Literature DB >> 9737207

Method to compare collision-induced dissociation spectra of peptides: potential for library searching and subtractive analysis.

J R Yates1, S F Morgan, C L Gatlin, P R Griffin, J K Eng.   

Abstract

We report the development of a method to compare collision-induced dissociation (CID) spectra of peptides. This method employs a cross-correlation analysis of a CID spectrum to a reference spectrum and normalizes the cross-correlation score to the autocorrelation of the CID spectra. The query spectrum is compared by using both mass information and fragmentation patterns. Fragmentation patterns are compared to each other using a correlation function. To evaluate the specificity of the approach, a set of 2180 tandem mass spectra obtained from both triple-quadrupole tandem mass spectrometers (TSQ) and quadrupole ion trap mass spectrometers (LCQ) was created. Comparisons are performed between tandem mass spectra obtained on the same instrument type as well as between different instrument types. Accurate and reliable comparisons are demonstrated in both types of analyses. The scores obtained in the cross-comparison of TSQ and LCQ tandem mass spectra of the same peptide are found to be slightly lower than comparisons performed with spectra obtained on the same instrument type. The method appears insensitive to variations in day-to-day performance of the instrument, minor variations in fragment ion abundance, and instrumental differences inherent in the same instrument model. The use of this method of comparison is demonstrated for library searching and subtractive analysis of tandem mass spectra obtained during LC/MS/MS experiments.

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Year:  1998        PMID: 9737207     DOI: 10.1021/ac980122y

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


  41 in total

1.  Method for screening peptide fragment ion mass spectra prior to database searching.

Authors:  R E Moore; M K Young; T D Lee
Journal:  J Am Soc Mass Spectrom       Date:  2000-05       Impact factor: 3.109

Review 2.  The spectra count label-free quantitation in cancer proteomics.

Authors:  Weidong Zhou; Lance A Liotta; Emanuel F Petricoin
Journal:  Cancer Genomics Proteomics       Date:  2012 May-Jun       Impact factor: 4.069

3.  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

4.  HMMatch: peptide identification by spectral matching of tandem mass spectra using hidden Markov models.

Authors:  Xue Wu; Chau-Wen Tseng; Nathan Edwards
Journal:  J Comput Biol       Date:  2007-10       Impact factor: 1.479

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.  Separating the wheat from the chaff: unbiased filtering of background tandem mass spectra improves protein identification.

Authors:  Magno Junqueira; Victor Spirin; Tiago Santana Balbuena; Patrice Waridel; Vineeth Surendranath; Grigoriy Kryukov; Ivan Adzhubei; Henrik Thomas; Shamil Sunyaev; Andrej Shevchenko
Journal:  J Proteome Res       Date:  2008-06-18       Impact factor: 4.466

7.  Building consensus spectral libraries for peptide identification in proteomics.

Authors:  Henry Lam; Eric W Deutsch; James S Eddes; Jimmy K Eng; Stephen E Stein; Ruedi Aebersold
Journal:  Nat Methods       Date:  2008-09-21       Impact factor: 28.547

Review 8.  Building and searching tandem mass spectral libraries for peptide identification.

Authors:  Henry Lam
Journal:  Mol Cell Proteomics       Date:  2011-09-06       Impact factor: 5.911

9.  A ranking-based scoring function for peptide-spectrum matches.

Authors:  Ari M Frank
Journal:  J Proteome Res       Date:  2009-05       Impact factor: 4.466

10.  Open MS/MS spectral library search to identify unanticipated post-translational modifications and increase spectral identification rate.

Authors:  Ding Ye; Yan Fu; Rui-Xiang Sun; Hai-Peng Wang; Zuo-Fei Yuan; Hao Chi; Si-Min He
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

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