluorescently labelled with the 5-mC antibody (middle) diluted 1:500 in blocking solution followed by an anti-mouse antibody conjugated to Alexa594. The left panel shows staining of the nuclei with DAPI. A merge of the two stainings is shown on the right.</small></p>
</div>
</div>
<!--
<div class="row">
<div class="small-12 columns"><center><img src="https://www.diagenode.com/img/product/antibodies/C15200081_SPR.png" alt="5-methylcytosine (5-mC) Antibody" surface="" plasmon="" resonance="" caption="false" width="700" height="372" /></center></div>
</div>
<div class="row">
<div class="small-12 columns">
<p><small><strong>Figure 5. Surface plasmon resonance (SPR) analysis of the the Diagenode monoclonal antibody directed against 5-mC</strong><br />A synthesized biotin-labeled 5-mC conjugate was immobilized on a CM4 BIAcore sensorchip (GE Healthcare, France). Briefly, two flowcells were prepared by sequential injections of EDC/NHS, streptavidin, and ethanolamine. One of these flowcells served as negative control (biotinylated spacer without 5-mC), while biotinylated 5-mC conjugate was injected in the other one, to get an immobilization level of 55 response units (RU). All SPR experiments were performed, using HBS-N buffer (10 mM HEPES,150 mM NaCl, pH 7.4), at a flow rate of 5 µl/min. Interaction assays involved injections of 2 different dilutions of the Diagenode 5-mC monoclonal antibody (Cat. No. C15200081) over the biotinylated 5-mC conjugate and negative control surfaces, followed by a 3 min washing step with HBS-N buffer to allow dissociation of the complexes formed. At the end of each cycle, the streptavidin surface was regenerated by injection of 0.1M citric acid (pH=3).</small></p>
<p><small>The sensorgrams correspond to the biotinylated 5-mC conjugate surface signal subtracted with the negative control. Data from the sensorgrams that reached binding equilibrium were used for Scatchard analysis. The value of the dissociation constant (kd) obtained by global fitting and 1:1 Langmuir model is 65 nM.</small></p>
</div>
</div>-->',
'label2' => '',
'info2' => '',
'label3' => '',
'info3' => '',
'format' => '10 µg',
'catalog_number' => 'C15200081-10',
'old_catalog_number' => 'MAb-081-010',
'sf_code' => 'C15200081-D001-000582',
'type' => 'FRE',
'search_order' => '03-Antibody',
'price_EUR' => '105',
'price_USD' => '115',
'price_GBP' => '100',
'price_JPY' => '16450',
'price_CNY' => '',
'price_AUD' => '288',
'country' => 'ALL',
'except_countries' => 'None',
'quote' => false,
'in_stock' => false,
'featured' => false,
'no_promo' => false,
'online' => true,
'master' => false,
'last_datasheet_update' => '0000-00-00',
'slug' => '5-mc-monoclonal-antibody-33d3-premium-10-ug-5-ul',
'meta_title' => '5-methylcytosine (5-mC) Antibody - clone 33D3 (C15200081-10) | Diagenode',
'meta_keywords' => '',
'meta_description' => '5-methylcytosine (5-mC) Monoclonal Antibody, clone 33D3 validated in MeDIP/MeDIP-seq, DB and IF. Batch-specific data available on the website. Sample size available.',
'modified' => '2022-06-29 13:58:36',
'created' => '2015-06-29 14:08:20',
'locale' => 'zho'
),
'Antibody' => array(
'host' => '*****',
'id' => '631',
'name' => '5-mC monoclonal antibody 33D3 (sample size)',
'description' => '',
'clonality' => '',
'isotype' => 'IgG1',
'lot' => 'RD-006',
'concentration' => '1.1 µg/µl',
'reactivity' => 'Human, mouse, rat, cow, other (wide range): positive',
'type' => 'Monoclonal. <br /><strong>MeDIP grade.</strong><br /><strong>MeDIP-seq grade</strong>.',
'purity' => 'Protein A purified monoclonal antibody.',
'classification' => '',
'application_table' => '<table>
<thead>
<tr>
<th>Applications</th>
<th>Suggested dilution</th>
<th>References</th>
</tr>
</thead>
<tbody>
<tr>
<td>MeDIP/MeDIP-seq <sup>*</sup></td>
<td>0.1 - 2 µg/IP</td>
<td>Fig 1, 2</td>
</tr>
<tr>
<td>Dot Blotting **</td>
<td>1:300</td>
<td>Fig 3</td>
</tr>
<tr>
<td>IF</td>
<td>1:500</td>
<td>Fig 4</td>
</tr>
</tbody>
</table>
<p><small><sup>*</sup> Please note that the optimal antibody amount per IP should be determined by the end-user. We recommend testing 0.1-5 µg per IP.</small></p>
<p><small><sup>**</sup> Dot blot was only performed to demonstrate the specificity. This antibody is not recommended for dot blot on biological samples.</small></p>
<p></p>',
'storage_conditions' => 'Store at -20°C; for long storage, store at -80°C. Avoid multiple freeze-thaw cycles.',
'storage_buffer' => 'PBS containing 0.05% azide.',
'precautions' => 'This product is for research use only. Not for use in diagnostic or therapeutic procedures.',
'uniprot_acc' => '',
'slug' => '5-mc-monoclonal-antibody-33d3-premium-10',
'meta_keywords' => '',
'meta_description' => '',
'modified' => '2023-05-11 15:21:00',
'created' => '2020-12-17 10:31:21',
'select_label' => '631 - 5-mC monoclonal antibody 33D3 (sample size) (RD-006 - 1.1 µg/µl - Human, mouse, rat, cow, other (wide range): positive - Protein A purified monoclonal antibody. - Mouse)'
),
'Slave' => array(),
'Group' => array(
'Group' => array(
'id' => '4',
'name' => 'C15200081',
'product_id' => '1980',
'modified' => '2016-02-17 17:32:42',
'created' => '2016-02-17 17:32:42'
),
'Master' => array(
'id' => '1980',
'antibody_id' => '630',
'name' => '5-methylcytosine (5-mC) Antibody - clone 33D3',
'description' => '<p><span>Monoclonal antibody raised in mouse against </span><b>5-mC</b><span><span> </span>(</span><b>5-methylcytosine</b><span>) conjugated to ovalbumine (</span><b>33D3 clone</b><span>).</span></p>',
'label1' => 'Validation Data',
'info1' => '<div class="row">
<div class="small-12 columns">
<p class="text-center"><img src="https://www.diagenode.com/img/product/antibodies/C15200081_ChIPSeq-A.png" alt="5-mC (5-methylcytosine) Antibody validated in MeDIP-seq" caption="false" width="886" height="173" /></p>
<p class="text-center"><img src="https://www.diagenode.com/img/product/antibodies/C15200081_ChIPSeq-B.png" alt="5-mC (5-methylcytosine) Antibody validated in MeDIP-seq" caption="false" width="886" height="184" /></p>
</div>
</div>
<div class="row">
<div class="small-12 columns">
<p><small><strong>Figure 1. MeDIP-seq with the Diagenode monoclonal antibody directed against 5-mC</strong><br /> Genomic DNA from E14 ES cells was sheared with the Bioruptor® to generate random fragments (size range 300 to 700 bp). One µg of the fragmented DNA was ligated to Illumina adapters and the resulting DNA was used for a standard MeDIP assay, using 2 µg of the Diagenode monoclonal against 5-mC (Cat. No. C15200081). After recovery of the methylated DNA, Illumina sequencing libraries were generated and sequenced on an Illumina Genome Analyzer according to the manufacturer’s instructions. Figure 1A and 1B show Genome browser views of CA simple repeat elements with read distributions specific for 5-mC at 2 gene locations (SigleC15 and Mfsd4). Visual inspection of the peak profiles in a genome browser reveals high enrichment of CA simple repeats in affinity-enriched methylated fragments after MeDIP with the Diagenode 5-mC monoclonal antibody.</small></p>
</div>
</div>
<div class="row">
<div class="small-5 columns">
<p><img src="https://www.diagenode.com/img/product/antibodies/C15200081_medip.png" alt="5-mC (5-methylcytosine) Antibody validated in MeDIP" caption="false" width="355" height="372" /></p>
</div>
<div class="small-7 columns">
<p><small><strong>Figure 2. MeDIP results obtained with the Diagenode monoclonal antibody directed against 5-mC</strong><br /> MeDIP (Methylated DNA immunoprecipitation) was performed on 1 µg fragmented human genomic DNA using 0.2 µg of the Diagenode monoclonal antibody against 5-mC (cat. No. C15200081) and the MagMeDIP Kit (cat. No. C02010021). The fragmented DNA was spiked with the internal controls present in the kit (methylated DNA (meDNA) as a positive and unmethylated DNA (unDNA) as a negative control) prior to performing the IP. QPCR was performed with optimized primer sets, included in the kit, specific for the methylated and unmethylated DNA controls, and for a known methylated (TSH2B) and unmethylated (GAPDH) genomic region. Figure 2 shows the recovery expressed as a % of input (the relative amount of immunoprecipitated DNA compared to input DNA after qPCR analysis).</small></p>
</div>
</div>
<div class="row">
<div class="small-3 columns">
<p><img src="https://www.diagenode.com/img/product/antibodies/C15200081_Dotblot.png" alt=" 5-mC (5-methylcytosine) Antibody validated in dot blot" caption="false" width="201" height="196" /></p>
</div>
<div class="small-9 columns">
<p><small><strong>Figure 3. Dot blot analysis using the Diagenode monoclonal antibody directed against 5-mC</strong><br />To demonstrate the specificity of the Diagenode antibody against 5-mC (cat. No. C15200081), a Dot blot analysis was performed using the hmC, mC and C controls from the Diagenode “5-hmC, 5-mC & cytosine DNA Standard Pack” (cat. No. C02040010). One hundred to 4 ng (equivalent of 5 to 0.2 pmol of C-bases) of the controls were spotted on a membrane. Figure 3 shows a high specificity of the antibody for the methylated control.</small></p>
</div>
</div>
<div class="row">
<div class="small-12 columns"><center><img src="https://www.diagenode.com/img/product/antibodies/C15200081_IF1.png" alt="5-mC (5-methylcytosine) Antibody for immunofluorescence" height="121" width="500" caption="false" /></center></div>
</div>
<div class="row">
<div class="small-12 columns">
<p><small><strong>Figure 4. Immunofluorescence using the Diagenode monoclonal antibody directed against 5-mC</strong><br />HeLa cells were stained with the Diagenode antibody against 5-mC (Cat. No. C15200081) and with DAPI. Cells were fixed with 4% formaldehyde for 10’ and blocked with PBS/TX-100 containing 1% BSA. The cells were immunofluorescently labelled with the 5-mC antibody (middle) diluted 1:500 in blocking solution followed by an anti-mouse antibody conjugated to Alexa594. The left panel shows staining of the nuclei with DAPI. A merge of the two stainings is shown on the right.</small></p>
