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Effect of high fat diet on proteome in mice stomachs / 生物工程学报
Chinese Journal of Biotechnology ; (12): 1840-1849, 2018.
Article in Chinese | WPRIM | ID: wpr-776285
ABSTRACT
To explore the effect of high fat diet on proteome in mice stomachs, we constructed a model in which the mice were fed with high fat diet as the high fat diet (HFD) group or normal diet as the control (CTRL) group for 110 days. The stomachs were collected and divided into three regions (forestomach (F), corpus (C) and antrum (A)) for protein extraction and mass spectrometry analysis. Of all 9 307 identified proteins in two groups, 4 066 proteins (HFD 3 832, CTRL 3 654) were strictly identified by at least one unique peptide and identified twice in three replicates. Using gene ontology (GO) and interaction network analysis we analyzed differentially expressed proteins (fold change≥2) in two groups or between regions. In the whole stomach tissues, proteins up-regulated in HFD group mainly were associated with protein stabilization and protein transport. Differentially expressed proteins between regions showed that forestomach was related to the biological process of keratinization and actin assembly, while corpus and antrum mainly performed digestive function. Compared with forestomach, the corpus and antrum were more affected by the diet. Though there was no significant effect on the basic digestive function of the stomach, proteins that were involved in protein transport and lipid metabolism-related biological processes were significantly highly expressed in HFD group.
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Physiology / Stomach / Proteome / Protein Transport / Lipid Metabolism / Diet, High-Fat / Mice, Inbred C57BL Limits: Animals Language: Chinese Journal: Chinese Journal of Biotechnology Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Physiology / Stomach / Proteome / Protein Transport / Lipid Metabolism / Diet, High-Fat / Mice, Inbred C57BL Limits: Animals Language: Chinese Journal: Chinese Journal of Biotechnology Year: 2018 Type: Article