| Accession |
PRJCA005363 |
| Title |
Clonal Evolution tracking in pediatric T-ALL at single cell resolution |
| Relevance |
Medical |
| Data types |
Exome
Transcriptome or Gene expression
ATAC-seq
|
| Organisms |
Homo sapiens
|
| Description |
With the aim to detect clonal architectures and to elucidate clonal evolution patterns of pediatric T cell lymphoblastic leukemia (T-ALL) , we performed single cell transcriptomic sequening as well as ATAC-seq on bone marrow leukemic cells from 5 diagnostic-relapsed pairs of pediatric T-ALL, in comparison to bone marrows from 2 healthy donors . Bioinformatics analysis revealed diversified clonal evolution patterns across different subtypes, which for the first time demonstrated unique genetic/epigenetic patterns underlying clonal expansion/evolution in pediatric T-ALL at single cell levels. |
| Sample scope |
Single cell |
| Release date |
2021-06-03 |
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| National Natural Science Foundation of China (NSFC)
|
|
81890992
|
|
|
|
| Submitter |
Xiaofan
Zhu (xfzhu@ihcams.ac.cn)
|
| Organization |
Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College |
| Submission date |
2021-06-03 |
