Abstract

Understanding cell fate selection remains a central challenge in developmental biology. We present a class of simple yet biologically-motivated mathematical models for cell differentiation that generically generate oscillations and hence suggest alternatives to the standard framework based on Waddington’s epigenetic landscape. The models allow us to suggest two generic dynamical scenarios that describe the differentiation process. In the first scenario gradual variation of a single control parameter is responsible for both entering and exiting the oscillatory regime. In the second scenario two control parameters vary: one responsible for entering, and the other for exiting the oscillatory regime. We analyse the standard repressilator and four variants of it and show the dynamical behaviours associated with each scenario. We present a thorough analysis of the associated bifurcations and argue that gene regulatory networks with these repressilator-like characteristics are promising candidates to describe
cell fate selection through an oscillatory process.
Original languageEnglish
Article number20210442
Number of pages22
JournalJournal of the Royal Society, Interface
Volume18
Issue number183
Early online date6 Oct 2021
DOIs
Publication statusPublished - 31 Oct 2021

Funding

We gratefully acknowledge Laura Hattam and Michael Thomas for helpful preliminary modelling work. R.N.K. gratefully acknowledges support from the Institute for Mathematical Innovation at the University of Bath that helped to advance this project in its early stages. Funding was provided by BBSRC grant nos BB/S01604X/1 (S.F. and A.R.) and BB/S015906/1 (K.C.S., J.H.P.D. and R.N.K.). Acknowledgements

FundersFunder number
Institute for Mathematical Innovation
Biotechnology and Biological Sciences Research CouncilBB/S015906/1, BB/S01604X/1

Keywords

  • differentiation
  • gene expression
  • gene regulatory network
  • multipotency
  • oscillation
  • stem cell

ASJC Scopus subject areas

  • Bioengineering
  • Biophysics
  • Biochemistry
  • Biotechnology
  • Biomedical Engineering
  • Biomaterials

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