</div>
</div>
<!--
<div class="row">
<div class="small-12 columns"><center><img src="https://www.diagenode.com/img/product/antibodies/C15200081_SPR.png" alt="5-methylcytosine (5-mC) Antibody" surface="" plasmon="" resonance="" caption="false" width="700" height="372" /></center></div>
</div>
<div class="row">
<div class="small-12 columns">
<p><small><strong>Figure 5. Surface plasmon resonance (SPR) analysis of the the Diagenode monoclonal antibody directed against 5-mC</strong><br />A synthesized biotin-labeled 5-mC conjugate was immobilized on a CM4 BIAcore sensorchip (GE Healthcare, France). Briefly, two flowcells were prepared by sequential injections of EDC/NHS, streptavidin, and ethanolamine. One of these flowcells served as negative control (biotinylated spacer without 5-mC), while biotinylated 5-mC conjugate was injected in the other one, to get an immobilization level of 55 response units (RU). All SPR experiments were performed, using HBS-N buffer (10 mM HEPES,150 mM NaCl, pH 7.4), at a flow rate of 5 µl/min. Interaction assays involved injections of 2 different dilutions of the Diagenode 5-mC monoclonal antibody (Cat. No. C15200081) over the biotinylated 5-mC conjugate and negative control surfaces, followed by a 3 min washing step with HBS-N buffer to allow dissociation of the complexes formed. At the end of each cycle, the streptavidin surface was regenerated by injection of 0.1M citric acid (pH=3).</small></p>
<p><small>The sensorgrams correspond to the biotinylated 5-mC conjugate surface signal subtracted with the negative control. Data from the sensorgrams that reached binding equilibrium were used for Scatchard analysis. The value of the dissociation constant (kd) obtained by global fitting and 1:1 Langmuir model is 65 nM.</small></p>
</div>
</div>-->',
'label2' => '',
'info2' => '',
'label3' => '',
'info3' => '',
'format' => '100 µg',
'catalog_number' => 'C15200081-100',
'old_catalog_number' => 'MAb-081-100',
'sf_code' => 'C15200081-D001-000526',
'type' => 'FRE',
'search_order' => '03-Antibody',
'price_EUR' => '505',
'price_USD' => '575',
'price_GBP' => '450',
'price_JPY' => '79110',
'price_CNY' => '0',
'price_AUD' => '1438',
'country' => 'ALL',
'except_countries' => 'None',
'quote' => false,
'in_stock' => false,
'featured' => false,
'no_promo' => false,
'online' => true,
'master' => true,
'last_datasheet_update' => 'October 27, 2020',
'slug' => '5-mc-monoclonal-antibody-33d3-premium-100-ug-50-ul',
'meta_title' => '5-methylcytosine (5-mC) Antibody - clone 33D3 (C15200081) | Diagenode',
'meta_keywords' => '5-methylcytosine (5-mC),monoclonal antibody,Methylated DNA Immunoprecipitation',
'meta_description' => '5-methylcytosine (5-mC) Monoclonal Antibody, clone 33D3 validated in MeDIP-seq, MeDIP, DB and IF. Batch-specific data available on the website. Sample size available.',
'modified' => '2023-05-17 10:08:33',
'created' => '2015-06-29 14:08:20'
),
'Product' => array(
(int) 0 => array(
[maximum depth reached]
),
(int) 1 => array(
[maximum depth reached]
)
)
),
'Related' => array(
(int) 0 => array(
'id' => '1885',
'antibody_id' => null,
'name' => 'Auto hMeDIP kit x16 (monoclonal mouse antibody)',
'description' => '<p><span>The Auro hMeDIP kit is designed for enrichment of hydroxymethylated DNA from fragmented genomic DNA samples for use in genome-wide methylation analysis. It features</span><span> a highly specific monoclonal antibody against </span><span>5-hydroxymethylcytosine (5-hmC) for the immunoprecipitation of hydroxymethylated DNA</span><span>. It includes control DNA and primers to assess the effiency of the assay. </span><span>Performing hydroxymethylation profiling with the hMeDIP kit is fast, reliable and highly specific.</span></p>',
'label1' => ' Characteristics',
'info1' => '<ul style="list-style-type: disc;">
<li><span>Robust enrichment & immunoprecipitation of hydroxymethylated DNA</span></li>
<li>Highly specific monoclonal antibody against 5-hmC<span> for reliable, reproducible results</span></li>
<li>Including control DNA and primers to <span>monitor the efficiency of the assay</span>
<ul style="list-style-type: circle;">
<li>5-hmC, 5-mC and unmethylated DNA sequences and primer pairs</li>
<li>Mouse primer pairs against Sfi1 targeting hydroxymethylated gene in mouse</li>
</ul>
</li>
</ul>
<ul style="list-style-type: disc;">
<li>Improved single-tube, magnetic bead-based protocol</li>
</ul>',
'label2' => '',
'info2' => '',
'label3' => '',
'info3' => '',
'format' => '16 rxns',
'catalog_number' => 'C02010034',
'old_catalog_number' => '',
'sf_code' => 'C02010034-',
'type' => 'RFR',
'search_order' => '04-undefined',
'price_EUR' => '630',
'price_USD' => '690',
'price_GBP' => '580',
'price_JPY' => '98690',
'price_CNY' => '',
'price_AUD' => '1725',
'country' => 'ALL',
'except_countries' => 'Japan',
'quote' => false,
'in_stock' => false,
'featured' => false,
'no_promo' => false,
'online' => true,
'master' => true,
'last_datasheet_update' => '0000-00-00',
'slug' => 'auto-hmedip-kit-x16-monoclonal-mouse-antibody-16-rxns',
'meta_title' => 'Auto hMeDIP kit x16 (monoclonal mouse antibody)',
'meta_keywords' => '',
'meta_description' => 'Auto hMeDIP kit x16 (monoclonal mouse antibody)',
'modified' => '2021-01-18 10:37:19',
'created' => '2015-06-29 14:08:20',
'ProductsRelated' => array(
[maximum depth reached]
),
'Image' => array(
[maximum depth reached]
)
),
(int) 1 => array(
'id' => '1880',
'antibody_id' => null,
'name' => 'MagMeDIP Kit',
'description' => '<p><a href="https://www.diagenode.com/files/products/kits/magmedip-kit-manual-C02010020-21.pdf"><img src="https://www.diagenode.com/img/buttons/bt-manual.png" /></a></p>
<p> </p>
<div class="small-12 medium-4 large-4 columns"><center></center><center></center><center></center><center><a href="https://www.ncbi.nlm.nih.gov/pubmed/30429608" target="_blank"><img src="https://www.diagenode.com/img/banners/banner-nature-publication-580.png" alt="Click here to read more about MeDIP " caption="false" width="80%" /></a></center></div>
<div class="small-12 medium-8 large-8 columns">
<h3 style="text-align: justify;">Sensitive tumour detection and classification using plasma cell-free DNA methylomes<br /><a href="https://www.ncbi.nlm.nih.gov/pubmed/30429608" target="_blank">Read the publication</a></h3>
<h3 class="c-article-title u-h1" data-test="article-title" itemprop="name headline" style="text-align: justify;">Preparation of cfMeDIP-seq libraries for methylome profiling of plasma cell-free DNA<br /><a href="https://www.nature.com/articles/s41596-019-0202-2" target="_blank" title="cfMeDIP-seq Nature Method">Read the method</a></h3>
</div>
<p></p>
<p></p>
<p></p>
<div class="row">
<div class="small-12 medium-4 large-4 columns"><center>
<script>// <![CDATA[
var date = new Date(); var heure = date.getHours(); var jour = date.getDay(); var semaine = Math.floor(date.getDate() / 7) + 1; if (jour === 2 && ( (heure >= 9 && heure < 9.5) || (heure >= 18 && heure < 18.5) )) { document.write('<a href="https://us02web.zoom.us/j/85467619762"><img src="https://www.diagenode.com/img/epicafe-ON.gif"></a>'); } else { document.write('<a href="https://go.diagenode.com/l/928883/2023-04-26/3kq1v"><img src="https://www.diagenode.com/img/epicafe-OFF.png"></a>'); }
// ]]></script>
</center></div>
<div class="small-12 medium-8 large-8 columns"><br />
<p>Perform <strong>MeDIP</strong> (<strong>Me</strong>thylated <strong>D</strong>NA <strong>I</strong>mmuno<strong>p</strong>recipitation) followed by qPCR or NGS to estimate DNA methylation status of your sample using a highly sensitive 5-methylcytosine antibody. Our MagMeDIP kit contains high quality reagents to get the highest enrichment of methylated DNA with an optimized user-friendly protocol.</p>
</div>
</div>
<h3><span>Features</span></h3>
<ul>
<li>Starting DNA amount: <strong>10 ng – 1 µg</strong></li>
<li>Content: <strong>all reagents included</strong> for DNA extraction, immunoprecipitation (including the 5-mC antibody, spike-in controls and their corresponding qPCR primer pairs) as well as DNA isolation after IP.</li>
<li>Application: <strong>qPCR</strong> and <strong>NGS</strong></li>
<li>Robust method, <strong>superior enrichment</strong>, and easy-to-use protocol</li>
<li><strong>High reproducibility</strong> between replicates and repetitive experiments</li>
<li>Compatible with <strong>all species </strong></li>
</ul>',
'label1' => 'MagMeDIP workflow',
'info1' => '<p>DNA methylation occurs primarily as 5-methylcytosine (5-mC), and the Diagenode MagMeDIP Kit takes advantage of a specific antibody targeting this 5-mC to immunoprecipitate methylated DNA, which can be thereafter directly analyzed by qPCR or Next-Generation Sequencing (NGS).</p>
<h3><span>How it works</span></h3>
<p>In brief, after the cell collection and lysis, the genomic DNA is extracted, sheared, and then denatured. In the next step the antibody directed against 5 methylcytosine and antibody binding beads are used for immunoselection and immunoprecipitation of methylated DNA fragments. Then, the IP’d methylated DNA is isolated and can be used for any subsequent analysis as qPCR, amplification, hybridization on microarrays or next generation sequencing.</p>
<center><img src="https://www.diagenode.com/img/product/kits/MagMeDIP-workflow.png" width="70%" alt="5-methylcytosine" caption="false" /></center>
<script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script>
<script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>',
'label2' => 'MeDIP-qPCR',
'info2' => '<p>The kit MagMeDIP contains all reagents necessary for a complete MeDIP-qPCR workflow. Two MagMeDIP protocols have been validated: for manual processing as well as for automated processing, using the Diagenode’s IP-Star Compact Automated System (please refer to the kit manual).</p>
<ul>
<li><strong>Complete kit</strong> including DNA extraction module, IP antibody and reagents, DNA isolation buffer</li>
<li><strong>Quality control of the IP:</strong> due to methylated and unmethylated DNA spike-in controls and their associated qPCR primers</li>
