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Compensatory Islet Response to Insulin Resistance Revealed by Quantitative Proteomics

Cited 20 time in Web of Science Cited 19 time in Scopus
Authors

El Ouaamari, Abdelfattah; Zhou, Jian-Ying; Liew, Chong Wee; Shirakawa, Jun; Dirice, Ercument; Gedeon, Nicholas; Kahraman, Sevim; De Jesus, Dario F.; Bhatt, Shweta; Kim, Jong-Seo; Clauss, Therese R. W.; Camp, David G.; Smith, Richard D.; Qian, Wei-Jun; Kulkarni, Rohit N.

Issue Date
2015-08
Publisher
American Chemical Society
Citation
Journal of Proteome Research, Vol.14 No.8, pp.3111-3122
Abstract
© 2015 American Chemical Society.Compensatory islet response is a distinct feature of the prediabetic insulin-resistant state in humans and rodents. To identify alterations in the islet proteome that characterize the adaptive response, we analyzed islets from 5 month old male control, high-fat diet fed (HFD), or obese ob/ob mice by LC-MS/MS and quantified ∼1100 islet proteins (at least two peptides) with a false discovery rate < 1%. Significant alterations in abundance were observed for ∼350 proteins among groups. The majority of alterations were common to both models, and the changes of a subset of ∼40 proteins and 12 proteins were verified by targeted quantification using selected reaction monitoring and western blots, respectively. The insulin-resistant islets in both groups exhibited reduced expression of proteins controlling energy metabolism, oxidative phosphorylation, hormone processing, and secretory pathways. Conversely, an increased expression of molecules involved in protein synthesis and folding suggested effects in endoplasmic reticulum stress response, cell survival, and proliferation in both insulin-resistant models. In summary, we report a unique comparison of the islet proteome that is focused on the compensatory response in two insulin-resistant rodent models that are not overtly diabetic. These data provide a valuable resource of candidate proteins to the scientific community to undertake further studies aimed at enhancing β-cell mass in patients with diabetes. The data are available via the MassIVE repository, under accession no. MSV000079093.
ISSN
1535-3893
URI
https://hdl.handle.net/10371/201894
DOI
https://doi.org/10.1021/acs.jproteome.5b00587
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  • College of Natural Sciences
  • School of Biological Sciences
Research Area Molecular Interactomics, Proteomics, Systems Biology, 단백체학, 분자상호작용체학, 시스템생물학

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