Quantitative proteomics analysis reveals glutamine deprivation activates fatty acid β-oxidation pathway in HepG2 cells

B Long, R Muhamad, G Yan, J Yu, Q Fan, Z Wang, X Li…�- Amino Acids, 2016 - Springer
B Long, R Muhamad, G Yan, J Yu, Q Fan, Z Wang, X Li, A Purnomoadi, J Achmadi, X Yan
Amino Acids, 2016Springer
Glutamine, a multifunctional amino acid, functions in nutrient metabolism, energy balance,
apoptosis, and cell proliferation. Lipid is an important nutrient and controls a broad range of
physiological processes. Previous studies have demonstrated that glutamine can affect
lipolysis and lipogenesis, but the effect of glutamine on the detailed lipid metabolism
remains incompletely understood. Here, we applied the quantitative proteomics approach to
estimate the relative abundance of proteins in HepG2 cells treated by glutamine deprivation�…
Abstract
Glutamine, a multifunctional amino acid, functions in nutrient metabolism, energy balance, apoptosis, and cell proliferation. Lipid is an important nutrient and controls a broad range of physiological processes. Previous studies have demonstrated that glutamine can affect lipolysis and lipogenesis, but the effect of glutamine on the detailed lipid metabolism remains incompletely understood. Here, we applied the quantitative proteomics approach to estimate the relative abundance of proteins in HepG2 cells treated by glutamine deprivation. The results showed that there were 212 differentially abundant proteins in response to glutamine deprivation, including 150 significantly increased proteins and 62 significantly decreased proteins. Interestingly, functional classification showed that 43 differentially abundant proteins were related to lipid metabolism. Further bioinformatics analysis and western blotting validation revealed that lipid accumulation may be affected by β-oxidation of fatty acid induced by glutamine deprivation in HepG2 cells. Together, our results may provide the potential for regulating lipid metabolism by glutamine in animal production and human nutrition. The MS data have been deposited to the ProteomeXchange Consortium with identifier PXD003387.
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