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PXD012784

PXD012784 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMouse skin technical replicate negative control
DescriptionMultivariate regression modelling provides a statistically powerful means of quantifying the effects of a given treatment while compensating for sources of variation and noise, such as variability between human donors and the behaviour of different peptides during mass spectrometry. However, methods to quantify endogenous post-translational modifications (PTMs) are typically reliant on summary statistical methods that fail to consider sources of variability such as changes in levels of the parent protein. Here, we compare three multivariate regression methods, including a novel Bayesian elastic net algorithm (BayesENproteomics) that enables assessment of relative protein abundances while also quantifying identified PTMs for each protein. We tested the ability of these methods to accurately quantify expression of proteins in a mixed-species benchmark experiment, and to quantify synthetic PTMs induced by stable isotope labelling. Finally, we extended our regression pipeline to calculate fold changes at the pathway level, providing a complement to commonly used enrichment analysis. Our results show that BayesENproteomics can quantify changes to protein levels across a broad dynamic range while also accurately quantifying PTM and pathway-level fold changes.
HostingRepositoryPRIDE
AnnounceDate2020-04-27
AnnouncementXMLSubmission_2020-04-26_22:55:46.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterVenkatesh Mallikarjun
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListphosphorylated residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02019-02-19 05:20:31ID requested
12019-03-11 17:36:07announced
22020-04-26 22:55:48announced2020-04-27: Updated publication reference for PubMed record(s): 32319298.
Publication List
Mallikarjun V, Richardson SM, Swift J, BayesENproteomics: Bayesian Elastic Nets for Quantification of Peptidoforms in Complex Samples. J Proteome Res, 19(6):2167-2184(2020) [pubmed]
Keyword List
curator keyword: Technical
submitter keyword: BayesENProteomics, Mouse skin, negative control
Contact List
Joe Swift
contact affiliationDivision of Cell Matrix Biology & Regenerative Medicine (L5) / Division of Cell Matrix Biology & Regenerative Medicine, University of Manchester
contact emailjoe.swift@manchester.ac.uk
lab head
Venkatesh Mallikarjun
contact affiliationUniversity of Manchester
contact emailvenkatesh.mallikarjun@manchester.ac.uk
dataset submitter
Full Dataset Link List
Dataset FTP location
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