Literature DB >> 22288382

Accurate peptide fragment mass analysis: multiplexed peptide identification and quantification.

Chad R Weisbrod1, Jimmy K Eng, Michael R Hoopmann, Tahmina Baker, James E Bruce.   

Abstract

Fourier transform-all reaction monitoring (FT-ARM) is a novel approach for the identification and quantification of peptides that relies upon the selectivity of high mass accuracy data and the specificity of peptide fragmentation patterns. An FT-ARM experiment involves continuous, data-independent, high mass accuracy MS/MS acquisition spanning a defined m/z range. Custom software was developed to search peptides against the multiplexed fragmentation spectra by comparing theoretical or empirical fragment ions against every fragmentation spectrum across the entire acquisition. A dot product score is calculated against each spectrum to generate a score chromatogram used for both identification and quantification. Chromatographic elution profile characteristics are not used to cluster precursor peptide signals to their respective fragment ions. FT-ARM identifications are demonstrated to be complementary to conventional data-dependent shotgun analysis, especially in cases where the data-dependent method fails because of fragmenting multiple overlapping precursors. The sensitivity, robustness, and specificity of FT-ARM quantification are shown to be analogous to selected reaction monitoring-based peptide quantification with the added benefit of minimal assay development. Thus, FT-ARM is demonstrated to be a novel and complementary data acquisition, identification, and quantification method for the large scale analysis of peptides.

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Year:  2012        PMID: 22288382      PMCID: PMC3319072          DOI: 10.1021/pr2008175

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  39 in total

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Authors:  Guo-Zhong Li; Johannes P C Vissers; Jeffrey C Silva; Dan Golick; Marc V Gorenstein; Scott J Geromanos
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Authors:  Annette Michalski; Juergen Cox; Matthias Mann
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5.  Automated detection of inaccurate and imprecise transitions in peptide quantification by multiple reaction monitoring mass spectrometry.

Authors:  Susan E Abbatiello; D R Mani; Hasmik Keshishian; Steven A Carr
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7.  The detection, correlation, and comparison of peptide precursor and product ions from data independent LC-MS with data dependant LC-MS/MS.

Authors:  Scott J Geromanos; Johannes P C Vissers; Jeffrey C Silva; Craig A Dorschel; Guo-Zhong Li; Marc V Gorenstein; Robert H Bateman; James I Langridge
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

8.  Deconvolution of mixture spectra from ion-trap data-independent-acquisition tandem mass spectrometry.

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10.  Prediction of peptides observable by mass spectrometry applied at the experimental set level.

Authors:  William S Sanders; Susan M Bridges; Fiona M McCarthy; Bindu Nanduri; Shane C Burgess
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  32 in total

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2.  Quantitative Mass Spectrometry-Based Proteomics: An Overview.

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5.  MixGF: spectral probabilities for mixture spectra from more than one peptide.

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6.  Comparison of data acquisition strategies on quadrupole ion trap instrumentation for shotgun proteomics.

Authors:  Jesse D Canterbury; Gennifer E Merrihew; Michael J MacCoss; David R Goodlett; Scott A Shaffer
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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
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Review 8.  Advances in targeted proteomics and applications to biomedical research.

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9.  Acquiring and Analyzing Data Independent Acquisition Proteomics Experiments without Spectrum Libraries.

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10.  Data Independent Acquisition analysis in ProHits 4.0.

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Journal:  J Proteomics       Date:  2016-04-29       Impact factor: 4.044

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