Genomics

Dataset Information

0

Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis


ABSTRACT: Esophageal squamous-cell carcinoma (ESCC), one of the most prevalent and lethal malignant disease, has a complex but unknown tumor ecosystem. Here, we decipher for the first time the full compositions of ESCC tumor based on analyzing 208,659 single-cell transcriptomes in ESCC derived from 60 individuals. We identify 8 essential expression programs from malignant epithelial cells and discovered 43 cell types including 26 immune cell and 17 nonimmune stromal cell subtypes in the tumor microenvironment (TME), and also explicate the interactions between cancer cells and other cells and the interactions among different cell types in the TME. Moreover, we have linked the cancer cell transcriptomes to the somatic mutations and identified several markers significantly associated with survival time in patients, which may be relevant to precision cares of ESCC patients. These results renew our understanding of ESCC and provide a valuable example and resource for investigating other types of solid tumor.

INSTRUMENT(S): Illumina Hiseq Xten

ORGANISM(S): Homo Sapiens

SUBMITTER: CCMU 

PROVIDER: PRJEB41091 | EVA | 2020-11-03

REPOSITORIES: EVA

Dataset's files

Source:
Action DRS
Mutect_merged.vcf.gz Vcf
Mutect_merged.vcf.gz.tbi Vcf
Items per page:
1 - 2 of 2

Similar Datasets

2020-10-29 | GSE160269 | GEO
2019-09-23 | MODEL1909230002 | BioModels
2023-10-04 | GSE244031 | GEO
2021-08-23 | GSE176031 | GEO
2021-11-05 | MTBLS150 | MetaboLights
2017-09-18 | PXD003670 | Pride
2016-12-01 | MSV000080374 | GNPS
2021-02-04 | GSE154763 | GEO
2017-03-30 | MSV000080814 | MassIVE
2007-08-15 | GSE6885 | GEO