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Dataset Information

The Detection and Subtyping of Seasonal Influenza A H1N1 Isolates Using a Microarray

ABSTRACT: An influenza A microarray was used to type influenza A H1N1 specimens collected in Washington State and the results compared with identification by both culture and real time RT PCR. The microarray was more sensitive than conventional influenza testing. Cluster analysis of the microarray data discriminated specimens into distinct clades. Specimens from two pediatric decedents formed a unique clade upon H1 analysis. Keywords: Comparative genome study; Influenza A strains; Subtype H1N1 23 influenza A H1N1 specimens collected in Washington State were subtyped by microarray and data was compared with identification by both culture and real time RT PCR.

ORGANISM(S): Influenza A virus

SUBMITTER: Michael Lodes

PROVIDER: E-GEOD-12226 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Identification of upper respiratory tract pathogens using electrochemical detection on an oligonucleotide microarray.

Lodes Michael J MJ Suciu Dominic D Wilmoth Jodi L JL Ross Marty M Munro Sandra S Dix Kim K Bernards Karen K Stöver Axel G AG Quintana Miguel M Iihoshi Naomi N Lyon Wanda J WJ Danley David L DL McShea Andrew A

PloS one 20070926 9

Bacterial and viral upper respiratory infections (URI) produce highly variable clinical symptoms that cannot be used to identify the etiologic agent. Proper treatment, however, depends on correct identification of the pathogen involved as antibiotics provide little or no benefit with viral infections. Here we describe a rapid and sensitive genotyping assay and microarray for URI identification using standard amplification and hybridization techniques, with electrochemical detection (ECD) on a se ...[more]

PMID: 17895966

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Project description:The purpose of the study was to assess the patterns of global gene expression in peripheral blood cells and uncover the complex dynamics of host response to ARIs such as pandemic H1N1. To understand the molecular bases and network orchestration of host responses, we prospectively enrolled 1610 healthy adults in the fall of 2009 and 2010, followed the subjects with influenza-like illness (N=133) for 3 weeks, and examined changes in their peripheral blood gene expression. We discovered distinct phases of the host response spanning 6 days after infection, and identified genes that differentiate influenza from non-influenza virus infection. We examined pre- and post-infection anti-influenza antibody titers defining novel gene expression correlates. Healthy adults were invited to enroll to be followed for acute respiratory illness (ARI) through two consecutive influenza seasons 2009-2010 and 2010-2011. After subjects provided consent, baseline blood specimens were obtained during enrollment. Subjects were given thermometers and instructions to call and report for evaluation within 48 hours of ARI onset. Those persons who had a new ARI were seen within 48 hours of onset (day 0) and 2, 4, and 6 days later for repeat evaluation, blood specimen collections, and medical care (including the antiviral zanamivir if indicated) and 21 days later for collection of convalescent specimens. Nasal wash samples were collected for virus detection by RT-PCR on day 0 and day 2. Surveillance for influenza was terminated after 5.5 months; all subjects were asked to return for specimen collection and to provide a medical and ARI history in spring of next year. Serum specimens obtained at baseline, day 0 and day 21 visits for illnesses, and the terminal visit were tested simultaneously using hemagglutination-inhibition (HAI) antibody assay for Influenza H1N1, H3N2, and Influenza B strains. Peripheral blood RNA (PaxGene) obtained from blood specimens at each visit were analyzed using Illumina Human HT-12 v4. The study was repeated 2010-2011. A total of 880 arrays, corresponding to 133 individuals, passed quality control and are included in this data set.

Dataset Information

The Detection and Subtyping of Seasonal Influenza A H1N1 Isolates Using a Microarray

Publications

Identification of upper respiratory tract pathogens using electrochemical detection on an oligonucleotide microarray.

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