Quantitative time-course metabolomics in human red blood cells reveal the temperature dependence of human metabolic networks.

ABSTRACT: The temperature dependence of biological processes has been studied at the levels of individual biochemical reactions and organism physiology (e.g. basal metabolic rates) but has not been examined at the metabolic network level. Here, we used a systems biology approach to characterize the temperature dependence of the human red blood cell (RBC) metabolic network between 4 and 37 °C through absolutely quantified exo- and endometabolomics data. We used an Arrhenius-type model (Q₁₀) to describe how the rate of a biochemical process changes with every 10 °C change in temperature. Multivariate statistical analysis of the metabolomics data revealed that the same metabolic network-level trends previously reported for RBCs at 4 °C were conserved but accelerated with increa

SUBMITTER: Yurkovich JT 

PROVIDER: S-EPMC5712598 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature