Accession PRJCA020910
Title Single-cell atlas of human cell lines
Relevance Model organism
Data types Epigenomics
Transcriptome or Gene expression
Single cell sequencing
Organisms Homo sapiens
Description Single-cell atlas of human cell lines generated single-cell transcriptome and single-cell chromatin accessibility data of dozens of cancer cell lines and 2 normal cell lines to illustrate both transcriptional and epigenetic heterogeneity within different cell lines. The plasticity of transcriptomic heterogeneity is demonstrated by lineage tracing and hypoxia treatment.
Sample scope Monoisolate
Release date 2023-11-14
Publication
PubMed ID Article title Journal name DOI Year
38071219 Single cell multi-omics reveal intra-cell-line heterogeneity across human cancer cell lines Nature Communications 10.1038/s41467-023-43991-9 2023
Grants
Agency program Grant ID Grant title
National Natural Science Foundation of China 32100613
National Key Research and Development Program of China 021YFF1201000
Shenzhen Science and Technology Program KQTD20180411143432337
Shenzhen Science and Technology Program JCYJ20210324104605014
Shenzhen Science and Technology Program JCYJ20190809154407564
Shenzhen Key Laboratory of Gene Regulation and Systems Biolog ZDSYS20200811144002008
Guangdong Basic and Applied Basic Research Foundation 2021A1515110832
Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases 019B121205005
Shenzhen Key Laboratory of Single-Cell Omics ZDSYS20190902093613831
External link
External link Link description
https://db.cngb.org/cdcp/scatlashcl/ Single-cell atlas of human cell lines generated single-cell transcriptome and single-cell chromatin accessibility data of dozens of cancer cell lines and 2 normal cell lines to illustrate heterogeneity within different cell lines.
Submitter liang wu (wuliang@genomics.cn)
Organization BGI-Shenzhen
Submission date 2023-10-31

Project Data

Resource name Description