ArticlePLoS biology2017
Integrated time-lapse and single-cell transcription studies highlight the variable and dynamic nature of human hematopoietic cell fate commitment.
Article in PLoS biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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28 citing papers in PubMed, 66 citations in OpenAlex.
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- Metabolic adaptation pilots the differentiation of human hematopoietic cells.Life science alliance · 2024Article
- bHLH transcription factors cooperate with chromatin remodelers to regulate cell fate decisions during Arabidopsis stomatal development.PLoS biology · 2024Article
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- Understanding Cell Differentiation Through Single-Cell Approaches: Conceptual Challenges of the Systemic Approach.Methods in molecular biology (Clifton, N.J.) · 2024Article
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- Single-cell transcriptional uncertainty landscape of cell differentiation.F1000Research · 2023Article
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- Single-cell RNA sequencing in oral science: Current awareness and perspectives.Cell proliferation · 2022Review
- Global genome decompaction leads to stochastic activation of gene expression as a first step toward fate commitment in human hematopoietic cells.PLoS biology · 2022Article
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- Detecting critical transition signals from single-cell transcriptomes to infer lineage-determining transcription factors.Nucleic acids research · 2022Article
- Evidence for close molecular proximity between reverting and undifferentiated cells.BMC biology · 2022Article
- Hematopoietic differentiation is characterized by a transient peak of entropy at a single-cell level.BMC biology · 2022Article
- Reduction of a stochastic model of gene expression: Lagrangian dynamics gives access to basins of attraction as cell types and metastabilty.Journal of mathematical biology · 2021Article
- Reverse engineering of a mechanistic model of gene expression using metastability and temporal dynamics.In silico biology · 2021Article
- A Similar Speciation Process Relying on Cellular Stochasticity in Microbial and Cancer Cell Populations.iScience · 2020Review
- Multiple Myeloma as a Bone Disease? The Tissue Disruption-Induced Cell Stochasticity (TiDiS) Theory.Cancers · 2020Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Individual cells take lineage commitment decisions in a way that is not necessarily uniform. We address this issue by characterising transcriptional changes in cord blood-derived CD34+ cells at the single-cell level and integrating data with cell division history and morphological changes determined by time-lapse microscopy. We show that major transcriptional changes leading to a multilineage-primed gene expression state occur very rapidly during the first cell cycle. One of the 2 stable lineage-primed patterns emerges gradually in each cell with variable timing. Some cells reach a stable morphology and molecular phenotype by the end of the first cell cycle and transmit it clonally. Others fluctuate between the 2 phenotypes over several cell cycles. Our analysis highlights the dynamic nature and variable timing of cell fate commitment in hematopoietic cells, links the gene expression pattern to cell morphology, and identifies a new category of cells with fluctuating phenotypic characteristics, demonstrating the complexity of the fate decision process (which is different from a simple binary switch between 2 options, as it is usually envisioned).
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