Cargando…

Insight into the lncRNA–mRNA Co-Expression Profile and ceRNA Network in Lipopolysaccharide-Induced Acute Lung Injury

Long non-coding RNAs (lncRNAs) participate in acute lung injury (ALI). However, their latent biological function and molecular mechanism have not been fully understood. In the present study, the global expression profiles of lncRNAs and mRNAs between the control and lipopolysaccharide (LPS)-stimulat...

Descripción completa

Detalles Bibliográficos
Autores principales: Shen, Yue, Gong, Linjing, Xu, Fan, Wang, Sijiao, Liu, Hanhan, Wang, Yali, Hu, Lijuan, Zhu, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378513/
https://www.ncbi.nlm.nih.gov/pubmed/37504305
http://dx.doi.org/10.3390/cimb45070389
_version_ 1785079785339224064
author Shen, Yue
Gong, Linjing
Xu, Fan
Wang, Sijiao
Liu, Hanhan
Wang, Yali
Hu, Lijuan
Zhu, Lei
author_facet Shen, Yue
Gong, Linjing
Xu, Fan
Wang, Sijiao
Liu, Hanhan
Wang, Yali
Hu, Lijuan
Zhu, Lei
author_sort Shen, Yue
collection PubMed
description Long non-coding RNAs (lncRNAs) participate in acute lung injury (ALI). However, their latent biological function and molecular mechanism have not been fully understood. In the present study, the global expression profiles of lncRNAs and mRNAs between the control and lipopolysaccharide (LPS)-stimulated groups of human normal lung epithelial cells (BEAS-2B) were determined using high-throughput sequencing. Overall, a total of 433 lncRNAs and 183 mRNAs were differentially expressed. A lncRNA–mRNA co-expression network was established, and then the top 10 lncRNAs were screened using topological methods. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis results showed that the key lncRNAs targeting mRNAs were mostly enriched in the inflammatory-related biological processes. Gene set variation analysis and Pearson’s correlation coefficients confirmed the close correlation for the top 10 lncRNAs with inflammatory responses. A protein–protein interaction network analysis was conducted based on the key lncRNAs targeting mRNAs, where IL-1β, IL-6, and CXCL8 were regarded as the hub genes. A competing endogenous RNA (ceRNA) modulatory network was created with five lncRNAs, thirteen microRNAs, and twelve mRNAs. Finally, real-time quantitative reverse transcription-polymerase chain reaction was employed to verify the expression levels of several key lncRNAs in BEAS-2B cells and human serum samples.
format Online
Article
Text
id pubmed-10378513
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-103785132023-07-29 Insight into the lncRNA–mRNA Co-Expression Profile and ceRNA Network in Lipopolysaccharide-Induced Acute Lung Injury Shen, Yue Gong, Linjing Xu, Fan Wang, Sijiao Liu, Hanhan Wang, Yali Hu, Lijuan Zhu, Lei Curr Issues Mol Biol Article Long non-coding RNAs (lncRNAs) participate in acute lung injury (ALI). However, their latent biological function and molecular mechanism have not been fully understood. In the present study, the global expression profiles of lncRNAs and mRNAs between the control and lipopolysaccharide (LPS)-stimulated groups of human normal lung epithelial cells (BEAS-2B) were determined using high-throughput sequencing. Overall, a total of 433 lncRNAs and 183 mRNAs were differentially expressed. A lncRNA–mRNA co-expression network was established, and then the top 10 lncRNAs were screened using topological methods. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis results showed that the key lncRNAs targeting mRNAs were mostly enriched in the inflammatory-related biological processes. Gene set variation analysis and Pearson’s correlation coefficients confirmed the close correlation for the top 10 lncRNAs with inflammatory responses. A protein–protein interaction network analysis was conducted based on the key lncRNAs targeting mRNAs, where IL-1β, IL-6, and CXCL8 were regarded as the hub genes. A competing endogenous RNA (ceRNA) modulatory network was created with five lncRNAs, thirteen microRNAs, and twelve mRNAs. Finally, real-time quantitative reverse transcription-polymerase chain reaction was employed to verify the expression levels of several key lncRNAs in BEAS-2B cells and human serum samples. MDPI 2023-07-24 /pmc/articles/PMC10378513/ /pubmed/37504305 http://dx.doi.org/10.3390/cimb45070389 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shen, Yue
Gong, Linjing
Xu, Fan
Wang, Sijiao
Liu, Hanhan
Wang, Yali
Hu, Lijuan
Zhu, Lei
Insight into the lncRNA–mRNA Co-Expression Profile and ceRNA Network in Lipopolysaccharide-Induced Acute Lung Injury
title Insight into the lncRNA–mRNA Co-Expression Profile and ceRNA Network in Lipopolysaccharide-Induced Acute Lung Injury
title_full Insight into the lncRNA–mRNA Co-Expression Profile and ceRNA Network in Lipopolysaccharide-Induced Acute Lung Injury
title_fullStr Insight into the lncRNA–mRNA Co-Expression Profile and ceRNA Network in Lipopolysaccharide-Induced Acute Lung Injury
title_full_unstemmed Insight into the lncRNA–mRNA Co-Expression Profile and ceRNA Network in Lipopolysaccharide-Induced Acute Lung Injury
title_short Insight into the lncRNA–mRNA Co-Expression Profile and ceRNA Network in Lipopolysaccharide-Induced Acute Lung Injury
title_sort insight into the lncrna–mrna co-expression profile and cerna network in lipopolysaccharide-induced acute lung injury
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378513/
https://www.ncbi.nlm.nih.gov/pubmed/37504305
http://dx.doi.org/10.3390/cimb45070389
work_keys_str_mv AT shenyue insightintothelncrnamrnacoexpressionprofileandcernanetworkinlipopolysaccharideinducedacutelunginjury
AT gonglinjing insightintothelncrnamrnacoexpressionprofileandcernanetworkinlipopolysaccharideinducedacutelunginjury
AT xufan insightintothelncrnamrnacoexpressionprofileandcernanetworkinlipopolysaccharideinducedacutelunginjury
AT wangsijiao insightintothelncrnamrnacoexpressionprofileandcernanetworkinlipopolysaccharideinducedacutelunginjury
AT liuhanhan insightintothelncrnamrnacoexpressionprofileandcernanetworkinlipopolysaccharideinducedacutelunginjury
AT wangyali insightintothelncrnamrnacoexpressionprofileandcernanetworkinlipopolysaccharideinducedacutelunginjury
AT hulijuan insightintothelncrnamrnacoexpressionprofileandcernanetworkinlipopolysaccharideinducedacutelunginjury
AT zhulei insightintothelncrnamrnacoexpressionprofileandcernanetworkinlipopolysaccharideinducedacutelunginjury