ArticleNucleic acids research2019
CellMarker: a manually curated resource of cell markers in human and mouse.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 946 papers.
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Who cites it
946 citing papers in PubMed.
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- Systematic benchmarking and optimal strategy selection of cross-species integration methods.Briefings in bioinformatics · 2026Article
- Topology-guided dual-masked contrastive learning for weakly supervised cell-type annotation in single-cell multi-omics.Briefings in bioinformatics · 2026Article
- Gene expression signatures from single-cell transcriptomics predict Sjögren's syndrome.iMetaOmics · 2026Article
- Dysregulated IL-2 signaling and T-cell subset shifts are associated with eosinophilic esophagitis activity.Biochemistry and biophysics reports · 2026Article
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- scProtoTransformer: Scalable reference mapping across molecules, cells, and donors.Science advances · 2026Article
- Spatial transcriptomic analysis reveals spatial features in human Stanford type A aortic dissection.iScience · 2026Article
- Integrating machine learning and multi-omics analysis to identify and validate key genes associated with periodontitis.Acta odontologica Scandinavica · 2026Article
- Immune niche composed of C1QNature communications · 2026Article
- Disruption of RBPJ in liver cancer-infiltrating T cells enhances antitumor immunity through remodeling epigenetic landscape.Cell death and differentiation · 2026Article
886 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the most fundamental questions in biology is what types of cells form different tissues and organs in a functionally coordinated fashion. Larger-scale single-cell sequencing and biology experiment studies are now rapidly opening up new ways to track this question by revealing substantial cell markers for distinguishing different cell types in tissues. Here, we developed the CellMarker database (http://biocc.hrbmu.edu.cn/CellMarker/ or http://bio-bigdata.hrbmu.edu.cn/CellMarker/), aiming to provide a comprehensive and accurate resource of cell markers for various cell types in tissues of human and mouse. By manually curating over 100 000 published papers, 4124 entries including the cell marker information, tissue type, cell type, cancer information and source, were recorded. At last, 13 605 cell markers of 467 cell types in 158 human tissues/sub-tissues and 9148 cell makers of 389 cell types in 81 mouse tissues/sub-tissues were collected and deposited in CellMarker. CellMarker provides a user-friendly interface for browsing, searching and downloading markers of diverse cell types of different tissues. Furthermore, a summarized marker prevalence in each cell type is graphically and intuitively presented through a vivid statistical graph. We believe that CellMarker is a comprehensive and valuable resource for cell researches in precisely identifying and characterizing cells, especially at the single-cell level.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.