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
Data provider Data provider URL
Biomedical Pioneering Innovation Center https://biopic.pku.edu.cn
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

Project Data

Resource name Description
BioSample (248)  show -