Literature DB >> 22865921

Inference and validation of protein identifications.

Manfred Claassen1.   

Abstract

Discovery or shotgun proteomics has emerged as the most powerful technique to comprehensively map out a proteome. Reconstruction of protein identities from the raw mass spectrometric data constitutes a cornerstone of any shotgun proteomics workflow. The inherent uncertainty of mass spectrometric data and the complexity of a proteome render protein inference and the statistical validation of protein identifications a non-trivial task, still being a subject of ongoing research. This review aims to survey the different conceptual approaches to the different tasks of inferring and statistically validating protein identifications and to discuss their implications on the scope of proteome exploration.

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Year:  2012        PMID: 22865921      PMCID: PMC3494198          DOI: 10.1074/mcp.R111.014795

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


  72 in total

1.  Implementation and uses of automated de novo peptide sequencing by tandem mass spectrometry.

Authors:  J A Taylor; R S Johnson
Journal:  Anal Chem       Date:  2001-06-01       Impact factor: 6.986

2.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

3.  PepNovo: de novo peptide sequencing via probabilistic network modeling.

Authors:  Ari Frank; Pavel Pevzner
Journal:  Anal Chem       Date:  2005-02-15       Impact factor: 6.986

4.  More than 100,000 detectable peptide species elute in single shotgun proteomics runs but the majority is inaccessible to data-dependent LC-MS/MS.

Authors:  Annette Michalski; Juergen Cox; Matthias Mann
Journal:  J Proteome Res       Date:  2011-02-28       Impact factor: 4.466

Review 5.  A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics.

Authors:  Alexey I Nesvizhskii
Journal:  J Proteomics       Date:  2010-09-08       Impact factor: 4.044

6.  Error-tolerant identification of peptides in sequence databases by peptide sequence tags.

Authors:  M Mann; M Wilm
Journal:  Anal Chem       Date:  1994-12-15       Impact factor: 6.986

7.  Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics.

Authors:  Paola Picotti; Bernd Bodenmiller; Lukas N Mueller; Bruno Domon; Ruedi Aebersold
Journal:  Cell       Date:  2009-08-06       Impact factor: 41.582

8.  Spectral probabilities and generating functions of tandem mass spectra: a strike against decoy databases.

Authors:  Sangtae Kim; Nitin Gupta; Pavel A Pevzner
Journal:  J Proteome Res       Date:  2008-07-03       Impact factor: 4.466

9.  Use of shotgun proteomics for the identification, confirmation, and correction of C. elegans gene annotations.

Authors:  Gennifer E Merrihew; Colleen Davis; Brent Ewing; Gary Williams; Lukas Käll; Barbara E Frewen; William Stafford Noble; Phil Green; James H Thomas; Michael J MacCoss
Journal:  Genome Res       Date:  2008-07-24       Impact factor: 9.043

10.  Novel peptide identification from tandem mass spectra using ESTs and sequence database compression.

Authors:  Nathan J Edwards
Journal:  Mol Syst Biol       Date:  2007-04-17       Impact factor: 11.429

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  7 in total

Review 1.  Proteomics and the analysis of proteomic data: 2013 overview of current protein-profiling technologies.

Authors:  Can Bruce; Kathryn Stone; Erol Gulcicek; Kenneth Williams
Journal:  Curr Protoc Bioinformatics       Date:  2013-03

2.  A repository of assays to quantify 10,000 human proteins by SWATH-MS.

Authors:  George Rosenberger; Ching Chiek Koh; Tiannan Guo; Hannes L Röst; Petri Kouvonen; Ben C Collins; Moritz Heusel; Yansheng Liu; Etienne Caron; Anton Vichalkovski; Marco Faini; Olga T Schubert; Pouya Faridi; H Alexander Ebhardt; Mariette Matondo; Henry Lam; Samuel L Bader; David S Campbell; Eric W Deutsch; Robert L Moritz; Stephen Tate; Ruedi Aebersold
Journal:  Sci Data       Date:  2014-09-16       Impact factor: 6.444

3.  MSProGene: integrative proteogenomics beyond six-frames and single nucleotide polymorphisms.

Authors:  Franziska Zickmann; Bernhard Y Renard
Journal:  Bioinformatics       Date:  2015-06-15       Impact factor: 6.937

4.  Enhanced protein isoform characterization through long-read proteogenomics.

Authors:  Rachel M Miller; Ben T Jordan; Madison M Mehlferber; Erin D Jeffery; Christina Chatzipantsiou; Simi Kaur; Robert J Millikin; Yunxiang Dai; Simone Tiberi; Peter J Castaldi; Michael R Shortreed; Chance John Luckey; Ana Conesa; Lloyd M Smith; Anne Deslattes Mays; Gloria M Sheynkman
Journal:  Genome Biol       Date:  2022-03-03       Impact factor: 13.583

Review 5.  Proteomic approaches in biomarker discovery: new perspectives in cancer diagnostics.

Authors:  Petra Hudler; Nina Kocevar; Radovan Komel
Journal:  ScientificWorldJournal       Date:  2014-01-14

6.  Evaluating the impact of different sequence databases on metaproteome analysis: insights from a lab-assembled microbial mixture.

Authors:  Alessandro Tanca; Antonio Palomba; Massimo Deligios; Tiziana Cubeddu; Cristina Fraumene; Grazia Biosa; Daniela Pagnozzi; Maria Filippa Addis; Sergio Uzzau
Journal:  PLoS One       Date:  2013-12-09       Impact factor: 3.240

7.  Elucidating Proteoform Families from Proteoform Intact-Mass and Lysine-Count Measurements.

Authors:  Michael R Shortreed; Brian L Frey; Mark Scalf; Rachel A Knoener; Anthony J Cesnik; Lloyd M Smith
Journal:  J Proteome Res       Date:  2016-03-16       Impact factor: 4.466

  7 in total

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