CellMarker 2.0
CellMarker 2.0 provides a manually curated database of experimentally supported cell-type markers across human and mouse tissues and computational modules for analyzing single-cell sequencing data.
Key Features:
- Manually curated, experimentally supported markers: Contains experimentally validated markers collected through manual curation for human and mouse cell types.
- Extensive database expansion: Adds 36,300 tissue–cell type–marker entries (covering 474 tissues, 1,901 cell types, and 4,566 markers) for a total of 83,361 entries, 26,915 cell markers, 2,578 cell types, and 656 tissues.
- Diverse sequencing sources: Integrates marker information from 48 sequencing technology sources, including 10X Chromium, Smart-Seq2, and Drop-seq.
- Broadened marker types: Incorporates 29 additional marker types, including long non-coding RNAs (lncRNAs) and processed pseudogenes, alongside protein-coding genes.
- Analysis modules: Provides computational modules for cell annotation, cell clustering, cell malignancy detection, cell differentiation analysis, cell feature analysis, and cell communication analysis.
Scientific Applications:
- Identification of novel cell types: Enabling discovery of previously unrecognized cell populations using the expanded marker repertoire.
- Cancer research: Supporting malignancy detection and characterization of cancerous versus non-malignant cells.
- Developmental biology: Facilitating analysis of cellular differentiation pathways and lineage relationships.
- Single-cell transcriptomics: Supporting analyses that leverage diverse sequencing technologies (e.g., 10X Chromium, Smart-Seq2, Drop-seq) for high-resolution cellular profiling in human and mouse.
Methodology:
Manual curation of experimentally supported markers and integration of marker data from 48 sequencing technologies (e.g., 10X Chromium, Smart-Seq2, Drop-seq), with computational modules for cell annotation, clustering, malignancy detection, differentiation analysis, feature analysis, and cell communication analysis.
Topics
Details
- License:
- Other
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Java
- Added:
- 12/27/2022
- Last Updated:
- 12/27/2022
Operations
Publications
Hu C, Li T, Xu Y, Zhang X, Li F, Bai J, Chen J, Jiang W, Yang K, Ou Q, Li X, Wang P, Zhang Y. CellMarker 2.0: an updated database of manually curated cell markers in human/mouse and web tools based on scRNA-seq data. Nucleic Acids Research. 2022;51(D1):D870-D876. doi:10.1093/nar/gkac947. PMID:36300619. PMCID:PMC9825416.