Cancer Single-cell Expression Map

Data Release 2.0

A public database dedicating to collecting, analyzing, visualizing single-cell RNA-seq data of human pan-cancers. Multi-level analyses including single-cell metabolic profiling were carried out to deeply explore the tumor microenvironment of different types of human cancer. More insterestingly, an interactive online analyze platform covering 14 functions was equipped in the database.

Keyword Cloud

News
  • CancerSCEM version 2.0 was online on 2024-06-25, a total of 1,351 scRNA-seq datasets across 74 cancer types were included. (2024/06/25)
  • CELL and METABOLISM modules were equipped in CancerSCEM 2.0 online analyze platform, 7 new analysis functions like CNV evaluation, TF enrichment, biological feature scoring and metabolic-related analysis were all available. (2024/06/06)
  • A single-cell metabolic map was newly constructed based on our recruited scRNA-seq data, both the raw metabolic flux and their dynamic variations of 168 metabolic modules and 34 pathways were illustrated. (2024/05/20)
  • Some of the metadata (e.g. tissue, tumor grade) has been standardly revised. (2024/02/29)
  • CancerSCEM version 1.0 was online on 2021-06-12, a total of 208 single-cell RNA-Seq datasets across 20 types of human cancers were analyzed and included. (2021/06/12) The database achieved the integration of single-cell RNA-seq data from 10X Genomics, Smart-seq2, Drop-seq, Microwell and Seq-Well. (2021/06/12)
  • A comprehensive online analyze platform was equipped, 'Gene analyze module' and 'Sample analyze module' contained a total of 7 analyze functions including gene expression comparison, expression correlation, cell interaction network construction, survival analysis, etc. (2021/06/12)
Citation and Contact

User can cite the database as "CancerSCEM: a database of single-cell expression map across various human cancers. Nucleic Acids Res. [PMID=34643725]".

If you have any question or comment, please feel free to contact us by cancerscem@big.ac.cn or 010-84097443.

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