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

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.