ArticleBulletin of mathematical biology2018
Stability of Control Networks in Autonomous Homeostatic Regulation of Stem Cell Lineages.
Article in Bulletin of mathematical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A damage-structured PDE model of stem cell hierarchies: The dual role of dedifferentiation in tissue homeostasis and aging.PloS one · 2026Article
- Spatial dynamics of feedback and feedforward regulation in cell lineages.PLoS computational biology · 2022Article
- Effect of feedback regulation on stem cell fractions in tissues and tumors: Understanding chemoresistance in cancer.Journal of theoretical biology · 2021Article
- Modelling stem cell ageing: a multi-compartment continuum approach.Royal Society open science · 2020Article
- A compartment size-dependent selective threshold limits mutation accumulation in hierarchical tissues.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- 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
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Authors and funding
2 authors.
Funding
Abstract
Design principles of biological networks have been studied extensively in the context of protein-protein interaction networks, metabolic networks, and regulatory (transcriptional) networks. Here we consider regulation networks that occur on larger scales, namely the cell-to-cell signaling networks that connect groups of cells in multicellular organisms. These are the feedback loops that orchestrate the complex dynamics of cell fate decisions and are necessary for the maintenance of homeostasis in stem cell lineages. We focus on "minimal" networks that are those that have the smallest possible numbers of controls. For such minimal networks, the number of controls must be equal to the number of compartments, and the reducibility/irreducibility of the network (whether or not it can be split into smaller independent sub-networks) is defined by a matrix comprised of the cell number increments induced by each of the controlled processes in each of the compartments. Using the formalism of digraphs, we show that in two-compartment lineages, reducible systems must contain two 1-cycles, and irreducible systems one 1-cycle and one 2-cycle; stability follows from the signs of the controls and does not require magnitude restrictions. In three-compartment systems, irreducible digraphs have a tree structure or have one 3-cycle and at least two more shorter cycles, at least one of which is a 1-cycle. With further work and proper biological validation, our results may serve as a first step toward an understanding of ways in which these networks become dysregulated in cancer.
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