bioRxivSystems BiologyPreprint
Inferring the Metabolic Objectives of Mammalian Cells via Inverse Modeling of Fluxomics and Metabolomics
James MorrisseyiD, Mariana MonteiroiD, Michael J. BetenbaughiD, Cleo KontoravdiiD
Abstract
Metabolism reflects evolutionary priorities that govern how cells allocate resources. In mammalian cells, metabolic objectives are layered and context-dependent, making it difficult to pinpoint the priorities that underlie observed phenotypes. Here, we introduce ObjFind-M, an inverse optimization framework that infers reaction-level metabolic objectives in mammalian cells directly from fluxomic and metabolomic data. Using Chinese hamster ovary (CHO) cells as a data-rich mammalian cell system, ObjFind-M consistently identifies mitochondrial ATP synthase as the central metabolic driver, supported by key TCA cycle and electron transport chain nodes. Priorities adjust with cellular state, favoring glycolysis-TCA coupling in the growth phase and shifting toward oxidative phosphorylation and redox balance when proliferative activity slows. High recombinant protein producing CHO cells emphasize citrate shuttling and beta-oxidation, linking energy supply with biosynthetic capacity for protein secretion. Benchmarking against conventional objectives demonstrates that maximizing ATP production most accurately reproduces experimental fluxes. By quantifying metabolic objectives directly from data rather than assuming them a priori, ObjFind-M provides a framework for identifying reaction-level strategies that shape cellular decision making. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/677837v1_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@5c507aorg.highwire.dtl.DTLVardef@a7b544org.highwire.dtl.DTLVardef@6db0d4org.highwire.dtl.DTLVardef@17464e2_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIObjFind-M, an inverse FBA framework, infers reaction-level metabolic objectives from fluxomic and metabolomic data. C_LIO_LIATP synthase (Complex V) emerges as the top reaction, supported by NADH-generating TCA reactions such as the -ketoglutarate dehydrogenase complex. C_LIO_LICHO cells suppress formation of toxic or wasteful byproducts while emphasizing energy-efficient flux routing. C_LIO_LIGrowth vs. non-growth phases reveal shifts between biosynthesis and oxidative phosphorylation. C_LIO_LIHigh recombinant protein producers emphasize citrate shuttling and beta-oxidation, linking energy with secretory capacity. C_LIO_LIATP demand maximization provides the most accurate generalizable FBA objective C_LI
- organism: mouse
- assay: metabolomics
- research focus: gene regulatory network inference
- research focus: cell type annotation
- research focus: trajectory inference
- research focus: differential expression
- approach: statistical model
- approach: optimal transport
- Citations
- 3
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