Literature DB >> 19304874

Automated diagnosis of LC-MS/MS performance.

Hua Xu1, Michael A Freitas.   

Abstract

SUMMARY: We report a software scheme for automated diagnosis of liquid chromatography tandem mass spectrometry (LC-MS/MS) system performance. The proposed software scheme provides a robust framework for establishing automated diagnosis of LC-MS/MS system performance for a variety of instruments and experiments. This schematic consists of four main software components: (i) data conversion, (ii) peptide identification, (iii) LC retention time analysis and (iv) system performance evaluation. The implementation of a standard approach for assessing LC-MS/MS system performance enables researchers to apply reliable metrics to assess their workflows performance over different batch experiments. Furthermore, the results from system diagnosis can provide feedback to the workflow to stop batch analysis if system performance falls below prescribed thresholds. A basic implementation of the approach based on the MassMatrix database search and LC retention time analysis programs is presented. AVAILABILITY: An open source implementation of the LC-MS/MS system diagnosis software based on the MassMatrix database search program is freely available to non-commercial users and can be downloaded at www.massmatrix.net.

Mesh:

Substances:

Year:  2009        PMID: 19304874      PMCID: PMC2677746          DOI: 10.1093/bioinformatics/btp155

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


  7 in total

Review 1.  Mass spectrometry-based proteomics.

Authors:  Ruedi Aebersold; Matthias Mann
Journal:  Nature       Date:  2003-03-13       Impact factor: 49.962

Review 2.  Large-scale database searching using tandem mass spectra: looking up the answer in the back of the book.

Authors:  Rovshan G Sadygov; Daniel Cociorva; John R Yates
Journal:  Nat Methods       Date:  2004-12       Impact factor: 28.547

Review 3.  Informatics for peptide retention properties in proteomic LC-MS.

Authors:  Kosaku Shinoda; Masahiro Sugimoto; Masaru Tomita; Yasushi Ishihama
Journal:  Proteomics       Date:  2008-02       Impact factor: 3.984

4.  Monte carlo simulation-based algorithms for analysis of shotgun proteomic data.

Authors:  Hua Xu; Michael A Freitas
Journal:  J Proteome Res       Date:  2008-06-11       Impact factor: 4.466

5.  Clinical proteomics: A need to define the field and to begin to set adequate standards.

Authors:  Harald Mischak; Rolf Apweiler; Rosamonde E Banks; Mark Conaway; Joshua Coon; Anna Dominiczak; Jochen H H Ehrich; Danilo Fliser; Mark Girolami; Henning Hermjakob; Denis Hochstrasser; Joachim Jankowski; Bruce A Julian; Walter Kolch; Ziad A Massy; Christian Neusuess; Jan Novak; Karlheinz Peter; Kasper Rossing; Joost Schanstra; O John Semmes; Dan Theodorescu; Visith Thongboonkerd; Eva M Weissinger; Jennifer E Van Eyk; Tadashi Yamamoto
Journal:  Proteomics Clin Appl       Date:  2007-01-22       Impact factor: 3.494

6.  A robust linear regression based algorithm for automated evaluation of peptide identifications from shotgun proteomics by use of reversed-phase liquid chromatography retention time.

Authors:  Hua Xu; Lanhao Yang; Michael A Freitas
Journal:  BMC Bioinformatics       Date:  2008-08-19       Impact factor: 3.169

7.  A mass accuracy sensitive probability based scoring algorithm for database searching of tandem mass spectrometry data.

Authors:  Hua Xu; Michael A Freitas
Journal:  BMC Bioinformatics       Date:  2007-04-20       Impact factor: 3.169

  7 in total
  7 in total

1.  Investigation of phycobilisome subunit interaction interfaces by coupled cross-linking and mass spectrometry.

Authors:  Ofir Tal; Beny Trabelcy; Yoram Gerchman; Noam Adir
Journal:  J Biol Chem       Date:  2014-10-08       Impact factor: 5.157

2.  Orange carotenoid protein burrows into the phycobilisome to provide photoprotection.

Authors:  Dvir Harris; Ofir Tal; Denis Jallet; Adjélé Wilson; Diana Kirilovsky; Noam Adir
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-08       Impact factor: 11.205

3.  Proteome and transcriptome profiles of a Her2/Neu-driven mouse model of breast cancer.

Authors:  Regine M Schoenherr; Karen S Kelly-Spratt; ChenWei Lin; Jeffrey R Whiteaker; Tao Liu; Ted Holzman; Ilsa Coleman; Li-Chia Feng; Travis D Lorentzen; Alexei L Krasnoselsky; Pei Wang; Yan Liu; Kay E Gurley; Lynn M Amon; Athena A Schepmoes; Ronald J Moore; David G Camp; Lewis A Chodosh; Richard D Smith; Peter S Nelson; Martin W McIntosh; Christopher J Kemp; Amanda G Paulovich
Journal:  Proteomics Clin Appl       Date:  2011-02-15       Impact factor: 3.494

4.  Conformational dynamics of activation for the pentameric complex of dimeric G protein-coupled receptor and heterotrimeric G protein.

Authors:  Tivadar Orban; Beata Jastrzebska; Sayan Gupta; Benlian Wang; Masaru Miyagi; Mark R Chance; Krzysztof Palczewski
Journal:  Structure       Date:  2012-05-09       Impact factor: 5.006

5.  PAR4 activation involves extracellular loop 3 and transmembrane residue Thr153.

Authors:  Xu Han; Lukas Hofmann; Maria de la Fuente; Nathan Alexander; Krzysztof Palczewski; Marvin T Nieman
Journal:  Blood       Date:  2020-11-05       Impact factor: 25.476

6.  Histone post-translational modifications in frontal cortex from human donors with Alzheimer's disease.

Authors:  Kyle W Anderson; Illarion V Turko
Journal:  Clin Proteomics       Date:  2015-10-01       Impact factor: 3.988

7.  Cyclic Rhamnosylated Elongation Factor P Establishes Antibiotic Resistance in Pseudomonas aeruginosa.

Authors:  Andrei Rajkovic; Sarah Erickson; Anne Witzky; Owen E Branson; Jin Seo; Philip R Gafken; Michael A Frietas; Julian P Whitelegge; Kym F Faull; William Navarre; Andrew J Darwin; Michael Ibba
Journal:  MBio       Date:  2015-06-09       Impact factor: 7.867

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.