Accession |
PRJCA002167 |
Title |
Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis |
Relevance |
Medical |
Data types |
Whole genome sequencing
Exome
Transcriptome or Gene expression
|
Organisms |
Homo sapiens
|
Description |
Dissecting esophageal cancer ecosystem by single-cell RNA analysis |
Sample scope |
Multiisolate |
Release date |
2023-03-24 |
Publication |
PubMed ID |
Article title |
Journal name |
DOI |
Year |
35934711
|
A cis-eQTL in NSUN2 promotes esophageal squamous-cell carcinoma progression and radiochemotherapy resistance by mRNA-m5C methylation
|
Signal Transduction and Targeted Therapy
|
10.1038/s41392-022-01063-2
|
2022
|
|
Data provider |
|
Grants |
Agency |
program |
Grant ID |
Grant title |
National Natural Science Foundation of China (NSFC)
|
|
21675098
|
|
National Natural Science Foundation of China (NSFC)
|
|
21525521
|
|
National Natural Science Foundation of China (NSFC)
|
|
81725015
|
|
Ministry of Science and Technology of China
|
|
2018YFA0800200
|
|
Beijing Outstanding Young Scientist Program
|
|
BJJWZYJH01201910023027
|
|
2018 Beijing Brain Initiation
|
|
Z181100001518004
|
|
Medical and Health Technology Innovation Project of Chinese Academy of Medical Sciences
|
|
2019I2M2001
|
|
|
Submitter |
Chen
Wu (chenwu@cicams.ac.cn)
|
Organization |
Cancer Hospital, Chinese Academy of Medical Sciences |
Submission date |
2020-01-27 |