Biolog Phenotype MicroArray
     Serious Technology for Serious Microbiology December 2008
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Two new publications illustrate the use of PM Technology for validating bioinformatic predictions, identifying new pathways, and refining in silico models.

Phenotype MicroArray
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  High-Throughput Phenotypic Characterization of Pseudomonas aeruginosa Membrane Transport Genes
Johnson DA, Tetu SG, Phillippy K, Chen J, Ren Q, Paulsen IT. J Craig Venter Institute, Rockville, Maryland, United States of America. Paulsen and colleagues used PM metabolic assay to investigate the accuracy of bioinformatic predictions for carbon and nitrogen membrane transport genes. Twenty-seven of the 78 knockouts gave clear transporter phenotypes, and of these only 12 (44%) precisely matched the predicted annotation. In 10, a more precise annotation was obtained, and in 5 (18%), a significant re-annotation was enabled. New transporters were found for hydroxy-L-proline, N-acetyl-L-glutamate and histamine. The latter is the first histamine transporter to be identified.
 
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  Genome-scale reconstruction and analysis of the Pseudomonas putida KT2440 metabolic network facilitates applications in biotechnology.
Puchalka J, Oberhardt MA, Godinho M, Bielecka A, Regenhardt D, Timmis KN, Papin JA, Martins dos Santos VA. Synthetic and Systems Biology Group, Helmholtz Center for Infection Research (HZI), Braunschweig, Germany. Biolog carbon utilization assays were used to validate an in silico reconstruction of P. putida core metabolism.
 
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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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