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Quantitative Proteomic Analysis of Changes Related to Age and Calorie Restriction in Rat Liver Tissue

Title
Quantitative Proteomic Analysis of Changes Related to Age and Calorie Restriction in Rat Liver Tissue
Authors
Kim, YounAhKwon, Oh KwangChae, Se HyunJung, Hee-JungAhn, SanghyunJeon, Ju MiSung, EunjiKim, SunJooKi, Sung HwanChung, Ki WungChung, Hae YoungJung, Young SukHwang, Dae HeeLee, Sangkyu
DGIST Authors
Hwang, Dae Hee
Issue Date
2018-03
Citation
Proteomics, 18(5-6)
Type
Article
Article Type
Article
Keywords
Gene-ExpressionOxidative StressDatabase SearchHumansLifeIdentificationIntegrationHomeostasisProteinsPrimates
ISSN
1615-9853
Abstract
Calorie restriction (CR) is the most frequently studied mechanism for increasing longevity, protecting against stress, and delaying age-associated diseases. Most studies have initiated CR in young animals to determine the protective effects against aging. Although aging phenomena are well-documented, the molecular mechanisms of aging and CR remain unclear. In this study, we observe changes in hepatic proteins upon age-related and diet-restricted changes in the rat liver using quantitative proteomics. Quantitative proteomes are measured using tandem mass tag labeling followed by LC-MS/MS. We compare protein levels in livers from young (6 months old) and old (25 months old) rats with 40% calorie-restricted (YCR and OCR, respectively) or ad libitum diets. In total, 44 279 peptides and 3134 proteins are identified and 260 differentially expressed proteins are found. Functional enrichment analysis show that these proteins are mainly involved in glucose and fatty acid metabolism-related processes, consistent with the theory that energy metabolism regulation is dependent on age-related and calorie-restricted changes in liver tissue. In addition, proteins mediating inflammation and gluconeogenesis are increased in OCR livers, but not YCR livers. These results show that CR in old rats might not have antiaging benefits because liver inflammation is increased. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
URI
http://hdl.handle.net/20.500.11750/6210
DOI
10.1002/pmic.201700240
Publisher
WILEY
Related Researcher
  • Author Hwang, Daehee Systems Biology and Medicine Lab
  • Research Interests Multilayered spatiotemporal networks; Regulatory motifs or pathways; Metabolite-protein networks; Network stochasticity; Proteomics and informatics
Files:
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Collection:
Department of New BiologySystems Biology and Medicine Lab1. Journal Articles


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