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PXD062635-1

PXD062635 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleA genome-to-proteome map reveals how natural variants drive proteome diversity and shape fitness
DescriptionUnderstanding how genetic variation translates into complex phenotypes remains a fundamental challenge. Here, we address this by mapping genome-to-proteome relationships in 800 progeny of a cross between two yeast strains adapted to distinct environments. Despite the modest genetic distance between the parents, we observed remarkable proteomic diversity and mapped over 6,400 genotype-protein associations, with more than 1,600 linked to individual genetic variants. Proteomic adaptation emerged from a conserved network of cis- and trans-regulatory variants, often originating from proteins not traditionally linked to gene regulation. This atlas allowed us to forecast organismal fitness effects across diverse conditions. By connecting genomic and proteomic landscapes at unprecedented resolution, our study provides a framework for predicting the phenotypic outcomes of natural genetic variation.
HostingRepositoryPRIDE
AnnounceDate2025-07-11
AnnouncementXMLSubmission_2025-07-11_15:36:24.105.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterJohannes Hartl
SpeciesList scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932;
ModificationListcarbamoylated residue; iodoacetamide derivatized residue
InstrumentZenoTOF 7600; timsTOF HT; TripleTOF 6600
Dataset History
RevisionDatetimeStatusChangeLog Entry
02025-04-04 23:53:20ID requested
12025-07-11 15:36:24announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: systems genetics, proteomics, adaptation, variant interpretation, genotype-phenotype mapping, transgression, protein quantitative trait loci
Contact List
Markus Ralser
contact affiliationCharité – Universitätsmedizin Berlin, Department of Biochemistry, 10117 Berlin, Germany
contact emailmarkus.ralser@charite.de
lab head
Johannes Hartl
contact affiliationBerlin Institute of Health at Charité - Universitätsmedizin Berlin
contact emailjohannes.hartl@charite.de
dataset submitter
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