{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["26(2)"],"submitter":["Sevrin T"],"pubmed_abstract":["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."],"journal":["iScience"],"pagination":["105931"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9874014"],"repository":["biostudies-literature"],"pubmed_title":["Whole-cell energy modeling reveals quantitative changes of predicted energy flows in RAS mutant cancer cell lines."],"pmcid":["PMC9874014"],"pubmed_authors":["Ternet C","Junk P","Wynne K","Caffarini M","Prins S","Luthert PJ","Kiel C","Catozzi S","Strasser L","Sevrin T","D'Arcy C","Oliviero G"],"additional_accession":[]},"is_claimable":false,"name":"Whole-cell energy modeling reveals quantitative changes of predicted energy flows in RAS mutant cancer cell lines.","description":"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.","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2025-04-26T13:19:47.994Z","creation":"2025-04-06T14:10:39.827Z"},"accession":"S-EPMC9874014","cross_references":{"pubmed":["36711246"],"doi":["10.1016/j.isci.2023.105931"]}}