Cancer Single-cell Expression Map

Data Release 2.0

A public database dedicated to integrating, analyzing, visualizing single-cell RNA-seq data of human pan-cancer. Multidimensional analyses including single-cell metabolic profiling were carried out to deeply explore the complex tumor microenvironment of different types of human cancer. More interestingly, an interactive analysis platform encompassing 4 modules and 14 functions was equipped in the database.

Keyword Cloud

News
  • 115 scRNA-seq datasets from normal samples produced by the existing projects have been added. (2024/09/06)
  • 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]" or "CancerSCEM 2.0: an updated data resource of single-cell expression map across various human cancers. Nucleic Acids Res. [PMID=39460627]".

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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