ArticleCell discovery2021
Integrated decoding hematopoiesis and leukemogenesis using single-cell sequencing and its medical implication.
Article in Cell discovery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
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- The role of relaxins in blood cell modulation: interactions with relaxin family peptide receptor 1 (RXFP1) and glucocorticoid receptor (GR).Clinical science (London, England : 1979) · 2025Review
- Cell sorting based on single nucleotide variation enables characterization of mutation-dependent transcriptome and chromatin states.Nucleic acids research · 2025Article
- Resolving Leukemia Heterogeneity and Lineage Aberrations with HematoMap.Genomics, proteomics & bioinformatics · 2025Article
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- Single-cell transcriptomic analysis of chondrocytes in cartilage and pathogenesis of osteoarthritis.Genes & diseases · 2025Article
- Multi-omics reveals immune features in immune and non-immune cells, an IFN-γ/IFN-α-B2M positive feedback loop, and targeted metabolic therapy in multiple myeloma.Frontiers in immunology · 2025Article
- Use of Transcriptomics to Identify Candidate Genes for Hematopoietic Differences Between Wujin and Duroc Pigs.Animals : an open access journal from MDPI · 2024Article
- Clonal dynamics and somatic evolution of haematopoiesis in mouse.bioRxiv : the preprint server for biology · 2024Article
- Multiomic single cell sequencing identifies stemlike nature of mixed phenotype acute leukemia.Nature communications · 2024Article
- Computing cell state discriminates the aberrant hematopoiesis and activated microenvironment in Myelodysplastic syndrome (MDS) through a single cell genomic study.Journal of translational medicine · 2024Article
- FLI1 is associated with regulation of DNA methylation and megakaryocytic differentiation in FPDMM caused by a RUNX1 transactivation domain mutation.Scientific reports · 2024Article
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- Sirpα on tumor-associated myeloid cells restrains antitumor immunity in colorectal cancer independent of its interaction with CD47.Nature cancer · 2024Article
- Progress in single-cell multimodal sequencing and multi-omics data integration.Biophysical reviews · 2024Review
- Exploring the dynamics and influencing factors of CD4 T cell activation using single-cell RNA-seq.iScience · 2023Article
- Single-cell transcriptomics reveals multiple chemoresistant properties in leukemic stem and progenitor cells in pediatric AML.Genome biology · 2023Article
- Article
- Review
- Stemness-related genes revealed by single-cell profiling of naïve and stimulated human CD34Clinical and translational medicine · 2023Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
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. Interestingly, we found leukemia cell subpopulations from each patient had different healthy counterparts. Analysis showed the trajectories of leukemia cell subpopulations were similar to that of their healthy counterparts, indicating that developmental termination of leukemia initiating cells at different phases leads to different leukemia cell subpopulations thus explained the origin of leukemia heterogeneity. CCI further predicts leukemia subtypes, cellular heterogeneity, and cellular stemness of each leukemia patient. Analyses of leukemia patient at diagnosis, refractory, remission and relapse vividly presented dynamics of cell population during leukemia treatment. CCI analyses showed the healthy counterparts of relapsed leukemia cells were closer to the root of hematopoietic tree than that of other leukemia cells, although single-cell transcriptomic genetic variants and haplotype tracing analyses showed the relapsed leukemia cell were derived from an early minor leukemia cell population. In summary, this study developed a unified framework for understanding leukemogenesis with hematopoiesis reference, which provided novel biological and medical implication.
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Registered trials
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