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Fluctuations in tissue growth portray homeostasis as a critical state and long-time non-Markovian cell proliferation as Markovian

Lavalle, Natalia G.; Chara, Osvaldo; Grigera, Tomás S.

Fluctuations in tissue growth portray homeostasis as a critical state and long-time non-Markovian cell proliferation as Markovian Thumbnail


Authors

Natalia G. Lavalle

Tomás S. Grigera



Abstract

Tissue growth is an emerging phenomenon that results from the cell-level interplay between proliferation and apoptosis, which is crucial during embryonic development, tissue regeneration, as well as in pathological conditions such as cancer. In this theoretical article, we address the problem of stochasticity in tissue growth by first considering a minimal Markovian model of tissue size, quantified as the number of cells in a simulated tissue, subjected to both proliferation and apoptosis. We find two dynamic phases, growth and decay, separated by a critical state representing a homeostatic tissue. Since the main limitation of the Markovian model is its neglect of the cell cycle, we incorporated a refractory period that temporarily prevents proliferation immediately following cell division, as a minimal proxy for the cell cycle, and studied the model in the growth phase. Importantly, we obtained from this last model an effective Markovian rate, which accurately describes general trends of tissue size. This study shows that the dynamics of tissue growth can be theoretically conceptualized as a Markovian process where homeostasis is a critical state flanked by decay and growth phases. Notably, in the growing non-Markovian model, a Markovian-like growth process emerges at large time scales.

Citation

Lavalle, N. G., Chara, O., & Grigera, T. S. (2023). Fluctuations in tissue growth portray homeostasis as a critical state and long-time non-Markovian cell proliferation as Markovian. Royal Society Open Science, 10(9), Article 230871. https://doi.org/10.1098/rsos.230871

Journal Article Type Article
Acceptance Date Aug 24, 2023
Online Publication Date Sep 13, 2023
Publication Date 2023-09
Deposit Date Sep 5, 2024
Publicly Available Date Sep 13, 2024
Journal Royal Society Open Science
Electronic ISSN 2054-5703
Publisher The Royal Society
Peer Reviewed Peer Reviewed
Volume 10
Issue 9
Article Number 230871
DOI https://doi.org/10.1098/rsos.230871
Keywords tissue, cell proliferation, non-Markovian model, time correlations, Markovian model
Public URL https://nottingham-repository.worktribe.com/output/25345007
Publisher URL https://royalsocietypublishing.org/doi/10.1098/rsos.230871

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