Literature DB >> 12918992

Similarity among tandem mass spectra from proteomic experiments: detection, significance, and utility.

David L Tabb1, Michael J MacCoss, Christine C Wu, Scott D Anderson, John R Yates.   

Abstract

Liquid chromatography paired with tandem mass spectrometry is a standard technique for identifying peptides from complex protein mixtures. Most fragment ion spectra acquired by this technique are unique, but some are repeated. Similarities among the spectra from 1D and 2D liquid chromatography experiments were calculated by the dot product algorithm. Similar spectra were grouped, and the degree of duplication was calculated for each sample. In 1D liquid chromatography data from 1D gel bands, 18% of the fragment ion spectra were duplicates. A six-cycle 2D liquid chromatographic separation of more than 200 proteins produced 28% duplicate spectra. A rat hippocampal homogenate analyzed by a 12-cycle 2D liquid chromatographic separation contained 25% duplicate spectra. Removal of these duplicate spectra, however, resulted in fewer peptides being successfully identified by SEQUEST. We propose a modification for peptide identification algorithms that would improve their performance and accuracy by explicitly recognizing and making use of spectral similarity.

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Year:  2003        PMID: 12918992     DOI: 10.1021/ac026424o

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  48 in total

1.  A method of finding optimal weight factors for compound identification in gas chromatography-mass spectrometry.

Authors:  Seongho Kim; Imhoi Koo; Xiaoli Wei; Xiang Zhang
Journal:  Bioinformatics       Date:  2012-02-13       Impact factor: 6.937

2.  MS2Grouper: group assessment and synthetic replacement of duplicate proteomic tandem mass spectra.

Authors:  David L Tabb; Melissa R Thompson; Gurusahai Khalsa-Moyers; Nathan C VerBerkmoes; W Hayes McDonald
Journal:  J Am Soc Mass Spectrom       Date:  2005-08       Impact factor: 3.109

Review 3.  Advances and challenges in liquid chromatography-mass spectrometry-based proteomics profiling for clinical applications.

Authors:  Wei-Jun Qian; Jon M Jacobs; Tao Liu; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2006-08-03       Impact factor: 5.911

4.  Effect of collision energy optimization on the measurement of peptides by selected reaction monitoring (SRM) mass spectrometry.

Authors:  Brendan Maclean; Daniela M Tomazela; Susan E Abbatiello; Shucha Zhang; Jeffrey R Whiteaker; Amanda G Paulovich; Steven A Carr; Michael J Maccoss
Journal:  Anal Chem       Date:  2010-11-19       Impact factor: 6.986

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

Review 6.  Liquid chromatography-mass spectrometry-based quantitative proteomics.

Authors:  Fang Xie; Tao Liu; Wei-Jun Qian; Vladislav A Petyuk; Richard D Smith
Journal:  J Biol Chem       Date:  2011-06-01       Impact factor: 5.157

7.  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

8.  Compound identification using partial and semipartial correlations for gas chromatography-mass spectrometry data.

Authors:  Seongho Kim; Imhoi Koo; Jaesik Jeong; Shiwen Wu; Xue Shi; Xiang Zhang
Journal:  Anal Chem       Date:  2012-07-26       Impact factor: 6.986

9.  A mass spectrometry-based proteomic analysis of Homer2-interacting proteins in the mouse brain.

Authors:  Scott P Goulding; Karen K Szumlinski; Candice Contet; Michael J MacCoss; Christine C Wu
Journal:  J Proteomics       Date:  2017-07-17       Impact factor: 4.044

10.  Advanced data-mining strategies for the analysis of direct-infusion ion trap mass spectrometry data from the association of perennial ryegrass with its endophytic fungus, Neotyphodium lolii.

Authors:  Mingshu Cao; Albert Koulman; Linda J Johnson; Geoffrey A Lane; Susanne Rasmussen
Journal:  Plant Physiol       Date:  2008-02-20       Impact factor: 8.340

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