Literature DB >> 15269249

Informatics platform for global proteomic profiling and biomarker discovery using liquid chromatography-tandem mass spectrometry.

Dragan Radulovic1, Salomeh Jelveh, Soyoung Ryu, T Guy Hamilton, Eric Foss, Yongyi Mao, Andrew Emili.   

Abstract

We have developed an integrated suite of algorithms, statistical methods, and computer applications to support large-scale LC-MS-based gel-free shotgun profiling of complex protein mixtures using basic experimental procedures. The programs automatically detect and quantify large numbers of peptide peaks in feature-rich ion mass chromatograms, compensate for spurious fluctuations in peptide signal intensities and retention times, and reliably match related peaks across many different datasets. Application of this toolkit markedly facilitates pattern recognition and biomarker discovery in global comparative proteomic studies, simplifying mechanistic investigation of physiological responses and the detection of proteomic signatures of disease.

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Year:  2004        PMID: 15269249     DOI: 10.1074/mcp.M400061-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  51 in total

1.  msCompare: a framework for quantitative analysis of label-free LC-MS data for comparative candidate biomarker studies.

Authors:  Berend Hoekman; Rainer Breitling; Frank Suits; Rainer Bischoff; Peter Horvatovich
Journal:  Mol Cell Proteomics       Date:  2012-02-07       Impact factor: 5.911

2.  Increased power for the analysis of label-free LC-MS/MS proteomics data by combining spectral counts and peptide peak attributes.

Authors:  Lee Dicker; Xihong Lin; Alexander R Ivanov
Journal:  Mol Cell Proteomics       Date:  2010-09-07       Impact factor: 5.911

3.  Synthetic peptide arrays for pathway-level protein monitoring by liquid chromatography-tandem mass spectrometry.

Authors:  Johannes A Hewel; Jian Liu; Kento Onishi; Vincent Fong; Shamanta Chandran; Jonathan B Olsen; Oxana Pogoutse; Mike Schutkowski; Holger Wenschuh; Dirk F H Winkler; Larry Eckler; Peter W Zandstra; Andrew Emili
Journal:  Mol Cell Proteomics       Date:  2010-05-13       Impact factor: 5.911

4.  Exploration of the normal human bronchoalveolar lavage fluid proteome.

Authors:  Jinzhi Chen; Soyoung Ryu; Sina A Gharib; David R Goodlett; Lynn M Schnapp
Journal:  Proteomics Clin Appl       Date:  2008-04       Impact factor: 3.494

5.  Mass spectrometry reveals specific and global molecular transformations during viral infection.

Authors:  Eden P Go; William R Wikoff; Zhouxin Shen; Grace O'Maille; Hirotoshi Morita; Thomas P Conrads; Anders Nordstrom; Sunia A Trauger; Wilasinee Uritboonthai; David A Lucas; King C Chan; Timothy D Veenstra; Hanna Lewicki; Michael B Oldstone; Anette Schneemann; Gary Siuzdak
Journal:  J Proteome Res       Date:  2006-09       Impact factor: 4.466

Review 6.  Advances in proteomics data analysis and display using an accurate mass and time tag approach.

Authors:  Jennifer S D Zimmer; Matthew E Monroe; Wei-Jun Qian; Richard D Smith
Journal:  Mass Spectrom Rev       Date:  2006 May-Jun       Impact factor: 10.946

7.  Nonlinear data alignment for UPLC-MS and HPLC-MS based metabolomics: quantitative analysis of endogenous and exogenous metabolites in human serum.

Authors:  Anders Nordström; Grace O'Maille; Chuan Qin; Gary Siuzdak
Journal:  Anal Chem       Date:  2006-05-15       Impact factor: 6.986

Review 8.  Accurate mass measurements in proteomics.

Authors:  Tao Liu; Mikhail E Belov; Navdeep Jaitly; Wei-Jun Qian; Richard D Smith
Journal:  Chem Rev       Date:  2007-07-25       Impact factor: 60.622

9.  IDAWG: Metabolic incorporation of stable isotope labels for quantitative glycomics of cultured cells.

Authors:  Ron Orlando; Jae-Min Lim; James A Atwood; Peggi M Angel; Meng Fang; Kazuhiro Aoki; Gerardo Alvarez-Manilla; Kelley W Moremen; William S York; Michael Tiemeyer; Michael Pierce; Stephen Dalton; Lance Wells
Journal:  J Proteome Res       Date:  2009-08       Impact factor: 4.466

10.  Proteomic classification of acute leukemias by alignment-based quantitation of LC-MS/MS data sets.

Authors:  Eric J Foss; Dragan Radulovic; Derek L Stirewalt; Jerald Radich; Olga Sala-Torra; Era L Pogosova-Agadjanyan; Shawna M Hengel; Keith R Loeb; H Joachim Deeg; Soheil Meshinchi; David R Goodlett; Antonio Bedalov
Journal:  J Proteome Res       Date:  2012-09-11       Impact factor: 4.466

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