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

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

Volume: 6 Issue: 2

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

Affiliation:

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

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.

Cite this article as:

Evangelou Andreas, Gortzak-Uzan Limor, Jurisica Igor and Kislinger Thomas, Mass Spectrometry, Proteomics, Data Mining Strategies and Their Applications in Infectious Disease Research., Anti-Infective Agents in Medicinal Chemistry 2007; 6 (2) . https://dx.doi.org/10.2174/187152107780361689