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Construction of asthma related competing endogenous RNA network revealed novel long non-coding RNAs and potential new drugs
BACKGROUND: Asthma is a heterogeneous disease characterized by chronic airway inflammation. Long non-coding RNA can act as competing endogenous RNA to mRNA, and play significant role in many diseases. However, there is little known about the profiles of long non-coding RNA and the long non-coding RN...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954528/ https://www.ncbi.nlm.nih.gov/pubmed/31924195 http://dx.doi.org/10.1186/s12931-019-1257-x |
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author | Liao, Yifang Li, Ping Wang, Yanxia Chen, Hong Ning, Shangwei Su, Dongju |
author_facet | Liao, Yifang Li, Ping Wang, Yanxia Chen, Hong Ning, Shangwei Su, Dongju |
author_sort | Liao, Yifang |
collection | PubMed |
description | BACKGROUND: Asthma is a heterogeneous disease characterized by chronic airway inflammation. Long non-coding RNA can act as competing endogenous RNA to mRNA, and play significant role in many diseases. However, there is little known about the profiles of long non-coding RNA and the long non-coding RNA related competing endogenous RNA network in asthma. In current study, we aimed to explore the long non-coding RNA-microRNA-mRNA competing endogenous RNA network in asthma and their potential implications for therapy and prognosis. METHODS: Asthma-related gene expression profiles were downloaded from the Gene Expression Omnibus database, re-annotated with these genes and identified for asthma-associated differentially expressed mRNAs and long non-coding RNAs. The long non-coding RNA-miRNA interaction data and mRNA-miRNA interaction data were downloaded using the starBase database to construct a long non-coding RNA-miRNA-mRNA global competing endogenous RNA network and extract asthma-related differentially expressed competing endogenous RNA network. Finally, functional enrichment analysis and drug repositioning of asthma-associated differentially expressed competing endogenous RNA networks were performed to further identify key long non-coding RNAs and potential therapeutics associated with asthma. RESULTS: This study constructed an asthma-associated competing endogenous RNA network, determined 5 key long non-coding RNAs (MALAT1, MIR17HG, CASC2, MAGI2-AS3, DAPK1-IT1) and identified 8 potential new drugs (Tamoxifen, Ruxolitinib, Tretinoin, Quercetin, Dasatinib, Levocarnitine, Niflumic Acid, Glyburide). CONCLUSIONS: The results suggested that long non-coding RNA played an important role in asthma, and these novel long non-coding RNAs could be potential therapeutic target and prognostic biomarkers. At the same time, potential new drugs for asthma treatment have been discovered through drug repositioning techniques, providing a new direction for the treatment of asthma. |
format | Online Article Text |
id | pubmed-6954528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69545282020-01-14 Construction of asthma related competing endogenous RNA network revealed novel long non-coding RNAs and potential new drugs Liao, Yifang Li, Ping Wang, Yanxia Chen, Hong Ning, Shangwei Su, Dongju Respir Res Research BACKGROUND: Asthma is a heterogeneous disease characterized by chronic airway inflammation. Long non-coding RNA can act as competing endogenous RNA to mRNA, and play significant role in many diseases. However, there is little known about the profiles of long non-coding RNA and the long non-coding RNA related competing endogenous RNA network in asthma. In current study, we aimed to explore the long non-coding RNA-microRNA-mRNA competing endogenous RNA network in asthma and their potential implications for therapy and prognosis. METHODS: Asthma-related gene expression profiles were downloaded from the Gene Expression Omnibus database, re-annotated with these genes and identified for asthma-associated differentially expressed mRNAs and long non-coding RNAs. The long non-coding RNA-miRNA interaction data and mRNA-miRNA interaction data were downloaded using the starBase database to construct a long non-coding RNA-miRNA-mRNA global competing endogenous RNA network and extract asthma-related differentially expressed competing endogenous RNA network. Finally, functional enrichment analysis and drug repositioning of asthma-associated differentially expressed competing endogenous RNA networks were performed to further identify key long non-coding RNAs and potential therapeutics associated with asthma. RESULTS: This study constructed an asthma-associated competing endogenous RNA network, determined 5 key long non-coding RNAs (MALAT1, MIR17HG, CASC2, MAGI2-AS3, DAPK1-IT1) and identified 8 potential new drugs (Tamoxifen, Ruxolitinib, Tretinoin, Quercetin, Dasatinib, Levocarnitine, Niflumic Acid, Glyburide). CONCLUSIONS: The results suggested that long non-coding RNA played an important role in asthma, and these novel long non-coding RNAs could be potential therapeutic target and prognostic biomarkers. At the same time, potential new drugs for asthma treatment have been discovered through drug repositioning techniques, providing a new direction for the treatment of asthma. BioMed Central 2020-01-10 2020 /pmc/articles/PMC6954528/ /pubmed/31924195 http://dx.doi.org/10.1186/s12931-019-1257-x Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Liao, Yifang Li, Ping Wang, Yanxia Chen, Hong Ning, Shangwei Su, Dongju Construction of asthma related competing endogenous RNA network revealed novel long non-coding RNAs and potential new drugs |
title | Construction of asthma related competing endogenous RNA network revealed novel long non-coding RNAs and potential new drugs |
title_full | Construction of asthma related competing endogenous RNA network revealed novel long non-coding RNAs and potential new drugs |
title_fullStr | Construction of asthma related competing endogenous RNA network revealed novel long non-coding RNAs and potential new drugs |
title_full_unstemmed | Construction of asthma related competing endogenous RNA network revealed novel long non-coding RNAs and potential new drugs |
title_short | Construction of asthma related competing endogenous RNA network revealed novel long non-coding RNAs and potential new drugs |
title_sort | construction of asthma related competing endogenous rna network revealed novel long non-coding rnas and potential new drugs |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954528/ https://www.ncbi.nlm.nih.gov/pubmed/31924195 http://dx.doi.org/10.1186/s12931-019-1257-x |
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