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PXD002801 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleDefining the effects of genetic variation on a proteome-wide scale
DescriptionGenetic 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.
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterJoel Chick
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListmonohydroxylated residue
InstrumentOrbitrap Fusion
Dataset History
RevisionDatetimeStatusChangeLog Entry
02015-08-27 01:40:43ID requested
12016-06-15 14:28:30announced
22016-06-20 00:19:54announcedUpdated publication reference for PubMed record(s): 27309819.
Publication List
Chick JM, Munger SC, Simecek P, Huttlin EL, Choi K, Gatti DM, Raghupathy N, Svenson KL, Churchill GA, Gygi SP, Defining the consequences of genetic variation on a proteome-wide scale. Nature, 534(7608):500-5(2016) [pubmed]
Keyword List
curator keyword: Biological
submitter keyword: Proteomics, quantitative trait loci, TMT, Quantitative
Contact List
Steven Gygi
contact affiliationharvard medical school
contact emailsteve_gygi@hms.harvard.edu
lab head
Joel Chick
contact affiliationHarvard Medical School
contact emailchick.joel@gmail.com
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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