bioRxivJClub
CellMethMarker provides an integrated database of human cell- and tissue-type-specific DNA methylation markers
bioRxiv · · Preprint · Open access
Sun, Peng + 9 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
CellMethMarker integrates 347,514 de novo and 2,203,507 literature-derived human cell- and tissue-type DNA methylation markers, enabling region-level retrieval and analysis.
- Why it matters: Existing marker resources focus on disease biomarkers, atlases, genomic annotations, or RNA markers, leaving a need for an integrated, region-level database dedicated to cell- and tissue-specific methylation markers.
- What they did: The team curated CellMethMarker from uniformly processed whole-genome and reduced-representation bisulfite sequencing datasets, plus literature-derived records, totaling 2,810 samples with harmonized metadata.
- The result: In an independent single-cell methylome atlas, the markers recover expected cell-type methylation patterns, and a platform-matched reference reduces mean deconvolution error from 0.365 to 0.144.
The findingWhy it mattersWhat they didThe result
- Open access