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Lang, P.F.* ; Penas, D.R.* ; Banga, J.R.* ; Weindl, D. ; Novak, B.*

Reusable rule-based cell cycle model explains compartment-resolved dynamics of 16 observables in RPE-1 cells.

PLoS Comput. Biol. 20:e1011151 (2024)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
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The mammalian cell cycle is regulated by a well-studied but complex biochemical reaction system. Computational models provide a particularly systematic and systemic description of the mechanisms governing mammalian cell cycle control. By combining both state-of-the-art multiplexed experimental methods and powerful computational tools, this work aims at improving on these models along four dimensions: model structure, validation data, validation methodology and model reusability. We developed a comprehensive model structure of the full cell cycle that qualitatively explains the behaviour of human retinal pigment epithelial-1 cells. To estimate the model parameters, time courses of eight cell cycle regulators in two compartments were reconstructed from single cell snapshot measurements. After optimisation with a parallel global optimisation metaheuristic we obtained excellent agreements between simulations and measurements. The PEtab specification of the optimisation problem facilitates reuse of model, data and/or optimisation results. Future perturbation experiments will improve parameter identifiability and allow for testing model predictive power. Such a predictive model may aid in drug discovery for cell cycle-related disorders.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Systems Biology; Nuclear Import; Dna-damage; S-phase; Feedback; Localization; Transitions; Progression; Activation; Hysteresis
Language english
Publication Year 2024
HGF-reported in Year 2024
ISSN (print) / ISBN 1553-734X
e-ISSN 1553-7358
Quellenangaben Volume: 20, Issue: 1, Pages: , Article Number: e1011151 Supplement: ,
Publisher Public Library of Science (PLoS)
Publishing Place 1160 Battery Street, Ste 100, San Francisco, Ca 94111 Usa
Reviewing status Peer reviewed
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-553800-001
Grants MCIN/AEI
Scopus ID 85182000707
PubMed ID 38190398
Erfassungsdatum 2024-01-16