Literature DB >> 20013364

Target-decoy search strategy for mass spectrometry-based proteomics.

Joshua E Elias1, Steven P Gygi.   

Abstract

Accurate and precise methods for estimating incorrect peptide and protein identifications are crucial for effective large-scale proteome analyses by tandem mass spectrometry. The target-decoy search strategy has emerged as a simple, effective tool for generating such estimations. This strategy is based on the premise that obvious, necessarily incorrect "decoy" sequences added to the search space will correspond with incorrect search results that might otherwise be deemed to be correct. With this knowledge, it is possible not only to estimate how many incorrect results are in a final data set but also to use decoy hits to guide the design of filtering criteria that sensitively partition a data set into correct and incorrect identifications.

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Year:  2010        PMID: 20013364      PMCID: PMC2922680          DOI: 10.1007/978-1-60761-444-9_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  30 in total

1.  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

2.  Open mass spectrometry search algorithm.

Authors:  Lewis Y Geer; Sanford P Markey; Jeffrey A Kowalak; Lukas Wagner; Ming Xu; Dawn M Maynard; Xiaoyu Yang; Wenyao Shi; Stephen H Bryant
Journal:  J Proteome Res       Date:  2004 Sep-Oct       Impact factor: 4.466

Review 3.  Large-scale database searching using tandem mass spectra: looking up the answer in the back of the book.

Authors:  Rovshan G Sadygov; Daniel Cociorva; John R Yates
Journal:  Nat Methods       Date:  2004-12       Impact factor: 28.547

4.  Reporting protein identification data: the next generation of guidelines.

Authors:  Ralph A Bradshaw; Alma L Burlingame; Steven Carr; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2006-05       Impact factor: 5.911

5.  Prediction of error associated with false-positive rate determination for peptide identification in large-scale proteomics experiments using a combined reverse and forward peptide sequence database strategy.

Authors:  Edward L Huttlin; Adrian D Hegeman; Amy C Harms; Michael R Sussman
Journal:  J Proteome Res       Date:  2007-01       Impact factor: 4.466

6.  Comparative evaluation of tandem MS search algorithms using a target-decoy search strategy.

Authors:  Brian M Balgley; Tom Laudeman; Li Yang; Tao Song; Cheng S Lee
Journal:  Mol Cell Proteomics       Date:  2007-05-28       Impact factor: 5.911

7.  The effects of mass accuracy, data acquisition speed, and search algorithm choice on peptide identification rates in phosphoproteomics.

Authors:  Corey E Bakalarski; Wilhelm Haas; Noah E Dephoure; Steven P Gygi
Journal:  Anal Bioanal Chem       Date:  2007-09-14       Impact factor: 4.142

8.  Guidelines for reporting the use of mass spectrometry informatics in proteomics.

Authors:  Pierre-Alain Binz; Robert Barkovich; Ronald C Beavis; David Creasy; David M Horn; Randall K Julian; Sean L Seymour; Chris F Taylor; Yves Vandenbrouck
Journal:  Nat Biotechnol       Date:  2008-08       Impact factor: 54.908

9.  The universal protein resource (UniProt).

Authors: 
Journal:  Nucleic Acids Res       Date:  2007-11-27       Impact factor: 16.971

10.  Optimization of filtering criterion for SEQUEST database searching to improve proteome coverage in shotgun proteomics.

Authors:  Xinning Jiang; Xiaogang Jiang; Guanghui Han; Mingliang Ye; Hanfa Zou
Journal:  BMC Bioinformatics       Date:  2007-08-31       Impact factor: 3.169

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  233 in total

1.  UBE2O remodels the proteome during terminal erythroid differentiation.

Authors:  Anthony T Nguyen; Miguel A Prado; Paul J Schmidt; Anoop K Sendamarai; Joshua T Wilson-Grady; Mingwei Min; Dean R Campagna; Geng Tian; Yuan Shi; Verena Dederer; Mona Kawan; Nathalie Kuehnle; Joao A Paulo; Yu Yao; Mitchell J Weiss; Monica J Justice; Steven P Gygi; Mark D Fleming; Daniel Finley
Journal:  Science       Date:  2017-08-04       Impact factor: 47.728

2.  Protein identification using top-down.

Authors:  Xiaowen Liu; Yakov Sirotkin; Yufeng Shen; Gordon Anderson; Yihsuan S Tsai; Ying S Ting; David R Goodlett; Richard D Smith; Vineet Bafna; Pavel A Pevzner
Journal:  Mol Cell Proteomics       Date:  2011-10-25       Impact factor: 5.911

3.  Identifying proteomic LC-MS/MS data sets with Bumbershoot and IDPicker.

Authors:  Jerry D Holman; Ze-Qiang Ma; David L Tabb
Journal:  Curr Protoc Bioinformatics       Date:  2012-03

4.  The protein expression landscape of the Arabidopsis root.

Authors:  Jalean J Petricka; Monica A Schauer; Molly Megraw; Natalie W Breakfield; J Will Thompson; Stoyan Georgiev; Erik J Soderblom; Uwe Ohler; Martin Arthur Moseley; Ueli Grossniklaus; Philip N Benfey
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-23       Impact factor: 11.205

Review 5.  Decoding signalling networks by mass spectrometry-based proteomics.

Authors:  Chunaram Choudhary; Matthias Mann
Journal:  Nat Rev Mol Cell Biol       Date:  2010-05-12       Impact factor: 94.444

6.  Quantitative mass spectrometry-based multiplexing compares the abundance of 5000 S. cerevisiae proteins across 10 carbon sources.

Authors:  Joao A Paulo; Jeremy D O'Connell; Robert A Everley; Jonathon O'Brien; Micah A Gygi; Steven P Gygi
Journal:  J Proteomics       Date:  2016-07-16       Impact factor: 4.044

7.  The proteome of postsurgical pancreatic juice.

Authors:  Giovanni Marchegiani; Joao A Paulo; Klaus Sahora; Carlos Fernández-Del Castillo
Journal:  Pancreas       Date:  2015-05       Impact factor: 3.327

8.  Streamlined Tandem Mass Tag (SL-TMT) Protocol: An Efficient Strategy for Quantitative (Phospho)proteome Profiling Using Tandem Mass Tag-Synchronous Precursor Selection-MS3.

Authors:  José Navarrete-Perea; Qing Yu; Steven P Gygi; Joao A Paulo
Journal:  J Proteome Res       Date:  2018-05-16       Impact factor: 4.466

9.  LipidFinder: A computational workflow for discovery of lipids identifies eicosanoid-phosphoinositides in platelets.

Authors:  Anne O'Connor; Christopher J Brasher; David A Slatter; Sven W Meckelmann; Jade I Hawksworth; Stuart M Allen; Valerie B O'Donnell
Journal:  JCI Insight       Date:  2017-04-06

10.  Limiting Self-Renewal of the Basal Compartment by PKA Activation Induces Differentiation and Alters the Evolution of Mammary Tumors.

Authors:  Nevena B Ognjenovic; Meisam Bagheri; Gadisti Aisha Mohamed; Ke Xu; Youdinghuan Chen; Mohamed Ashick Mohamed Saleem; Meredith S Brown; Shivashankar H Nagaraj; Kristen E Muller; Scott A Gerber; Brock C Christensen; Diwakar R Pattabiraman
Journal:  Dev Cell       Date:  2020-10-28       Impact factor: 12.270

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