<li><strong>Easy to use</strong> with user-friendly magnetic beads and rack</li>
<li><strong>Highly validated protocol</strong></li>
<li>Automated protocol supplied</li>
</ul>
<center><img src="https://www.diagenode.com/img/product/kits/fig1-magmedipkit.png" width="85%" alt="Methylated DNA Immunoprecipitation" caption="false" /></center>
<p style="font-size: 0.9em;"><em><strong>Figure 1.</strong> Immunoprecipitation results obtained with Diagenode MagMeDIP Kit</em></p>
<p style="font-size: 0.9em;">MeDIP assays were performed manually using 1 µg or 50 ng gDNA from blood cells with the MagMeDIP kit (Diagenode). The IP was performed with the Methylated and Unmethylated spike-in controls included in the kit, together with the human DNA samples. The DNA was isolated/purified using DIB. Afterwards, qPCR was performed using the primer pairs included in this kit.</p>
<script async="" src="https://edge.fullstory.com/s/fs.js" crossorigin="anonymous"></script>
<script src="chrome-extension://hhojmcideegachlhfgfdhailpfhgknjm/web_accessible_resources/index.js"></script>',
'label3' => 'MeDIP-seq',
'info3' => '<p>For DNA methylation analysis on the whole genome, MagMeDIP kit can be coupled with Next-Generation Sequencing. To perform MeDIP-sequencing we recommend the following strategy:</p>
<ul style="list-style-type: circle;">
<li>Choose a library preparation solution which is compatible with the starting amount of DNA you are planning to use (from 10 ng to 1 μg). It can be a home-made solution or a commercial one.</li>
<li>Choose the indexing system that fits your needs considering the following features:</li>
<ul>
<ul>
<ul>
<li>Single-indexing, combinatorial dual-indexing or unique dual-indexing</li>
<li>Number of barcodes</li>
<li>Full-length adaptors containing the barcodes or barcoding at the final amplification step</li>
<li>Presence / absence of Unique Molecular Identifiers (for PCR duplicates removal)</li>
</ul>
</ul>
</ul>
<li>Standard library preparation protocols are compatible with double-stranded DNA only, therefore the first steps of the library preparation (end repair, A-tailing, adaptor ligation and clean-up) will have to be performed on sheared DNA, before the IP.</li>
</ul>
<p style="padding-left: 30px;"><strong>CAUTION:</strong> As the immunoprecipitation step occurs at the middle of the library preparation workflow, single-tube solutions for library preparation are usually not compatible with MeDIP-sequencing.</p>
<ul style="list-style-type: circle;">
<li>For DNA isolation after the IP, we recommend using the <a href="https://www.diagenode.com/en/p/ipure-kit-v2-x24" title="IPure kit v2">IPure kit v2</a> (available separately, Cat. No. C03010014) instead of DNA isolation Buffer.</li>
</ul>
<ul style="list-style-type: circle;">
<li>Perform library amplification after the DNA isolation following the standard protocol of the chosen library preparation solution.</li>
</ul>
<h3><span>MeDIP-seq workflow</span></h3>
<center><img src="https://www.diagenode.com/img/product/kits/MeDIP-seq-workflow.png" width="110%" alt="MagMeDIP qPCR Kit x10 workflow" caption="false" /></center>
<h3><span>Example of results</span></h3>
<center><img src="https://www.diagenode.com/img/product/kits/medip-specificity.png" alt="MagMeDIP qPCR Kit Result" caption="false" width="951" height="488" /></center>
<p></p>
<p style="font-size: 0.9em;"><strong>Figure 1. qPCR analysis of external spike-in DNA controls (methylated and unmethylated) after IP.</strong> Samples were prepared using 1μg – 100ng -10ng sheared human gDNA with the MagMeDIP kit (Diagenode) and a commercially available library prep kit. DNA isolation after IP has been performed with IPure kit V2 (Diagenode).</p>
<p></p>
<p></p>
<center><img src="https://www.diagenode.com/img/product/kits/medip-saturation-analysis.png" alt=" MagMeDIP kit " caption="false" width="951" height="461" /></center>
<p></p>
<p style="font-size: 0.9em;"><strong>Figure 2. Saturation analysis.</strong> Clean reads were aligned to the human genome (hg19) using Burrows-Wheeler aligner (BWA) algorithm after which duplicated and unmapped reads were removed resulting in a mapping efficiency >98% for all samples. Quality and validity check of the mapped MeDIP-seq data was performed using MEDIPS R package. Saturation plots show that all sets of reads have sufficient complexity and depth to saturate the coverage profile of the reference genome and that this is reproducible between replicates and repetitive experiments (data shown for 50 ng gDNA input: left panel = replicate a, right panel = replicate b).</p>
<p></p>
<p></p>
<center><img src="https://www.diagenode.com/img/product/kits/medip-libraries-prep.png" alt="MagMeDIP x10 " caption="false" width="951" height="708" /></center>
<p></p>
<p style="font-size: 0.9em;"><strong>Figure 3. Sequencing profiles of MeDIP-seq libraries prepared from different starting amounts of sheared gDNA on the positive and negative methylated control regions.</strong> MeDIP-seq libraries were prepared from decreasing starting amounts of gDNA (1 μg (green), 50 ng (red), and 10ng (blue)) originating from human blood with the MagMeDIP kit (Diagenode) and a commercially available library prep kit. DNA isolation after IP has been performed with IPure kit V2 (Diagenode). IP and corresponding INPUT samples were sequenced on Illumina NovaSeq SP with 2x50 PE reads. The reads were mapped to the human genome (hg19) with bwa and the alignments were loaded into IGV (the tracks use an identical scale). The top IGV figure shows the TSH2B (also known as H2BC1) gene (marked by blue boxes in the bottom track) and its surroundings. The TSH2B gene is coding for a histone variant that does not occur in blood cells, and it is known to be silenced by methylation. Accordingly, we see a high coverage in the vicinity of this gene. The bottom IGV figure shows the GADPH locus (marked by blue boxes in the bottom track) and its surroundings. The GADPH gene is a highly active transcription region and should not be methylated, resulting in no reads accumulation following MeDIP-seq experiment.</p>
<p></p>
<ul>
<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>
</ul>
</ul>',
'format' => '48 rxns (IP)',
'catalog_number' => 'C02010021',
'old_catalog_number' => 'mc-magme-048',
'sf_code' => 'C02010021-',
'type' => 'RFR',
'search_order' => '04-undefined',
'price_EUR' => '745',
'price_USD' => '750',
'price_GBP' => '680',
'price_JPY' => '116705',
'price_CNY' => '',
'price_AUD' => '1875',
'country' => 'ALL',
'except_countries' => 'None',
'quote' => false,
'in_stock' => false,
'featured' => true,
'no_promo' => false,
'online' => true,
'master' => true,
'last_datasheet_update' => '0000-00-00',
'slug' => 'magmedip-kit-x48-48-rxns',
'meta_title' => 'MagMeDIP Kit for efficient immunoprecipitation of methylated DNA | Diagenode',
'meta_keywords' => '',
'meta_description' => 'Perform Methylated DNA Immunoprecipitation (MeDIP) to estimate DNA methylation status of your sample using highly specific 5-mC antibody. This kit allows the preparation of cfMeDIP-seq libraries.',
'modified' => '2023-07-06 14:15:10',
'created' => '2015-06-29 14:08:20',
'ProductsRelated' => array(
[maximum depth reached]
),
'Image' => array(
[maximum depth reached]
)
),
(int) 2 => array(
'id' => '1888',
'antibody_id' => null,
'name' => 'Auto MethylCap kit',
'description' => '<p>The Auto MethylCap kit allows to specifically capture DNA fragments containing methylated CpGs. The assay is based on the affinity purification of methylated DNA using methyl-CpG-binding domain (MBD) of human MeCP2 protein. This procedure has been optimized to perform automated immunoprecipitation of chromatin using the <a href="https://www.diagenode.com/en/p/sx-8g-ip-star-compact-automated-system-1-unit">IP-Star® Compact Automated System</a> enabling highly reproducible results and allowing for high throughput.</p>',
'label1' => ' Characteristics',
'info1' => '<ul>
<li><strong>Fast & sensitive capture</strong> of methylated DNA</li>
<li><strong>High capture efficiency</strong></li>
<li><strong>Differential fractionation</strong> of methylated DNA by CpG density (3 eluted fractions)</li>
<li><strong>Automation compatibility</strong><strong></strong>
<h3>MBD-seq allows for detection of genomic regions with different CpG density</h3>
<p><img src="https://www.diagenode.com/img/product/kits/mbd_results1.png" alt="MBD-sequencing results have been validated by bisulfite sequencing" style="display: block; margin-left: auto; margin-right: auto;" /></p>
<p><strong>F</strong><strong>igure 1.</strong><span> </span>Using the MBD approach, two methylated regions were detected in different elution fractions according to their methylated CpG density (A). Low, Medium and High refer to the sequenced DNA from different elution fractions with increasing salt concentration. Methylated patterns of these two different methylated regions were validated by bisulfite conversion assay (B).<br /><strong></strong></p>
</li>
</ul>',
'label2' => '',
'info2' => '',
'label3' => '',
'info3' => '',
'format' => '48 rxns',
'catalog_number' => 'C02020011',
'old_catalog_number' => 'AF-Auto01-0048',
'sf_code' => 'C02020011-',
'type' => 'RFR',
'search_order' => '04-undefined',
'price_EUR' => '740',
'price_USD' => '695',
'price_GBP' => '675',
'price_JPY' => '115920',
'price_CNY' => '',
'price_AUD' => '1738',
'country' => 'ALL',
'except_countries' => 'Japan',
'quote' => false,
'in_stock' => false,
'featured' => false,
'no_promo' => false,
'online' => true,
'master' => true,
'last_datasheet_update' => '0000-00-00',
'slug' => 'auto-methylcap-kit-x48-48-rxns',
'meta_title' => 'Auto MethylCap kit x48',
'meta_keywords' => '',
'meta_description' => 'Auto MethylCap kit x48',
'modified' => '2020-09-17 13:33:12',
'created' => '2015-06-29 14:08:20',
'ProductsRelated' => array(
[maximum depth reached]
),
'Image' => array(
[maximum depth reached]
)
),
(int) 3 => array(
'id' => '1887',
