Proteomics

Dataset Information

0

Defining the effects of genetic variation on a proteome-wide scale


ABSTRACT: Genetic variation governs protein expression through both transcriptional and post-transcriptional processes. To investigate this relationship, we combined a multiplexed, mass spectrometry-based method for protein quantification with an emerging mouse model harboring extensive genetic variation from 8 founder strains. We collected genome-wide mRNA and protein profiling measurements to link genetic variation to protein expression differences in livers from 192 diversity outcross mice. We observed nearly 3,700 protein-level quantitative trait loci (pQTL) with an equal proportion of proteins regulated directly by their cognate mRNA as uncoupled from their transcript. Our analysis reveals an extensive array of at least five models for genetic variant control of protein abundance including direct protein-to-protein associations that act to achieve stoichiometric balance of functionally related enzymes and subunits of multimeric complexes.

OTHER RELATED OMICS DATASETS IN: PRJNA295057PXD002801

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Mus Musculus (ncbitaxon:10090)

SUBMITTER: Steven Gygi  

PROVIDER: MSV000081696 | MassIVE | Wed Nov 08 18:15:00 GMT 2017

SECONDARY ACCESSION(S): PXD002801

REPOSITORIES: MassIVE

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1
altmetric image

Publications


Genetic variation modulates protein expression through both transcriptional and post-transcriptional mechanisms. To characterize the consequences of natural genetic diversity on the proteome, here we combine a multiplexed, mass spectrometry-based method for protein quantification with an emerging outbred mouse model containing extensive genetic variation from eight inbred founder strains. By measuring genome-wide transcript and protein expression in livers from 192 Diversity outbred mice, we ide  ...[more]

Similar Datasets

2016-06-15 | PXD002801 | Pride
2015-10-06 | GSE72759 | GEO
2013-10-18 | GSE50893 | GEO
2010-02-28 | E-GEOD-19480 | biostudies-arrayexpress
2010-02-28 | GSE19480 | GEO
2008-01-26 | GSE10237 | GEO
2015-06-02 | GSE59411 | GEO
2014-12-19 | PXD001406 | Pride
2009-03-23 | GSE9703 | GEO
| PRJEB7359 | ENA