title: Analyzing protease specificity and detecting in vivo proteolytic events using tandem mass spectrometry.
abstract: Although trypsin remains the most commonly used protease in MS, other proteases may be employed for increasing peptide coverage or generating overlapping peptides. Knowledge of the accurate specificity rules of these proteases is helpful for database search tools to detect peptides, and becomes crucial when label-free MS is used to discover in vivo proteolytic cleavages. Since in vivo cleavages are inferred by subtracting digestion-induced cleavages from all observed cleavages, it is important to ensure that the specificity rule used to identify digestion-induced cleavages are broad enough to capture even minor cleavages produced in digestion, to avoid erroneously identifying them as in vivo cleavages. In this study, we describe MS-Proteolysis, a software tool for identifying putative sites of in vivo proteolytic cleavage using label-free MS. The tool is used in conjunction with digestion by trypsin and three other proteases, whose specificity rules are revised and extended before inferring proteolytic cleavages. Finally, we show that comparative analysis of multiple proteases can be used to detect putative in vivo proteolytic sites on a proteome-wide scale.
authors.affiliation: Bioinformatics Program, University of California San Diego, La Jolla, CA 92093, USA. ngupta@ucsd.edu
authors.forename: Nitin
authors.initials: N
authors.lastname: Gupta
authors.forename: Kim K
authors.initials: KK
authors.lastname: Hixson
authors.forename: David E
authors.initials: DE
authors.lastname: Culley
authors.forename: Richard D
authors.initials: RD
authors.lastname: Smith
authors.forename: Pavel A
authors.initials: PA
authors.lastname: Pevzner
mesh_terms: D000818:Animals; D001426:Bacterial Proteins / Q000378:metabolism; D002918:Chymotrypsin / Q000378:metabolism; D006868:Hydrolysis; D010447:Peptide Hydrolases / Q000378:metabolism*; D012697:Serine Endopeptidases / Q000378:metabolism; D020592:Shewanella / Q000201:enzymology; D012984:Software; D013211:Staphylococcus aureus / Q000201:enzymology; D013379:Substrate Specificity; D053719:Tandem Mass Spectrometry / Q000379:methods*; D014357:Trypsin / Q000378:metabolism
chemical_list: D001426:Bacterial Proteins; D010447:Peptide Hydrolases; D012697:Serine Endopeptidases; D002918:Chymotrypsin; C028344:glutamyl endopeptidase; D014357:Trypsin