Mitochondrial protein functions elucidated by multi-omic mass spectrometry profiling

通过多组学质谱分析阐明线粒体蛋白质的功能

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作者:Jonathan A Stefely #, Nicholas W Kwiecien #, Elyse C Freiberger, Alicia L Richards, Adam Jochem, Matthew J P Rush, Arne Ulbrich, Kyle P Robinson, Paul D Hutchins, Mike T Veling, Xiao Guo, Zachary A Kemmerer, Kyle J Connors, Edna A Trujillo, Jacob Sokol, Harald Marx, Michael S Westphall, Alexander S

Abstract

Mitochondrial dysfunction is associated with many human diseases, including cancer and neurodegeneration, that are often linked to proteins and pathways that are not well-characterized. To begin defining the functions of such poorly characterized proteins, we used mass spectrometry to map the proteomes, lipidomes, and metabolomes of 174 yeast strains, each lacking a single gene related to mitochondrial biology. 144 of these genes have human homologs, 60 of which are associated with disease and 39 of which are uncharacterized. We present a multi-omic data analysis and visualization tool that we use to find covariance networks that can predict molecular functions, correlations between profiles of related gene deletions, gene-specific perturbations that reflect protein functions, and a global respiration deficiency response. Using this multi-omic approach, we link seven proteins including Hfd1p and its human homolog ALDH3A1 to mitochondrial coenzyme Q (CoQ) biosynthesis, an essential pathway disrupted in many human diseases. This Resource should provide molecular insights into mitochondrial protein functions.

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