Research
Multi-omics-constrained kinetic models quantify pathway rewiring and predict metabolic vulnerabilities in BRCA1-deficient ovarian cancer
Cell Systems · By Ilias Toumpe, Maria Masid, Vassily Hatzimanikatis & Ljubisa Miskovic ·
The Brief
- Toumpe et al. built multi-omics-constrained, near-genome-scale kinetic ensembles for BRCA1-associated ovarian cancer metabolism.
- The models prioritize 28 enzyme-mediated vulnerabilities.
- The models predict target- and physiology-specific metabolic responses and identify a shared pathway-level pattern.
Why it matters
The study offers a computational framework for linking multi-omics data to kinetic models of cancer metabolism, which could help researchers choose enzyme targets for BRCA1-deficient ovarian cancer to test experimentally.
Who’s affected
- cancer biologists and metabolism researchers
- systems biologists working on kinetic modelling
- #cancer metabolism
- #brca1
- #ovarian cancer
- #kinetic modelling
- #multi-omics
- #metabolic vulnerabilities
Toumpe et al. construct multi-omics-constrained, near-genome-scale kinetic ensembles for BRCA1-associated ovarian cancer metabolism. The models prioritize 28 enzyme-mediated vulnerabilities, predict target- and physiology-specific metabolic responses, identify a shared…