Literature DB >> 20106817

XDIA: improving on the label-free data-independent analysis.

Paulo C Carvalho1, Xuemei Han, Tao Xu, Daniel Cociorva, Maria da Gloria Carvalho, Valmir C Barbosa, John R Yates.   

Abstract

SUMMARY: XDIA is a computational strategy for analyzing multiplexed spectra acquired using electron transfer dissociation and collision-activated dissociation; it significantly increases identified spectra (approximately 250%) and unique peptides (approximately 30%) when compared with the data-dependent ETCaD analysis on middle-down, single-phase shotgun proteomic analysis. Increasing identified spectra and peptides improves quantitation statistics confidence and protein coverage, respectively. AVAILABILITY: The software and data produced in this work are freely available for academic use at http://fields.scripps.edu/XDIA CONTACT: paulo@pcarvalho.com SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Mesh:

Year:  2010        PMID: 20106817      PMCID: PMC2832823          DOI: 10.1093/bioinformatics/btq031

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  Probability-based protein identification by searching sequence databases using mass spectrometry data.

Authors:  D N Perkins; D J Pappin; D M Creasy; J S Cottrell
Journal:  Electrophoresis       Date:  1999-12       Impact factor: 3.535

2.  Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra.

Authors:  John D Venable; Meng-Qiu Dong; James Wohlschlegel; Andrew Dillin; John R Yates
Journal:  Nat Methods       Date:  2004-09-29       Impact factor: 28.547

3.  Charger: combination of signal processing and statistical learning algorithms for precursor charge-state determination from electron-transfer dissociation spectra.

Authors:  Rovshan G Sadygov; Zhiqi Hao; Andreas F R Huhmer
Journal:  Anal Chem       Date:  2007-12-15       Impact factor: 6.986

4.  YADA: a tool for taking the most out of high-resolution spectra.

Authors:  Paulo C Carvalho; Tao Xu; Xuemei Han; Daniel Cociorva; Valmir C Barbosa; John R Yates
Journal:  Bioinformatics       Date:  2009-08-14       Impact factor: 6.937

5.  PatternLab for proteomics: a tool for differential shotgun proteomics.

Authors:  Paulo C Carvalho; Juliana S G Fischer; Emily I Chen; John R Yates; Valmir C Barbosa
Journal:  BMC Bioinformatics       Date:  2008-07-21       Impact factor: 3.169

  5 in total
  26 in total

1.  Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis.

Authors:  Ludovic C Gillet; Pedro Navarro; Stephen Tate; Hannes Röst; Nathalie Selevsek; Lukas Reiter; Ron Bonner; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-01-18       Impact factor: 5.911

2.  Clustering and filtering tandem mass spectra acquired in data-independent mode.

Authors:  Huisong Pak; Frederic Nikitin; Florent Gluck; Frederique Lisacek; Alexander Scherl; Markus Muller
Journal:  J Am Soc Mass Spectrom       Date:  2013-09-05       Impact factor: 3.109

3.  Electron Transfer Dissociation of All Ions at All Times, MSETD, in a Quadrupole Time-of-Flight (Q-ToF) Mass Spectrometer.

Authors:  Christian N Cramer; Jeffery M Brown; Nick Tomczyk; Peter Kresten Nielsen; Kim F Haselmann
Journal:  J Am Soc Mass Spectrom       Date:  2016-12-02       Impact factor: 3.109

Review 4.  Protein analysis by shotgun/bottom-up proteomics.

Authors:  Yaoyang Zhang; Bryan R Fonslow; Bing Shan; Moon-Chang Baek; John R Yates
Journal:  Chem Rev       Date:  2013-02-26       Impact factor: 60.622

5.  Systematic evaluation of data-independent acquisition for sensitive and reproducible proteomics-a prototype design for a single injection assay.

Authors:  Michael R Heaven; Adam J Funk; Archie L Cobbs; Wendy D Haffey; Jeremy L Norris; Robert E McCullumsmith; Kenneth D Greis
Journal:  J Mass Spectrom       Date:  2016-01       Impact factor: 1.982

6.  OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data.

Authors:  Hannes L Röst; George Rosenberger; Pedro Navarro; Ludovic Gillet; Saša M Miladinović; Olga T Schubert; Witold Wolski; Ben C Collins; Johan Malmström; Lars Malmström; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2014-03       Impact factor: 54.908

7.  SWATH Mass Spectrometry Performance Using Extended Peptide MS/MS Assay Libraries.

Authors:  Jemma X Wu; Xiaomin Song; Dana Pascovici; Thiri Zaw; Natasha Care; Christoph Krisp; Mark P Molloy
Journal:  Mol Cell Proteomics       Date:  2016-05-09       Impact factor: 5.911

Review 8.  Advances in targeted proteomics and applications to biomedical research.

Authors:  Tujin Shi; Ehwang Song; Song Nie; Karin D Rodland; Tao Liu; Wei-Jun Qian; Richard D Smith
Journal:  Proteomics       Date:  2016-08       Impact factor: 3.984

9.  mapDIA: Preprocessing and statistical analysis of quantitative proteomics data from data independent acquisition mass spectrometry.

Authors:  Guoshou Teo; Sinae Kim; Chih-Chiang Tsou; Ben Collins; Anne-Claude Gingras; Alexey I Nesvizhskii; Hyungwon Choi
Journal:  J Proteomics       Date:  2015-09-15       Impact factor: 4.044

Review 10.  Clinical applications of quantitative proteomics using targeted and untargeted data-independent acquisition techniques.

Authors:  Jesse G Meyer; Birgit Schilling
Journal:  Expert Rev Proteomics       Date:  2017-05       Impact factor: 3.940

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