ArticleExperimental hematology2019
Machine learning predicts putative hematopoietic stem cells within large single-cell transcriptomics data sets.
Article in Experimental hematology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed, 49 citations in OpenAlex.
- Machine Learning in Stem Cell Research: From Biological Data to Clinical Translation.Computational and structural biotechnology journal · 2026Review
- Article
- Maintenance of hematopoietic stem cells by tyrosine-unphosphorylated STAT5 and JAK inhibition.Blood advances · 2025Article
- Conversion of placental hemogenic endothelial cells to hematopoietic stem and progenitor cells.Cell discovery · 2025Article
- Application of mass cytometry to characterize hematopoietic stem cells in apheresis products of patients with hematological malignancies.Hematology, transfusion and cell therapy · 2024Article
- Aging is associated with functional and molecular changes in distinct hematopoietic stem cell subsets.Nature communications · 2024Article
- A time- and single-cell-resolved model of murine bone marrow hematopoiesis.Cell stem cell · 2024Article
- Complete miRNA-15/16 loss in mice promotes hematopoietic progenitor expansion and a myeloid-biased hyperproliferative state.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Physioxia improves the selectivity of hematopoietic stem cell expansion cultures.Blood advances · 2023Article
- Machine Learning Analysis of RNA-seq Data for Diagnostic and Prognostic Prediction of Colon Cancer.Sensors (Basel, Switzerland) · 2023Article
- A novel Boolean network inference strategy to model early hematopoiesis aging.Computational and structural biotechnology journal · 2023Article
- EBF1 primes B-lymphoid enhancers and limits the myeloid bias in murine multipotent progenitors.The Journal of experimental medicine · 2022Article
- Murine foetal liver supports limited detectable expansion of life-long haematopoietic progenitors.Nature cell biology · 2022Article
- Murine fetal bone marrow does not support functional hematopoietic stem and progenitor cells until birth.Nature communications · 2022Article
- A Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects.Journal of medical Internet research · 2022Review
- Review
- Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review.International journal of molecular sciences · 2022Review
- Identification of HSC/MPP expansion units in fetal liver by single-cell spatiotemporal transcriptomics.Cell research · 2022Article
- Hematopoietic stem cells retain functional potential and molecular identity in hibernation cultures.Stem cell reports · 2021Article
- Single-cell RNA-seq reveals a concomitant delay in differentiation and cell cycle of aged hematopoietic stem cells.BMC biology · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Hematopoietic stem cells (HSCs) are an essential source and reservoir for normal hematopoiesis, and their function is compromised in many blood disorders. HSC research has benefitted from the recent development of single-cell molecular profiling technologies, where single-cell RNA sequencing (scRNA-seq) in particular has rapidly become an established method to profile HSCs and related hematopoietic populations. The classic definition of HSCs relies on transplantation assays, which have been used to validate HSC function for cell populations defined by flow cytometry. Flow cytometry information for single cells, however, is not available for many new high-throughput scRNA-seq methods, thus highlighting an urgent need for the establishment of alternative ways to pinpoint the likely HSCs within large scRNA-seq data sets. To address this, we tested a range of machine learning approaches and developed a tool, hscScore, to score single-cell transcriptomes from murine bone marrow based on their similarity to gene expression profiles of validated HSCs. We evaluated hscScore across scRNA-seq data from different laboratories, which allowed us to establish a robust method that functions across different technologies. To facilitate broad adoption of hscScore by the wider hematopoiesis community, we have made the trained model and example code freely available online. In summary, our method hscScore provides fast identification of mouse bone marrow HSCs from scRNA-seq measurements and represents a broadly useful tool for analysis of single-cell gene expression data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.