{
  "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.",
  "abstract_shown": true,
  "affiliations": [
    "Hefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, P. R"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 11,
  "authors": [
    {
      "name": "X. Sun"
    },
    {
      "name": "Y. Peng"
    },
    {
      "name": "Y. Yi"
    },
    {
      "name": "L. Fu"
    },
    {
      "name": "F. Liu"
    },
    {
      "name": "Y. Xie"
    },
    {
      "name": "Q. Dai"
    },
    {
      "name": "H. Gu"
    },
    {
      "name": "J. Shi"
    },
    {
      "name": "H. Wang"
    },
    {
      "affs": [
        0
      ],
      "name": "F. Zhang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/7k0tm08s7p1qa.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.10.23.760902",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.10.23.760902v1.full",
  "id": "7k0tm08s7p1qa",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.10.23.760902v1",
  "language": null,
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "bioinformatics"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.10.23.760902v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-23",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/7k0tm08s7p1qa.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:30:19Z",
      "native_id": "10.64898/2026.10.23.760902",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.10.23.760902v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:bioinformatics",
      "subfield": "bioinformatics"
    }
  ],
  "title": "CellMethMarker provides an integrated database of human cell- and tissue-type-specific DNA methylation markers",
  "title_text": "CellMethMarker provides an integrated database of human cell- and tissue-type-specific DNA methylation markers",
  "type": "preprint",
  "updated_at": "2026-10-31T00:20:36Z",
  "url": "https://research.draconitic.com/paper/7k0tm08s7p1qa",
  "venue": "bioRxiv",
  "versions": []
}