Whole-cell energy modeling reveals quantitative changes of predicted energy flows in RAS mutant cancer cell lines

全细胞能量模型揭示 RAS 突变癌细胞系中预测能量流的定量变化

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作者:Thomas Sevrin, Lisa Strasser, Camille Ternet, Philipp Junk, Miriam Caffarini, Stella Prins, Cian D'Arcy, Simona Catozzi, Giorgio Oliviero, Kieran Wynne, Christina Kiel, Philip J Luthert

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.

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