<<< Full experiment listing

PXD000225

PXD000225 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitlePhosphoproteomics study on protein kinase C delta induced cell death
DescriptionThe proteolytic activation of protein kinase C delta generates a catalytic fragment called PKC delta-CF, which induces cell death. However, the mechanisms underlying PKC delta-CF-mediated cell death are largely unknown. On the basis of an engineering leukemic cell line with inducible expression of PKC delta-CF, here we employ SILAC-based quantitative phosphoproteomics to systematically and dynamically investigate the overall phosphorylation events during cell death triggered by PKC delta-CF expression. Totally, 3000 phosphorylation sites were analyzed. We combined SILAC for quantitation, strong-cation exchange chromatography and titanium dioxide chromatography for phosphopeptide enrichment, and high-accuracy mulistage MS. All MS/MS ion spectra were analyzed using Sequest version v.27, rev. 1146 (Thermo Fisher Scientific, San Jose, CA) which were incorporated into the Sorcerer engine version 4.0.4 build (Sage-N Research). Sequest were set up to search the ipi.HUMAN.v3.65 database (86379 entries) (ftp.ebi.ac.uk/pub/data bases/IPI/current) with its target-decoy database as a reversed complement assuming the semi-enzyme tryptic digestion allowed for three missed tryptic cleavages with full mass from 600 to 4600. The precursor ion tolerance was set to ±10 p.p.m and MS2 ions tolerance was set to 1 Da. Searches parameters for non-phosphopeptides were allowed for a static modification of Carbamidomethyl cysteine (C, +57.021465) and dynamic modifications of oxidized methionine (M, +15.99492) on, SILAC-labeled lysine (K, 6C2N, +8.014199) on and SILAC-labeled arginine (R, 6C4N, +10.008269) with up to 4 total dynamic modifications and up to 3 of any particular dynamic modification. In addition, searches for phosphopeptides were allowed for dynamic modifications of phosphorylation serine (S), threonine (T), and tyrosine (Y) (+79.966331) with up to 6 total dynamic modifications and up to 4 of any particular dynamic modification. The ASCORE algorithm was selected to assess the possibility of phosphorylation sites. DATSelect 2.0.39 was used to filter and group the data files derived from SORCERER-SEQUEST. The filter thresholds were set to XCorr 2+, 3+, 4+: > 2.5, > 3.0, > 3.5 and DeltaCN > 0.08. For protein identification, two peptides were required with estimated false-discovery rates (FDR) < 1%. For phosphopeptide identification, only unique peptide was required with FDR <2%, whereas DeltaCN should be adjusted to >0.125 if the FDR for phosphopeptide assignments was >2%. Furthermore, additional filtering was used to remove those indubitably false phosphopeptides, including sequences that contained both heavy and light isotopic variants of arginine and lysine. Finally, the FDR fall within 1%.
HostingRepositoryPRIDE
AnnounceDate2013-08-08
AnnouncementXMLSubmission_2013-08-08_08:17:19.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterLi Xia
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListphosphorylated residue; iodoacetamide derivatized residue; monohydroxylated residue; 6x(13)C: 2x(15)N labeled L-lysine; 6x(13)C: 4x(15)N labeled L-arginine
InstrumentLTQ Orbitrap
Dataset History
RevisionDatetimeStatusChangeLog Entry
02013-04-25 01:42:42ID requested
12013-07-26 10:57:37announced
12014-07-25 01:05:11announced
22013-08-08 08:17:19announcedAdd reference
Publication List
Xia L, Wang TD, Shen SM, Zhao M, Sun H, He Y, Xie L, Wu ZX, Han SF, Wang LS, Chen GQ, -induced cell death. J Proteome Res, 12(10):4280-301(2013) [pubmed]
Keyword List
submitter keyword: pkcdelta phosphoproteomics apoptosis
Contact List
Li Xia
contact affiliationPathophysiology
contact emaillaurent_xia@yahoo.com.cn
Full Dataset Link List
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://ftp.pride.ebi.ac.uk/2013/07/PXD000225