Abstract:
:Mass spectrometry-based quantitative proteomics has become an important component of biological and clinical research. Although such analyses typically assume that a protein's peptide fragments are observed with equal likelihood, only a few so-called 'proteotypic' peptides are repeatedly and consistently identified for any given protein present in a mixture. Using >600,000 peptide identifications generated by four proteomic platforms, we empirically identified >16,000 proteotypic peptides for 4,030 distinct yeast proteins. Characteristic physicochemical properties of these peptides were used to develop a computational tool that can predict proteotypic peptides for any protein from any organism, for a given platform, with >85% cumulative accuracy. Possible applications of proteotypic peptides include validation of protein identifications, absolute quantification of proteins, annotation of coding sequences in genomes, and characterization of the physical principles governing key elements of mass spectrometric workflows (e.g., digestion, chromatography, ionization and fragmentation).
journal_name
Nat Biotechnoljournal_title
Nature biotechnologyauthors
Mallick P,Schirle M,Chen SS,Flory MR,Lee H,Martin D,Ranish J,Raught B,Schmitt R,Werner T,Kuster B,Aebersold Rdoi
10.1038/nbt1275subject
Has Abstractpub_date
2007-01-01 00:00:00pages
125-31issue
1eissn
1087-0156issn
1546-1696pii
nbt1275journal_volume
25pub_type
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