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Transcriptomic analysis delineates potential signature genes and miRNAs associated with the pathogenesis of asthma

Asthma is a multifarious disease affecting several million people around the world. It has a heterogeneous risk architecture inclusive of both genetic and environmental factors. This heterogeneity can be utilised to identify differentially expressed biomarkers of the disease, which may ultimately ai...

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Autores principales: Singh, Prithvi, Sharma, Archana, Jha, Rishabh, Arora, Shweta, Ahmad, Rafiq, Rahmani, Arshad Husain, Almatroodi, Saleh A., Dohare, Ravins, Syed, Mansoor Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414199/
https://www.ncbi.nlm.nih.gov/pubmed/32770056
http://dx.doi.org/10.1038/s41598-020-70368-5
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author Singh, Prithvi
Sharma, Archana
Jha, Rishabh
Arora, Shweta
Ahmad, Rafiq
Rahmani, Arshad Husain
Almatroodi, Saleh A.
Dohare, Ravins
Syed, Mansoor Ali
author_facet Singh, Prithvi
Sharma, Archana
Jha, Rishabh
Arora, Shweta
Ahmad, Rafiq
Rahmani, Arshad Husain
Almatroodi, Saleh A.
Dohare, Ravins
Syed, Mansoor Ali
author_sort Singh, Prithvi
collection PubMed
description Asthma is a multifarious disease affecting several million people around the world. It has a heterogeneous risk architecture inclusive of both genetic and environmental factors. This heterogeneity can be utilised to identify differentially expressed biomarkers of the disease, which may ultimately aid in the development of more localized and molecularly targeted therapies. In this respect, our study complies with meta-analysis of microarray datasets containing mRNA expression profiles of both asthmatic and control patients, to identify the critical Differentially Expressed Genes (DEGs) involved in the pathogenesis of asthma. We found a total of 30 DEGs out of which 13 were involved in the pathway and functional enrichment analysis. Moreover, 5 DEGs were identified as the hub genes by network centrality-based analysis. Most hub genes were involved in protease/antiprotease pathways. Also, 26 miRNAs and 20 TFs having an association with these hub genes were found to be intricated in a 3-node miRNA Feed-Forward Loop. Out of these, miR-34b and miR-449c were identified as the key miRNAs regulating the expression of SERPINB2 gene and SMAD4 transcription factor. Thus, our study is suggestive of certain miRNAs and unexplored pathways which may pave a way to unravel critical therapeutic targets in asthma.
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spelling pubmed-74141992020-08-11 Transcriptomic analysis delineates potential signature genes and miRNAs associated with the pathogenesis of asthma Singh, Prithvi Sharma, Archana Jha, Rishabh Arora, Shweta Ahmad, Rafiq Rahmani, Arshad Husain Almatroodi, Saleh A. Dohare, Ravins Syed, Mansoor Ali Sci Rep Article Asthma is a multifarious disease affecting several million people around the world. It has a heterogeneous risk architecture inclusive of both genetic and environmental factors. This heterogeneity can be utilised to identify differentially expressed biomarkers of the disease, which may ultimately aid in the development of more localized and molecularly targeted therapies. In this respect, our study complies with meta-analysis of microarray datasets containing mRNA expression profiles of both asthmatic and control patients, to identify the critical Differentially Expressed Genes (DEGs) involved in the pathogenesis of asthma. We found a total of 30 DEGs out of which 13 were involved in the pathway and functional enrichment analysis. Moreover, 5 DEGs were identified as the hub genes by network centrality-based analysis. Most hub genes were involved in protease/antiprotease pathways. Also, 26 miRNAs and 20 TFs having an association with these hub genes were found to be intricated in a 3-node miRNA Feed-Forward Loop. Out of these, miR-34b and miR-449c were identified as the key miRNAs regulating the expression of SERPINB2 gene and SMAD4 transcription factor. Thus, our study is suggestive of certain miRNAs and unexplored pathways which may pave a way to unravel critical therapeutic targets in asthma. Nature Publishing Group UK 2020-08-07 /pmc/articles/PMC7414199/ /pubmed/32770056 http://dx.doi.org/10.1038/s41598-020-70368-5 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Singh, Prithvi
Sharma, Archana
Jha, Rishabh
Arora, Shweta
Ahmad, Rafiq
Rahmani, Arshad Husain
Almatroodi, Saleh A.
Dohare, Ravins
Syed, Mansoor Ali
Transcriptomic analysis delineates potential signature genes and miRNAs associated with the pathogenesis of asthma
title Transcriptomic analysis delineates potential signature genes and miRNAs associated with the pathogenesis of asthma
title_full Transcriptomic analysis delineates potential signature genes and miRNAs associated with the pathogenesis of asthma
title_fullStr Transcriptomic analysis delineates potential signature genes and miRNAs associated with the pathogenesis of asthma
title_full_unstemmed Transcriptomic analysis delineates potential signature genes and miRNAs associated with the pathogenesis of asthma
title_short Transcriptomic analysis delineates potential signature genes and miRNAs associated with the pathogenesis of asthma
title_sort transcriptomic analysis delineates potential signature genes and mirnas associated with the pathogenesis of asthma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414199/
https://www.ncbi.nlm.nih.gov/pubmed/32770056
http://dx.doi.org/10.1038/s41598-020-70368-5
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