Biolog Phenotype MicroArray
     Serious Technology for Serious Microbiology December 2014
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Acinetobacter baumanni studied with Phenotype MicroArrays

Phenotype MicroArray
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Several investigators have made use of Biolog's OmniLog System for Phenotype MicroArrays to study Acinetobacter baumannii. Community acquired isolates were compared to nosocomial isolates. A hypermotile mutant was determined to have loss of regulatory control.
 
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  The Complete Genome and Phenome of a Community-Acquired Acinetobacter baumannii
Genomics and phenomics of community-acquired A. baumanii (D1279779) were compared with those of nosocomial isolates. Comparative genomics identified accessory gene clusters of a variety of predicted functions. Phenotype MicroArray analysis indicated that D1279779 can use a broader range of metabolic substrates and is more sensitive to antimicrobial compounds.
 
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  H-NS plays a role in Expression of Acinetobacter baumannii Virulence Features
Genomics and phenomics of community-acquired A. baumanii (D1279779) were compared with those of nosocomial isolates. Comparative genomics identified accessory gene clusters of a variety of predicted functions. Phenotype MicroArray analysis indicated that D1279779 can use a broader range of metabolic substrates and is more sensitive to antimicrobial compounds.
 
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  The Success of Acinetobacter Species; Genetic, Metabolic and Virulence Attributes
Genomic, phenotypic, and virulence studies were used to characterize species of Acinetobacter. Phenotype MicroArray analysis showed that A. baumanii used nitrogen sources more effectively and was more resistant than A. calcoaceticus. These studies show differences in clinical relevance among the species.
 
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Phenotype MicroArray Technology
Biolog's Phentoype MicroArray technology enables researchers to evaluate nearly 2000 phenotypes of a microbial cell in a single experiment. This integrated system of cellular assays, instrumentation and bioinformatics software provides cellular knowledge that complements molecular information, helping you interpret and find the relevant aspects in massive amounts of gene expression or proteomics data. Through comprehensive and precise quantitation of phenotypes, researchers are able to obtain an unbiased perspective of the effect on cells of genetic differences, environmental change, exposure to chemicals or drugs, and more.
 
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