Literature DB >> 21328539

A global analysis of peptide fragmentation variability.

Harald Barsnes1, Ingvar Eidhammer, Lennart Martens.   

Abstract

Understanding the fragmentation process in MS/MS experiments is vital when trying to validate the results of such experiments, and one way of improving our understanding is to analyze existing data. We here present our findings from an analysis of a large and diverse data set of MS/MS-based peptide identifications, in which each peptide has been identified from multiple spectra, recorded on two commonly used types of electrospray instruments. By analyzing these data we were able to study fragmentation variability on three levels: (i) variation in detection rates and intensities for fragment ions from the same peptide sequence measured multiple times on a single instrument; (ii) consistency of rank-based fragmentation patterns; and (iii) a set of general observations on fragment ion occurrence in MS/MS experiments, regardless of sequence. Our results confirm that substantial variation can be found at all levels, even when high-quality identifications are used and the experimental conditions as well as the peptide sequences are kept constant. Finally, we discuss the observed variability in light of ongoing efforts to create spectral libraries and predictive software for target selection in targeted proteomics.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 21328539     DOI: 10.1002/pmic.201000640

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  6 in total

1.  Formation of y + 10 and y + 11 ions in the collision-induced dissociation of peptide ions.

Authors:  Lisa E Kilpatrick; Pedatsur Neta; Xiaoyu Yang; Yamil Simón-Manso; Yuxue Liang; Stephen E Stein
Journal:  J Am Soc Mass Spectrom       Date:  2011-12-08       Impact factor: 3.109

2.  N-Protonated isomers as gateways to peptide ion fragmentation.

Authors:  Fredrik Haeffner; John K Merle; Karl K Irikura
Journal:  J Am Soc Mass Spectrom       Date:  2011-09-24       Impact factor: 3.109

3.  PeptideShaker enables reanalysis of MS-derived proteomics data sets.

Authors:  Marc Vaudel; Julia M Burkhart; René P Zahedi; Eystein Oveland; Frode S Berven; Albert Sickmann; Lennart Martens; Harald Barsnes
Journal:  Nat Biotechnol       Date:  2015-01       Impact factor: 54.908

4.  Design and application of a data-independent precursor and product ion repository.

Authors:  Konstantinos Thalassinos; Johannes P C Vissers; Stefan Tenzer; Yishai Levin; J Will Thompson; David Daniel; Darrin Mann; Mark R DeLong; M Arthur Moseley; Antoine H America; Andrew K Ottens; Greg S Cavey; Georgios Efstathiou; James H Scrivens; James I Langridge; Scott J Geromanos
Journal:  J Am Soc Mass Spectrom       Date:  2012-07-31       Impact factor: 3.109

5.  jTraML: an open source Java API for TraML, the PSI standard for sharing SRM transitions.

Authors:  Kenny Helsens; Mi-Youn Brusniak; Eric Deutsch; Robert L Moritz; Lennart Martens
Journal:  J Proteome Res       Date:  2011-10-13       Impact factor: 4.466

Review 6.  Exploring the potential of public proteomics data.

Authors:  Marc Vaudel; Kenneth Verheggen; Attila Csordas; Helge Raeder; Frode S Berven; Lennart Martens; Juan A Vizcaíno; Harald Barsnes
Journal:  Proteomics       Date:  2015-12-15       Impact factor: 3.984

  6 in total

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