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Network and co-expression analysis of airway smooth muscle cell transcriptome delineates potential gene signatures in asthma

Airway smooth muscle (ASM) is known for its role in asthma exacerbations characterized by acute bronchoconstriction and remodeling. The molecular mechanisms underlying multiple gene interactions regulating gene expression in asthma remain elusive. Herein, we explored the regulatory relationship betw...

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Autores principales: Banerjee, Priyanka, Balraj, Premanand, Ambhore, Nilesh Sudhakar, Wicher, Sarah A., Britt, Rodney D., Pabelick, Christina M., Prakash, Y. S., Sathish, Venkatachalem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277837/
https://www.ncbi.nlm.nih.gov/pubmed/34257337
http://dx.doi.org/10.1038/s41598-021-93845-x
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author Banerjee, Priyanka
Balraj, Premanand
Ambhore, Nilesh Sudhakar
Wicher, Sarah A.
Britt, Rodney D.
Pabelick, Christina M.
Prakash, Y. S.
Sathish, Venkatachalem
author_facet Banerjee, Priyanka
Balraj, Premanand
Ambhore, Nilesh Sudhakar
Wicher, Sarah A.
Britt, Rodney D.
Pabelick, Christina M.
Prakash, Y. S.
Sathish, Venkatachalem
author_sort Banerjee, Priyanka
collection PubMed
description Airway smooth muscle (ASM) is known for its role in asthma exacerbations characterized by acute bronchoconstriction and remodeling. The molecular mechanisms underlying multiple gene interactions regulating gene expression in asthma remain elusive. Herein, we explored the regulatory relationship between ASM genes to uncover the putative mechanism underlying asthma in humans. To this end, the gene expression from human ASM was measured with RNA-Seq in non-asthmatic and asthmatic groups. The gene network for the asthmatic and non-asthmatic group was constructed by prioritizing differentially expressed genes (DEGs) (121) and transcription factors (TFs) (116). Furthermore, we identified differentially connected or co-expressed genes in each group. The asthmatic group showed a loss of gene connectivity due to the rewiring of major regulators. Notably, TFs such as ZNF792, SMAD1, and SMAD7 were differentially correlated in the asthmatic ASM. Additionally, the DEGs, TFs, and differentially connected genes over-represented in the pathways involved with herpes simplex virus infection, Hippo and TGF-β signaling, adherens junctions, gap junctions, and ferroptosis. The rewiring of major regulators unveiled in this study likely modulates the expression of gene-targets as an adaptive response to asthma. These multiple gene interactions pointed out novel targets and pathways for asthma exacerbations.
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spelling pubmed-82778372021-07-15 Network and co-expression analysis of airway smooth muscle cell transcriptome delineates potential gene signatures in asthma Banerjee, Priyanka Balraj, Premanand Ambhore, Nilesh Sudhakar Wicher, Sarah A. Britt, Rodney D. Pabelick, Christina M. Prakash, Y. S. Sathish, Venkatachalem Sci Rep Article Airway smooth muscle (ASM) is known for its role in asthma exacerbations characterized by acute bronchoconstriction and remodeling. The molecular mechanisms underlying multiple gene interactions regulating gene expression in asthma remain elusive. Herein, we explored the regulatory relationship between ASM genes to uncover the putative mechanism underlying asthma in humans. To this end, the gene expression from human ASM was measured with RNA-Seq in non-asthmatic and asthmatic groups. The gene network for the asthmatic and non-asthmatic group was constructed by prioritizing differentially expressed genes (DEGs) (121) and transcription factors (TFs) (116). Furthermore, we identified differentially connected or co-expressed genes in each group. The asthmatic group showed a loss of gene connectivity due to the rewiring of major regulators. Notably, TFs such as ZNF792, SMAD1, and SMAD7 were differentially correlated in the asthmatic ASM. Additionally, the DEGs, TFs, and differentially connected genes over-represented in the pathways involved with herpes simplex virus infection, Hippo and TGF-β signaling, adherens junctions, gap junctions, and ferroptosis. The rewiring of major regulators unveiled in this study likely modulates the expression of gene-targets as an adaptive response to asthma. These multiple gene interactions pointed out novel targets and pathways for asthma exacerbations. Nature Publishing Group UK 2021-07-13 /pmc/articles/PMC8277837/ /pubmed/34257337 http://dx.doi.org/10.1038/s41598-021-93845-x Text en © The Author(s) 2021 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
Banerjee, Priyanka
Balraj, Premanand
Ambhore, Nilesh Sudhakar
Wicher, Sarah A.
Britt, Rodney D.
Pabelick, Christina M.
Prakash, Y. S.
Sathish, Venkatachalem
Network and co-expression analysis of airway smooth muscle cell transcriptome delineates potential gene signatures in asthma
title Network and co-expression analysis of airway smooth muscle cell transcriptome delineates potential gene signatures in asthma
title_full Network and co-expression analysis of airway smooth muscle cell transcriptome delineates potential gene signatures in asthma
title_fullStr Network and co-expression analysis of airway smooth muscle cell transcriptome delineates potential gene signatures in asthma
title_full_unstemmed Network and co-expression analysis of airway smooth muscle cell transcriptome delineates potential gene signatures in asthma
title_short Network and co-expression analysis of airway smooth muscle cell transcriptome delineates potential gene signatures in asthma
title_sort network and co-expression analysis of airway smooth muscle cell transcriptome delineates potential gene signatures in asthma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277837/
https://www.ncbi.nlm.nih.gov/pubmed/34257337
http://dx.doi.org/10.1038/s41598-021-93845-x
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