z-logo
open-access-imgOpen Access
Systems proteomics of liver mitochondria function
Author(s) -
Evan G. Williams,
Yibo Wu,
Pooja Jha,
Sébastien Dubuis,
Peter Blattmann,
Carmen Argmann,
Sander M. Houten,
Tiffany Amariuta,
Witold Wolski,
Nicola Zamboni,
Ruedi Aebersold,
Johan Auwerx
Publication year - 2016
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.aad0189
Subject(s) - proteome , proteomics , computational biology , biology , metabolome , metabolomics , transcriptome , genomics , genome , function (biology) , genetics , bioinformatics , gene , gene expression
Recent improvements in quantitative proteomics approaches, including Sequential Window Acquisition of all Theoretical Mass Spectra (SWATH-MS), permit reproducible large-scale protein measurements across diverse cohorts. Together with genomics, transcriptomics, and other technologies, transomic data sets can be generated that permit detailed analyses across broad molecular interaction networks. Here, we examine mitochondrial links to livermetabolism through the genome, transcriptome, proteome, and metabolome of 386 individuals in the BXD mouse reference population. Several links were validated between genetic variants toward transcripts, proteins, metabolites, and phenotypes. Among these, sequence variants in Cox7a2l alter its protein's activity, which in turn leads to downstream differences in mitochondrial supercomplex formation. This data set demonstrates that the proteome can now be quantified comprehensively, serving as a key complement to transcriptomics, genomics, andmetabolomics -a combination moving us forward in complex trait analysi

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom