Proteomics

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Proteomics analysis of white adipose tissue in high fat diet fed mice


ABSTRACT: The popularity of high fat foods in modern society has been associated with epidemic of various metabolic diseases characterized by insulin resistance, the pathology of which involves complex interactions between multiple tissues such as liver, skeletal muscle and white adipose tissue (WAT). To uncover the mechanism by which excessive fat impairs insulin sensitivity, we conducted a multi- tissue study by using TMT-based quantitative proteomics. 3-week-old ICR mice were fed with high fat diet (HFD) for 19 weeks to induce insulin resistance. Liver, skeletal muscle and epididymal fat were collected for proteomics screening. Additionally, PRM was used for validating adipose differential proteins. By comparing tissue-specific protein profiles of HFD mice, multi-tissue regulation of glucose and lipid homeostasis and corresponding underlying mechanisms was systematically investigated and characterized.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Skeletal Muscle, Liver, White Adipose Tissue

SUBMITTER: Linlin Yang  

LAB HEAD: Huijuan Ma

PROVIDER: PXD021019 | Pride | 2022-04-04

REPOSITORIES: Pride

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Publications

Adipose Dysfunction in Adulthood Insulin Resistance of Low-Birth Weight Mice: A Proteomics Study.

Wang Jun J   Yang Linlin L   Yang Linquan L   Zhou Fei F   Zhao Hang H   Liu Jing J   Ma Huijuan H   Song Guangyao G  

Diabetes, metabolic syndrome and obesity : targets and therapy 20220316


<h4>Purpose</h4>To investigate changes in the protein expression profile of white adipose tissue in low-birth weight (LBW) mice with high-fat diets using tandem mass tag (TMT) and liquid chromatography-mass spectrometry (LC-MS/MS) and parallel reaction monitoring (PRM).<h4>Methods</h4>Institute of Cancer Research (ICR) mice were used to establish an LBW model using malnutrition during pregnancy. Male pups were randomly selected from LBW and normal-birth weight (NBW) offspring, then all given a h  ...[more]

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