ArticlePloS one2008
Noise-driven stem cell and progenitor population dynamics.
Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed, 102 citations in OpenAlex.
- Revisiting Epithelial Carcinogenesis.International journal of molecular sciences · 2022Article
- A noble extended stochastic logistic model for cell proliferation with density-dependent parameters.Scientific reports · 2022Article
- A stochastic model of homeostasis: The roles of noise and nuclear positioning in deciding cell fate.iScience · 2021Article
- Modeling cell population dynamics.In silico biology · 2019Article
- Signalling and differentiation in emulsion-based multi-compartmentalized in vitro gene circuits.Nature chemistry · 2019Article
- Stochastic system identification without an a priori chosen kinetic model-exploring feasible cell regulation with piecewise linear functions.NPJ systems biology and applications · 2018Article
- Bistable Epigenetic States Explain Age-Dependent Decline in Mesenchymal Stem Cell Heterogeneity.Stem cells (Dayton, Ohio) · 2017Article
- CABeRNET: a Cytoscape app for augmented Boolean models of gene regulatory NETworks.BMC bioinformatics · 2016Article
- Mechanisms of blood homeostasis: lineage tracking and a neutral model of cell populations in rhesus macaques.BMC biology · 2015Article
- Control of cancer formation by intrinsic genetic noise and microenvironmental cues.Nature reviews. Cancer · 2015Review
- CDK6 levels regulate quiescence exit in human hematopoietic stem cells.Cell stem cell · 2015Article
- CoGNaC: A Chaste Plugin for the Multiscale Simulation of Gene Regulatory Networks Driving the Spatial Dynamics of Tissues and Cancer.Cancer informatics · 2015Article
- Automatising the analysis of stochastic biochemical time-series.BMC bioinformatics · 2015Article
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- Modeling the epigenetic attractors landscape: toward a post-genomic mechanistic understanding of development.Frontiers in genetics · 2015Review
- Flow cytometry-based functional selection of RNA interference triggers for efficient epi-allelic analysis of therapeutic targets.BMC biotechnology · 2014Article
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- Article
- Deconstructing stem cell population heterogeneity: single-cell analysis and modeling approaches.Biotechnology advances · 2013Review
- On the dynamical properties of a model of cell differentiation.EURASIP journal on bioinformatics & systems biology · 2013Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundThe balance between maintenance of the stem cell state and terminal differentiation is influenced by the cellular environment. The switching between these states has long been understood as a transition between attractor states of a molecular network. Herein, stochastic fluctuations are either suppressed or can trigger the transition, but they do not actually determine the attractor states. METHODOLOGY/PRINCIPAL
findingsWe present a novel mathematical concept in which stem cell and progenitor population dynamics are described as a probabilistic process that arises from cell proliferation and small fluctuations in the state of differentiation. These state fluctuations reflect random transitions between different activation patterns of the underlying regulatory network. Importantly, the associated noise amplitudes are state-dependent and set by the environment. Their variability determines the attractor states, and thus actually governs population dynamics. This model quantitatively reproduces the observed dynamics of differentiation and dedifferentiation in promyelocytic precursor cells. CONCLUSIONS/SIGNIFICANCE: Consequently, state-specific noise modulation by external signals can be instrumental in controlling stem cell and progenitor population dynamics. We propose follow-up experiments for quantifying the imprinting influence of the environment on cellular noise regulation.
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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.