Literature DB >> 18067249

Does trypsin cut before proline?

Jesse Rodriguez1, Nitin Gupta, Richard D Smith, Pavel A Pevzner.   

Abstract

Trypsin is the most commonly used enzyme in mass spectrometry for protein digestion with high substrate specificity. Many peptide identification algorithms incorporate these specificity rules as filtering criteria. A generally accepted "Keil rule" is that trypsin cleaves next to arginine or lysine, but not before proline. Since this rule was derived two decades ago based on a small number of experimentally confirmed cleavages, we decided to re-examine it using 14.5 million tandem spectra (2 orders of magnitude increase in the number of observed tryptic cleavages). Our analysis revealed a surprisingly large number of cleavages before proline. We examine several hypotheses to explain these cleavages and argue that trypsin specificity rules used in peptide identification algorithms should be modified to "legitimatize" cleavages before proline. Our approach can be applied to analyze any protease, and we further argue that specificity rules for other enzymes should also be re-evaluated based on statistical evidence derived from large MS/MS data sets.

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Year:  2007        PMID: 18067249     DOI: 10.1021/pr0705035

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  79 in total

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2.  Pressurized pepsin digestion in proteomics: an automatable alternative to trypsin for integrated top-down bottom-up proteomics.

Authors:  Daniel López-Ferrer; Konstantinos Petritis; Errol W Robinson; Kim K Hixson; Zhixin Tian; Jung Hwa Lee; Sang-Won Lee; Nikola Tolić; Karl K Weitz; Mikhail E Belov; Richard D Smith; Ljiljana Pasa-Tolić
Journal:  Mol Cell Proteomics       Date:  2010-07-12       Impact factor: 5.911

3.  Data analysis strategy for maximizing high-confidence protein identifications in complex proteomes such as human tumor secretomes and human serum.

Authors:  Huan Wang; Hsin-Yao Tang; Glenn C Tan; David W Speicher
Journal:  J Proteome Res       Date:  2011-10-18       Impact factor: 4.466

4.  Peptide-level Robust Ridge Regression Improves Estimation, Sensitivity, and Specificity in Data-dependent Quantitative Label-free Shotgun Proteomics.

Authors:  Ludger J E Goeminne; Kris Gevaert; Lieven Clement
Journal:  Mol Cell Proteomics       Date:  2015-11-13       Impact factor: 5.911

5.  Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification.

Authors:  Nathan P Manes; Jessica M Mann; Aleksandra Nita-Lazar
Journal:  J Vis Exp       Date:  2015-08-17       Impact factor: 1.355

6.  Structural insights into the role of the cyclic backbone in a squash trypsin inhibitor.

Authors:  Norelle L Daly; Louise Thorstholm; Kathryn P Greenwood; Gordon J King; K Johan Rosengren; Begoña Heras; Jennifer L Martin; David J Craik
Journal:  J Biol Chem       Date:  2013-10-29       Impact factor: 5.157

7.  Comparative proteogenomics: combining mass spectrometry and comparative genomics to analyze multiple genomes.

Authors:  Nitin Gupta; Jamal Benhamida; Vipul Bhargava; Daniel Goodman; Elisabeth Kain; Ian Kerman; Ngan Nguyen; Noah Ollikainen; Jesse Rodriguez; Jian Wang; Mary S Lipton; Margaret Romine; Vineet Bafna; Richard D Smith; Pavel A Pevzner
Journal:  Genome Res       Date:  2008-04-21       Impact factor: 9.043

Review 8.  A face in the crowd: recognizing peptides through database search.

Authors:  Jimmy K Eng; Brian C Searle; Karl R Clauser; David L Tabb
Journal:  Mol Cell Proteomics       Date:  2011-08-29       Impact factor: 5.911

9.  Evolution of a mass spectrometry-grade protease with PTM-directed specificity.

Authors:  Duc T Tran; Valerie J Cavett; Vuong Q Dang; Héctor L Torres; Brian M Paegel
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-08       Impact factor: 11.205

10.  Comprehensive mass spectrometric mapping of the hydroxylated amino acid residues of the α1(V) collagen chain.

Authors:  Chenxi Yang; Arick C Park; Nicholas A Davis; Jason D Russell; Byoungjae Kim; David D Brand; Matthew J Lawrence; Ying Ge; Michael S Westphall; Joshua J Coon; Daniel S Greenspan
Journal:  J Biol Chem       Date:  2012-10-11       Impact factor: 5.157

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