TruSeq Methyl Capture EPIC (TruSeq EPIC) is a targeted bisulfite sequencing platform provided by Illumina. Combining bisulfite conversion with hybrid selection and deep sequencing, TruSeq EPIC can perform whole-genome DNA methylation profiling. We applied this new technology to biological replicates of human cell lines to assess its genome-wide CpG coverage, capture performance, accuracy, reproducibility and biomarker discovery ability. The comprehensive evaluation reveals that the TruSeq EPIC is a significant improvement over the EPIC array, with newly designed target content and high preformation in reproducibility and discovery ability. The evaluation reveals that TruSeq EPIC provides a cost-effective intermediate solution to increase the methylome coverage on the most informative genome regions in large cohorts. This website provides systematic annotation of target regions and CpGs in TruSeq EPIC.
DNA methylation elements covered by TruSeq EPIC target regions(DMR_Zhang|DMR_Wang |DMR_Farlik |DMR_Ziller |DMR_Schultz |DMR_Liu |DMR_Heyn |AMR_Fang |MHB_Guo) - DMR_Zhang : Tissue-specific DMRs identfied across 16 tissue types based on MeDIP-chip (PMID:21306990) - DMR_Wang : Cell type-specific DMRs identfied across 19 cell types based on RRBS (PMID:22955980) - DMR_Farlik : Cell type-specific DMRs identfied during Hematopoietic Stem Cell Differentiation based on WGBS (PMID:27867036) - DMR_Ziller : Cell/tissue-specific DMRs identfied across 30 cell/tissue types based on WGBS (PMID:23925113) - DMR_Schultz: Tissue-specific DMRs identfied across 18 tissue types based on WGBS (PMID:26030523) - DMR_Liu : Cell/tissue-specific DMRs identfied across 42 cell/tissue types based on WGBS (PMID:26635396) - DMR_Heyn : Aging DMRs identfied between newborns and centenarians based on WGBS (PMID:22689993) - AMR_Fang : Allele-specific DMRs identfied across 12 cell/tissue types based on WGBS (PMID:22523239) - MHB_Guo : Methylation haplotype blocks identfied across 61 WGBS samples (PMID:28263317)
All TruSeq EPIC methylation data used in this evaluation in the futhure can be visualized via TruSeq EPIC Methyl Hub at UCSC Genome Browser. To support DNA methylation analysis, TruSeq EPIC Methyl Hub will be updated timely with new TruSeq EPIC methylation data available in the public database including GEO and SRA.