MChip: A Tool for Influenza Surveillance
| Autor: | Michael B. Townsend, Robert D. Kuchta, Erica D. Dawson, Martin Mehlmann, Chad L. Moore, Kathy L. Rowlen, James A. Smagala, Daniela M. Dankbar, Nancy J. Cox, Catherine B. Smith |
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| Rok vydání: | 2006 |
| Předmět: |
Microarray
Chemistry Human patient Reproducibility of Results Negative control Influenza a Computational biology Orthomyxoviridae Sensitivity and Specificity Subtyping Analytical Chemistry Automation mChip Blind study Microscopy Fluorescence Molecular Diagnostic Techniques Influenza A virus Image Interpretation Computer-Assisted Humans Electrophoresis Polyacrylamide Gel Neural Networks Computer Microarray image Oligonucleotide Array Sequence Analysis |
| Zdroj: | Analytical Chemistry. 78:7610-7615 |
| ISSN: | 1520-6882 0003-2700 |
| DOI: | 10.1021/ac061739f |
| Popis: | 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%. |
| Databáze: | OpenAIRE |
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