Biolog Phenotype MicroArray
     Serious Technology for Serious Microbiology April 2014
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Useful Links

Yeasts and Fungi Studied with Phenotype MicroArrays

Phenotype MicroArray
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One review article and two papers illustrate the use of Phenotype MicroArray technology in the study of yeast and filamentous fungi. Biolog offers PM MicroPlates and testing protocols for both metabolic profiling and chemical sensitivity testing of yeasts and fungi.
 
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  Presence of Proline has a Protective Effect on Weak Acid Stressed Saccharomyces cerevisiae
Using bespoke Phenotype MicroArray analysis, the authors show that proline has a protective effect on acetic acid stressed cells. The effect was concentration dependent and specific to acetic acid induced stress. Proline accumulating strains exhibited increased tolerance and proline deficient strains exhibited increased sensitivity to acetic acid.
 
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  Phenotype Microarray Technology and its Application in Industrial Biotechnology
This review covers the application of PM technology in industrial applications. Metabolic output is compared to NMR, GC/MS, and conventional microbiological screening. Species covered include Saccharomyces cerevisiae, Candida shehatae, and lager yeasts. Topics include microbe identification, strains with industrial potential, and metabolic profiling.
 
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  Nutritional Physiology of a Rock-Inhabiting, Model Microcolonial Fungus from an Ancestral Lineage of the Chaetothyriales (Ascomycetes)
Using Biolog Phenotype MicroArrays, the authors found microcolonial strain A95 to be osmotolerant, oligotrophic, and grow best at pH 5. In addition, a metabolic profile of substrate catabolism was obtained. This information aided in the development of a growth supporting synthetic medium.
 
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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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