CellMethMarker provides an integrated database of human cell- and tissue-type-specific DNA methylation markers

Cell- and tissue-type-specific DNA methylation markers provide epigenetic signatures of cellular identity and are widely used to infer cellular origin from bulk and single-cell methylomes. Existing resources mainly emphasize disease-associated biomarkers, methylome atlases, genomic annotations or RNA-based cell markers, leaving an unmet need for an integrated region-level resource dedicated to such markers. Here we present CellMethMarker (http://gu-zhanglab.hfcas.ac.cn/CellMethMarker), a curated database integrating 347,514 de novo markers derived from uniformly processed whole-genome and reduced-representation bisulfite sequencing datasets, 2,203,507 literature-derived marker records and harmonized metadata for 2,810 samples. CellMethMarker enables cell- and tissue-centered marker retrieval, coordinate-based search, genome-browser visualization, interactive methylation analysis and data download. In an independent single-cell methylome atlas, these markers recover the expected cell-type-associated methylation patterns, and a platform-matched reference built from them lowers the mean deconvolution error from 0.365 to 0.144. CellMethMarker therefore links region-level DNA methylation variation to cellular identity and supports methylome-based cell-type annotation and deconvolution.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-10-29
DOI
https://doi.org/10.64898/2026.10.23.760902
Primary Topic
Epigenetics and DNA Methylation
Type
preprint

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preprint

CellMethMarker provides an integrated database of human cell- and tissue-type-specific DNA methylation markers

Qing Dai, Hongcang Gu, Fan Zhang, Xiaojun Sun et al.
2 links
bioRxiv (Cold Spring Harbor Laboratory)
Epigenetics and DNA Methylation
preprint

CellMethMarker provides an integrated database of human cell- and tissue-type-specific DNA methylation markers

Qing Dai, Hongcang Gu, Fan Zhang, Xiaojun Sun, Yingyu Yi, Jiantao Shi, Lina Fu, Yali Xie, Fang Liu, Hongzhi Wang, Yujie Peng
preprint en

Abstract

Cell- and tissue-type-specific DNA methylation markers provide epigenetic signatures of cellular identity and are widely used to infer cellular origin from bulk and single-cell methylomes. Existing resources mainly emphasize disease-associated biomarkers, methylome atlases, genomic annotations or RNA-based cell markers, leaving an unmet need for an integrated region-level resource dedicated to such markers. Here we present CellMethMarker (http://gu-zhanglab.hfcas.ac.cn/CellMethMarker), a curated database integrating 347,514 de novo markers derived from uniformly processed whole-genome and reduced-representation bisulfite sequencing datasets, 2,203,507 literature-derived marker records and harmonized metadata for 2,810 samples. CellMethMarker enables cell- and tissue-centered marker retrieval, coordinate-based search, genome-browser visualization, interactive methylation analysis and data download. In an independent single-cell methylome atlas, these markers recover the expected cell-type-associated methylation patterns, and a platform-matched reference built from them lowers the mean deconvolution error from 0.365 to 0.144. CellMethMarker therefore links region-level DNA methylation variation to cellular identity and supports methylome-based cell-type annotation and deconvolution.

bioRxiv (Cold Spring Harbor Laboratory)
University of Science and Technology of China (CN), Anhui University (CN), Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN)
Natural Science Foundation of Anhui Province
Epigenetics and DNA Methylation
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CellMethMarker provides an integrated database of human cell- and tissue-type-specific DNA methylation markers — Qing Dai, Hongcang Gu, et al. · bioRxiv (Cold Spring Harbor Laboratory) (2026) | TGRS Research Map | TGRS