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A Model for the Proliferation–Quiescence Transition in Human Cells
University of Zimbabwe, Zimbabwe.ORCID iD: 0000-0001-8933-0644
Bindura University of Science Education, Zimbabwe.
University of Zaragoza, Spain.ORCID iD: 0000-0002-9832-0955
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-9743-8636
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2022 (English)In: Mathematics, E-ISSN 2227-7390, Vol. 10, no 14, article id 2426Article in journal (Refereed) Published
Abstract [en]

The process of revitalising quiescent cells in order for them to proliferate plays a pivotalrole in the repair of worn-out tissues as well as for tissue homeostasis. This process is also crucialin the growth, development and well-being of higher multi-cellular organisms such as mammals.Deregulation of proliferation-quiescence transition is related to many diseases, such as cancer. Recentstudies have revealed that this proliferation–quiescence process is regulated tightly by the Rb − E2Fbistable switch mechanism. Based on experimental observations, in this study, we formulate amathematical model to examine the effect of the growth factor concentration on the proliferation–quiescence transition in human cells. Working with a non-dimensionalised model, we prove thepositivity, boundedness and uniqueness of solutions. To understand model solution behaviour closeto bifurcation points, we carry out bifurcation analysis, which is further illustrated by the use ofnumerical bifurcation analysis, sensitivity analysis and numerical simulations. Indeed, bifurcationand numerical analysis of the model predicted a transition between bistable and stable states, whichare dependent on the growth factor concentration parameter (GF). The derived predictions confirmexperimental observations.

Place, publisher, year, edition, pages
MDPI, 2022. Vol. 10, no 14, article id 2426
Keywords [en]
cell cycle; proliferation; quiescence; system of ODEs; bifurcation analysis; numerical bifurcation analysis; sensitivity analysis
National Category
Other Mathematics
Research subject
Mathematics
Identifiers
URN: urn:nbn:se:kau:diva-91357DOI: 10.3390/math10142426ISI: 000831985200001Scopus ID: 2-s2.0-85136169415OAI: oai:DiVA.org:kau-91357DiVA, id: diva2:1683167
Available from: 2022-07-14 Created: 2022-07-14 Last updated: 2026-02-12Bibliographically approved

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Kavallaris, Nikos I.

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Mapfumo, Kudzanayi Z.Juma, Victor OgesaKavallaris, Nikos I.Madzvamuse, Anotida
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