Identification of miRNAs Potentially Involved in Bronchiolitis Obliterans Syndrome: A Computational Study.
The pathogenesis of Bronchiolitis Obliterans Syndrome (BOS), the main clinical phenotype of chronic lung allograft dysfunction, is poorly understood. Recent studies suggest that epigenetic regulation of microRNAs might play a role in its development. In this paper we present the application of a com...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2016-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5001701?pdf=render |
| _version_ | 1818676344274288640 |
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| author | Stefano Di Carlo Elena Rossi Gianfranco Politano Simona Inghilleri Patrizia Morbini Fiorella Calabrese Alfredo Benso Alessandro Savino Emanuela Cova Davide Zampieri Federica Meloni |
| author_facet | Stefano Di Carlo Elena Rossi Gianfranco Politano Simona Inghilleri Patrizia Morbini Fiorella Calabrese Alfredo Benso Alessandro Savino Emanuela Cova Davide Zampieri Federica Meloni |
| author_sort | Stefano Di Carlo |
| collection | DOAJ |
| description | The pathogenesis of Bronchiolitis Obliterans Syndrome (BOS), the main clinical phenotype of chronic lung allograft dysfunction, is poorly understood. Recent studies suggest that epigenetic regulation of microRNAs might play a role in its development. In this paper we present the application of a complex computational pipeline to perform enrichment analysis of miRNAs in pathways applied to the study of BOS. The analysis considered the full set of miRNAs annotated in miRBase (version 21), and applied a sequence of filtering approaches and statistical analyses to reduce this set and to score the candidate miRNAs according to their potential involvement in BOS development. Dysregulation of two of the selected candidate miRNAs-miR-34a and miR-21 -was clearly shown in in-situ hybridization (ISH) on five explanted human BOS lungs and on a rat model of acute and chronic lung rejection, thus definitely identifying miR-34a and miR-21 as pathogenic factors in BOS and confirming the effectiveness of the computational pipeline. |
| first_indexed | 2024-12-17T08:41:59Z |
| format | Article |
| id | doaj.art-4edfe408556c4b8ebeae4442e18483d7 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-17T08:41:59Z |
| publishDate | 2016-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-4edfe408556c4b8ebeae4442e18483d72022-12-21T21:56:19ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01118e016177110.1371/journal.pone.0161771Identification of miRNAs Potentially Involved in Bronchiolitis Obliterans Syndrome: A Computational Study.Stefano Di CarloElena RossiGianfranco PolitanoSimona InghilleriPatrizia MorbiniFiorella CalabreseAlfredo BensoAlessandro SavinoEmanuela CovaDavide ZampieriFederica MeloniThe pathogenesis of Bronchiolitis Obliterans Syndrome (BOS), the main clinical phenotype of chronic lung allograft dysfunction, is poorly understood. Recent studies suggest that epigenetic regulation of microRNAs might play a role in its development. In this paper we present the application of a complex computational pipeline to perform enrichment analysis of miRNAs in pathways applied to the study of BOS. The analysis considered the full set of miRNAs annotated in miRBase (version 21), and applied a sequence of filtering approaches and statistical analyses to reduce this set and to score the candidate miRNAs according to their potential involvement in BOS development. Dysregulation of two of the selected candidate miRNAs-miR-34a and miR-21 -was clearly shown in in-situ hybridization (ISH) on five explanted human BOS lungs and on a rat model of acute and chronic lung rejection, thus definitely identifying miR-34a and miR-21 as pathogenic factors in BOS and confirming the effectiveness of the computational pipeline.http://europepmc.org/articles/PMC5001701?pdf=render |
| spellingShingle | Stefano Di Carlo Elena Rossi Gianfranco Politano Simona Inghilleri Patrizia Morbini Fiorella Calabrese Alfredo Benso Alessandro Savino Emanuela Cova Davide Zampieri Federica Meloni Identification of miRNAs Potentially Involved in Bronchiolitis Obliterans Syndrome: A Computational Study. PLoS ONE |
| title | Identification of miRNAs Potentially Involved in Bronchiolitis Obliterans Syndrome: A Computational Study. |
| title_full | Identification of miRNAs Potentially Involved in Bronchiolitis Obliterans Syndrome: A Computational Study. |
| title_fullStr | Identification of miRNAs Potentially Involved in Bronchiolitis Obliterans Syndrome: A Computational Study. |
| title_full_unstemmed | Identification of miRNAs Potentially Involved in Bronchiolitis Obliterans Syndrome: A Computational Study. |
| title_short | Identification of miRNAs Potentially Involved in Bronchiolitis Obliterans Syndrome: A Computational Study. |
| title_sort | identification of mirnas potentially involved in bronchiolitis obliterans syndrome a computational study |
| url | http://europepmc.org/articles/PMC5001701?pdf=render |
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