Biolog Phenotype MicroArray
     Serious Technology for Serious Microbiology August 2006
""
     
 
""

Useful Links

New Publications using Phenotype MicroArray Technology

Phenotype MicroArray
""
"" "" ""
 
  Identification of SNPs in two Salmonella enterica serovar Enteritidis PT13a pathotypes that point to epidemiological trends
There has been an increasing number of infections leading to salmonellosis by Salmonella enterica serovar Enteritidis in the United States. Using preliminary genomic sequence data of Salmonella enterica subsp. I serovar Enteritidis PT4 from the Sanger Institute as a starting point, researchers at The Egg Safety and Quality Research Unit (ESQRU) of the U. S. Department of Agriculture have identified a set of potential SNPs that point to differences between two PT13a pathotypes that may be relevant in distinguishing phenotypic traits that may have epidemiological consequences.
 
"" ""
  Exploring Genotypic and Phenotypic Diversity of Microbes Using Microarray Approaches
Application of genome-scale analysis likeDNAmicroarray technology has revolutionized multiple scientific disciplines. Herein, a next generation of DNA microarrays, a DNA tiling approach that allows high throughput sampling of genomes with single-nucleotide precision, is described. As methods revealing a genomic scale examination of cellular phenotypes offer keen insights for genomic analyses, a high throughput system for whole cell phenotyping is similarly detailed. The merit of these technologies in discriminating pathogenic and commensal strains of microbes is emphasized using the microbe, Escherichia coli, as an example. Deployment of microarray strategies to assess closely-related microbial strains should help address diversity of organisms in their feral settings.
 
"" "" ""
 
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.
 
""""""
""""""