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Identification of microRNAs associated with allergic airway disease using a genetically diverse mouse population

BACKGROUND: Allergic airway diseases (AADs) such as asthma are characterized in part by granulocytic airway inflammation. The gene regulatory networks that govern granulocyte recruitment are poorly understood, but evidence is accruing that microRNAs (miRNAs) play an important role. To identify miRNA...

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Autores principales: Rutledge, Holly, Baran-Gale, Jeanette, de Villena, Fernando Pardo-Manuel, Chesler, Elissa J., Churchill, Gary A., Sethupathy, Praveen, Kelada, Samir N. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548451/
https://www.ncbi.nlm.nih.gov/pubmed/26303911
http://dx.doi.org/10.1186/s12864-015-1732-9
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author Rutledge, Holly
Baran-Gale, Jeanette
de Villena, Fernando Pardo-Manuel
Chesler, Elissa J.
Churchill, Gary A.
Sethupathy, Praveen
Kelada, Samir N. P.
author_facet Rutledge, Holly
Baran-Gale, Jeanette
de Villena, Fernando Pardo-Manuel
Chesler, Elissa J.
Churchill, Gary A.
Sethupathy, Praveen
Kelada, Samir N. P.
author_sort Rutledge, Holly
collection PubMed
description BACKGROUND: Allergic airway diseases (AADs) such as asthma are characterized in part by granulocytic airway inflammation. The gene regulatory networks that govern granulocyte recruitment are poorly understood, but evidence is accruing that microRNAs (miRNAs) play an important role. To identify miRNAs that may underlie AADs, we used two complementary approaches that leveraged the genotypic and phenotypic diversity of the Collaborative Cross (CC) mouse population. In the first approach, we sought to identify miRNA expression quantitative trait loci (eQTL) that overlap QTL for AAD-related phenotypes. Specifically, CC founder strains and incipient lines of the CC were sensitized and challenged with house dust mite allergen followed by measurement of granulocyte recruitment to the lung. Total lung RNA was isolated and miRNA was measured using arrays for CC founders and qRT-PCR for incipient CC lines. RESULTS: Among CC founders, 92 miRNAs were differentially expressed. We measured the expression of 40 of the most highly expressed of these 92 miRNAs in the incipient lines of the CC and identified 18 eQTL corresponding to 14 different miRNAs. Surprisingly, half of these eQTL were distal to the corresponding miRNAs, and even on different chromosomes. One of the largest-effect local miRNA eQTL was for miR-342-3p, for which we identified putative causal variants by bioinformatic analysis of the effects of single nucleotide polymorphisms on RNA structure. None of the miRNA eQTL co-localized with QTL for eosinophil or neutrophil recruitment. In the second approach, we constructed putative miRNA/mRNA regulatory networks and identified three miRNAs (miR-497, miR-351 and miR-31) as candidate master regulators of genes associated with neutrophil recruitment. Analysis of a dataset from human keratinocytes transfected with a miR-31 inhibitor revealed two target genes in common with miR-31 targets correlated with neutrophils, namely Oxsr1 and Nsf. CONCLUSIONS: miRNA expression in the allergically inflamed murine lung is regulated by genetic loci that are smaller in effect size compared to mRNA eQTL and often act in trans. Thus our results indicate that the genetic architecture of miRNA expression is different from mRNA expression. We identified three miRNAs, miR-497, miR-351 and miR-31, that are candidate master regulators of genes associated with neutrophil recruitment. Because miR-31 is expressed in airway epithelia and is predicted to target genes with known links to neutrophilic inflammation, we suggest that miR-31 is a potentially novel regulator of airway inflammation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1732-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-45484512015-08-26 Identification of microRNAs associated with allergic airway disease using a genetically diverse mouse population Rutledge, Holly Baran-Gale, Jeanette de Villena, Fernando Pardo-Manuel Chesler, Elissa J. Churchill, Gary A. Sethupathy, Praveen Kelada, Samir N. P. BMC Genomics Research Article BACKGROUND: Allergic airway diseases (AADs) such as asthma are characterized in part by granulocytic airway inflammation. The gene regulatory networks that govern granulocyte recruitment are poorly understood, but evidence is accruing that microRNAs (miRNAs) play an important role. To identify miRNAs that may underlie AADs, we used two complementary approaches that leveraged the genotypic and phenotypic diversity of the Collaborative Cross (CC) mouse population. In the first approach, we sought to identify miRNA expression quantitative trait loci (eQTL) that overlap QTL for AAD-related phenotypes. Specifically, CC founder strains and incipient lines of the CC were sensitized and challenged with house dust mite allergen followed by measurement of granulocyte recruitment to the lung. Total lung RNA was isolated and miRNA was measured using arrays for CC founders and qRT-PCR for incipient CC lines. RESULTS: Among CC founders, 92 miRNAs were differentially expressed. We measured the expression of 40 of the most highly expressed of these 92 miRNAs in the incipient lines of the CC and identified 18 eQTL corresponding to 14 different miRNAs. Surprisingly, half of these eQTL were distal to the corresponding miRNAs, and even on different chromosomes. One of the largest-effect local miRNA eQTL was for miR-342-3p, for which we identified putative causal variants by bioinformatic analysis of the effects of single nucleotide polymorphisms on RNA structure. None of the miRNA eQTL co-localized with QTL for eosinophil or neutrophil recruitment. In the second approach, we constructed putative miRNA/mRNA regulatory networks and identified three miRNAs (miR-497, miR-351 and miR-31) as candidate master regulators of genes associated with neutrophil recruitment. Analysis of a dataset from human keratinocytes transfected with a miR-31 inhibitor revealed two target genes in common with miR-31 targets correlated with neutrophils, namely Oxsr1 and Nsf. CONCLUSIONS: miRNA expression in the allergically inflamed murine lung is regulated by genetic loci that are smaller in effect size compared to mRNA eQTL and often act in trans. Thus our results indicate that the genetic architecture of miRNA expression is different from mRNA expression. We identified three miRNAs, miR-497, miR-351 and miR-31, that are candidate master regulators of genes associated with neutrophil recruitment. Because miR-31 is expressed in airway epithelia and is predicted to target genes with known links to neutrophilic inflammation, we suggest that miR-31 is a potentially novel regulator of airway inflammation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1732-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-08-25 /pmc/articles/PMC4548451/ /pubmed/26303911 http://dx.doi.org/10.1186/s12864-015-1732-9 Text en © Rutledge et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Rutledge, Holly
Baran-Gale, Jeanette
de Villena, Fernando Pardo-Manuel
Chesler, Elissa J.
Churchill, Gary A.
Sethupathy, Praveen
Kelada, Samir N. P.
Identification of microRNAs associated with allergic airway disease using a genetically diverse mouse population
title Identification of microRNAs associated with allergic airway disease using a genetically diverse mouse population
title_full Identification of microRNAs associated with allergic airway disease using a genetically diverse mouse population
title_fullStr Identification of microRNAs associated with allergic airway disease using a genetically diverse mouse population
title_full_unstemmed Identification of microRNAs associated with allergic airway disease using a genetically diverse mouse population
title_short Identification of microRNAs associated with allergic airway disease using a genetically diverse mouse population
title_sort identification of micrornas associated with allergic airway disease using a genetically diverse mouse population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548451/
https://www.ncbi.nlm.nih.gov/pubmed/26303911
http://dx.doi.org/10.1186/s12864-015-1732-9
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