<<< Full experiment listing

PXD023925

PXD023925 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMudPIT PTMs analyses of whole cell protein extracts from Saccharomyces cerevisiae grown at 21C and 35C
DescriptionSample preparation, protein digestion, and MS data acquisition are described in MSV000086790. Post-translational Modification Searches | Peak files were extracted using RawDistiller and searched using ProLuCID (v. 1.3.3) against a database consisting of 5,846 S. cerevisiae non-redundant proteins (downloaded from NCBI 11-01-2016), 193 usual contaminants (such as human keratins, IgGs, and proteolytic enzymes), and, to estimate false discovery rates (FDRs), 6039 randomized amino acid sequences derived from each non-redundant protein entry. All cysteines were considered as fully carboxamidomethylated (+57.0215 Da statically added). The MS/MS dataset for the samples only digested with trypsin was further searched for modified peptides in a recursive manner. A total of eight differential modification searches were set up to query for oxidized methionines (+15.9949 Da) in combination with: 1) acetylated lysines, serines, and threonines (+42.0106 Da); 2) formylated arginines and lysines (+27.9949 Da); 3) hydroxylated aspartates, tyrosines, histidines, and prolines (+15.9949); 4) mono- (+14.0157 Da) and 5) dimethylated (+28.0314 Da) arginines and lysines; 6) trimethylated (+42.0470) lysines; 7) phosphorylated (+79.9663 Da) serines, threonines, and tyrosines; and 8) ubiquitinated lysines (+114.0429 Da). Mass tolerances of 7 ppm for precursor and 800 ppm for fragment ions were used. MS/MS datasets generated for trypsin-digested peptides were searched with KR peptide-end requirements. After this round of searches, an in-house software, sqt-merge (Zybailov et al 2005), was used to combine the ProLuCID output files (.sqt files) allowing only the best matches out of the eight differential queries to be ranked first based on cross-correlation scores (XCorr) and for normalized differences between XCorrs (DeltaCn) to be recalculated accordingly. DTASelect v1.9 and swallow v. 0.0.1 (https://github.com/tzw-wen/kite) were used to filter ProLuCID search results at given FDRs at the spectrum, peptide, and protein levels. Here, all controlled FDRs were less than 1%.
HostingRepositoryMassIVE
AnnounceDate2021-06-02
AnnouncementXMLSubmission_2021-06-02_08:17:03.655.xml
DigitalObjectIdentifier
ReviewLevelNon peer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterLaurence Florens
SpeciesList scientific name: Saccharomyces cerevisiae; common name: baker's yeast; NCBI TaxID: 4932;
ModificationListS-carboxamidomethyl-L-cysteine; L-methionine sulfoxide; N-acetylated L-lysine; acetylated L-serine; acetylated L-threonine; unknown modification; N6-formyl-L-lysine; 3-hydroxy-L-aspartic acid; monohydroxylated proline; 3-hydroxy-L-histidine; 3'-hydroxylation of L-tyrosine to L-3',4'-dihydroxyphenylalanine; monomethylated L-lysine; monomethylated L-arginine; N6,N6-dimethyl-L-lysine; dimethylated L-arginine; unknown modification; O-phospho-L-serine; O-phospho-L-threonine; O4'-phospho-L-tyrosine; ubiquitination signature dipeptidyl lysine
InstrumentLTQ Orbitrap Velos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-02-01 17:19:29ID requested
12021-06-02 08:17:04announced
Publication List
no publication
Keyword List
submitter keyword: temperature challenge, post-translational modifications
Contact List
Laurence Florens
contact affiliationThe Stowers Institute for Medical Research
contact emaillaf@stowers.org
lab head
Laurence Florens
contact affiliationStowers Institute for Medical Research
contact emaillaf@stowers.org
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/MSV000086791/