| Literature DB >> 27936760 |
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.Entities:
Keywords: SWATH-MS; mass spectrometry; metabolic syndrome
Mesh:
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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