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PXD005041

PXD005041 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleAbsolute quantification of yeast proteome
DescriptionProtein synthesis is the most energy consuming process in a proliferating cell, and understanding what controls protein abundances and how this impacts changes in metabolic fluxes is a key question in biology. We quantified mRNA and protein levels in Saccharomyces cerevisiae under ten environmental conditions. Linear correlation across all proteins predicted only 45% of the final protein abundances based on corresponding mRNAs, however, very good condition-dependent correlation was identified for individual proteins pointing to constant translation efficiency across the ten conditions. Hence, protein turnover was measured and combined with quantitative abundances to calculate translation efficiencies which were found to vary more than 400-fold. Non-linear regression analysis detected that mRNA abundance and translation elongation are the dominant factors controlling protein synthesis rate. Protein turnover was detected to play a minor role in determining protein levels, however, contributing markedly to overall cellular energy metabolism. Mitochondrial fluxes were detected to be the only major exception for flux control being at the posttranscriptional level. The here collected quantitative data provide a valuable resource for future studies.
HostingRepositoryPRIDE
AnnounceDate2024-10-22
AnnouncementXMLSubmission_2024-10-22_04:32:41.675.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterPetri-Jaan Lahtvee
SpeciesList scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02016-09-27 02:26:12ID requested
12017-03-07 02:20:49announced
22024-10-22 04:32:42announced2024-10-22: Updated project metadata.
Publication List
Dataset with its publication pending
Keyword List
ProteomeXchange project tag: benchmarking, peptide observability, machine learning
curator keyword: Biological
submitter keyword: osmolarity, chemostats, temperature, stress response, ethanol, protein turnover, integrative data analysis,Saccaromyces cerevisiae, absolute quantification
Contact List
Jens Nielsen
contact affiliationJens Nielsen, PhD, Dr. Tech. Professor Director of Systems and Synthetic Biology Chief Scientific Officer Novo Nordisk Foundation Center for Biosustainability Systems and Synthetic Biology Chalmers University of Technology Kemivägen 10 SE-412 96 Göteborg SWEDEN
contact emailnielsenj@chalmers.se
lab head
Petri-Jaan Lahtvee
contact affiliationUniversity of Tartu
contact emaillahtvee@ut.ee
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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