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CancerSCEM: a database of single-cell expression map across various human cancers
Jingyao Zeng1,2,3, Yadong Zhang1,2,3, Yunfei Shang1,2,3,4
1National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Cancer Single-cell Expression Map (CancerSCEM) integrates human cancer scRNA-seq data for comprehensive analysis. This resource aids researchers in understanding tumor microenvironments and clinical therapy assessments.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Single-cell RNA sequencing (scRNA-seq) has revealed cellular heterogeneity and immune landscapes in human cancers.
- Massive cancer scRNA-seq datasets necessitate integration and processing for tumor microenvironment research.
Purpose of the Study:
- To develop a comprehensive database and analysis platform for human cancer scRNA-seq data.
- To facilitate investigations into tumor microenvironment, pathogenesis, and clinical therapy assessments.
Main Methods:
- Development of the Cancer Single-cell Expression Map (CancerSCEM) database.
- Uniform and multiscale analyses including cell type annotation, gene expression, cell interaction, and survival analysis.
- Implementation of a user-friendly web interface with integrated online analysis functions.
Main Results:
- CancerSCEM version 1.0 contains 208 cancer samples from 28 studies across 20 human cancer types.
- The database provides uniformly processed data and analytical results.
- An integrated online platform offers seven interactive analysis functions for cancer scRNA-seq data.
Conclusions:
- CancerSCEM offers a valuable resource for human cancer research.
- The platform facilitates interactive analysis of scRNA-seq data, aiding in clinical therapy assessments.
- This integrated approach supports deeper understanding of cancer biology and potential therapeutic strategies.
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