| Title | Single-cell RNA sequencing of pediatric AML |
|---|---|
| Description | Single-cell transcriptomics reveals multiple chemoresistant properties in leukemic stem and progenitor cells in pediatric AML |
| Organism | Homo sapiens |
| Data Type | Expression Profiling |
| Data Accessibility | Open-access |
| BioProject | PRJCA001173 |
| Release Date | 2023-11-10 |
| Submitter | Qianfei Wang (wangqf@big.ac.cn) |
| Organization | Beijing Institute of Genomics, Chinese Academy of Sciences |
| Submission Date | 2023-11-09 |
HTTP download speed may be slow. It is highly recommended that you download the dataset using a dedicated FTP tool (such as FileZilla Client).
| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download |
|---|---|---|---|---|---|---|
| OMIX005223-01 | expression matrices of the pediatric AML patients | 1 | Expression Profiling | 1.67 GB | zip | |
| OMIX005223-03 | expression matrices of the healthy donors | 1 | Expression Profiling | 986.28 MB | zip | |
| OMIX005223-04 | metadata of the healthy donors | 1 | Expression Profiling | 6.2 MB | 7z | |
| OMIX005223-05 | metadata of the pediatric AML patients | 1 | Expression Profiling | 9.81 MB | 7z |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery | Nature Communications | 2024-10 | OMIX006910 OMIX005223 | Deposit |