PXD017339

PXD017339 is an original dataset announced via ProteomeXchange.

Dataset Summary

Title	Maximizing Confidence and Sensitivity in quantitative Phosphoproteomics - Targets of Mec1 kinase
Description	Proteome-wide analysis of phosphorylation events is a challenging, yet essential, task for the comprehensive and unbiased investigation of kinase action. Here we developed a phosphoproteomic approach in which quantitation consistency among reversed isotopically labeled samples is used as a central filtering rule for achieving reliability with minimal loss of data content. Exclusion of non-reverting data-points from the dataset not only reduces quantitation error and variation, but also reduces false positive identifications. Application of our approach identified new substrates of the Mec1 kinase.
HostingRepository	MassIVE
AnnounceDate	2021-01-25
AnnouncementXML	Submission_2021-01-25_06:28:44.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Supported dataset by repository
PrimarySubmitter	Vitor Faca
SpeciesList	scientific name: Saccharomyces cerevisiae; common name: baker's yeast; NCBI TaxID: 4932;
ModificationList	Phospho; Label:13C(6)15N(2); Label:13C(6)15N(4)
Instrument	instrument model

Dataset History

Revision	Datetime	Status	ChangeLog Entry
0	2020-01-30 18:19:59	ID requested
⏵ 1	2021-01-25 06:28:45	announced

Publication List

Faca VM, Sanford EJ, Tieu J, Comstock W, Gupta S, Marshall S, Yu H, Smolka MB, Maximized quantitative phosphoproteomics allows high confidence dissection of the DNA damage signaling network. Sci Rep, 10(1):18056(2020) [pubmed]

Faca VM, Sanford EJ, Tieu J, Comstock W, Gupta S, Marshall S, Yu H, Smolka MB, Maximized quantitative phosphoproteomics allows high confidence dissection of the DNA damage signaling network. Sci Rep, 10(1):18056(2020) [pubmed]

Keyword List

submitter keyword: Quantitative Phosphoproteomics, Mec1 kinase targets

submitter keyword: Quantitative Phosphoproteomics, Mec1 kinase targets

Contact List

Marcus Smolka
contact affiliation	Cornell University
contact email	mbs266@cornell.edu
lab head
Vitor Faca
contact affiliation	University of Sao Paulo
contact email	vitor.faca@fmrp.usp.br
dataset submitter

Full Dataset Link List

MassIVE dataset URI
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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/MSV000084875/