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The development of DNA microarrays for use in microbiological applications has catalyzed a fundamental shift in the types of studies that can be performed. No longer is one limited to studying a single gene or operon; instead microarrays provide a global view of genome-wide changes in expression, allowing the researcher to view all aspects of the complex interaction between the organism and its response to changes in its environment. This comprehensive and hypothesis-free analysis method allows scientists to discover and understand regulatory pathways in their entirety. Data from a single microarray experiment, whether gene expression profiling, genotyping, or DNA resequencing, can often be used for a number of different applications that would otherwise have required the compilation of data from numerous independent experiments. The power of this massively parallel approach to genetic analysis can be seen in the following applications.
Different strains of the same species or members of the same genus may exhibit similar phenotypic traits, while their relative genetic similarity may be quite different. GeneChip expression arrays have been used to reveal genome-wide differences in chromosomal content in highly related strains.
Infection of the host by a pathogen leads to global changes in gene expression in both the pathogen as it responds to the host and in the host to it responds to the pathogen. Numerous studies have used GeneChip expression arrays to examine these changes in gene expression in human and murine models.

Detecting the presence of specific pathogens in complex backgrounds, both with respect to sample matrix and microbial diversity, especially low levels of pathogens, is a difficult and time-consuming process. GeneChip arrays have been used to rapidly detect multiple pathogens simultaneously, and to identify pathogens to the species level.

Traditional typing techniques are often unable to distinguish between genetically similar strains, especially at the level of single nucleotide polymorphisms. A new approach to characterizing small genetic differences in previously indistinguishable isolates of the same species employs CustomSeq resequencing arrays to classify strains by antibiotic resistance or virulence factors.

Microorganisms respond to their environment by altering gene expression, whether inducing biosynthetic operons to metabolize alternative carbon sources or repressing the synthesis of membrane transport proteins when exposed to antibiotics. Using GeneChip expression arrays, researchers can visualize the global changes in gene expression as the organism adjusts to changes in environmental conditions.
Pathogenic agents often alter the proteins expressed on their cell surfaces to escape detection by the host immunosurveillance systems. By analyzing these changes with GeneChip arrays, scientists can visualize all of the genes expressed under in vivo conditions, allowing the identification of even rarely expressed, but potentially important, potential vaccine candidates.

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