ArticleInterface focus2018
Haematopoietic stem cells: entropic landscapes of differentiation.
Article in Interface focus, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Uncovering candidate Nanog-Helper genes in early mouse embryo differentiation using differential entropy and network inference.Scientific reports · 2025Article
- A system-level model reveals that transcriptional stochasticity is required for hematopoietic stem cell differentiation.NPJ systems biology and applications · 2024Article
- Multiscale chromatin dynamics and high entropy in plant iPSC ancestors.Journal of cell science · 2024Article
- T-cell commitment inheritance-an agent-based multi-scale model.NPJ systems biology and applications · 2024Article
- T-cell commitment inheritance - an agent-based multi-scale model.bioRxiv : the preprint server for biology · 2023Article
- The Growing Liberality Observed in Primary Animal and Plant Cultures is Common to the Social Amoeba.Journal of bioinformatics and systems biology : Open access · 2023Article
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- Article
- Hematopoietic differentiation is characterized by a transient peak of entropy at a single-cell level.BMC biology · 2022Article
- Transcriptome Dedifferentiation Observed in Animal Primary Cultures is Essential to Plant Reprogramming.Journal of bioinformatics and systems biology : Open access · 2022Article
- ORIGINS: A protein network-based approach to quantify cell pluripotency from scRNA-seq data.MethodsX · 2022Article
- Investigating higher-order interactions in single-cell data with scHOT.Nature methods · 2020Article
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Authors and funding
4 authors.
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Abstract
The metaphor of a potential epigenetic differentiation landscape broadly suggests that during differentiation a stem cell approaches a stable equilibrium state from a higher free energy towards a stable equilibrium state which represents the final cell type. It has been conjectured that there is an analogy to the concept of entropy in statistical mechanics. In this context, in the undifferentiated state, the entropy would be large since fewer constraints exist on the gene expression programmes of the cell. As differentiation progresses, gene expression programmes become more and more constrained and thus the entropy would be expected to decrease. In order to assess these predictions, we compute the Shannon entropy for time-resolved single-cell gene expression data in two different experimental set-ups of haematopoietic differentiation. We find that the behaviour of this entropy measure is in contrast to these predictions. In particular, we find that the Shannon entropy is not a decreasing function of developmental pseudo-time but instead it increases towards the time point of commitment before decreasing again. This behaviour is consistent with an increase in gene expression disorder observed in populations sampled at the time point of commitment. Single cells in these populations exhibit different combinations of regulator activity that suggest the presence of multiple configurations of a potential differentiation network as a result of multiple entry points into the committed state.
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