Back to Search
Start Over
Quantitative time-course metabolomics in human red blood cells reveal the temperature dependence of human metabolic networks.
- Source :
-
The Journal of biological chemistry [J Biol Chem] 2017 Dec 01; Vol. 292 (48), pp. 19556-19564. Date of Electronic Publication: 2017 Oct 13. - Publication Year :
- 2017
-
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 ( Q <subscript>10</subscript> ) 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 increasing temperature. We calculated a median Q <subscript>10</subscript> coefficient of 2.89 ± 1.03, within the expected range of 2-3 for biological processes, for 48 individual metabolite concentrations. We then integrated these metabolomics measurements into a cell-scale metabolic model to study pathway usage, calculating a median Q <subscript>10</subscript> coefficient of 2.73 ± 0.75 for 35 reaction fluxes. The relative fluxes through glycolysis and nucleotide metabolism pathways were consistent across the studied temperature range despite the non-uniform distributions of Q <subscript>10</subscript> coefficients of individual metabolites and reaction fluxes. Together, these results indicate that the rate of change of network-level responses to temperature differences in RBC metabolism is consistent between 4 and 37 °C. More broadly, we provide a baseline characterization of a biochemical network given no transcriptional or translational regulation that can be used to explore the temperature dependence of metabolism.<br /> (© 2017 by The American Society for Biochemistry and Molecular Biology, Inc.)
Details
- Language :
- English
- ISSN :
- 1083-351X
- Volume :
- 292
- Issue :
- 48
- Database :
- MEDLINE
- Journal :
- The Journal of biological chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 29030425
- Full Text :
- https://doi.org/10.1074/jbc.M117.804914