Literature DB >> 27936760

System-Wide Quantitative Proteomics of the Metabolic Syndrome in Mice: Genotypic and Dietary Effects.

Camille Terfve1, Eduard Sabidó2, Yibo Wu2, Emanuel Gonçalves1, Meena Choi3, Stefania Vaga2, Olga Vitek3, Julio Saez-Rodriguez1,4, Ruedi Aebersold2,5.   

Abstract

Advances in mass spectrometry have made the quantitative measurement of proteins across multiple samples a reality, allowing for the study of complex biological systems such as the metabolic syndrome. Although the deregulation of lipid metabolism and increased hepatic storage of triacylglycerides are known to play a part in the onset of the metabolic syndrome, its molecular basis and dependency on dietary and genotypic factors are poorly characterized. Here, we used an experimental design with two different mouse strains and dietary and metabolic perturbations to generate a compendium of quantitative proteome data using three mass spectrometric techniques. The data reproduce known properties of the metabolic system and indicate differential molecular adaptation of the two mouse strains to perturbations, contributing to a better understanding of the metabolic syndrome. We show that high-quality, high-throughput proteomic data sets provide an unbiased broad overview of the behavior of complex systems after perturbation.

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Keywords:  SWATH-MS; mass spectrometry; metabolic syndrome

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Year:  2017        PMID: 27936760     DOI: 10.1021/acs.jproteome.6b00815

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  3 in total

Review 1.  The tissue proteome in the multi-omic landscape of kidney disease.

Authors:  Markus M Rinschen; Julio Saez-Rodriguez
Journal:  Nat Rev Nephrol       Date:  2020-10-07       Impact factor: 28.314

Review 2.  Application of targeted mass spectrometry in bottom-up proteomics for systems biology research.

Authors:  Nathan P Manes; Aleksandra Nita-Lazar
Journal:  J Proteomics       Date:  2018-02-13       Impact factor: 4.044

3.  The Influence of Metabolic Syndrome and Sex on the DNA Methylome in Schizophrenia.

Authors:  Kyle J Burghardt; Jacyln M Goodrich; Brittany N Lines; Vicki L Ellingrod
Journal:  Int J Genomics       Date:  2018-04-03       Impact factor: 2.326

  3 in total

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