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Construction of chronic glomerulonephritis‑related lncRNA‑mRNA regulatory network and lncRNA‑­miRNA‑mRNA ceRNA network by bioinformatics analysis

Long non-coding RNAs (lncRNAs) are ncRNA transcripts >200 nucleotides that are important genetic regulators. LncRNAs can directly regulate mRNA through a lncRNA-mRNA regulatory mode and can also regulate mRNA through competitive binding to micro (mi)RNA, which is generally known as the competitiv...

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Autores principales: Zhuang, Xing-Xing, Liu, Tao, Wei, Liang-Bing, Gao, Jia-Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375445/
https://www.ncbi.nlm.nih.gov/pubmed/37522060
http://dx.doi.org/10.3892/etm.2023.12102
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author Zhuang, Xing-Xing
Liu, Tao
Wei, Liang-Bing
Gao, Jia-Rong
author_facet Zhuang, Xing-Xing
Liu, Tao
Wei, Liang-Bing
Gao, Jia-Rong
author_sort Zhuang, Xing-Xing
collection PubMed
description Long non-coding RNAs (lncRNAs) are ncRNA transcripts >200 nucleotides that are important genetic regulators. LncRNAs can directly regulate mRNA through a lncRNA-mRNA regulatory mode and can also regulate mRNA through competitive binding to micro (mi)RNA, which is generally known as the competitive endogenous RNA (ceRNA) network. The present study evaluated the functional roles and regulatory networks of lncRNAs in chronic glomerulonephritis (CGN). The proliferative ability of mouse glomerular mesangial cells (GMCs) induced by different concentrations of lipopolysaccharide (LPS) was assessed using the Cell Counting Kit-8 assay, and RNA sequencing (RNA-seq) was performed to identify differentially expressed lncRNAs in LPS-induced GMCs. Based on the sequencing results, six lncRNAs were selected for validation using reverse transcription-quantitative PCR (RT-qPCR). Furthermore, the lncRNA-mRNA regulatory network and the lncRNA-miRNA-mRNA ceRNA network were constructed to assess the role and mechanism of CGN-related lncRNAs. To elucidate the biological functions of lncRNAs, Gene Ontology (GO) biological process term enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on all mRNAs involved in the lncRNA-mRNA regulatory network and in the ceRNA network. A total of 1,532 differentially expressed lncRNAs, including 594 upregulated lncRNAs and 938 downregulated lncRNAs, were identified using RNA-seq. The results of RT-qPCR validation were consistent with RNA-seq results. An lncRNA-mRNA regulatory network, including 236 lncRNAs and 556 mRNAs, and a ceRNA network, including 6 lncRNAs, 18 miRNAs and 419 mRNAs, were successfully constructed. The GO biological process term enrichment and KEGG pathway enrichment analyses demonstrated that those lncRNAs were often related to inflammatory response and substance metabolism. The present study identified key CGN-related lncRNAs in LPS-induced GMCs, and further demonstrated a global view of the lncRNA-mRNA regulatory network and ceRNA network involved in CGN. These results offered novel insights into the roles of lncRNAs in the pathogenesis of CGN and identified potential diagnostic biomarkers.
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spelling pubmed-103754452023-07-29 Construction of chronic glomerulonephritis‑related lncRNA‑mRNA regulatory network and lncRNA‑­miRNA‑mRNA ceRNA network by bioinformatics analysis Zhuang, Xing-Xing Liu, Tao Wei, Liang-Bing Gao, Jia-Rong Exp Ther Med Articles Long non-coding RNAs (lncRNAs) are ncRNA transcripts >200 nucleotides that are important genetic regulators. LncRNAs can directly regulate mRNA through a lncRNA-mRNA regulatory mode and can also regulate mRNA through competitive binding to micro (mi)RNA, which is generally known as the competitive endogenous RNA (ceRNA) network. The present study evaluated the functional roles and regulatory networks of lncRNAs in chronic glomerulonephritis (CGN). The proliferative ability of mouse glomerular mesangial cells (GMCs) induced by different concentrations of lipopolysaccharide (LPS) was assessed using the Cell Counting Kit-8 assay, and RNA sequencing (RNA-seq) was performed to identify differentially expressed lncRNAs in LPS-induced GMCs. Based on the sequencing results, six lncRNAs were selected for validation using reverse transcription-quantitative PCR (RT-qPCR). Furthermore, the lncRNA-mRNA regulatory network and the lncRNA-miRNA-mRNA ceRNA network were constructed to assess the role and mechanism of CGN-related lncRNAs. To elucidate the biological functions of lncRNAs, Gene Ontology (GO) biological process term enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on all mRNAs involved in the lncRNA-mRNA regulatory network and in the ceRNA network. A total of 1,532 differentially expressed lncRNAs, including 594 upregulated lncRNAs and 938 downregulated lncRNAs, were identified using RNA-seq. The results of RT-qPCR validation were consistent with RNA-seq results. An lncRNA-mRNA regulatory network, including 236 lncRNAs and 556 mRNAs, and a ceRNA network, including 6 lncRNAs, 18 miRNAs and 419 mRNAs, were successfully constructed. The GO biological process term enrichment and KEGG pathway enrichment analyses demonstrated that those lncRNAs were often related to inflammatory response and substance metabolism. The present study identified key CGN-related lncRNAs in LPS-induced GMCs, and further demonstrated a global view of the lncRNA-mRNA regulatory network and ceRNA network involved in CGN. These results offered novel insights into the roles of lncRNAs in the pathogenesis of CGN and identified potential diagnostic biomarkers. D.A. Spandidos 2023-07-07 /pmc/articles/PMC10375445/ /pubmed/37522060 http://dx.doi.org/10.3892/etm.2023.12102 Text en Copyright: © Zhuang et al. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Zhuang, Xing-Xing
Liu, Tao
Wei, Liang-Bing
Gao, Jia-Rong
Construction of chronic glomerulonephritis‑related lncRNA‑mRNA regulatory network and lncRNA‑­miRNA‑mRNA ceRNA network by bioinformatics analysis
title Construction of chronic glomerulonephritis‑related lncRNA‑mRNA regulatory network and lncRNA‑­miRNA‑mRNA ceRNA network by bioinformatics analysis
title_full Construction of chronic glomerulonephritis‑related lncRNA‑mRNA regulatory network and lncRNA‑­miRNA‑mRNA ceRNA network by bioinformatics analysis
title_fullStr Construction of chronic glomerulonephritis‑related lncRNA‑mRNA regulatory network and lncRNA‑­miRNA‑mRNA ceRNA network by bioinformatics analysis
title_full_unstemmed Construction of chronic glomerulonephritis‑related lncRNA‑mRNA regulatory network and lncRNA‑­miRNA‑mRNA ceRNA network by bioinformatics analysis
title_short Construction of chronic glomerulonephritis‑related lncRNA‑mRNA regulatory network and lncRNA‑­miRNA‑mRNA ceRNA network by bioinformatics analysis
title_sort construction of chronic glomerulonephritis‑related lncrna‑mrna regulatory network and lncrna‑­mirna‑mrna cerna network by bioinformatics analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375445/
https://www.ncbi.nlm.nih.gov/pubmed/37522060
http://dx.doi.org/10.3892/etm.2023.12102
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