'antibody_id' => null,
'name' => 'MethylCap kit',
'description' => '<p>The MethylCap kit allows to specifically capture DNA fragments containing methylated CpGs. The assay is based on the affinity purification of methylated DNA using methyl-CpG-binding domain (MBD) of human MeCP2 protein. The procedure has been adapted to both manual process or <a href="https://www.diagenode.com/en/p/sx-8g-ip-star-compact-automated-system-1-unit">IP-Star® Compact Automated System</a>. Libraries of captured methylated DNA can be prepared for next-generation sequencing (NGS) by combining MBD technology with the <a href="https://www.diagenode.com/en/p/microplex-lib-prep-kit-v3-48-rxns">MicroPlex Library Preparation Kit v3</a>.</p>',
'label1' => 'Characteristics',
'info1' => '<ul style="list-style-type: circle;">
<li><strong>Fast & sensitive capture</strong> of methylated DNA</li>
<li><strong>High capture efficiency</strong></li>
<li><strong>Differential fractionation</strong> of methylated DNA by CpG density (3 eluted fractions)</li>
<li><strong>On-day protocol</strong></li>
<li><strong>NGS compatibility</strong></li>
</ul>
<h3>MBD-seq allows for detection of genomic regions with different CpG density</h3>
<p><img src="https://www.diagenode.com/img/product/kits/mbd_results1.png" alt="MBD-sequencing results have been validated by bisulfite sequencing" style="display: block; margin-left: auto; margin-right: auto;" /></p>
<p><strong></strong></p>
<p><strong></strong><strong>F</strong><strong>igure 1.</strong> Using the MBD approach, two methylated regions were detected in different elution fractions according to their methylated CpG density (A). Low, Medium and High refer to the sequenced DNA from different elution fractions with increasing salt concentration. Methylated patterns of these two different methylated regions were validated by bisulfite conversion assay (B).</p>',
'label2' => '',
'info2' => '',
'label3' => '',
'info3' => '',
'format' => '48 rxns',
'catalog_number' => 'C02020010',
'old_catalog_number' => 'AF-100-0048',
'sf_code' => 'C02020010-',
'type' => 'RFR',
'search_order' => '04-undefined',
'price_EUR' => '740',
'price_USD' => '695',
'price_GBP' => '675',
'price_JPY' => '115920',
'price_CNY' => '',
'price_AUD' => '1738',
'country' => 'ALL',
'except_countries' => 'None',
'quote' => false,
'in_stock' => false,
'featured' => true,
'no_promo' => false,
'online' => true,
'master' => true,
'last_datasheet_update' => '0000-00-00',
'slug' => 'methylcap-kit-x48-48-rxns',
'meta_title' => 'MethylCap kit x48',
'meta_keywords' => '',
'meta_description' => 'MethylCap kit x48',
'modified' => '2021-02-19 17:55:38',
'created' => '2015-06-29 14:08:20',
'ProductsRelated' => array(
[maximum depth reached]
),
'Image' => array(
[maximum depth reached]
)
),
(int) 4 => array(
'id' => '1892',
'antibody_id' => null,
'name' => 'Premium Bisulfite kit',
'description' => '<p style="text-align: center;"><a href="https://www.diagenode.com/files/products/kits/Premium_Bisulfite_kit_manual.pdf"><img src="https://www.diagenode.com/img/buttons/bt-manual.png" /></a></p>
<p style="text-align: center;"><strong>Make your Bisulfite conversion now in only 60 minutes !</strong></p>
<p>Diagenode's Premium Bisulfite Kit rapidly converts DNA through bisulfite treatment. Our conversion reagent is added directly to DNA, requires no intermediate steps, and results in high yields of DNA ready for downstream analysis methods including PCR and Next-Generation Sequencing.</p>',
'label1' => '',
'info1' => '',
'label2' => '',
'info2' => '',
'label3' => '',
'info3' => '',
'format' => '50 rxns',
'catalog_number' => 'C02030030',
'old_catalog_number' => '',
'sf_code' => 'C02030030-',
'type' => 'REF',
'search_order' => '04-undefined',
'price_EUR' => '255',
'price_USD' => '240',
'price_GBP' => '230',
'price_JPY' => '39945',
'price_CNY' => '',
'price_AUD' => '600',
'country' => 'ALL',
'except_countries' => 'None',
'quote' => false,
'in_stock' => false,
'featured' => true,
'no_promo' => false,
'online' => true,
'master' => true,
'last_datasheet_update' => '0000-00-00',
'slug' => 'premium-bisulfite-kit-50-rxns',
'meta_title' => 'Premium Bisulfite kit',
'meta_keywords' => '',
'meta_description' => 'Premium Bisulfite kit',
'modified' => '2023-04-20 16:13:50',
'created' => '2015-06-29 14:08:20',
'ProductsRelated' => array(
[maximum depth reached]
),
'Image' => array([maximum depth reached])
)
),
'Application' => array(
(int) 0 => array(
'id' => '28',
'position' => '10',
'parent_id' => '40',
'name' => 'DB',
'description' => '<p>Dot blotting</p>',
'in_footer' => false,
'in_menu' => false,
'online' => true,
'tabular' => true,
'slug' => 'dot-blotting',
'meta_keywords' => 'Dot blotting,Monoclonal & Polyclonal antibody,',
'meta_description' => 'Diagenode offers Monoclonal & Polyclonal antibodies for Dot blotting applications',
'meta_title' => 'Dot blotting Antibodies - Monoclonal & Polyclonal antibody | Diagenode',
'modified' => '2016-01-13 14:40:49',
'created' => '2015-07-08 13:45:05',
'ProductsApplication' => array(
[maximum depth reached]
)
),
(int) 1 => array(
'id' => '29',
'position' => '10',
'parent_id' => '40',
'name' => 'IF',
'description' => '<p><strong>Immunofluorescence</strong>:</p>
<p>Diagenode offers huge selection of highly sensitive antibodies validated in IF.</p>
<p><img src="https://www.diagenode.com/img/product/antibodies/C15200229-IF.jpg" alt="" height="245" width="256" /></p>
<p><sup><strong>Immunofluorescence using the Diagenode monoclonal antibody directed against CRISPR/Cas9</strong></sup></p>
<p><sup>HeLa cells transfected with a Cas9 expression vector (left) or untransfected cells (right) were fixed in methanol at -20°C, permeabilized with acetone at -20°C and blocked with PBS containing 2% BSA. The cells were stained with the Cas9 C-terminal antibody (Cat. No. C15200229) diluted 1:400, followed by incubation with an anti-mouse secondary antibody coupled to AF488. The bottom images show counter-staining of the nuclei with Hoechst 33342.</sup></p>
<h5><sup>Check our selection of antibodies validated in IF.</sup></h5>',
'in_footer' => false,
'in_menu' => false,
'online' => true,
'tabular' => true,
'slug' => 'immunofluorescence',
'meta_keywords' => 'Immunofluorescence,Monoclonal antibody,Polyclonal antibody',
'meta_description' => 'Diagenode offers a wide range of antibodies and technical support for Immunofluorescence applications',
'meta_title' => 'Immunofluorescence - Monoclonal antibody - Polyclonal antibody | Diagenode',
'modified' => '2016-04-27 16:23:10',
'created' => '2015-07-08 13:46:02',
'ProductsApplication' => array(
[maximum depth reached]
)
)
),
'Category' => array(
(int) 0 => array(
'id' => '23',
'position' => '40',
'parent_id' => '4',
'name' => 'DNA modifications',
'description' => '<p><span style="font-weight: 400;">T</span><span style="font-weight: 400;">he pattern of <strong>DNA modifications</strong> is critical for genome stability and the control of gene expression in the cell. Methylation of 5-cytosine (5-mC), one of the best-studied epigenetic marks, is carried out by the <strong>DNA methyltransferases</strong> DNMT3A and B and DNMT1. DNMT3A and DNMT3B are responsible for </span><i><span style="font-weight: 400;">de novo</span></i><span style="font-weight: 400;"> DNA methylation, whereas DNMT1 maintains existing methylation. 5-mC undergoes active demethylation which is performed by the <strong>Ten-Eleven Translocation</strong> (TET) familly of DNA hydroxylases. The latter consists of 3 members TET1, 2 and 3. All 3 members catalyze the conversion of <strong>5-methylcytosine</strong> (5-mC) into <strong>5-hydroxymethylcytosine</strong> (5-hmC), and further into <strong>5-formylcytosine</strong> (5-fC) and <strong>5-carboxycytosine</strong> (5-caC). 5-fC and 5-caC can be converted to unmodified cytosine by <strong>Thymine DNA Glycosylase</strong> (TDG). It is not yet clear if 5-hmC, 5-fC and 5-caC have specific functions or are simply intermediates in the demethylation of 5-mC.</span></p>
<p><span style="font-weight: 400;">DNA methylation is generally considered as a repressive mark and is usually associated with gene silencing. It is essential that the balance between DNA methylation and demethylation is precisely maintained. Dysregulation of DNA methylation may lead to many different human diseases and is often observed in cancer cells.</span></p>
<p><span style="font-weight: 400;">Diagenode offers highly validated antibodies against different proteins involved in DNA modifications as well as against the modified bases allowing the study of all steps and intermediates in the DNA methylation/demethylation pathway:</span></p>
<p><img src="https://www.diagenode.com/img/categories/antibodies/dna-methylation.jpg" height="599" width="816" /></p>
<p><strong>Diagenode exclusively sources the original 5-methylcytosine monoclonal antibody (clone 33D3).</strong></p>
<p>Check out the list below to see all proposed antibodies for DNA modifications.</p>
<p>Diagenode’s highly validated antibodies:</p>
<ul>
<li>Highly sensitive and specific</li>
<li>Cost-effective (requires less antibody per reaction)</li>
<li>Batch-specific data is available on the website</li>
<li>Expert technical support</li>
<li>Sample sizes available</li>
<li>100% satisfaction guarantee</li>
</ul>',
'no_promo' => false,
'in_menu' => true,
'online' => true,
'tabular' => false,
'hide' => true,
'all_format' => false,
'is_antibody' => true,
'slug' => 'dna-methylation-antibody',
'cookies_tag_id' => null,
'meta_keywords' => 'Monoclonal Antibodies,Polyclonal antibodies,DNA methylation,Diagenode',
'meta_description' => 'Diagenode offers Monoclonal and Polyclonal antibodies for DNA Methylation. The pattern of DNA modifications is critical for genome stability and the control of gene expression in the cell. ',
'meta_title' => 'DNA modifications - Monoclonal and Polyclonal Antibodies for DNA Methylation | Diagenode',
'modified' => '2020-08-03 15:25:37',
'created' => '2014-07-31 03:51:53',
'ProductsCategory' => array(
