Literature DB >> 15637048

High throughput proteome screening for biomarker detection.

Sheng Pan1, Hui Zhang, John Rush, Jimmy Eng, Ning Zhang, Dale Patterson, Michael J Comb, Ruedi Aebersold.   

Abstract

Mass spectrometry-based quantitative proteomics has become an important component of biological and clinical research. Current methods, while highly developed and powerful, are falling short of their goal of routinely analyzing whole proteomes mainly because the wealth of proteomic information accumulated from prior studies is not used for the planning or interpretation of present experiments. The consequence of this situation is that in every proteomic experiment the proteome is rediscovered. In this report we describe an approach for quantitative proteomics that builds on the extensive prior knowledge of proteomes and a platform for the implementation of the method. The method is based on the selection and chemical synthesis of isotopically labeled reference peptides that uniquely identify a particular protein and the addition of a panel of such peptides to the sample mixture consisting of tryptic peptides from the proteome in question. The platform consists of a peptide separation module for the generation of ordered peptide arrays from the combined peptide sample on the sample plate of a MALDI mass spectrometer, a high throughput MALDI-TOF/TOF mass spectrometer, and a suite of software tools for the selective analysis of the targeted peptides and the interpretation of the results. Applying the method to the analysis of the human blood serum proteome we demonstrate the feasibility of using mass spectrometry-based proteomics as a high throughput screening technology for the detection and quantification of targeted proteins in a complex system.

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Year:  2005        PMID: 15637048     DOI: 10.1074/mcp.M400161-MCP200

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


  32 in total

Review 1.  Mass spectrometry based glycoproteomics--from a proteomics perspective.

Authors:  Sheng Pan; Ru Chen; Ruedi Aebersold; Teresa A Brentnall
Journal:  Mol Cell Proteomics       Date:  2010-08-24       Impact factor: 5.911

2.  Identification of glycoproteins from mouse skin tumors and plasma.

Authors:  Yuan Tian; Karen S Kelly-Spratt; Christopher J Kemp; Hui Zhang
Journal:  Clin Proteomics       Date:  2008-12-01       Impact factor: 3.988

3.  Identification of glycoproteins containing specific glycans using a lectin-chemical method.

Authors:  Yan Li; Punit Shah; Angelo M De Marzo; Jennifer E Van Eyk; Qianqian Li; Daniel W Chan; Hui Zhang
Journal:  Anal Chem       Date:  2015-04-20       Impact factor: 6.986

4.  Deconvolution filters to enhance resolution of dense time-of-flight survey spectra in the time-lag optimization range.

Authors:  Dariya I Malyarenko; William E Cooke; Eugene R Tracy; Michael W Trosset; O John Semmes; Maciek Sasinowski; Dennis M Manos
Journal:  Rapid Commun Mass Spectrom       Date:  2006       Impact factor: 2.419

5.  Resampling and deconvolution of linear time-of-flight records for enhanced protein profiling.

Authors:  Dariya I Malyarenko; William E Cooke; Eugene R Tracy; Richard R Drake; Susanna Shin; O John Semmes; Maciek Sasinowski; Dennis M Manos
Journal:  Rapid Commun Mass Spectrom       Date:  2006       Impact factor: 2.419

Review 6.  Neuroproteomics: relevance to anxiety disorders.

Authors:  Joachim D K Uys; Dan J Stein; Willie M U Daniels
Journal:  Curr Psychiatry Rep       Date:  2006-08       Impact factor: 5.285

7.  Antibody-based enrichment of peptides on magnetic beads for mass-spectrometry-based quantification of serum biomarkers.

Authors:  Jeffrey R Whiteaker; Lei Zhao; Heidi Y Zhang; Li-Chia Feng; Brian D Piening; Leigh Anderson; Amanda G Paulovich
Journal:  Anal Biochem       Date:  2006-12-20       Impact factor: 3.365

8.  Development of a high-throughput IMS-IMS-MS approach for analyzing mixtures of biomolecules.

Authors:  Ruwan T Kurulugama; Stephen J Valentine; Rena A Sowell; David E Clemmer
Journal:  J Proteomics       Date:  2008-06-25       Impact factor: 4.044

9.  A bioinformatics approach for biomarker identification in radiation-induced lung inflammation from limited proteomics data.

Authors:  Jung Hun Oh; Jeffrey M Craft; Reid Townsend; Joseph O Deasy; Jeffrey D Bradley; Issam El Naqa
Journal:  J Proteome Res       Date:  2011-02-16       Impact factor: 4.466

10.  BioSunMS: a plug-in-based software for the management of patients information and the analysis of peptide profiles from mass spectrometry.

Authors:  Yuan Cao; Na Wang; Xiaomin Ying; Ailing Li; Hengsha Wang; Xuemin Zhang; Wuju Li
Journal:  BMC Med Inform Decis Mak       Date:  2009-02-17       Impact factor: 2.796

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