Web Release Date: October 18,
MChip: A Tool for Influenza Surveillance
and
Department of Chemistry and Biochemistry, UCB 215, University of Colorado at Boulder, Boulder, Colorado 80309, Influenza Division, The Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, Georgia 30333, and InDevR, LLC, 2100 Central Avenue, Suite 106, Boulder, Colorado 80301
Received for review September 15, 2006. Accepted October 4, 2006.
Abstract:
The design and characterization of a low-density microarray for subtyping influenza A is presented. The microarray consisted of 15 distinct oligonucleotides designed to target only the matrix gene segment of influenza A. An artificial neural network was utilized to automate microarray image interpretation. The neural network was trained to recognize fluorescence image patterns for 68 known influenza viruses and subsequently used to identify 53 unknowns in a blind study that included 39 human patient samples and 14 negative control samples. The assay exhibited a clinical sensitivity of 95% and clinical specificity of 92%.
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