[maximum depth reached]
),
'CookiesTag' => array([maximum depth reached])
),
(int) 1 => array(
'id' => '102',
'position' => '1',
'parent_id' => '4',
'name' => 'Sample size antibodies',
'description' => '<h1><strong>Validated epigenetics antibodies</strong> – care for a sample?<br /> </h1>
<p>Diagenode has partnered with leading epigenetics experts and numerous epigenetics consortiums to bring to you a validated and comprehensive collection of epigenetic antibodies. As an expert in epigenetics, we are committed to offering highly-specific antibodies validated for ChIP/ChIP-seq and many other applications. All batch-specific validation data is available on our website.<br /><a href="../categories/antibodies">Read about our expertise in antibody production</a>.</p>
<ul>
<li><strong>Focused</strong> - Diagenode's selection of antibodies is exclusively dedicated for epigenetic research. <a title="See the full collection." href="../categories/all-antibodies">See the full collection.</a></li>
<li><strong>Strict quality standards</strong> with rigorous QC and validation</li>
<li><strong>Classified</strong> based on level of validation for flexibility of application</li>
</ul>
<p>Existing sample sizes are listed below. We will soon expand our collection. Are you looking for a sample size of another antibody? Just <a href="mailto:agnieszka.zelisko@diagenode.com?Subject=Sample%20Size%20Request" target="_top">Contact us</a>.</p>',
'no_promo' => false,
'in_menu' => true,
'online' => true,
'tabular' => false,
'hide' => true,
'all_format' => true,
'is_antibody' => true,
'slug' => 'sample-size-antibodies',
'cookies_tag_id' => null,
'meta_keywords' => '5-hmC monoclonal antibody,CRISPR/Cas9 polyclonal antibody ,H3K36me3 polyclonal antibody,diagenode',
'meta_description' => 'Diagenode offers sample volume on selected antibodies for researchers to test, validate and provide confidence and flexibility in choosing from our wide range of antibodies ',
'meta_title' => 'Sample-size Antibodies | Diagenode',
'modified' => '2019-07-03 10:57:05',
'created' => '2015-10-27 12:13:34',
'ProductsCategory' => array(
[maximum depth reached]
),
'CookiesTag' => array([maximum depth reached])
),
(int) 2 => array(
'id' => '103',
'position' => '0',
'parent_id' => '4',
'name' => 'All antibodies',
'description' => '<p><span style="font-weight: 400;">All Diagenode’s antibodies are listed below. Please, use our Quick search field to find the antibody of interest by target name, application, purity.</span></p>
<p><span style="font-weight: 400;">Diagenode’s highly validated antibodies:</span></p>
<ul>
<li>Highly sensitive and specific</li>
<li>Cost-effective (requires less antibody per reaction)</li>
<li>Batch-specific data is available on the website</li>
<li>Expert technical support</li>
<li>Sample sizes available</li>
<li>100% satisfaction guarantee</li>
</ul>',
'no_promo' => false,
'in_menu' => true,
'online' => true,
'tabular' => false,
'hide' => true,
'all_format' => false,
'is_antibody' => true,
'slug' => 'all-antibodies',
'cookies_tag_id' => null,
'meta_keywords' => 'Antibodies,Premium Antibodies,Classic,Pioneer',
'meta_description' => 'Diagenode Offers Strict quality standards with Rigorous QC and validated Antibodies. Classified based on level of validation for flexibility of Application. Comprehensive selection of histone and non-histone Antibodies',
'meta_title' => 'Diagenode's selection of Antibodies is exclusively dedicated for Epigenetic Research | Diagenode',
'modified' => '2019-07-03 10:55:44',
'created' => '2015-11-02 14:49:22',
'ProductsCategory' => array(
[maximum depth reached]
),
'CookiesTag' => array([maximum depth reached])
)
),
'Document' => array(
(int) 0 => array(
'id' => '15',
'name' => 'Monoclonal Antibody hMeDIP Kit for DNA Hydroxymethylation Studies',
'description' => '<p><span>There is substantial interest and speculation in the role of the “sixth DNA base,” 5-hydroxymethylcytosine (5-hmC), although its precise function has not yet been elucidated. Since its discovery in neuronal Purkinje, granule and ES cells, studies of this new modified DNA base have been limited by the lack of high-quality, validated tools and technologies that discriminate hydroxy-methylation from methylation in regulating genome expression. Obtaining a specific assay for 5-hmC is particularly important since standard bisulfite sequencing cannot distinguish between these two types of methylation. </span></p>',
'image_id' => null,
'type' => 'Poster',
'url' => 'files/posters/Monoclonal_Antibody_hMeDIP_Kit_for_DNA_Hydroxymethylation_Studies_Poster.pdf',
'slug' => 'monoclonal-antibody-hmedip-kit-for-dna-hydroxymethylation-studies-poster',
'meta_keywords' => '',
'meta_description' => '',
'modified' => '2015-09-29 13:42:52',
'created' => '2015-07-03 16:05:15',
'ProductsDocument' => array(
[maximum depth reached]
)
),
(int) 1 => array(
'id' => '11',
'name' => 'Antibodies you can trust',
'description' => '<p style="text-align: justify;"><span>Epigenetic research tools have evolved over time from endpoint PCR to qPCR to the analyses of large sets of genome-wide sequencing data. ChIP sequencing (ChIP-seq) has now become the gold standard method for chromatin studies, given the accuracy and coverage scale of the approach over other methods. Successful ChIP-seq, however, requires a higher level of experimental accuracy and consistency in all steps of ChIP than ever before. Particularly crucial is the quality of ChIP antibodies. </span></p>',
'image_id' => null,
'type' => 'Poster',
'url' => 'files/posters/Antibodies_you_can_trust_Poster.pdf',
'slug' => 'antibodies-you-can-trust-poster',
'meta_keywords' => '',
'meta_description' => '',
'modified' => '2015-10-01 20:18:31',
'created' => '2015-07-03 16:05:15',
'ProductsDocument' => array(
[maximum depth reached]
)
),
(int) 2 => array(
'id' => '38',
'name' => 'Epigenetic Antibodies Brochure',
'description' => '<p>More than in any other immuoprecipitation assays, quality antibodies are critical tools in many epigenetics experiments. Since 10 years, Diagenode has developed the most stringent quality production available on the market for antibodies exclusively focused on epigenetic uses. All our antibodies have been qualified to work in epigenetic applications.</p>',
'image_id' => null,
'type' => 'Brochure',
'url' => 'files/brochures/Epigenetic_Antibodies_Brochure.pdf',
'slug' => 'epigenetic-antibodies-brochure',
'meta_keywords' => '',
'meta_description' => '',
'modified' => '2016-06-15 11:24:06',
'created' => '2015-07-03 16:05:27',
'ProductsDocument' => array(
[maximum depth reached]
)
),
(int) 3 => array(
'id' => '1118',
'name' => 'Datasheet 5-mC33D3 C15200081-10',
'description' => '<p><span>The 5-methylcytosine antibody (clone 33D3) is the most published and widely used antibody for DNA methylation analysis. It has been validated for Methylated DNA Immunoprecipitation (MeDIP-seq, MeDIP-on-chip), Immunofluorescence and Dot blot. </span></p>',
'image_id' => null,
'type' => 'Datasheet',
'url' => 'files/products/antibodies/Datasheet_5-mC33D3_C15200081-10.pdf',
'slug' => 'datasheet-5-mc33d3-c15200081-10',
'meta_keywords' => '',
'meta_description' => '',
'modified' => '2020-12-17 10:55:09',
'created' => '2020-12-17 10:55:09',
'ProductsDocument' => array(
[maximum depth reached]
)
)
),
'Feature' => array(),
'Image' => array(
(int) 0 => array(
'id' => '250',
'name' => 'product/antibodies/antibody.png',
'alt' => 'Mouse IgG',
'modified' => '2020-11-27 07:00:09',
'created' => '2015-07-17 10:12:18',
'ProductsImage' => array(
[maximum depth reached]
)
)
),
'Promotion' => array(),
'Protocol' => array(),
'Publication' => array(
(int) 0 => array(
'id' => '4843',
'name' => 'Differentiation block in acute myeloid leukemia regulated by intronicsequences of FTO',
'authors' => 'Camera F. et al.',
'description' => '<p>Iroquois transcription factor gene IRX3 is highly expressed in 20–30\% of acute myeloid leukemia (AML) and contributes to the pathognomonic differentiation block. Intron 8 FTO sequences ∼220kB downstream of IRX3 exhibit histone acetylation, DNA methylation, and contacts with the IRX3 promoter, which correlate with IRX3 expression. Deletion of these intronic elements confirms a role in positively regulating IRX3. RNAseq revealed long non-coding (lnc) transcripts arising from this locus. FTO-lncAML knockdown (KD) induced differentiation of AML cells, loss of clonogenic activity, and reduced FTO intron 8:IRX3 promoter contacts. While both FTO-lncAML KD and IRX3 KD induced differentiation, FTO-lncAML but not IRX3 KD led to HOXA downregulation suggesting transcript activity in trans. FTO-lncAMLhigh AML samples expressed higher levels of HOXA and lower levels of differentiation genes. Thus, a regulatory module in FTO intron 8 consisting of clustered enhancer elements and a long non-coding RNA is active in human AML, impeding myeloid differentiation.</p>',
'date' => '2023-08-01',
'pmid' => 'https://www.sciencedirect.com/science/article/pii/S2589004223013962',
'doi' => '10.1016/j.isci.2023.107319',
'modified' => '2023-08-01 14:14:01',
'created' => '2023-08-01 15:59:38',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 1 => array(
'id' => '4796',
'name' => 'Nicotinamide N-methyltransferase sustains a core epigenetic programthat promotes metastatic colonization in breast cancer.',
'authors' => 'Couto J.P. et al.',
