Chapter 26 : Bacterial Proteomics

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The concept of proteomics signatures is a recurring theme throughout many of the investigations for bacterial systems. The characterization of microbial proteomes is associated with many different areas of investigation of microbial gene expression and physiology. This chapter draws on experiments primarily from work carried out on pathogenic bacterial systems. Proteome databases based on the proteins resolved by two-dimensional gel electrophoresis (2-DGE) are being developed for a number of model organisms including , , and the cyanobacterium sp. strain PCC6803, each of which can be accessed via the Internet. There are also a limited number of databases developed for clinically relevant bacteria. Some of the key outcomes of representative proteome databases are discussed. The comparative studies demonstrate the potential of proteomics to distinguish related bacterial isolates. One difficulty in interpreting the data obtained from the comparative studies described is in the selection of the specific virulent and avirulent strains used as the basis for the comparison. In parallel with genome-based technologies, proteomics has played a role in the development of therapeutic strategies via the identification of novel vaccine and antibiotic targets.

Citation: Cash P. 2004. Bacterial Proteomics, p 260-279. In Bull A (ed), Microbial Diversity and Bioprospecting. ASM Press, Washington, DC. doi: 10.1128/9781555817770.ch26
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Figure 1

Typical strategy for studies combining proteomic and genomic analysis. This example illustrates the process for investigating bacterial response to a defined stimulus. (A) Bacteria are exposed to the stimulus under study and grown in parallel with control bacterial cultures. (B) The bacterial proteins are extracted from the cells and analyzed by 2-DGE; all assays are replicated to account for the inherent variability associated with 2-DGE. (C) Computer analysis is used to compare the protein profiles from different 2-D gels and to quantify the individual proteins across the gel series. Each histogram shows the amount of individual proteins across the series of four gels. (D) Proteins showing differential levels of expression are located and identified by peptide mass mapping. (E) Once target proteins are identified, complementary technologies (e.g., recombinant DNA techniques) can be used to further define the response of the bacteria.

Citation: Cash P. 2004. Bacterial Proteomics, p 260-279. In Bull A (ed), Microbial Diversity and Bioprospecting. ASM Press, Washington, DC. doi: 10.1128/9781555817770.ch26
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Table 1

Representative bacterial proteome database.

Citation: Cash P. 2004. Bacterial Proteomics, p 260-279. In Bull A (ed), Microbial Diversity and Bioprospecting. ASM Press, Washington, DC. doi: 10.1128/9781555817770.ch26

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