<<< Full experiment listing

PXD004290-1

PXD004290 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleComparing the diagnostic classification accuracy of iTRAQ, peak-area, spectral-counting and emPAI methods for relative quantification in expression proteomics
DescriptionWe present a comparison of the diagnostic accuracy of iTRAQ with three label free methods (peak-area, spectral-counting, and emPAI) for relative quantification using a spiked proteome standard.
HostingRepositoryMassIVE
AnnounceDate2016-08-30
AnnouncementXMLSubmission_2016-08-30_01:13:06.xml
DigitalObjectIdentifier
ReviewLevelNon peer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterAdam Dowle
SpeciesList scientific name: Escherichia coli; NCBI TaxID: 562; scientific name: Bos taurus; common name: cattle; NCBI TaxID: 9913; scientific name: Gallus gallus; common name: chicken; NCBI TaxID: 9031; scientific name: Equus caballus; common name: horse; NCBI TaxID: 9796; scientific name: Saccharomyces cerevisiae; common name: baker's yeast; NCBI TaxID: 4932; scientific name: Oryctolagus cuniculus; common name: rabbit; NCBI TaxID: 9986;
ModificationListMethylthio; Deamidated; Glu->pyro-Glu; Gln->pyro-Glu; Phospho; iTRAQ8plex
InstrumentmaXis
Dataset History
RevisionDatetimeStatusChangeLog Entry
02016-06-08 05:46:57ID requested
12016-08-30 01:13:06announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: iTRAQ, Label free, Peak area, Spectral counting, emPAI, Relative quantification, Expression proteomics
Contact List
Adam A. Dowle
lab head
Adam Dowle
contact affiliationUniversity of York
contact emailadam.dowle@york.ac.uk
dataset submitter
Full Dataset Link List
MassIVE dataset URI
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://massive.ucsd.edu/MSV000079803