'description' => '<p><span>Metastatic colonization of distant organs accounts for over 90% of deaths related to solid cancers, yet the molecular determinants of metastasis remain poorly understood. Here, we unveil a mechanism of colonization in the aggressive basal-like subtype of breast cancer that is driven by the NAD</span><sup>+</sup><span><span> </span>metabolic enzyme nicotinamide N-methyltransferase (NNMT). We demonstrate that NNMT imprints a basal genetic program into cancer cells, enhancing their plasticity. In line, NNMT expression is associated with poor clinical outcomes in patients with breast cancer. Accordingly, ablation of NNMT dramatically suppresses metastasis formation in pre-clinical mouse models. Mechanistically, NNMT depletion results in a methyl overflow that increases histone H3K9 trimethylation (H3K9me3) and DNA methylation at the promoters of PR/SET Domain-5 (PRDM5) and extracellular matrix-related genes. PRDM5 emerged in this study as a pro-metastatic gene acting via induction of cancer-cell intrinsic transcription of collagens. Depletion of PRDM5 in tumor cells decreases COL1A1 deposition and impairs metastatic colonization of the lungs. These findings reveal a critical activity of the NNMT-PRDM5-COL1A1 axis for cancer cell plasticity and metastasis in basal-like breast cancer.</span></p>',
'date' => '2023-06-01',
'pmid' => 'https://www.ncbi.nlm.nih.gov/pubmed/37259596',
'doi' => '10.15252/embj.2022112559',
'modified' => '2023-06-15 08:35:19',
'created' => '2023-06-13 21:11:31',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 2 => array(
'id' => '4787',
'name' => 'The Effect of Metformin and Carbohydrate-Controlled Diet onDNA Methylation and Gene Expression in the Endometrium of Womenwith Polycystic Ovary Syndrome.',
'authors' => 'Garcia-Gomez E. et al.',
'description' => '<p>Polycystic ovary syndrome (PCOS) is an endocrine disease associated with infertility and metabolic disorders in reproductive-aged women. In this study, we evaluated the expression of eight genes related to endometrial function and their DNA methylation levels in the endometrium of PCOS patients and women without the disease (control group). In addition, eight of the PCOS patients underwent intervention with metformin (1500 mg/day) and a carbohydrate-controlled diet (type and quantity) for three months. Clinical and metabolic parameters were determined, and RT-qPCR and MeDIP-qPCR were used to evaluate gene expression and DNA methylation levels, respectively. Decreased expression levels of , , and genes and increased DNA methylation levels of the promoter were found in the endometrium of PCOS patients compared to controls. After metformin and nutritional intervention, some metabolic and clinical variables improved in PCOS patients. This intervention was associated with increased expression of , , and genes and reduced DNA methylation levels of the promoter in the endometrium of PCOS women. Our preliminary findings suggest that metformin and a carbohydrate-controlled diet improve endometrial function in PCOS patients, partly by modulating DNA methylation of the gene promoter and the expression of genes implicated in endometrial receptivity and insulin signaling.</p>',
'date' => '2023-04-01',
'pmid' => 'https://doi.org/10.3390%2Fijms24076857',
'doi' => '10.3390/ijms24076857',
'modified' => '2023-06-12 08:58:33',
'created' => '2023-05-05 12:34:24',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 3 => array(
'id' => '4777',
'name' => 'Epigenetic modifier alpha-ketoglutarate modulates aberrant gene bodymethylation and hydroxymethylation marks in diabetic heart.',
'authors' => 'Dhat R. et al.',
'description' => '<p>BACKGROUND: Diabetic cardiomyopathy (DCM) is a leading cause of death in diabetic patients. Hyperglycemic myocardial microenvironment significantly alters chromatin architecture and the transcriptome, resulting in aberrant activation of signaling pathways in a diabetic heart. Epigenetic marks play vital roles in transcriptional reprogramming during the development of DCM. The current study is aimed to profile genome-wide DNA (hydroxy)methylation patterns in the hearts of control and streptozotocin (STZ)-induced diabetic rats and decipher the effect of modulation of DNA methylation by alpha-ketoglutarate (AKG), a TET enzyme cofactor, on the progression of DCM. METHODS: Diabetes was induced in male adult Wistar rats with an intraperitoneal injection of STZ. Diabetic and vehicle control animals were randomly divided into groups with/without AKG treatment. Cardiac function was monitored by performing cardiac catheterization. Global methylation (5mC) and hydroxymethylation (5hmC) patterns were mapped in the Left ventricular tissue of control and diabetic rats with the help of an enrichment-based (h)MEDIP-sequencing technique by using antibodies specific for 5mC and 5hmC. Sequencing data were validated by performing (h)MEDIP-qPCR analysis at the gene-specific level, and gene expression was analyzed by qPCR. The mRNA and protein expression of enzymes involved in the DNA methylation and demethylation cycle were analyzed by qPCR and western blotting. Global 5mC and 5hmC levels were also assessed in high glucose-treated DNMT3B knockdown H9c2 cells. RESULTS: We found the increased expression of DNMT3B, MBD2, and MeCP2 with a concomitant accumulation of 5mC and 5hmC, specifically in gene body regions of diabetic rat hearts compared to the control. Calcium signaling was the most significantly affected pathway by cytosine modifications in the diabetic heart. Additionally, hypermethylated gene body regions were associated with Rap1, apelin, and phosphatidyl inositol signaling, while metabolic pathways were most affected by hyperhydroxymethylation. AKG supplementation in diabetic rats reversed aberrant methylation patterns and restored cardiac function. Hyperglycemia also increased 5mC and 5hmC levels in H9c2 cells, which was normalized by DNMT3B knockdown or AKG supplementation. CONCLUSION: This study demonstrates that reverting hyperglycemic damage to cardiac tissue might be possible by erasing adverse epigenetic signatures by supplementing epigenetic modulators such as AKG along with an existing antidiabetic treatment regimen.</p>',
'date' => '2023-04-01',
'pmid' => 'https://www.ncbi.nlm.nih.gov/pubmed/37101286',
'doi' => '10.1186/s13072-023-00489-4',
'modified' => '2023-06-12 09:20:54',
'created' => '2023-05-05 12:34:24',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 4 => array(
'id' => '4780',
'name' => 'Integrated analysis from multicentre studies identities RNAmethylation- related lncRNA risk stratification systems for glioma',
'authors' => 'Huang Fanxuan and Wang Xinyu and Zhong Junzhe and Chen Hao and Song Dan and Xu Tianye and Tian Kaifu and Sun Penggang and Sun Nan and Ma Wenbin and Liu Yuxiang andYu Daohan and Meng Xiangqi and Jiang Chuanlu and Xuan Hanwen and Qian Da an',
'description' => '<p>Gastric cancer (GC) is the fourth leading cause of cancer death worldwide. Due to the lack of effective chemotherapy methods for advanced gastric cancer and poor prognosis, the emergence of immunotherapy has brought new hope to gastric cancer. Further research is needed to improve the response rate to immunotherapy and identify the populations with potential benefits of immunotherapy. It is unclear whether m7G-related lncRNAs influence tumour immunity and the prognosis of immunotherapy.</p>',
'date' => '2023-03-02',
'pmid' => 'https://doi.org/10.21203%2Frs.3.rs-2815231%2Fv1',
'doi' => '10.21203/rs.3.rs-2815231/v1',
'modified' => '2023-06-13 09:25:12',
'created' => '2023-05-05 12:34:24',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 5 => array(
'id' => '4773',
'name' => 'The RNA m5C Methylase NSUN2 Modulates Corneal EpithelialWound Healing.',
'authors' => 'Luo G. et al.',
'description' => '<p>PURPOSE: The emerging epitranscriptomics offers insights into the physiopathological roles of various RNA modifications. The RNA methylase NOP2/Sun domain family member 2 (NSUN2) catalyzes 5-methylcytosine (m5C) modification of mRNAs. However, the role of NSUN2 in corneal epithelial wound healing (CEWH) remains unknown. Here we describe the functional mechanisms of NSUN2 in mediating CEWH. METHODS: RT-qPCR, Western blot, dot blot, and ELISA were used to determine the NSUN2 expression and overall RNA m5C level during CEWH. NSUN2 silencing or overexpression was performed to explore its involvement in CEWH both in vivo and in vitro. Multi-omics was integrated to reveal the downstream target of NSUN2. MeRIP-qPCR, RIP-qPCR, and luciferase assay, as well as in vivo and in vitro functional assays, clarified the molecular mechanism of NSUN2 in CEWH. RESULTS: The NSUN2 expression and RNA m5C level increased significantly during CEWH. NSUN2 knockdown significantly delayed CEWH in vivo and inhibited human corneal epithelial cells (HCEC) proliferation and migration in vitro, whereas NSUN2 overexpression prominently enhanced HCEC proliferation and migration. Mechanistically, we found that NSUN2 increased ubiquitin-like containing PHD and RING finger domains 1 (UHRF1) translation through the binding of RNA m5C reader Aly/REF export factor. Accordingly, UHRF1 knockdown significantly delayed CEWH in vivo and inhibited HCEC proliferation and migration in vitro. Furthermore, UHRF1 overexpression effectively rescued the inhibitory effect of NSUN2 silencing on HCEC proliferation and migration. CONCLUSIONS: NSUN2-mediated m5C modification of UHRF1 mRNA modulates CEWH. This finding highlights the critical importance of this novel epitranscriptomic mechanism in control of CEWH.</p>',
'date' => '2023-03-01',
'pmid' => 'https://www.ncbi.nlm.nih.gov/pubmed/36862118',
'doi' => '10.1167/iovs.64.3.5',
'modified' => '2023-04-17 09:48:55',
'created' => '2023-04-14 13:41:22',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 6 => array(
'id' => '4674',
'name' => 'Methylation and expression of glucocorticoid receptor exon-1 variants andFKBP5 in teenage suicide-completers.',
'authors' => 'Rizavi H. et al.',
