ArticlePLoS computational biology2015
The Role of Symmetric Stem Cell Divisions in Tissue Homeostasis.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 49 citations in OpenAlex.
- Longitudinal lineage tracing reveals early clonal attrition during Drosophila midgut aging.PLoS biology · 2026Article
- On Discretely Structured Growth Models and Their Moments.Bulletin of mathematical biology · 2025Article
- The molecular features of lung cancer stem cells in dedifferentiation process-driven epigenetic alterations.The Journal of biological chemistry · 2024Review
- A social science trust taxonomy with emergent vectors and symmetry.Frontiers in psychology · 2024Article
- Why are cell populations maintained via multiple compartments?Journal of the Royal Society, Interface · 2022Article
- Stem-like T cells and niches: Implications in human health and disease.Frontiers in immunology · 2022Review
- Understanding the influence of substrate when growing tumorspheres.BMC cancer · 2021Article
- Senescent cells and the incidence of age-related diseases.Aging cell · 2021Article
- Effect of feedback regulation on stem cell fractions in tissues and tumors: Understanding chemoresistance in cancer.Journal of theoretical biology · 2021Article
- Stochastic reaction networks in dynamic compartment populations.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Stem cell niche exit ineLife · 2020Article
- Modelling stem cell ageing: a multi-compartment continuum approach.Royal Society open science · 2020Article
- Mathematical modeling reveals the factors involved in the phenomena of cancer stem cells stabilization.PloS one · 2019Article
- Endometrial Stem Cells in Farm Animals: Potential Role in Uterine Physiology and Pathology.Bioengineering (Basel, Switzerland) · 2018Review
- Effect of cellular de-differentiation on the dynamics and evolution of tissue and tumor cells in mathematical models with feedback regulation.Journal of theoretical biology · 2018Article
- Stability of Control Networks in Autonomous Homeostatic Regulation of Stem Cell Lineages.Bulletin of mathematical biology · 2018Article
- Learning from regeneration research organisms: The circuitous road to scar free wound healing.Developmental biology · 2018Review
- Determining the control networks regulating stem cell lineages in colonic crypts.Journal of theoretical biology · 2017Article
- Mathematical models of tissue stem and transit target cell divisions and the risk of radiation- or smoking-associated cancer.PLoS computational biology · 2017Article
- The role of cell location and spatial gradients in the evolutionary dynamics of colon and intestinal crypts.Biology direct · 2016Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Successful maintenance of cellular lineages critically depends on the fate decision dynamics of stem cells (SCs) upon division. There are three possible strategies with respect to SC fate decision symmetry: (a) asymmetric mode, when each and every SC division produces one SC and one non-SC progeny; (b) symmetric mode, when 50% of all divisions produce two SCs and another 50%-two non-SC progeny; (c) mixed mode, when both the asymmetric and two types of symmetric SC divisions co-exist and are partitioned so that long-term net balance of the lineage output stays constant. Theoretically, either of these strategies can achieve lineage homeostasis. However, it remains unclear which strategy(s) are more advantageous and under what specific circumstances, and what minimal control mechanisms are required to operate them. Here we used stochastic modeling to analyze and quantify the ability of different types of divisions to maintain long-term lineage homeostasis, in the context of different control networks. Using the example of a two-component lineage, consisting of SCs and one type of non-SC progeny, we show that its tight homeostatic control is not necessarily associated with purely asymmetric divisions. Through stochastic analysis and simulations we show that asymmetric divisions can either stabilize or destabilize the lineage system, depending on the underlying control network. We further apply our computational model to biological observations in the context of a two-component lineage of mouse epidermis, where autonomous lineage control has been proposed and notable regional differences, in terms of symmetric division ratio, have been noted-higher in thickened epidermis of the paw skin as compared to ear and tail skin. By using our model we propose a possible explanation for the regional differences in epidermal lineage control strategies. We demonstrate how symmetric divisions can work to stabilize paw epidermis lineage, which experiences high level of micro-injuries and a lack of hair follicles as a back-up source of SCs.
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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.