Accession |
PRJCA002435 |
Title |
Dissecting metabolism patterns of early stage lung cancer by single cell RNA sequencing |
Relevance |
Medical |
Data types |
Exome
Transcriptome or Gene expression
Raw sequence reads
|
Organisms |
Homo sapiens
|
Description |
Dysregulation of metabolism is a hallmark of cancer. Characterizing the metabolism pattern of early stage lung cancer at single cell resolution may find reliable biomarkers for early detection and tumor vulnerabilities for treatment. |
Sample scope |
Multiisolate |
Release date |
2020-03-24 |
Grants |
Agency |
program |
Grant ID |
Grant title |
National Natural Science Foundation of China (NSFC)
|
Young Scientists Fund
|
81702256
|
|
National Natural Science Foundation of China (NSFC)
|
General Program
|
81871879
|
|
|
Submitter |
Jun
Wang (jwangmd@pku.edu.cn)
|
Organization |
Peking University People's Hospital |
Submission date |
2020-03-24 |