Multi-Omics and Genome-Scale Modeling Reveal a Metabolic Shift During C. elegans Aging.

ABSTRACT: In this contribution, we describe a multi-omics systems biology study of the metabolic changes that occur during aging in Caenorhabditis elegans. Sampling several time points from young adulthood until early old age, our study covers the full duration of aging and include transcriptomics, and targeted MS-based metabolomics. In order to focus on the metabolic changes due to age we used two strains that are metabolically close to wild-type, yet are conditionally non-reproductive. Using these data in combination with a whole-genome model of the metabolism of C. elegans and mathematical modeling, we predicted metabolic fluxes during early aging. We find that standard Flux Balance Analysis does not accurately predict in vivo measured fluxes nor age-related changes associate

SUBMITTER: Hastings J 

PROVIDER: S-EPMC6372924 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature