ArticleNucleic acids research2019
CancerSEA: a cancer single-cell state atlas.
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 717 papers.
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Who cites it
717 citing papers in PubMed.
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- Cross-trait genetic analysis maps shared polygenic architecture between primary aldosteronism and blood pressure to adrenal cell states.Journal of translational medicine · 2026Article
- Integrative multi-omics analysis identifies SMIM24 as a favorable prognostic biomarker in clear cell renal cell carcinoma.Functional & integrative genomics · 2026Article
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- Integrated Bioinformatics Analysis Identifies NCAPG2 as an Immune-Related Prognostic Biomarker in Breast Cancer.World journal of oncology · 2026Article
- Pan-Cancer Multi-Omics Analysis Reveals the Potential of ZDHHC16 in Tumor Progression and Immune Regulation.Chemical biology & drug design · 2026Article
- ITPRIPL1: A tumor immune-associated biomarker with prognostic and therapeutic implications in gastrointestinal cancer.Scientific reports · 2026Article
- A Convergence Model of Bioelectric, Gap Junctional, and Hippo-YAP Signalling in Oral Cancer Stem Cell Maintenance.International journal of molecular sciences · 2026Review
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- Oncogene inactivation-induced senescence facilitates tumor relapse.Nature communications · 2026Article
- Laser microdissection-based multi-omics integration unveils the pathological atlas and tumor differentiation network of adamantinomatous craniopharyngioma.Acta neuropathologica communications · 2026Article
- Computational analysis in spatial transcriptomics: methods and perspectives.Briefings in bioinformatics · 2026Review
- Article
657 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 (http://biocc.hrbmu.edu.cn/CancerSEA/ or http://202.97.205.69/CancerSEA/), 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.
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