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PXD004025

PXD004025 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleAssessment of Label-Free Quantification in Discovery Proteomics and Impact of Technological Factors and Natural Variability of Protein Abundance
DescriptionProteome wide protein quantification has become facile in the last years supported by label-free discovery proteomics approaches and powerful, easy to use software. We set out to independently evaluate this highly peptide centric technology focusing on the performance of some of the currently most popular quantitative proteomics software, Proteome Discoverer, Scaffold, MaxQuant and Progenesis QIP. The sample to sample variability introduced into protein abundance estimates by the technology itself, thereby affecting the validity of changes in protein abundance reported to be biological in nature, was determined. Using the same experimental design we were interested in the potential of shotgun proteomics to uncover biological contributions to changes in protein abundance in essentially isogenic plants grown under the same environmental conditions. The accuracy, precision, limit of quantification, intra-analysis repeatability and other performance metrics of protein quantification were determined with the softwares’ ready-to-run, default parameters and some modified settings. MaxQuant and Progenesis QIP each had decided advantages and exhibited direct proportionality between measured and actual protein abundance. The inherent variability in protein quantification in measurements of Arabidopsis thaliana proteomes was substantially higher than the biological sample to sample variability. Strikingly, correlation between Arabidopsis proteins quantified with MaxQuant and Progenesis QIP was poor due to differential protein inference. Both of these points warrant caution in the interpretation of shotgun proteomics studies. The abundance of around 99% of proteins was constant in repeated sampling of the Arabdiopsis thaliana Col-0 inbred accession; however a handful showed substantial quantitative variability. The function stress/stimulus response was highly significantly overrepresented for these proteins. Heritable information beyond genetic polymorphism that affects gene expression levels has recently been documented for these functions. We speculate on the potential of discovery proteomics to measure gene expression levels as a conduit of the epigenotype shaping quantitative traits.
HostingRepositoryPRIDE
AnnounceDate2017-10-24
AnnouncementXMLSubmission_2017-10-24_04:04:27.xml
DigitalObjectIdentifierhttps://dx.doi.org/10.6019/PXD004025
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterWolfgang Hoehenwarter
SpeciesList scientific name: Arabidopsis thaliana (Mouse-ear cress); NCBI TaxID: 3702;
ModificationListOxidation; Carbamidomethyl
InstrumentLTQ Orbitrap Velos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02016-04-20 23:46:17ID requested
12017-03-07 01:59:43announced
22017-03-09 00:30:27announcedUpdated project metadata.
32017-10-24 04:04:29announcedUpdated project metadata.
Publication List
Al Shweiki MR, M, ö, nchgesang S, Majovsky P, Thieme D, Trutschel D, Hoehenwarter W, Assessment of Label-Free Quantification in Discovery Proteomics and Impact of Technological Factors and Natural Variability of Protein Abundance. J Proteome Res, 16(4):1410-1424(2017) [pubmed]
Keyword List
curator keyword: Technical, Biological
submitter keyword: Shotgun Proteomics, Label-free, Protein Inference, MaxQuant, Progenesis QIP, Scaffold, Arabidopsis, Epigenetics
Contact List
Wolfgang Hoehenwarter
contact affiliationLeibniz Institute of Plant Biochemistry
contact emailwolfgang.hoehenwarter@ipb-halle.de
lab head
Wolfgang Hoehenwarter
contact affiliationLeibniz Institute of Plant Biochemistry
contact emailwolfgang.hoehenwarter@ipb-halle.de
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
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