Whole-cell energy modeling reveals quantitative changes of predicted energy flows in RAS mutant cancer cell lines.
Cellular physiology
Protein
Journal
iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038
Informations de publication
Date de publication:
17 Feb 2023
17 Feb 2023
Historique:
received:
08
06
2022
revised:
27
10
2022
accepted:
03
01
2023
entrez:
30
1
2023
pubmed:
31
1
2023
medline:
31
1
2023
Statut:
epublish
Résumé
Cellular utilization of available energy flows to drive a multitude of forms of cellular "work" is a major biological constraint. Cells steer metabolism to address changing phenotypic states but little is known as to how bioenergetics couples to the richness of processes in a cell as a whole. Here, we outline a whole-cell energy framework that is informed by proteomic analysis and an energetics-based gene ontology. We separate analysis of metabolic supply and the capacity to generate high-energy phosphates from a representation of demand that is built on the relative abundance of ATPases and GTPases that deliver cellular work. We employed mouse embryonic fibroblast cell lines that express wild-type KRAS or oncogenic mutations and with distinct phenotypes. We observe shifts between energy-requiring processes. Calibrating against Seahorse analysis, we have created a whole-cell energy budget with apparent predictive power, for instance in relation to protein synthesis.
Identifiants
pubmed: 36711246
doi: 10.1016/j.isci.2023.105931
pii: S2589-0042(23)00008-1
pmc: PMC9874014
doi:
Types de publication
Journal Article
Langues
eng
Pagination
105931Informations de copyright
© 2023 The Authors.
Déclaration de conflit d'intérêts
The authors declare no competing interests.
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