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Detection of adamantane-resistant influenza on a microarray.


ABSTRACT: Influenza A has the ability to rapidly mutate and become resistant to the commonly prescribed influenza therapeutics, thereby complicating treatment decisions.To design a cost-effective low-density microarray for use in detection of influenza resistance to the adamantanes.We have taken advantage of functional genomics and microarray technology to design a DNA microarray that can detect the two most common mutations in the M2 protein associated with adamantane resistance, V27A and S31N.In a blind study of 22 influenza isolates, the antiviral resistance-chip (AVR-Chip) had a success rate of 95% for detecting these mutations. Microarray data from a larger set of samples were further analyzed using an artificial neural network and resulted in a correct identification rate of 94% for influenza virus samples that had V27A and S31N mutations.The AVR-Chip provided a method for rapidly screening influenza viruses for adamantane sensitivity, and the general approach could be easily extended to detect resistance to other chemotherapeutics.

SUBMITTER: Townsend MB 

PROVIDER: S-EPMC2493413 | biostudies-literature | 2008 Jun

REPOSITORIES: biostudies-literature

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Detection of adamantane-resistant influenza on a microarray.

Townsend Michael B MB   Smagala James A JA   Dawson Erica D ED   Deyde Varough V   Gubareva Larisa L   Klimov Alexander I AI   Kuchta Robert D RD   Rowlen Kathy L KL  

Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology 20080304 2


<h4>Background</h4>Influenza A has the ability to rapidly mutate and become resistant to the commonly prescribed influenza therapeutics, thereby complicating treatment decisions.<h4>Objective</h4>To design a cost-effective low-density microarray for use in detection of influenza resistance to the adamantanes.<h4>Study design</h4>We have taken advantage of functional genomics and microarray technology to design a DNA microarray that can detect the two most common mutations in the M2 protein assoc  ...[more]

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