Accession |
PRJCA001551 |
Title |
Gastric cancer molecular typing delineated through single-cell mRNA sequencing |
Relevance |
Medical |
Data types |
Transcriptome or Gene expression
Raw sequence reads
|
Organisms |
Homo sapiens
|
Description |
Tumor heterogeneity is vital for the therapy of gastric cancer (GC). The heterogeneity of GC at single cell resolution are still elusive by far. We performed single-cell RNA sequencing analysis of 22,241 cells isolated from tumour and adjacent normal mucosae of 9 GC patients, which covers all the subtypes of Lauren's pathological classification. The transcriptional profiles of malignant epithelium revealed five molecular subtypes of GC. In conclusion, our study provides a deeper insight into the heterogeneity of GC, and offers guidance for precision diagnosis and treatment. |
Sample scope |
Single cell |
Release date |
2019-07-01 |
Publication |
PubMed ID |
Article title |
Journal name |
DOI |
Year |
32532891
|
Dissecting transcriptional heterogeneity in primary gastric adenocarcinoma by single cell RNA sequencing
|
Gut
|
10.1136/gutjnl-2019-320368
|
2020
|
35646860
|
Pan-Cancer Single-Cell Analysis Reveals the Core Factors and Pathway in Specific Cancer Stem Cells of Upper Gastrointestinal Cancer
|
Frontiers in Bioengineering and Biotechnology
|
10.3389/fbioe.2022.849798
|
2022
|
|
Data provider |
|
Grants |
Agency |
program |
Grant ID |
Grant title |
Ministry of Science and Technology of the People's Republic of China (MOST)
|
National Key Technologies R&D Program
|
2017YFC0908300
|
|
Beijing Natural Science Foundation
|
General Program
|
7192201
|
|
|
Submitter |
Xiaomin
Ying (yingxmbio@foxmail.com)
|
Organization |
Institute of Military Cognition and Brain Sciences |
Submission date |
2019-07-01 |