Literature DB >> 21166477

Addressing trypsin bias in large scale (phospho)proteome analysis by size exclusion chromatography and secondary digestion of large post-trypsin peptides.

Bao Quoc Tran1, Celine Hernandez, Patrice Waridel, Alexandra Potts, Jachen Barblan, Frederique Lisacek, Manfredo Quadroni.   

Abstract

In the vast majority of bottom-up proteomics studies, protein digestion is performed using only mammalian trypsin. Although it is clearly the best enzyme available, the sole use of trypsin rarely leads to complete sequence coverage, even for abundant proteins. It is commonly assumed that this is because many tryptic peptides are either too short or too long to be identified by RPLC-MS/MS. We show through in silico analysis that 20-30% of the total sequence of three proteomes (Schizosaccharomyces pombe, Saccharomyces cerevisiae, and Homo sapiens) is expected to be covered by Large post-Trypsin Peptides (LpTPs) with M(r) above 3000 Da. We then established size exclusion chromatography to fractionate complex yeast tryptic digests into pools of peptides based on size. We found that secondary digestion of LpTPs followed by LC-MS/MS analysis leads to a significant increase in identified proteins and a 32-50% relative increase in average sequence coverage compared to trypsin digestion alone. Application of the developed strategy to analyze the phosphoproteomes of S. pombe and of a human cell line identified a significant fraction of novel phosphosites. Overall our data indicate that specific targeting of LpTPs can complement standard bottom-up workflows to reveal a largely neglected portion of the proteome.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21166477     DOI: 10.1021/pr100951t

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


  14 in total

1.  Use of proteinase K nonspecific digestion for selective and comprehensive identification of interpeptide cross-links: application to prion proteins.

Authors:  Evgeniy V Petrotchenko; Jason J Serpa; Darryl B Hardie; Mark Berjanskii; Bow P Suriyamongkol; David S Wishart; Christoph H Borchers
Journal:  Mol Cell Proteomics       Date:  2012-03-21       Impact factor: 5.911

Review 2.  Protein analysis by shotgun/bottom-up proteomics.

Authors:  Yaoyang Zhang; Bryan R Fonslow; Bing Shan; Moon-Chang Baek; John R Yates
Journal:  Chem Rev       Date:  2013-02-26       Impact factor: 60.622

3.  Comprehensive analysis of protein digestion using six trypsins reveals the origin of trypsin as a significant source of variability in proteomics.

Authors:  Scott J Walmsley; Paul A Rudnick; Yuxue Liang; Qian Dong; Stephen E Stein; Alexey I Nesvizhskii
Journal:  J Proteome Res       Date:  2013-11-14       Impact factor: 4.466

Review 4.  Maximizing Depth of PTM Coverage: Generating Robust MS Datasets for Computational Prediction Modeling.

Authors:  Anthony A Iannetta; Leslie M Hicks
Journal:  Methods Mol Biol       Date:  2022

5.  Identification of Dehalobacter reductive dehalogenases that catalyse dechlorination of chloroform, 1,1,1-trichloroethane and 1,1-dichloroethane.

Authors:  Shuiquan Tang; Elizabeth A Edwards
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-03-11       Impact factor: 6.237

6.  Impact of Amidination on Peptide Fragmentation and Identification in Shotgun Proteomics.

Authors:  Sujun Li; Aditi Dabir; Santosh A Misal; Haixu Tang; Predrag Radivojac; James P Reilly
Journal:  J Proteome Res       Date:  2016-09-27       Impact factor: 4.466

7.  Site-Specific N-Glycosylation of Recombinant Pentameric and Hexameric Human IgM.

Authors:  Edward S X Moh; Chi-Hung Lin; Morten Thaysen-Andersen; Nicolle H Packer
Journal:  J Am Soc Mass Spectrom       Date:  2016-04-01       Impact factor: 3.109

8.  Digestion and depletion of abundant proteins improves proteomic coverage.

Authors:  Bryan R Fonslow; Benjamin D Stein; Kristofor J Webb; Tao Xu; Jeong Choi; Sung Kyu Park; John R Yates
Journal:  Nat Methods       Date:  2012-11-18       Impact factor: 28.547

9.  Expanding the chemical cross-linking toolbox by the use of multiple proteases and enrichment by size exclusion chromatography.

Authors:  Alexander Leitner; Roland Reischl; Thomas Walzthoeni; Franz Herzog; Stefan Bohn; Friedrich Förster; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-01-27       Impact factor: 5.911

10.  Enhanced FASP (eFASP) to increase proteome coverage and sample recovery for quantitative proteomic experiments.

Authors:  Jonathan Erde; Rachel R Ogorzalek Loo; Joseph A Loo
Journal:  J Proteome Res       Date:  2014-03-06       Impact factor: 4.466

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.