Biolog Phenotype MicroArray
     Serious Technology for Serious Microbiology February 2008
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Phenotype MicroArrays used in the study of two-component systems regulating carbon and nitrogen metabolism in Pseudomonas

Phenotype MicroArray
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  Regulation of carbon and nitrogen utilization by CbrAB and NtrBC two-component systems in Pseudomonas aeruginosa.
Li W, Lu CD. Department of Biology, Georgia State University, Atlanta, GA 30303, USA. In this study, PM1, PM2, and PM3 were used to characterize carbon and nitrogen metabolism of a cbrAB deletion mutant and it's supressors (ntrB alleles). Combining PM studies with activity profile data for key enzymes, the authors were able to observe clear metabolic phenotypes and their partial reversal by suppressors. "This study supports the notion that CbrAB and NtrBC form a network to control the C/N balance in P. aeruginosa."
 
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  Dual Involvement of CbrAB and NtrBC in the Regulation of Histidine Utilization in Pseudomonas fluorescens SBW25.
Zhang XX, Rainey PB. Institute of Molecular Biosciences and New Zealand Institute for Advanced Study, Massey University, Auckland, New Zealand. Effects on transcription and metabolism were reported for cbrB, ntrC, and cbrB ntrC double mutants. The authors found metabolic deficiencies in the double mutant that were not present in either single mutant indicating redundancy for these functions. This data is used to "show that NtrC is involved in nitrogen metabolism and that CbrB is primarily a regulator of carbon-source utilization; however, CbrB is also involved in the utilization of nitrogen substrates-and in some cases utilisation of substrates as both carbobn and nitrogen sources".
 
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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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