OMIX

Integrated decoding hematopoiesis and leukemogenesis using single-cell sequencing and its medical implication

OMIX001231

1Summary
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@sinh.ac.cn)
Organization Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences
Submission Date 2022-06-10
2Files & Download

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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

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