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a catalog of worldwide biological databases

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General information

Full name: Cancer Single-cell State Atlas
Description: CancerSEA is the first dedicated database that aims to comprehensively decode distinct functional states of cancer cells at single-cell resolution.
Year founded: 2019
Last update:
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Country/Region: China

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Contact information

University/Institution: Harbin Medical University
Address: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China
City: Harbin
Province/State: Heilongjiang
Country/Region: China
Contact name (PI/Team): Xia Li
Contact email (PI/Helpdesk):


CancerSEA: a cancer single-cell state atlas. [PMID: 30329142]
Yuan H, Yan M, Zhang G, Liu W, Deng C, Liao G, Xu L, Luo T, Yan H, Long Z, Shi A, Zhao T, Xiao Y, Li X.

High functional heterogeneity of cancer cells poses a major challenge for cancer research. Single-cell sequencing technology provides an unprecedented opportunity to decipher diverse functional states of cancer cells at single-cell resolution, and cancer scRNA-seq datasets have been largely accumulated. This emphasizes the urgent need to build a dedicated resource to decode the functional states of cancer single cells. Here, we developed CancerSEA ( or, the first dedicated database that aims to comprehensively explore distinct functional states of cancer cells at the single-cell level. CancerSEA portrays a cancer single-cell functional state atlas, involving 14 functional states (including stemness, invasion, metastasis, proliferation, EMT, angiogenesis, apoptosis, cell cycle, differentiation, DNA damage, DNA repair, hypoxia, inflammation and quiescence) of 41 900 cancer single cells from 25 cancer types. It allows querying which functional states are associated with the gene (or gene list) of interest in different cancers. CancerSEA also provides functional state-associated PCG/lncRNA repertoires across all cancers, in specific cancers, and in individual cancer single-cell datasets. In summary, CancerSEA provides a user-friendly interface for comprehensively searching, browsing, visualizing and downloading functional state activity profiles of tens of thousands of cancer single cells and the corresponding PCGs/lncRNAs expression profiles.

Nucleic Acids Res. 2019:47(D1) | 266 Citations (from Europe PMC, 2023-12-02)


All databases:
226/5583 (95.97%)
Health and medicine:
51/1293 (96.133%)
30/1027 (97.176%)
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Record metadata

Created on: 2019-01-03
Curated by:
Yuxin Qin [2023-10-29]
Yuxin Qin [2023-09-19]
Dong Zou [2019-01-09]
Dong Zou [2019-01-03]