Literature DB >> 17446555

Shotgun protein sequencing: assembly of peptide tandem mass spectra from mixtures of modified proteins.

Nuno Bandeira1, Karl R Clauser, Pavel A Pevzner.   

Abstract

Despite significant advances in the identification of known proteins, the analysis of unknown proteins by MS/MS still remains a challenging open problem. Although Klaus Biemann recognized the potential of MS/MS for sequencing of unknown proteins in the 1980s, low throughput Edman degradation followed by cloning still remains the main method to sequence unknown proteins. The automated interpretation of MS/MS spectra has been limited by a focus on individual spectra and has not capitalized on the information contained in spectra of overlapping peptides. Indeed the powerful shotgun DNA sequencing strategies have not been extended to automated protein sequencing. We demonstrate, for the first time, the feasibility of automated shotgun protein sequencing of protein mixtures by utilizing MS/MS spectra of overlapping and possibly modified peptides generated via multiple proteases of different specificities. We validate this approach by generating highly accurate de novo reconstructions of multiple regions of various proteins in western diamondback rattlesnake venom. We further argue that shotgun protein sequencing has the potential to overcome the limitations of current protein sequencing approaches and thus catalyze the otherwise impractical applications of proteomics methodologies in studies of unknown proteins.

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Year:  2007        PMID: 17446555     DOI: 10.1074/mcp.M700001-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  23 in total

1.  De novo sequencing and homology searching.

Authors:  Bin Ma; Richard Johnson
Journal:  Mol Cell Proteomics       Date:  2011-11-16       Impact factor: 5.911

2.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

3.  Template proteogenomics: sequencing whole proteins using an imperfect database.

Authors:  Natalie E Castellana; Victoria Pham; David Arnott; Jennie R Lill; Vineet Bafna
Journal:  Mol Cell Proteomics       Date:  2010-02-17       Impact factor: 5.911

Review 4.  Metagenomics and the protein universe.

Authors:  Adam Godzik
Journal:  Curr Opin Struct Biol       Date:  2011-04-14       Impact factor: 6.809

5.  Clustering millions of tandem mass spectra.

Authors:  Ari M Frank; Nuno Bandeira; Zhouxin Shen; Stephen Tanner; Steven P Briggs; Richard D Smith; Pavel A Pevzner
Journal:  J Proteome Res       Date:  2007-12-08       Impact factor: 4.466

6.  The generating function approach for Peptide identification in spectral networks.

Authors:  Adrian Guthals; Christina Boucher; Nuno Bandeira
Journal:  J Comput Biol       Date:  2014-11-25       Impact factor: 1.479

7.  Database-independent Protein Sequencing (DiPS) Enables Full-length de Novo Protein and Antibody Sequence Determination.

Authors:  Alon Savidor; Rotem Barzilay; Dalia Elinger; Yosef Yarden; Moshit Lindzen; Alexandra Gabashvili; Ophir Adiv Tal; Yishai Levin
Journal:  Mol Cell Proteomics       Date:  2017-03-27       Impact factor: 5.911

Review 8.  Inference and validation of protein identifications.

Authors:  Manfred Claassen
Journal:  Mol Cell Proteomics       Date:  2012-08-03       Impact factor: 5.911

9.  Shotgun protein sequencing with meta-contig assembly.

Authors:  Adrian Guthals; Karl R Clauser; Nuno Bandeira
Journal:  Mol Cell Proteomics       Date:  2012-07-13       Impact factor: 5.911

10.  Multi-spectra peptide sequencing and its applications to multistage mass spectrometry.

Authors:  Nuno Bandeira; Jesper V Olsen; Jesper V Mann; Matthias Mann; Pavel A Pevzner
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

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