Literature DB >> 23733317

A tool to evaluate correspondence between extraction ion chromatographic peaks and peptide-spectrum matches in shotgun proteomics experiments.

Cristian I Ruse1, Samantha Peacock, Cornel Ghiban, Keith Rivera, Darryl J Pappin, Peter Leopold.   

Abstract

Chromatographed peptide signals form the basis of further data processing that eventually results in functional information derived from data-dependent bottom-up proteomics assays. We seek to rank LC/MS parent ions by the quality of their extracted ion chromatograms. Ranked extracted ion chromatograms act as an intuitive physical/chemical preselection filter to improve the quality of MS/MS fragment scans submitted for database search. We identify more than 4900 proteins when considering detector shifts of less than 7 ppm. High quality parent ions for which the database search yields no hits become candidates for subsequent unrestricted analysis for PTMs. Following this rational approach, we prioritize identification of more than 5000 spectrum matches from modified peptides and confirmed the presence of acetylaldehyde-modified His/Lys. We present a logical workflow that scores data-dependent selected ion chromatograms and leverage information about semianalytical LC/LC dimension prior to MS. Our method can be successfully used to identify unexpected modifications in peptides with excellent chromatography characteristics, independent of fragmentation pattern and activation methods. We illustrate analysis of ion chromatograms detected in two different modes by RF linear ion trap and electrostatic field orbitrap.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Accurate mass measurement; Fast chromatogram inversion; Multidimensional chromatography; Statistical ranking; Technology

Mesh:

Substances:

Year:  2013        PMID: 23733317      PMCID: PMC3994887          DOI: 10.1002/pmic.201300022

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


  44 in total

1.  Automatic quality assessment of peptide tandem mass spectra.

Authors:  Marshall Bern; David Goldberg; W Hayes McDonald; John R Yates
Journal:  Bioinformatics       Date:  2004-08-04       Impact factor: 6.937

2.  Identification of post-translational modifications by blind search of mass spectra.

Authors:  Dekel Tsur; Stephen Tanner; Ebrahim Zandi; Vineet Bafna; Pavel A Pevzner
Journal:  Nat Biotechnol       Date:  2005-11-27       Impact factor: 54.908

Review 3.  Computational methods for the comparative quantification of proteins in label-free LCn-MS experiments.

Authors:  Jason W H Wong; Matthew J Sullivan; Gerard Cagney
Journal:  Brief Bioinform       Date:  2007-09-28       Impact factor: 11.622

4.  Quantitative comparison of proteomic data quality between a 2D and 3D quadrupole ion trap.

Authors:  Adele R Blackler; Aaron A Klammer; Michael J MacCoss; Christine C Wu
Journal:  Anal Chem       Date:  2006-02-15       Impact factor: 6.986

Review 5.  Proteomics by mass spectrometry: approaches, advances, and applications.

Authors:  John R Yates; Cristian I Ruse; Aleksey Nakorchevsky
Journal:  Annu Rev Biomed Eng       Date:  2009       Impact factor: 9.590

Review 6.  The phosphoproteomics data explosion.

Authors:  Simone Lemeer; Albert J R Heck
Journal:  Curr Opin Chem Biol       Date:  2009-07-19       Impact factor: 8.822

7.  Targeted quantitative bioanalysis in plasma using liquid chromatography/high-resolution accurate mass spectrometry: an evaluation of global selectivity as a function of mass resolving power and extraction window, with comparison of centroid and profile modes.

Authors:  Yuan-Qing Xia; Jim Lau; Timothy Olah; Mohammed Jemal
Journal:  Rapid Commun Mass Spectrom       Date:  2011-10-15       Impact factor: 2.419

Review 8.  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

9.  ScanRanker: Quality assessment of tandem mass spectra via sequence tagging.

Authors:  Ze-Qiang Ma; Matthew C Chambers; Amy-Joan L Ham; Kristin L Cheek; Corbin W Whitwell; Hans-Rudolf Aerni; Birgit Schilling; Aaron W Miller; Richard M Caprioli; David L Tabb
Journal:  J Proteome Res       Date:  2011-04-26       Impact factor: 4.466

10.  Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.

Authors:  Zia Khan; Sasan Amini; Joshua S Bloom; Cristian Ruse; Amy A Caudy; Leonid Kruglyak; Mona Singh; David H Perlman; Saeed Tavazoie
Journal:  Genome Biol       Date:  2011-12-19       Impact factor: 13.583

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