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Integrated analysis of mRNA and long noncoding RNA profiles in peripheral blood mononuclear cells of patients with bronchial asthma

BACKGROUND: Bronchial asthma is a heterogeneous disease with distinct disease phenotypes and underlying pathophysiological mechanisms. Long non-coding RNAs (lncRNAs) are involved in numerous functionally different biological and physiological processes. The aim of this study was to identify differen...

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Autores principales: Cui, Han, Duan, Ruirui, Niu, Hongtao, Yu, Tao, Huang, Ke, Chen, Chen, Hao, Ke, Yang, Ting, Wang, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9059365/
https://www.ncbi.nlm.nih.gov/pubmed/35501805
http://dx.doi.org/10.1186/s12890-022-01945-9
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author Cui, Han
Duan, Ruirui
Niu, Hongtao
Yu, Tao
Huang, Ke
Chen, Chen
Hao, Ke
Yang, Ting
Wang, Chen
author_facet Cui, Han
Duan, Ruirui
Niu, Hongtao
Yu, Tao
Huang, Ke
Chen, Chen
Hao, Ke
Yang, Ting
Wang, Chen
author_sort Cui, Han
collection PubMed
description BACKGROUND: Bronchial asthma is a heterogeneous disease with distinct disease phenotypes and underlying pathophysiological mechanisms. Long non-coding RNAs (lncRNAs) are involved in numerous functionally different biological and physiological processes. The aim of this study was to identify differentially expressed lncRNAs and mRNAs in patients with asthma and further explore the functions and interactions between lncRNAs and mRNAs. METHODS: Ten patients with asthma and 9 healthy controls were enrolled in this study. RNA was isolated from peripheral blood mononuclear cells. We performed microarray analysis to evaluate lncRNA and mRNA expression. The functions of the differentially expressed mRNAs were analyzed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses. A global signal transduction network was constructed to identify the core mRNAs. An lncRNA–mRNA network was constructed. Five mRNAs showing the greatest differences in expression levels or high degrees in the gene–gene functional interaction network, with their correlated lncRNAs, were validated by real-time quantitative polymerase chain reaction. RESULTS: We identified 2229 differentially expressed mRNAs and 1397 lncRNAs between the asthma and control groups. Kyoto Encyclopedia of Genes and Genomes pathway analysis identified many pathways associated with inflammation and cell survival. The gene–gene functional interaction network suggested that some core mRNAs are involved in the pathogenesis of bronchial asthma. The lncRNA–mRNA co-expression network revealed correlated lncRNAs. CXCL8, FOXO3, JUN, PIK3CA, and G0S2 and their related lncRNAs NONHSAT115963, AC019050.1, MTCYBP3, KB-67B5.12, and HNRNPA1P12 were identified according to their differential expression levels and high degrees in the gene–gene network. CONCLUSIONS: We identified the core mRNAs and their related lncRNAs and predicted the biological processes and signaling pathways involved in asthma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-022-01945-9.
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spelling pubmed-90593652022-05-03 Integrated analysis of mRNA and long noncoding RNA profiles in peripheral blood mononuclear cells of patients with bronchial asthma Cui, Han Duan, Ruirui Niu, Hongtao Yu, Tao Huang, Ke Chen, Chen Hao, Ke Yang, Ting Wang, Chen BMC Pulm Med Research BACKGROUND: Bronchial asthma is a heterogeneous disease with distinct disease phenotypes and underlying pathophysiological mechanisms. Long non-coding RNAs (lncRNAs) are involved in numerous functionally different biological and physiological processes. The aim of this study was to identify differentially expressed lncRNAs and mRNAs in patients with asthma and further explore the functions and interactions between lncRNAs and mRNAs. METHODS: Ten patients with asthma and 9 healthy controls were enrolled in this study. RNA was isolated from peripheral blood mononuclear cells. We performed microarray analysis to evaluate lncRNA and mRNA expression. The functions of the differentially expressed mRNAs were analyzed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses. A global signal transduction network was constructed to identify the core mRNAs. An lncRNA–mRNA network was constructed. Five mRNAs showing the greatest differences in expression levels or high degrees in the gene–gene functional interaction network, with their correlated lncRNAs, were validated by real-time quantitative polymerase chain reaction. RESULTS: We identified 2229 differentially expressed mRNAs and 1397 lncRNAs between the asthma and control groups. Kyoto Encyclopedia of Genes and Genomes pathway analysis identified many pathways associated with inflammation and cell survival. The gene–gene functional interaction network suggested that some core mRNAs are involved in the pathogenesis of bronchial asthma. The lncRNA–mRNA co-expression network revealed correlated lncRNAs. CXCL8, FOXO3, JUN, PIK3CA, and G0S2 and their related lncRNAs NONHSAT115963, AC019050.1, MTCYBP3, KB-67B5.12, and HNRNPA1P12 were identified according to their differential expression levels and high degrees in the gene–gene network. CONCLUSIONS: We identified the core mRNAs and their related lncRNAs and predicted the biological processes and signaling pathways involved in asthma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-022-01945-9. BioMed Central 2022-05-02 /pmc/articles/PMC9059365/ /pubmed/35501805 http://dx.doi.org/10.1186/s12890-022-01945-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Cui, Han
Duan, Ruirui
Niu, Hongtao
Yu, Tao
Huang, Ke
Chen, Chen
Hao, Ke
Yang, Ting
Wang, Chen
Integrated analysis of mRNA and long noncoding RNA profiles in peripheral blood mononuclear cells of patients with bronchial asthma
title Integrated analysis of mRNA and long noncoding RNA profiles in peripheral blood mononuclear cells of patients with bronchial asthma
title_full Integrated analysis of mRNA and long noncoding RNA profiles in peripheral blood mononuclear cells of patients with bronchial asthma
title_fullStr Integrated analysis of mRNA and long noncoding RNA profiles in peripheral blood mononuclear cells of patients with bronchial asthma
title_full_unstemmed Integrated analysis of mRNA and long noncoding RNA profiles in peripheral blood mononuclear cells of patients with bronchial asthma
title_short Integrated analysis of mRNA and long noncoding RNA profiles in peripheral blood mononuclear cells of patients with bronchial asthma
title_sort integrated analysis of mrna and long noncoding rna profiles in peripheral blood mononuclear cells of patients with bronchial asthma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9059365/
https://www.ncbi.nlm.nih.gov/pubmed/35501805
http://dx.doi.org/10.1186/s12890-022-01945-9
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