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

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 in...

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Autores principales: Janto, Benjamin A., Hiller, N. Luisa, Eutsey, Rory A., Dahlgren, Margaret E., Earl, Joshua P., Powell, Evan, Ahmed, Azad, Hu, Fen Z., Ehrlich, Garth D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4188559/
https://www.ncbi.nlm.nih.gov/pubmed/25290153
http://dx.doi.org/10.1371/journal.pone.0105493
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author Janto, Benjamin A.
Hiller, N. Luisa
Eutsey, Rory A.
Dahlgren, Margaret E.
Earl, Joshua P.
Powell, Evan
Ahmed, Azad
Hu, Fen Z.
Ehrlich, Garth D.
author_facet Janto, Benjamin A.
Hiller, N. Luisa
Eutsey, Rory A.
Dahlgren, Margaret E.
Earl, Joshua P.
Powell, Evan
Ahmed, Azad
Hu, Fen Z.
Ehrlich, Garth D.
author_sort Janto, Benjamin A.
collection PubMed
description 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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spelling pubmed-41885592014-10-10 Development and Validation of an Haemophilus influenzae Supragenome Hybridization (SGH) Array for Transcriptomic Analyses Janto, Benjamin A. Hiller, N. Luisa Eutsey, Rory A. Dahlgren, Margaret E. Earl, Joshua P. Powell, Evan Ahmed, Azad Hu, Fen Z. Ehrlich, Garth D. PLoS One Research Article 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. Public Library of Science 2014-10-07 /pmc/articles/PMC4188559/ /pubmed/25290153 http://dx.doi.org/10.1371/journal.pone.0105493 Text en © 2014 Janto et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Janto, Benjamin A.
Hiller, N. Luisa
Eutsey, Rory A.
Dahlgren, Margaret E.
Earl, Joshua P.
Powell, Evan
Ahmed, Azad
Hu, Fen Z.
Ehrlich, Garth D.
Development and Validation of an Haemophilus influenzae Supragenome Hybridization (SGH) Array for Transcriptomic Analyses
title Development and Validation of an Haemophilus influenzae Supragenome Hybridization (SGH) Array for Transcriptomic Analyses
title_full Development and Validation of an Haemophilus influenzae Supragenome Hybridization (SGH) Array for Transcriptomic Analyses
title_fullStr Development and Validation of an Haemophilus influenzae Supragenome Hybridization (SGH) Array for Transcriptomic Analyses
title_full_unstemmed Development and Validation of an Haemophilus influenzae Supragenome Hybridization (SGH) Array for Transcriptomic Analyses
title_short Development and Validation of an Haemophilus influenzae Supragenome Hybridization (SGH) Array for Transcriptomic Analyses
title_sort development and validation of an haemophilus influenzae supragenome hybridization (sgh) array for transcriptomic analyses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4188559/
https://www.ncbi.nlm.nih.gov/pubmed/25290153
http://dx.doi.org/10.1371/journal.pone.0105493
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