'description' => '<p>A dysregulated hypothalamic-pituitary-adrenal (HPA) axis has repeatedly been demonstrated to play a fundamental role in psychiatric disorders and suicide, yet the mechanisms underlying this dysregulation are not clear. Decreased expression of the glucocorticoid receptor (GR) gene, which is also susceptible to epigenetic modulation, is a strong indicator of impaired HPA axis control. In the context of teenage suicide-completers, we have systematically analyzed the 5'UTR of the GR gene to determine the expression levels of all GR exon-1 transcript variants and their epigenetic state. We also measured the expression and the epigenetic state of the FK506-binding protein 51 (FKBP5/FKBP51), an important modulator of GR activity. Furthermore, steady-state DNA methylation levels depend upon the interplay between enzymes that promote DNA methylation and demethylation activities, thus we analyzed DNA methyltransferases (DNMTs), ten-eleven translocation enzymes (TETs), and growth arrest- and DNA-damage-inducible proteins (GADD45). Focusing on both the prefrontal cortex (PFC) and hippocampus, our results show decreased expression in specific GR exon-1 variants and a strong correlation of DNA methylation changes with gene expression in the PFC. FKBP5 expression is also increased in both areas suggesting a decreased GR sensitivity to cortisol binding. We also identified aberrant expression of DNA methylating and demethylating enzymes in both brain regions. These findings enhance our understanding of the complex transcriptional regulation of GR, providing evidence of epigenetically mediated reprogramming of the GR gene, which could lead to possible epigenetic influences that result in lasting modifications underlying an individual's overall HPA axis response and resilience to stress.</p>',
'date' => '2023-02-01',
'pmid' => 'https://www.ncbi.nlm.nih.gov/pubmed/36781843',
'doi' => '10.1038/s41398-023-02345-1',
'modified' => '2023-04-14 09:26:37',
'created' => '2023-02-28 12:19:11',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 7 => array(
'id' => '4675',
'name' => 'Bridging biological cfDNA features and machine learning approaches.',
'authors' => 'Moser T. et al.',
'description' => '<p>Liquid biopsies (LBs), particularly using circulating tumor DNA (ctDNA), are expected to revolutionize precision oncology and blood-based cancer screening. Recent technological improvements, in combination with the ever-growing understanding of cell-free DNA (cfDNA) biology, are enabling the detection of tumor-specific changes with extremely high resolution and new analysis concepts beyond genetic alterations, including methylomics, fragmentomics, and nucleosomics. The interrogation of a large number of markers and the high complexity of data render traditional correlation methods insufficient. In this regard, machine learning (ML) algorithms are increasingly being used to decipher disease- and tissue-specific signals from cfDNA. Here, we review recent insights into biological ctDNA features and how these are incorporated into sophisticated ML applications.</p>',
'date' => '2023-02-01',
'pmid' => 'https://www.ncbi.nlm.nih.gov/pubmed/36792446',
'doi' => '10.1016/j.tig.2023.01.004',
'modified' => '2023-04-14 09:28:00',
'created' => '2023-02-28 12:19:11',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 8 => array(
'id' => '4823',
'name' => 'Gene body DNA hydroxymethylation restricts the magnitude oftranscriptional changes during aging.',
'authors' => 'Occean J. R. et al.',
'description' => '<p>DNA hydroxymethylation (5hmC) is the most abundant oxidative derivative of DNA methylation (5mC) and is typically enriched at enhancers and gene bodies of transcriptionally active and tissue-specific genes. Although aberrant genomic 5hmC has been implicated in many age-related diseases, the functional role of the modification in aging remains largely unknown. Here, we report that 5hmC is stably enriched in multiple aged organs. Using the liver and cerebellum as model organs, we show that 5hmC accumulates in gene bodies associated with tissue-specific function and thereby restricts the magnitude of gene expression changes during aging. Mechanistically, we found that 5hmC decreases binding affinity of splicing factors compared to unmodified cytosine and 5mC, and is correlated with age-related alternative splicing events, suggesting RNA splicing as a potential mediator of 5hmC’s transcriptionally restrictive function. Furthermore, we show that various age-related contexts, such as prolonged quiescence and senescence, are partially responsible for driving the accumulation of 5hmC with age. We provide evidence that this age-related function is conserved in mouse and human tissues, and further show that the modification is altered by regimens known to modulate lifespan. Our findings reveal that 5hmC is a regulator of tissue-specific function and may play a role in regulating longevity.</p>',
'date' => '2023-02-01',
'pmid' => 'https://www.ncbi.nlm.nih.gov/pubmed/36824863',
'doi' => '10.1101/2023.02.15.528714',
'modified' => '2023-06-14 08:39:26',
'created' => '2023-06-13 22:16:30',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 9 => array(
'id' => '4631',
'name' => 'Consistent DNA Hypomethylations in Prostate Cancer.',
'authors' => 'Araúzo-Bravo M.J. et al.',
'description' => '<p>With approximately 1.4 million men annually diagnosed with prostate cancer (PCa) worldwide, PCa remains a dreaded threat to life and source of devastating morbidity. In recent decades, a significant decrease in age-specific PCa mortality has been achieved by increasing prostate-specific antigen (PSA) screening and improving treatments. Nevertheless, upcoming, augmented recommendations against PSA screening underline an escalating disproportion between the benefit and harm of current diagnosis/prognosis and application of radical treatment standards. Undoubtedly, new potent diagnostic and prognostic tools are urgently needed to alleviate this tensed situation. They should allow a more reliable early assessment of the upcoming threat, in order to enable applying timely adjusted and personalized therapy and monitoring. Here, we present a basic study on an epigenetic screening approach by Methylated DNA Immunoprecipitation (MeDIP). We identified genes associated with hypomethylated CpG islands in three PCa sample cohorts. By adjusting our computational biology analyses to focus on single CpG-enriched 60-nucleotide-long DNA probes, we revealed numerous consistently differential methylated DNA segments in PCa. They were associated among other genes with and . These can be used for early discrimination, and might contribute to a new epigenetic tumor classification system of PCa. Our analysis shows that we can dissect short, differential methylated CpG-rich DNA fragments and combinations of them that are consistently present in all tumors. We name them tumor cell-specific differential methylated CpG dinucleotide signatures (TUMS).</p>',
'date' => '2022-12-01',
'pmid' => 'https://www.ncbi.nlm.nih.gov/pubmed/36613831',
'doi' => '10.3390/ijms24010386',
'modified' => '2023-03-28 09:03:47',
'created' => '2023-02-21 09:59:46',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 10 => array(
'id' => '4534',
'name' => 'RNA 5-Methylcytosine Modification Regulates VegetativeDevelopment Associated with H3K27 Trimethylation inArabidopsis.',
'authors' => 'Zhang D.et al.',
'description' => '<p>Methylating RNA post-transcriptionally is emerging as a significant mechanism of gene regulation in eukaryotes. The crosstalk between RNA methylation and histone modification is critical for chromatin state and gene expression in mammals. However, it is not well understood mechanistically in plants. Here, the authors report a genome-wide correlation between RNA 5-cytosine methylation (m C) and histone 3 lysine27 trimethylation (H3K27me3) in Arabidopsis. The plant-specific Polycomb group (PcG) protein EMBRYONIC FLOWER1 (EMF1) plays dual roles as activators or repressors. Transcriptome-wide RNA m C profiling revealed that m C peaks are mostly enriched in chromatin regions that lacked H3K27me3 in both wild type and emf1 mutants. EMF1 repressed the expression of m C methyltransferase tRNA specific methyltransferase 4B (TRM4B) through H3K4me3, independent of PcG-mediated H3K27me3 mechanism. The 5-Cytosine methylation on targets is increased in emf1 mutants, thereby decreased the mRNA transcripts of photosynthesis and chloroplast genes. In addition, impairing EMF1 activity reduced H3K27me3 levels of PcG targets, such as starch genes, which are de-repressed in emf1 mutants. Both EMF1-mediated promotion and repression of gene activities via m C and H3K27me3 are required for normal vegetative growth. Collectively, t study reveals a previously undescribed epigenetic mechanism of RNA m C modifications and histone modifications to regulate gene expression in eukaryotes.</p>',
'date' => '2022-11-01',
'pmid' => 'https://www.ncbi.nlm.nih.gov/pubmed/36382558',
'doi' => '10.1002/advs.202204885',
'modified' => '2022-11-24 08:57:31',
'created' => '2022-11-24 08:49:52',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 11 => array(
'id' => '4541',
'name' => 'Cardiac epigenetic changes in VEGF signaling genes associates with myocardial microvascular rarefaction in experimental chronic kidney disease.',
'authors' => 'Eirin Alfonso and Chade Alejandro R',
'description' => '<p>BACKGROUND: Chronic kidney disease (CKD) is common in patients with heart failure, and often results in left ventricular diastolic dysfunction (LVDD). However, the mechanisms responsible for cardiac damage in CKD-LVDD remain to be elucidated. Epigenetic alterations may impose long-lasting effects on cellular transcription and function, but their exact role in CKD-LVDD is unknown. We investigate whether changes in cardiac site-specific DNA methylation profiles might be implicated in cardiac abnormalities in CKD-LVDD. METHODS: CKD-LVDD and normal control pigs (n=6 each) were studied for 14 weeks. Renal and cardiac hemodynamics were quantified by multidetector CT and echocardiography. In randomly selected pigs (n=3/group), cardiac site-specific 5-methylcytosine (5mC) immunoprecipitation (MeDIP)- and mRNA-sequencing (seq) was performed, followed by integrated (MeDiP-seq/mRNA-seq analysis), and confirmatory ex vivo studies. RESULTS: MeDIP-seq analysis revealed 261 genes with higher (fold-change>1.4; p<0.05) and 162 genes with lower (fold-change<0.7; p<0.05) 5mC levels in CKD-LVDD versus normal pigs, which were primarily implicated in vascular endothelial growth factor (VEGF)-related signaling and angiogenesis. Integrated MeDiP-seq/mRNA-seq analysis identified a select group of VEGF-related genes in which 5mC levels were higher, but mRNA expression lower in CKD-LVDD versus normal pigs. Cardiac VEGF signaling gene and VEGF protein expression was blunted in CKD-LVDD compared to controls and associated with decreased subendocardial microvascular density. CONCLUSIONS: Cardiac epigenetic changes in VEGF-related genes are associated with impaired angiogenesis and cardiac microvascular rarefaction in swine CKD-LVDD. These observations may assist in developing novel therapies to ameliorate cardiac damage in CKD-LVDD.</p>',
