PXD017338-1
PXD017338 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | Maximizing Confidence and Sensitivity in quantitative Phosphoproteomics - Targets of Tel1 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 Tel1 kinases. |
HostingRepository | MassIVE |
AnnounceDate | 2021-01-25 |
AnnouncementXML | Submission_2021-01-25_06:30:34.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 10:39:46 | ID requested | |
⏵ 1 | 2021-01-25 06:30:35 | 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] |
Keyword List
submitter keyword: Quantitative Phosphoproteomics, Tel1 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 |
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/MSV000084871/ |