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Infinium MethylationEPIC Array v2.0 Service

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Catalog Number
Format
G0209006

The Infinium MethylationEPIC v2.0 Array Services (improved version of the EPIC v1.0) is the new cutting-edge genome-wide DNA methylation analysis technique from Illumina® based on bisulfite conversion. It allows to quantitatively detect the total methylation level of over 930,000 methylations sites throughout the human genome at single nucleotide resolution. It offers comprehensive coverage of CpG islands, enhancer regions, open chromatin sites and other important regions of the methylome with extended content compared to the EPIC v1.0.

Comprehensive and improved Genome-Wide Coverage

  • Cost-effective solution with rapid turnaround time
  • Over 930,000 CpGs detected in human samples at single nucleotide resolution
  • High percentage of probe overlap with 150,000 newly covered CpGs compared to previous version
  • More than 99% correlation in methylation values with EPIC v1.0
  • Compatible with FFPE samples with additional mandatory DNA Restoration step
  • End-to-end services include bisulfite conversion, array hybridization, array scan and data quality control

Bioinformatic analysis offering: comparative analysis, data mining

  • Services Workflow
    EPIC Array Service

    End-to-end array

    • Bisulfite conversion
    • Whole genome amplification  
    • Array hybridization
    • Single base extension  
    • Array scanner 
  • Bioinformatics Analysis

    Analysis

    Features

    Standard

    Standard files provided:

    • Sample annotation
    • Variable annotation
    • Scanner output (IDAT files)

    Differential methylation analysis

    Identification of differentially methylated CpGs between sample groups.

    Files provided:

    • Report with summary of differential methylation analysis and plots
    • File containing the differentially methylated CpGs and breakdown of those positions in regional analysis (CpG islands, shelves, shores and open sea)
    • File containing differential methylated regions (DMRs)

    Gene ontology terms analysis

    Enrichment analysis on gene sets. Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved.

    Pathway analysis

    Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented.

  •  出版物

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    Using our products in your publication? Let us know!

    Matched analysis of detailed peripheral blood and tumor immune microenvironment profiles in bladder cancer
    Chen JQ et al.
    Background: Bladder cancer and therapy responses hinge on immune profiles in the tumor microenvironment (TME) and blood, yet studies linking tumor-infiltrating immune cells to peripheral immune profiles are limited. Methods: DNA methylation cytometry quantified TME and matched peripheral blood immune ...

    Altered DNA methylation and gene expression predict disease severity inpatients with Aicardi-Goutières syndrome.
    Garau J. et al.
    Aicardi-Goutières Syndrome (AGS) is a rare neuro-inflammatory disease characterized by increased expression of interferon-stimulated genes (ISGs). Disease-causing mutations are present in genes associated with innate antiviral responses. Disease presentation and severity vary, even between patients with ident...

    DNA methylation aberrancy is a reliable prognostic tool in uveal melanoma
    Soltysova A. et al.
    Despite outstanding advances in understanding the genetic background of uveal melanoma (UM) development and prognosis, the role of DNA methylation reprogramming remains elusive. This study aims to clarify the extent of DNA methylation deregulation in the context of gene expression changes and its utility as a reliab...

    Decitabine increases neoantigen and cancer testis antigen expression toenhance T cell-mediated toxicity against glioblastoma.
    Ma Ruichong et al.
    BACKGROUND: Glioblastoma (GBM) is the most common and malignant primary brain tumour in adults. Despite maximal treatment, median survival remains dismal at 14-24 months. Immunotherapies, such as checkpoint inhibition, have revolutionised management of some cancers but have little benefit for GBM patients. This is, ...

    Enhanced cell deconvolution of peripheral blood using DNA methylation for high-resolution immune profiling
    Lucas A Salas, Ze Zhang, Devin C Koestler, Rondi A Butler, Helen M Hansen, Annette M Molinaro, John K Wiencke, Karl T Kelsey, Brock C Christensen
    DNA methylation microarrays can be employed to interrogate cell-type composition in complex tissues. Here, we expand reference-based deconvolution of blood DNA methylation to include 12 leukocyte subtypes (neutrophils, eosinophils, basophils, monocytes, B cells, CD4+ and CD8+ naïve and memory cells, natural kil...

    Interplay between Histone and DNA Methylation Seen through Comparative Methylomes in Rare Mendelian Disorders
    Guillaume Velasco, Damien Ulveling,Sophie Rondeau,Pauline Marzin,Motoko Unoki,Valérie Cormier-Daire, Claire Francastel
    DNA methylation (DNAme) profiling is used to establish specific biomarkers to improve the diagnosis of patients with inherited neurodevelopmental disorders and to guide mutation screening. In the specific case of mendelian disorders of the epigenetic machinery, it also provides the basis to infer mechanistic aspects...

    Genome-wide DNA methylation and transcriptome integration reveal distinct sex differences in skeletal muscle
    Shanie Landen, Macsue Jacques , Danielle Hiam , Javier Alvarez, Nicholas R Harvey, Larisa M. Haupt, Lyn R, Griffiths, Kevin J Ashton, Séverine Lamon, Sarah Voisin, Nir Eynon
    Nearly all human complex traits and diseases exhibit some degree of sex differences, and epigenetics contributes to these differences as DNA methylation shows sex differences in various tissues. However, skeletal muscle epigenetic sex differences remain largely unexplored, yet skeletal muscle displays distinct sex d...

    ZNF718, HOXA4, and ZFP57 are differentially methylated inperiodontitis in comparison with periodontal health: Epigenome-wide DNAmethylation pilot study.
    Hernández H.G. et al.
    OBJECTIVE: To investigate the differences in the epigenomic patterns of DNA methylation in peripheral leukocytes between patients with periodontitis and gingivally healthy controls evaluating its functional meaning by functional enrichment analysis. BACKGROUND: The DNA methylation profiling of peripheral leukocytes ...

    From methylation to myelination: epigenomic and transcriptomic profilingof chronic inactive demyelinated multiple sclerosis lesions
    Tiane A. et al.
    Introduction In the progressive phase of multiple sclerosis (MS), the hampered differentiation capacity of oligodendrocyte precursor cells (OPCs) eventually results in remyelination failure. We have previously shown that DNA methylation of Id2/Id4 is highly involved in OPC differentiation and remyelination. In this ...

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