Literature DB >> 17893859

High-performance proteomics as a tool in biomarker discovery.

Helmut E Meyer1, Kai Stühler.   

Abstract

Biomarkers allowing early detection of disease or therapy control have a huge influence in curing a disease. A wide variety of methods were applied to find new biomarkers. In contrast to methods focused on DNA or mRNA techniques, approaches considering proteins as potential biomarker candidates have the advantage that proteins are more diverse than DNA or RNA and are more reflective of a biological system. Here, we present an approach for the identification of new biomarkers relying on our experience from the past 10 years of proteomics, outlining a concept of "high-performance proteomics" This approach is based on quantitative proteome analysis using a sufficient number of clinical samples and statistical validation of proteomics data by independent methods, such as Western blot analysis or immunohistochemistry.

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Year:  2007        PMID: 17893859     DOI: 10.1002/pmic.200700183

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  7 in total

Review 1.  Neuroproteomics as a promising tool in Parkinson's disease research.

Authors:  Ilse S Pienaar; William M U Daniels; Jürgen Götz
Journal:  J Neural Transm (Vienna)       Date:  2008-06-04       Impact factor: 3.575

2.  Enhanced information output from shotgun proteomics data by protein quantification and peptide quality control (PQPQ).

Authors:  Jenny Forshed; Henrik J Johansson; Maria Pernemalm; Rui M M Branca; Annsofi Sandberg; Janne Lehtiö
Journal:  Mol Cell Proteomics       Date:  2011-07-06       Impact factor: 5.911

3.  High Performance IT-MS Sequencing of Glycans (Spatial Resolution of Ovalbumin Isomers).

Authors:  Jenny Jiao; Hailong Zhang; Vernon N Reinhold
Journal:  Int J Mass Spectrom       Date:  2011-06-01       Impact factor: 1.986

Review 4.  Toward design-based engineering of industrial microbes.

Authors:  Keith E J Tyo; Kanokarn Kocharin; Jens Nielsen
Journal:  Curr Opin Microbiol       Date:  2010-03-11       Impact factor: 7.934

5.  Urinary protein profiles in a rat model for diabetic complications.

Authors:  Daniela M Schlatzer; Jean-Eudes Dazard; Moyez Dharsee; Rob M Ewing; Serguei Ilchenko; Ian Stewart; George Christ; Mark R Chance
Journal:  Mol Cell Proteomics       Date:  2009-06-04       Impact factor: 5.911

Review 6.  Molecular signatures of obstructive sleep apnea in adults: a review and perspective.

Authors:  Erna S Arnardottir; Miroslaw Mackiewicz; Thorarinn Gislason; Karen L Teff; Allan I Pack
Journal:  Sleep       Date:  2009-04       Impact factor: 5.849

7.  A chemical glycoproteomics platform reveals O-GlcNAcylation of mitochondrial voltage-dependent anion channel 2.

Authors:  Krishnan K Palaniappan; Matthew J Hangauer; Timothy J Smith; Brian P Smart; Austin A Pitcher; Emily H Cheng; Carolyn R Bertozzi; Michael Boyce
Journal:  Cell Rep       Date:  2013-10-10       Impact factor: 9.423

  7 in total

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