Mass Spectrometry, Proteomics, Data Mining Strategies and Their Applications in Infectious Disease Research.

ISSN: 2211-3533 (Online)
ISSN: 2211-3525 (Print)


Volume 14, 2 Issues, 2016


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Anti-Infective Agents

Formerly: Anti-Infective Agents in Medicinal Chemistry

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Mass Spectrometry, Proteomics, Data Mining Strategies and Their Applications in Infectious Disease Research.



Anti-Infective Agents, 6(2): 89-105.

Author(s): Andreas Evangelou, Limor Gortzak-Uzan, Igor Jurisica and Thomas Kislinger.

Affiliation: Ontario Cancer Institute,Toronto Medical Discovery Tower, 101 College Street, Toronto, Ontario M5G 1L7, Canada.

Abstract

The ultimate goal of proteome research is the comprehensive description of all proteins present in a given sample using qualitative, quantitative and functional metrics. Traditionally, protein mixtures were first separated by twodimensional gel electrophoresis and spots of interest were excised, in-gel digested and analyzed by mass spectrometry (MS). In most cases, protein identification was done by MALDI-TOF-MS (matrix-assisted laser desorption/ionization time-of-flight). The methodology is time consuming and rarely leads to a comprehensive description of the analyzed proteome. Over the last years shot-gun expression profiling methodologies were developed and can identify thousands of proteins in complex biological samples in a single experiment. We will provide a short historic overview of proteome research and mass spectrometry technologies currently used in the systems biology community. In particular, we will summarize the developments and applications of shot-gun proteomics and allied computational data mining tools to medical research and infectious disease research.

Keywords:

mass spectrometers (MS), high pressure liquid chromatography, electrospray ionization, MALDI-TOF-MS, Multidimensional Protein Identification Technology, Mass Spectral Peak Integration.



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Article Details

Volume: 6
Issue Number: 2
First Page: 89
Last Page: 105
Page Count: 17
DOI: 10.2174/187152107780361689
Price: $58
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