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PXD003085

PXD003085 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleSelection of reference peptides for absolute quantification of budding yeast proteome
DescriptionAbsolute quantification of proteome is one of the most important tasks in proteomic research. The aim in this analysis is selection of reference tryptic peptides used for stable isotope-labeled standard, based on their spectral peak intensities. Approximate abundance is also calculated by label-free quantitative method, in which identification frequency (counts of peptide spectral matchings) in each protein is normalized by observability of peptide ions to calculate relative copy number of proteins. For proteins with higher relative copy number, peptide ions that fulfill following criteria — 2- or 3-charge state, without methionine residues and well known post-translational modification sites — are selected as reference tryptic peptides.
HostingRepositoryPRIDE
AnnounceDate2016-10-06
AnnouncementXMLSubmission_2016-10-06_02:27:17.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterKeiji Kito
SpeciesList scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932;
ModificationListiodoacetamide derivatized residue
InstrumentLTQ Orbitrap
Dataset History
RevisionDatetimeStatusChangeLog Entry
02015-10-20 06:44:52ID requested
12016-10-06 02:27:18announced
Publication List
Kito K, Okada M, Ishibashi Y, Okada S, Ito T, A strategy for absolute proteome quantification with mass spectrometry by hierarchical use of peptide-concatenated standards. Proteomics, 16(10):1457-73(2016) [pubmed]
Keyword List
curator keyword: Technical, Biological
submitter keyword: Budding yeast, Absolute quantification, Peptide-concatenated standard (PCS)
Contact List
Keiji Kito
contact affiliationSchool of Agriculture, Meiji University, Japan
contact emailKito@meiji.ac.jp
lab head
Keiji Kito
contact affiliationMeiji University
contact emailkito@meiji.ac.jp
dataset submitter
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Dataset FTP location
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PRIDE project URI
Repository Record List
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