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Integrative genetic and genomic networks identify microRNA associated with COPD and ILD

Chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD) are clinically and molecularly heterogeneous diseases. We utilized clustering and integrative network analyses to elucidate roles for microRNAs (miRNAs) and miRNA isoforms (isomiRs) in COPD and ILD pathogenesis. Short R...

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Autores principales: Pavel, Ana B., Garrison, Carly, Luo, Lingqi, Liu, Gang, Taub, Daniel, Xiao, Ji, Juan-Guardela, Brenda, Tedrow, John, Alekseyev, Yuriy O., Yang, Ivana V., Geraci, Mark W., Sciurba, Frank, Schwartz, David A., Kaminski, Naftali, Beane, Jennifer, Spira, Avrum, Lenburg, Marc E., Campbell, Joshua D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10421936/
https://www.ncbi.nlm.nih.gov/pubmed/37567908
http://dx.doi.org/10.1038/s41598-023-39751-w
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author Pavel, Ana B.
Garrison, Carly
Luo, Lingqi
Liu, Gang
Taub, Daniel
Xiao, Ji
Juan-Guardela, Brenda
Tedrow, John
Alekseyev, Yuriy O.
Yang, Ivana V.
Geraci, Mark W.
Sciurba, Frank
Schwartz, David A.
Kaminski, Naftali
Beane, Jennifer
Spira, Avrum
Lenburg, Marc E.
Campbell, Joshua D.
author_facet Pavel, Ana B.
Garrison, Carly
Luo, Lingqi
Liu, Gang
Taub, Daniel
Xiao, Ji
Juan-Guardela, Brenda
Tedrow, John
Alekseyev, Yuriy O.
Yang, Ivana V.
Geraci, Mark W.
Sciurba, Frank
Schwartz, David A.
Kaminski, Naftali
Beane, Jennifer
Spira, Avrum
Lenburg, Marc E.
Campbell, Joshua D.
author_sort Pavel, Ana B.
collection PubMed
description Chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD) are clinically and molecularly heterogeneous diseases. We utilized clustering and integrative network analyses to elucidate roles for microRNAs (miRNAs) and miRNA isoforms (isomiRs) in COPD and ILD pathogenesis. Short RNA sequencing was performed on 351 lung tissue samples of COPD (n = 145), ILD (n = 144) and controls (n = 64). Five distinct subclusters of samples were identified including 1 COPD-predominant cluster and 2 ILD-predominant clusters which associated with different clinical measurements of disease severity. Utilizing 262 samples with gene expression and SNP microarrays, we built disease-specific genetic and expression networks to predict key miRNA regulators of gene expression. Members of miR-449/34 family, known to promote airway differentiation by repressing the Notch pathway, were among the top connected miRNAs in both COPD and ILD networks. Genes associated with miR-449/34 members in the disease networks were enriched among genes that increase in expression with airway differentiation at an air–liquid interface. A highly expressed isomiR containing a novel seed sequence was identified at the miR-34c-5p locus. 47% of the anticorrelated predicted targets for this isomiR were distinct from the canonical seed sequence for miR-34c-5p. Overexpression of the canonical miR-34c-5p and the miR-34c-5p isomiR with an alternative seed sequence down-regulated NOTCH1 and NOTCH4. However, only overexpression of the isomiR down-regulated genes involved in Ras signaling such as CRKL and GRB2. Overall, these findings elucidate molecular heterogeneity inherent across COPD and ILD patients and further suggest roles for miR-34c in regulating disease-associated gene-expression.
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spelling pubmed-104219362023-08-13 Integrative genetic and genomic networks identify microRNA associated with COPD and ILD Pavel, Ana B. Garrison, Carly Luo, Lingqi Liu, Gang Taub, Daniel Xiao, Ji Juan-Guardela, Brenda Tedrow, John Alekseyev, Yuriy O. Yang, Ivana V. Geraci, Mark W. Sciurba, Frank Schwartz, David A. Kaminski, Naftali Beane, Jennifer Spira, Avrum Lenburg, Marc E. Campbell, Joshua D. Sci Rep Article Chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD) are clinically and molecularly heterogeneous diseases. We utilized clustering and integrative network analyses to elucidate roles for microRNAs (miRNAs) and miRNA isoforms (isomiRs) in COPD and ILD pathogenesis. Short RNA sequencing was performed on 351 lung tissue samples of COPD (n = 145), ILD (n = 144) and controls (n = 64). Five distinct subclusters of samples were identified including 1 COPD-predominant cluster and 2 ILD-predominant clusters which associated with different clinical measurements of disease severity. Utilizing 262 samples with gene expression and SNP microarrays, we built disease-specific genetic and expression networks to predict key miRNA regulators of gene expression. Members of miR-449/34 family, known to promote airway differentiation by repressing the Notch pathway, were among the top connected miRNAs in both COPD and ILD networks. Genes associated with miR-449/34 members in the disease networks were enriched among genes that increase in expression with airway differentiation at an air–liquid interface. A highly expressed isomiR containing a novel seed sequence was identified at the miR-34c-5p locus. 47% of the anticorrelated predicted targets for this isomiR were distinct from the canonical seed sequence for miR-34c-5p. Overexpression of the canonical miR-34c-5p and the miR-34c-5p isomiR with an alternative seed sequence down-regulated NOTCH1 and NOTCH4. However, only overexpression of the isomiR down-regulated genes involved in Ras signaling such as CRKL and GRB2. Overall, these findings elucidate molecular heterogeneity inherent across COPD and ILD patients and further suggest roles for miR-34c in regulating disease-associated gene-expression. Nature Publishing Group UK 2023-08-11 /pmc/articles/PMC10421936/ /pubmed/37567908 http://dx.doi.org/10.1038/s41598-023-39751-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Pavel, Ana B.
Garrison, Carly
Luo, Lingqi
Liu, Gang
Taub, Daniel
Xiao, Ji
Juan-Guardela, Brenda
Tedrow, John
Alekseyev, Yuriy O.
Yang, Ivana V.
Geraci, Mark W.
Sciurba, Frank
Schwartz, David A.
Kaminski, Naftali
Beane, Jennifer
Spira, Avrum
Lenburg, Marc E.
Campbell, Joshua D.
Integrative genetic and genomic networks identify microRNA associated with COPD and ILD
title Integrative genetic and genomic networks identify microRNA associated with COPD and ILD
title_full Integrative genetic and genomic networks identify microRNA associated with COPD and ILD
title_fullStr Integrative genetic and genomic networks identify microRNA associated with COPD and ILD
title_full_unstemmed Integrative genetic and genomic networks identify microRNA associated with COPD and ILD
title_short Integrative genetic and genomic networks identify microRNA associated with COPD and ILD
title_sort integrative genetic and genomic networks identify microrna associated with copd and ild
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10421936/
https://www.ncbi.nlm.nih.gov/pubmed/37567908
http://dx.doi.org/10.1038/s41598-023-39751-w
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