'date' => '2022-11-01',
'pmid' => 'https://pubmed.ncbi.nlm.nih.gov/36367693/',
'doi' => '10.1152/ajpheart.00522.2022',
'modified' => '2022-11-25 09:03:31',
'created' => '2022-11-24 08:49:52',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 12 => array(
'id' => '4511',
'name' => 'The Arabidopsis APOLO and human UPAT sequence-unrelated longnoncoding RNAs can modulate DNA and histone methylation machineries inplants.',
'authors' => 'Fonouni-Farde C. et al.',
'description' => '<p>BACKGROUND: RNA-DNA hybrid (R-loop)-associated long noncoding RNAs (lncRNAs), including the Arabidopsis lncRNA AUXIN-REGULATED PROMOTER LOOP (APOLO), are emerging as important regulators of three-dimensional chromatin conformation and gene transcriptional activity. RESULTS: Here, we show that in addition to the PRC1-component LIKE HETEROCHROMATIN PROTEIN 1 (LHP1), APOLO interacts with the methylcytosine-binding protein VARIANT IN METHYLATION 1 (VIM1), a conserved homolog of the mammalian DNA methylation regulator UBIQUITIN-LIKE CONTAINING PHD AND RING FINGER DOMAINS 1 (UHRF1). The APOLO-VIM1-LHP1 complex directly regulates the transcription of the auxin biosynthesis gene YUCCA2 by dynamically determining DNA methylation and H3K27me3 deposition over its promoter during the plant thermomorphogenic response. Strikingly, we demonstrate that the lncRNA UHRF1 Protein Associated Transcript (UPAT), a direct interactor of UHRF1 in humans, can be recognized by VIM1 and LHP1 in plant cells, despite the lack of sequence homology between UPAT and APOLO. In addition, we show that increased levels of APOLO or UPAT hamper VIM1 and LHP1 binding to YUCCA2 promoter and globally alter the Arabidopsis transcriptome in a similar manner. CONCLUSIONS: Collectively, our results uncover a new mechanism in which a plant lncRNA coordinates Polycomb action and DNA methylation through the interaction with VIM1, and indicates that evolutionary unrelated lncRNAs with potentially conserved structures may exert similar functions by interacting with homolog partners.</p>',
'date' => '2022-08-01',
'pmid' => 'https://www.ncbi.nlm.nih.gov/pubmed/36038910',
'doi' => '10.1186/s13059-022-02750-7',
'modified' => '2022-11-21 10:43:16',
'created' => '2022-11-15 09:26:20',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 13 => array(
'id' => '4438',
'name' => 'A genome-wide screen reveals new regulators of the 2-cell-like cell state',
'authors' => 'Defossez Pierre-Antoine et al.',
'description' => '<p>In mammals, only the zygote and blastomeres of the early embryo are fully totipotent. This totipotency is mirrored in vitro by mouse "2-cell-like cells" (2CLCs), which appear at low frequency in cultures of Embryonic Stem cells (ESCs). Because totipotency is incompletely understood, we carried out a genomewide CRISPR KO screen in mouse ESCs, searching for mutants that reactivate the expression of Dazl, a robust 2-cell-like marker. Using secondary screens, we identify four mutants that reactivate not just Dazl, but also a broader 2-cell-like signature: the E3 ubiquitin ligase adaptor SPOP, the Zinc Finger transcription factor ZBTB14, MCM3AP, a component of the RNA processing complex TREX-2, and the lysine demethylase KDM5C. Functional experiments show how these factors link to known players of the 2 celllike state. These results extend our knowledge of totipotency, a key phase of organismal life.</p>',
'date' => '2022-06-01',
'pmid' => 'https://doi.org/10.21203%2Frs.3.rs-1561018%2Fv1',
'doi' => '10.21203/rs.3.rs-1561018/v1',
'modified' => '2022-09-28 09:23:42',
'created' => '2022-09-08 16:32:20',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 14 => array(
'id' => '4553',
'name' => 'NSUN2-mediated RNA mC modification modulates uveal melanoma cellproliferation and migration.',
'authors' => 'Luo Guangying et al.',
'description' => '<p>RNA 5-methylcytosine (mC) is a widespread post-transcriptional modification involved in diverse biological processes through controlling RNA metabolism. However, its roles in uveal melanoma (UM) remain unknown. Here, we describe the biological roles and regulatory mechanisms of RNA mC in UM. Initially, we identified significantly elevated global RNA mC levels in both UM cells and tissue specimens using ELISA assay and dot blot analysis. Meanwhile, NOP2/Sun RNA methyltransferase family member 2 (NSUN2) was upregulated in both types of these samples, whereas NSUN2 knockdown significantly decreased RNA mC level. Such declines inhibited UM cell migration and suppressed cell proliferation through cell cycle G1 arrest. Furthermore, bioinformatic analyses, mC-RIP-qPCR, and luciferase assay identified β-Catenin (CTNNB1) as a direct target of NSUN2-mediated mC modification in UM cells. Additionally, overexpression of miR-124a in UM cells diminished NSUN2 expression levels indicating that it is an upstream regulator of this response. Our study suggests that NSUN2-mediated RNA mC methylation provides a potential novel target to improve the therapeutic management of UM pathogenesis.</p>',
'date' => '2022-06-01',
'pmid' => 'https://www.ncbi.nlm.nih.gov/pubmed/35757999',
'doi' => '10.1080/15592294.2022.2088047',
'modified' => '2022-11-24 10:14:24',
'created' => '2022-11-24 08:49:52',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 15 => array(
'id' => '4340',
'name' => 'Global DNA methylation and cellular 5-methylcytosine and H4acetylated patterns in primary and secondary dormant seeds of Capsellabursa-pastoris (L.) Medik. (shepherd's purse).',
'authors' => 'Gomez-Cabellos Sara et al.',
'description' => '<p>Despite the importance of dormancy and dormancy cycling for plants' fitness and life cycle phenology, a comprehensive characterization of the global and cellular epigenetic patterns across space and time in different seed dormancy states is lacking. Using Capsella bursa-pastoris (L.) Medik. (shepherd's purse) seeds with primary and secondary dormancy, we investigated the dynamics of global genomic DNA methylation and explored the spatio-temporal distribution of 5-methylcytosine (5-mC) and histone H4 acetylated (H4Ac) epigenetic marks. Seeds were imbibed at 30 °C in a light regime to maintain primary dormancy, or in darkness to induce secondary dormancy. An ELISA-based method was used to quantify DNA methylation, in relation to total genomic cytosines. Immunolocalization of 5-mC and H4Ac within whole seeds (i.e., including testa) was assessed with reference to embryo anatomy. Global DNA methylation levels were highest in prolonged (14 days) imbibed primary dormant seeds, with more 5-mC marked nuclei present only in specific parts of the seed (e.g., SAM and cotyledons). In secondary dormant seeds, global methylation levels and 5-mC signal where higher at 3 and 7 days than 1 or 14 days. With respect to acetylation, seeds had fewer H4Ac marked nuclei (e.g., SAM) in deeper dormant states, for both types of dormancy. However, the RAM still showed signal after 14 days of imbibition under dormancy-inducing conditions, suggesting a central role for the radicle/RAM in the response to perceived ambient changes and the adjustment of the seed dormancy state. Thus, we show that seed dormancy involves extensive cellular remodeling of DNA methylation and H4 acetylation.</p>',
'date' => '2022-05-01',
'pmid' => 'https://doi.org/10.1007%2Fs00709-021-01678-2',
'doi' => '10.1007/s00709-021-01678-2',
'modified' => '2022-06-20 09:19:49',
'created' => '2022-05-19 10:41:50',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 16 => array(
'id' => '4404',
'name' => 'Stella regulates the Development of Female Germline Stem Cells byModulating Chromatin Structure and DNA Methylation.',
'authors' => 'Hou Changliang et al.',
'description' => '<p>Female germline stem cells (FGSCs) have the ability to self-renew and differentiate into oocytes. , encoded by a maternal effect gene, plays an important role in oogenesis and early embryonic development. However, its function in FGSCs remains unclear. In this study, we showed that CRISPR/Cas9-mediated knockout of promoted FGSC proliferation and reduced the level of genome-wide DNA methylation of FGSCs. Conversely, overexpression led to the opposite results, and enhanced FGSC differentiation. We also performed an integrative analysis of chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq), high-throughput genome-wide chromosome conformation capture (Hi-C), and use of our published epigenetic data. Results indicated that the binding sites of STELLA and active histones H3K4me3 and H3K27ac were enriched near the TAD boundaries. Hi-C analysis showed that overexpression attenuated the interaction within TADs, and interestingly enhanced the TAD boundary strength in STELLA-associated regions. Taking these findings together, our study not only reveals the role of in regulating DNA methylation and chromatin structure, but also provides a better understanding of FGSC development.</p>',
'date' => '2022-01-01',
'pmid' => 'https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066111/',
'doi' => '10.7150/ijbs.69240',
'modified' => '2022-08-11 14:54:29',
'created' => '2022-08-11 12:14:50',
'ProductsPublication' => array(
[maximum depth reached]
)
),
(int) 17 => array(
'id' => '4327',
'name' => 'Highly recurrent epimutations in gastric cancer CpG islandmethylator phenotypes and 
