Biolog Phenotype MicroArray
     Serious Technology for Serious Microbiology July 2015
""
     
 
""

Useful Links

Role of Carbon Catabolism in Virulence and Adaptation

Phenotype MicroArray
""
"" "" ""
 
 
We present three papers focused on virulence and adaptation.  Biolog's Phenotype MicroArrays were used to discover carbon source utilization phenotypes. These studies highlight how alterations in carbon metabolism are used by Enterobacteriaceae for virulence and adaptation.      
 
"" "" ""
  Role of Intracellular Carbon Metabolism Pathways in Shigella flexneri Virulence
Mutants in carbon glycolytic pathways were studied to determine which pathway is used by S. flexneri in the cytoplasm of epithelial cells.  Glycolysis mutants that formed small plaques were found to form larger plaques when pyruvate was added to the medium.  These data were found to be consistent with Phenotype MicroArray data.
 
""""""
  Genomic and Phenotypic characterization of Vibrio cholerae non-O1 Isolates from a US Gulf Coast Cholera Outbreak
Isolates from a US gulf coast outbreak were characterized.  Biolog Phenotype MicroArrays demonstrated functional catabolism of sialic acid, which may confer a competetive advantage in the gut.  Tests also confirmed maltose metabolism, which is needed for virulence.  Additional aspects of the Biolog profiles were also used in comparative phenotypic characterization.
 
""""""
  Genotype and Phenotypes of an Intestine-Adapted Escherichia coli K-12 Mutant Selected by Animal Passage for Superior Colonization
Intestine adapted E. coli MG1655 was studied with genome sequencing, DNA microarrays, and Biolog Phenotype MicroArrays.  Resutls indicated that loss of the flhDC locus explains the colonization advantage and is responsible for altered gene expression and enhanced carbon source oxidation.  Loss of flhDC enhances metabolic efficiency and colonization.
 
""""""
 
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.
 
""""""
""""""