CancerSEA: a cancer single-cell state atlas

Huating Yuan(Harbin Medical University), Min Yan(Harbin Medical University), Guanxiong Zhang(Harbin Medical University), Wei Liu(Harbin Medical University), Chunyu Deng(Harbin Medical University), Gaoming Liao(Harbin Medical University), Liwen Xu(Harbin Medical University), Tao Luo(Harbin Medical University), Haoteng Yan(Harbin Medical University), Zhilin Long(Harbin Medical University), Aiai Shi(Harbin Medical University), Tingting Zhao(First Affiliated Hospital of Harbin Medical University), Yun Xiao(Harbin Medical University), Xia Li(Harbin Medical University)
Nucleic Acids Research
October 8, 2018
Cited by 1,134Open Access
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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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