Cargando…

Gene expression profiles and bioinformatics analysis in lung samples from ovalbumin-induced asthmatic mice

BACKGROUND: Asthma is characterized by chronic inflammation and airway remodeling. However, limited study is conducted on the gene expression profiles of ovalbumin (OVA) induced asthma in mice. Here, we explored the gene expression profiles in lung tissues from mice with OVA-induced asthma using mic...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Yilan, Jiang, Jingzhi, Bai, Qiaoyun, Liu, Siqi, Zhang, Yalin, Xu, Chang, Piao, Hongmei, Li, Liangchang, Yan, Guanghai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893693/
https://www.ncbi.nlm.nih.gov/pubmed/36726128
http://dx.doi.org/10.1186/s12890-023-02306-w
_version_ 1784881580976635904
author Song, Yilan
Jiang, Jingzhi
Bai, Qiaoyun
Liu, Siqi
Zhang, Yalin
Xu, Chang
Piao, Hongmei
Li, Liangchang
Yan, Guanghai
author_facet Song, Yilan
Jiang, Jingzhi
Bai, Qiaoyun
Liu, Siqi
Zhang, Yalin
Xu, Chang
Piao, Hongmei
Li, Liangchang
Yan, Guanghai
author_sort Song, Yilan
collection PubMed
description BACKGROUND: Asthma is characterized by chronic inflammation and airway remodeling. However, limited study is conducted on the gene expression profiles of ovalbumin (OVA) induced asthma in mice. Here, we explored the gene expression profiles in lung tissues from mice with OVA-induced asthma using microarray and bioinformatics analysis. METHODS: For establishment of OVA-induced asthma model, mice first received intraperitoneal sensitization with OVA on day 0, 7 and 14, followed by atomizing inhalation of OVA 3 times a week for 8 weeks. The lung tissues were collected and subjected to microarray analysis, bioinformatics analysis and expression validation. RESULTS: Microarray data of lung tissues suggested that 3754 lncRNAs and 2976 mRNAs were differentially expressed in lung tissues between control and asthmatic mice, including 1647 up-regulated and 2106 down-regulated lncRNAs, and 1201 up-regulated and 1766 down-regulated mRNAs. GO analysis displayed that the up-regulated genes were enriched in inflammatory response, leukocyte migration involved in inflammatory response, and Notch signaling pathway. KEGG pathway analysis indicated that the enriched pathway terms of the up-regulated gene included Toll-like receptor signaling pathway and Th17 cell differentiation signaling pathway. Additionally, based on the previously published literatures on asthma and inflammation, we screened out down-regulated genes, such as Smg7, Sumo2, and Stat5a, and up-regulated genes, such as Myl9, Fos and Tlr4. According to the mRNA-lncRNA co-expression network, we selected lncRNAs associated with above genes, including the down-regulated lncRNAs of NONMMUT032848, NONMMUT008873, NONMMUT009478, and NONMMUT006807, and the up-regulated lncRNAs of NONMMUT052633, NONMMUT05340 and NONMMUT042325. The expression changes of the above genes were validated in lung tissues by real-time quantitaive PCR and Western blot. CONCLUSIONS: Overall, we performed gene microarray on lung samples from OVA-induced asthmatic mice and summarized core mRNAs and their related lncRNAs. This study may provide evidence for further research on the therapeutic targets of asthma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-023-02306-w.
