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Series GSE156632 Query DataSets for GSE156632
Status Public on Aug 31, 2021
Title Single cell analysis reveals intra-tumor heterogeneity and microenvironment for clear cell renal cell carcinoma
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Here we performed 3’ transcriptome single cell sequencing on 7 ccRCC patients’ tumor and matched 5 adjacent normal samples. We identified two different functional subgroups in ccRCC tumor epithelial cells and two different gene transcriptional programs that were associated with survival across a TCGA cohort. We found important transcriptional factor regulons that played roles in ccRCC progression. We identified macrophage and T cell clusters whose higher infiltration in tumor was associated with overall survival. We also discovered some potentially targetable inhibitory interactions among tumor epithelial cells, the infiltrating T cell and myeloid compartments. Collectively, our data provided cell clusters and gene sets for predict clinical outcome and potential targets for ccRCC therapy.
 
Overall design Single cell mRNA profiles of 7 primary tumors and correspongding para-tumors from 7 patients with celar cell cancer were generated by 10X Genomics plartform, without technical replication, and sequenced by NovaSeq 6000 (Illumina)
 
Contributor(s) Zhang M, Wang J, Gao W
Citation(s) 35605062
Submission date Aug 21, 2020
Last update date Aug 29, 2023
Contact name Jia Wang
E-mail(s) wj860520@163.com
Phone 15821724825
Organization name SJTU CHINA
Street address Huashan Rd. 1940, build 3. Shanghai,
City Shanghai
State/province Shanghai China
ZIP/Postal code 200017
Country China
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (12)
GSM4735364 Patient #1t-scRNA
GSM4735365 Patient #1n-scRNA
GSM4735366 Patient #2t-scRNA
Relations
BioProject PRJNA658558
SRA SRP278389

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE156632_RAW.tar 86.5 Mb (http)(custom) TAR (of CSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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