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Development and Validation of an Haemophilus influenzae Supragenome Hybridization (SGH) Array for Transcriptomic Analyses
Journal article   Open access   Peer reviewed

Development and Validation of an Haemophilus influenzae Supragenome Hybridization (SGH) Array for Transcriptomic Analyses

Benjamin A. Janto, N. Luisa Hiller, Rory A. Eutsey, Margaret E. Dahlgren, Joshua P. Earl, Evan Powell, Azad Ahmed, Fen Z. Hu and Garth D. Ehrlich
PloS one, v 9(10), pp e105493-e105493
07 Oct 2014
PMID: 25290153
url
https://doi.org/10.1371/journal.pone.0105493View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Multidisciplinary Sciences Science & Technology Science & Technology - Other Topics
We previously carried out the design and testing of a custom-built Haemophilus influenzae supragenome hybridization (SGH) array that contains probe sequences to 2,890 gene clusters identified by whole genome sequencing of 24 strains of H. influenzae. The array was originally designed as a tool to interrogate the gene content of large numbers of clinical isolates without the need for sequencing, however, the data obtained is quantitative and is thus suitable for transcriptomic analyses. In the current study RNA was extracted from H. influenzae strain CZ4126/02 (which was not included in the design of the array) converted to cDNA, and labelled and hybridized to the SGH arrays to assess the quality and reproducibility of data obtained from these custom-designed chips to serve as a tool for transcriptomics. Three types of experimental replicates were analyzed with all showing very high degrees of correlation, thus validating both the array and the methods used for RNA profiling. A custom filtering pipeline for two-condition unpaired data using five metrics was developed to minimize variability within replicates and to maximize the identification of the most significant true transcriptional differences between two samples. These methods can be extended to transcriptional analysis of other bacterial species utilizing supragenome-based arrays.

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Collaboration types
Domestic collaboration
Web of Science research areas
Microbiology
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