Literature DB >> 16602709

Trade-off between high sensitivity and increased potential for false positive peptide sequence matches using a two-dimensional linear ion trap for tandem mass spectrometry-based proteomics.

Hongwei Xie1, Timothy J Griffin.   

Abstract

Two-dimensional linear ion trap mass spectrometers are rapidly becoming the new workhorse instruments for shotgun proteomic analysis of complex peptide mixtures. The objective of this study was to compare the potential for false positive peptide sequence matches between a two-dimensional ion trap instrument and a traditional, three-dimensional ion trap instrument. Through the comparative analysis of a complex protein sample, we found that in order to minimize false positive sequence matches, sequence match scoring criteria must be more stringent for data from the two-dimensional ion trap compared to the three-dimensional ion trap data. Given this increased potential for false positives, we also investigated two potential filtering strategies to reduce the false positive matches for data derived from the two-dimensional ion trap, including trypsin enzyme cleavage filtering, and the addition of peptide physicochemical information as a constraint, specifically peptide isoelectric point. The results described here provide a cautionary tale to researchers, demonstrating the need for careful analysis of MS/MS data from this new class of ion trap instruments, as well as the effectiveness of trypsin enzyme cleavage filtering and peptide pI information in maximizing high confidence protein identifications from this powerful proteomic instrumentation.

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Year:  2006        PMID: 16602709     DOI: 10.1021/pr050472i

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


  15 in total

1.  Rapid comparison of a candidate biosimilar to an innovator monoclonal antibody with advanced liquid chromatography and mass spectrometry technologies.

Authors:  Hongwei Xie; Asish Chakraborty; Joomi Ahn; Ying Qing Yu; Deepalakshmi P Dakshinamoorthy; Martin Gilar; Weibin Chen; St John Skilton; Jeffery R Mazzeo
Journal:  MAbs       Date:  2010-07-01       Impact factor: 5.857

Review 2.  Advances and challenges in liquid chromatography-mass spectrometry-based proteomics profiling for clinical applications.

Authors:  Wei-Jun Qian; Jon M Jacobs; Tao Liu; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2006-08-03       Impact factor: 5.911

Review 3.  Analyzing chromatin remodeling complexes using shotgun proteomics and normalized spectral abundance factors.

Authors:  Laurence Florens; Michael J Carozza; Selene K Swanson; Marjorie Fournier; Michael K Coleman; Jerry L Workman; Michael P Washburn
Journal:  Methods       Date:  2006-12       Impact factor: 3.608

4.  Informatics strategies for large-scale novel cross-linking analysis.

Authors:  Gordon A Anderson; Nikola Tolic; Xiaoting Tang; Chunxiang Zheng; James E Bruce
Journal:  J Proteome Res       Date:  2007-08-03       Impact factor: 4.466

5.  Quantitative proteomic profiling of muscle type-dependent and age-dependent protein carbonylation in rat skeletal muscle mitochondria.

Authors:  Juan Feng; Hongwei Xie; Danni L Meany; Ladora V Thompson; Edgar A Arriaga; Timothy J Griffin
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2008-11       Impact factor: 6.053

6.  Novel ion traps using planar resistive electrodes: implications for miniaturized mass analyzers.

Authors:  Daniel E Austin; Ying Peng; Brett J Hansen; Ivan W Miller; Alan L Rockwood; Aaron R Hawkins; Samuel E Tolley
Journal:  J Am Soc Mass Spectrom       Date:  2008-04-16       Impact factor: 3.109

7.  Identification of outer membrane proteins from an Antarctic bacterium Pseudomonas syringae Lz4W.

Authors:  M V Jagannadham; Ehab F Abou-Eladab; Heramb M Kulkarni
Journal:  Mol Cell Proteomics       Date:  2011-03-29       Impact factor: 5.911

8.  Systematic characterization of high mass accuracy influence on false discovery and probability scoring in peptide mass fingerprinting.

Authors:  Eric D Dodds; Brian H Clowers; Paul J Hagerman; Carlito B Lebrilla
Journal:  Anal Biochem       Date:  2007-10-11       Impact factor: 3.365

9.  Techniques for accurate protein identification in shotgun proteomic studies of human, mouse, bovine, and chicken lenses.

Authors:  Phillip A Wilmarth; Michael A Riviere; Larry L David
Journal:  J Ocul Biol Dis Infor       Date:  2009-12-12

10.  Adaptive discriminant function analysis and reranking of MS/MS database search results for improved peptide identification in shotgun proteomics.

Authors:  Ying Ding; Hyungwon Choi; Alexey I Nesvizhskii
Journal:  J Proteome Res       Date:  2008-09-13       Impact factor: 4.466

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