Integrated decoding hematopoiesis and leukemogenesis using single-cell sequencing and its medical implication
| Title | Integrated decoding hematopoiesis and leukemogenesis using single-cell sequencing and its medical implication |
|---|---|
| Description | Single-cell RNA sequencing provides exciting opportunities to unbiasedly study hematopoiesis. However, our understanding of leukemogenesis was limited due to the high individual differences. Integrated analyses of hematopoiesis and leukemogenesis potentially provides new insights. Here we analyzed ~200,000 single-cell transcriptomes of bone marrow mononuclear cells (BMMCs) and its subsets from 23 clinical samples. We constructed a comprehensive cell atlas as hematopoietic reference. We developed counterpart composite index (CCI; available at GitHub: https://github.com/pengfeeei/cci) to search for the healthy counterpart of each leukemia cell subpopulation, by integrating multiple statistics to map leukemia cells onto reference hematopoietic cells. In summary, this study developed a unified framework for understanding leukemogenesis with hematopoiesis reference, which provided novel biological and medical implication. |
| Organism | Homo sapiens |
| Data Type | - |
| Data Accessibility | Open-access |
| BioProject | PRJCA001823 |
| Release Date | 2022-06-14 |
| Submitter | Wenfei Jin (jinwf@sustech.edu.cn) |
| Organization | Southern University of Science and Technology |
| Submission Date | 2022-06-10 |
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| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download Times | Download |
|---|---|---|---|---|---|---|---|
| OMIX001231-20-01 | leukemia_raw_matrix | 12 | Transcriptomic | 532.08 MB | zip | 0 |