format Online
Article
Text
id pubmed-9893693
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-98936932023-02-03 Gene expression profiles and bioinformatics analysis in lung samples from ovalbumin-induced asthmatic mice Song, Yilan Jiang, Jingzhi Bai, Qiaoyun Liu, Siqi Zhang, Yalin Xu, Chang Piao, Hongmei Li, Liangchang Yan, Guanghai BMC Pulm Med Research BACKGROUND: Asthma is characterized by chronic inflammation and airway remodeling. However, limited study is conducted on the gene expression profiles of ovalbumin (OVA) induced asthma in mice. Here, we explored the gene expression profiles in lung tissues from mice with OVA-induced asthma using microarray and bioinformatics analysis. METHODS: For establishment of OVA-induced asthma model, mice first received intraperitoneal sensitization with OVA on day 0, 7 and 14, followed by atomizing inhalation of OVA 3 times a week for 8 weeks. The lung tissues were collected and subjected to microarray analysis, bioinformatics analysis and expression validation. RESULTS: Microarray data of lung tissues suggested that 3754 lncRNAs and 2976 mRNAs were differentially expressed in lung tissues between control and asthmatic mice, including 1647 up-regulated and 2106 down-regulated lncRNAs, and 1201 up-regulated and 1766 down-regulated mRNAs. GO analysis displayed that the up-regulated genes were enriched in inflammatory response, leukocyte migration involved in inflammatory response, and Notch signaling pathway. KEGG pathway analysis indicated that the enriched pathway terms of the up-regulated gene included Toll-like receptor signaling pathway and Th17 cell differentiation signaling pathway. Additionally, based on the previously published literatures on asthma and inflammation, we screened out down-regulated genes, such as Smg7, Sumo2, and Stat5a, and up-regulated genes, such as Myl9, Fos and Tlr4. According to the mRNA-lncRNA co-expression network, we selected lncRNAs associated with above genes, including the down-regulated lncRNAs of NONMMUT032848, NONMMUT008873, NONMMUT009478, and NONMMUT006807, and the up-regulated lncRNAs of NONMMUT052633, NONMMUT05340 and NONMMUT042325. The expression changes of the above genes were validated in lung tissues by real-time quantitaive PCR and Western blot. CONCLUSIONS: Overall, we performed gene microarray on lung samples from OVA-induced asthmatic mice and summarized core mRNAs and their related lncRNAs. This study may provide evidence for further research on the therapeutic targets of asthma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-023-02306-w. BioMed Central 2023-02-02 /pmc/articles/PMC9893693/ /pubmed/36726128 http://dx.doi.org/10.1186/s12890-023-02306-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . 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
Song, Yilan
Jiang, Jingzhi
Bai, Qiaoyun
Liu, Siqi
Zhang, Yalin
Xu, Chang
Piao, Hongmei
Li, Liangchang
Yan, Guanghai
Gene expression profiles and bioinformatics analysis in lung samples from ovalbumin-induced asthmatic mice
title Gene expression profiles and bioinformatics analysis in lung samples from ovalbumin-induced asthmatic mice
title_full Gene expression profiles and bioinformatics analysis in lung samples from ovalbumin-induced asthmatic mice
title_fullStr Gene expression profiles and bioinformatics analysis in lung samples from ovalbumin-induced asthmatic mice
title_full_unstemmed Gene expression profiles and bioinformatics analysis in lung samples from ovalbumin-induced asthmatic mice
title_short Gene expression profiles and bioinformatics analysis in lung samples from ovalbumin-induced asthmatic mice
title_sort gene expression profiles and bioinformatics analysis in lung samples from ovalbumin-induced asthmatic mice
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893693/
https://www.ncbi.nlm.nih.gov/pubmed/36726128
http://dx.doi.org/10.1186/s12890-023-02306-w
work_keys_str_mv AT songyilan geneexpressionprofilesandbioinformaticsanalysisinlungsamplesfromovalbumininducedasthmaticmice
AT jiangjingzhi geneexpressionprofilesandbioinformaticsanalysisinlungsamplesfromovalbumininducedasthmaticmice
AT baiqiaoyun geneexpressionprofilesandbioinformaticsanalysisinlungsamplesfromovalbumininducedasthmaticmice
AT liusiqi geneexpressionprofilesandbioinformaticsanalysisinlungsamplesfromovalbumininducedasthmaticmice
AT zhangyalin geneexpressionprofilesandbioinformaticsanalysisinlungsamplesfromovalbumininducedasthmaticmice
AT xuchang geneexpressionprofilesandbioinformaticsanalysisinlungsamplesfromovalbumininducedasthmaticmice
AT piaohongmei geneexpressionprofilesandbioinformaticsanalysisinlungsamplesfromovalbumininducedasthmaticmice
AT liliangchang geneexpressionprofilesandbioinformaticsanalysisinlungsamplesfromovalbumininducedasthmaticmice
AT yanguanghai geneexpressionprofilesandbioinformaticsanalysisinlungsamplesfromovalbumininducedasthmaticmice