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Dysregulated lncRNA and mRNA may promote the progression of ischemic stroke via immune and inflammatory pathways: results from RNA sequencing and bioinformatics analysis

BACKGROUND: Long non-coding RNAs (lncRNAs) are widely involved in gene transcription regulation and which act as epigenetic modifiers in many diseases. OBJECTIVE: To determine whether lncRNAs are involved in ischemic stroke (IS), we analyzed the expression profile of lncRNAs and mRNAs in IS. METHODS...

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Autores principales: Wang, Yingshuang, Feng, Feifei, Zheng, Pingping, Wang, Lijuan, Wang, Yanjun, Lv, Yaogai, Shen, Li, Li, Kexin, Feng, Tianyu, Chen, Yang, Liu, Zhigang, Yao, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546200/
https://www.ncbi.nlm.nih.gov/pubmed/34699043
http://dx.doi.org/10.1007/s13258-021-01173-1
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author Wang, Yingshuang
Feng, Feifei
Zheng, Pingping
Wang, Lijuan
Wang, Yanjun
Lv, Yaogai
Shen, Li
Li, Kexin
Feng, Tianyu
Chen, Yang
Liu, Zhigang
Yao, Yan
author_facet Wang, Yingshuang
Feng, Feifei
Zheng, Pingping
Wang, Lijuan
Wang, Yanjun
Lv, Yaogai
Shen, Li
Li, Kexin
Feng, Tianyu
Chen, Yang
Liu, Zhigang
Yao, Yan
author_sort Wang, Yingshuang
collection PubMed
description BACKGROUND: Long non-coding RNAs (lncRNAs) are widely involved in gene transcription regulation and which act as epigenetic modifiers in many diseases. OBJECTIVE: To determine whether lncRNAs are involved in ischemic stroke (IS), we analyzed the expression profile of lncRNAs and mRNAs in IS. METHODS: RNA sequencing was performed on the blood of three pairs of IS patients and healthy controls. Differential expression analysis was used to identify differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs). Based on the co-expression relationships between lncRNA and mRNA, a series of bioinformatics analysis including GO and KEGG enrichment analysis and PPI analysis, were conducted to predict the function of lncRNA. RESULTS: RNA sequencing produced a total of 5 DElncRNAs and 144 DEmRNAs. Influenza A pathway and Herpes simplex infection pathway were the most significant pathways. EP300 and NFKB1 were the most important target proteins, and Human leucocyte antigen (HLA) family were the key genes in IS. CONCLUSIONS: Analysis of this study revealed that dysregulated lncRNAs in IS may lead to IS by affecting the immune and inflammation system. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13258-021-01173-1.
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spelling pubmed-85462002021-10-26 Dysregulated lncRNA and mRNA may promote the progression of ischemic stroke via immune and inflammatory pathways: results from RNA sequencing and bioinformatics analysis Wang, Yingshuang Feng, Feifei Zheng, Pingping Wang, Lijuan Wang, Yanjun Lv, Yaogai Shen, Li Li, Kexin Feng, Tianyu Chen, Yang Liu, Zhigang Yao, Yan Genes Genomics Research Article BACKGROUND: Long non-coding RNAs (lncRNAs) are widely involved in gene transcription regulation and which act as epigenetic modifiers in many diseases. OBJECTIVE: To determine whether lncRNAs are involved in ischemic stroke (IS), we analyzed the expression profile of lncRNAs and mRNAs in IS. METHODS: RNA sequencing was performed on the blood of three pairs of IS patients and healthy controls. Differential expression analysis was used to identify differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs). Based on the co-expression relationships between lncRNA and mRNA, a series of bioinformatics analysis including GO and KEGG enrichment analysis and PPI analysis, were conducted to predict the function of lncRNA. RESULTS: RNA sequencing produced a total of 5 DElncRNAs and 144 DEmRNAs. Influenza A pathway and Herpes simplex infection pathway were the most significant pathways. EP300 and NFKB1 were the most important target proteins, and Human leucocyte antigen (HLA) family were the key genes in IS. CONCLUSIONS: Analysis of this study revealed that dysregulated lncRNAs in IS may lead to IS by affecting the immune and inflammation system. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13258-021-01173-1. Springer Singapore 2021-10-26 2022 /pmc/articles/PMC8546200/ /pubmed/34699043 http://dx.doi.org/10.1007/s13258-021-01173-1 Text en © The Genetics Society of Korea 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Wang, Yingshuang
Feng, Feifei
Zheng, Pingping
Wang, Lijuan
Wang, Yanjun
Lv, Yaogai
Shen, Li
Li, Kexin
Feng, Tianyu
Chen, Yang
Liu, Zhigang
Yao, Yan
Dysregulated lncRNA and mRNA may promote the progression of ischemic stroke via immune and inflammatory pathways: results from RNA sequencing and bioinformatics analysis
title Dysregulated lncRNA and mRNA may promote the progression of ischemic stroke via immune and inflammatory pathways: results from RNA sequencing and bioinformatics analysis
title_full Dysregulated lncRNA and mRNA may promote the progression of ischemic stroke via immune and inflammatory pathways: results from RNA sequencing and bioinformatics analysis
title_fullStr Dysregulated lncRNA and mRNA may promote the progression of ischemic stroke via immune and inflammatory pathways: results from RNA sequencing and bioinformatics analysis
title_full_unstemmed Dysregulated lncRNA and mRNA may promote the progression of ischemic stroke via immune and inflammatory pathways: results from RNA sequencing and bioinformatics analysis
title_short Dysregulated lncRNA and mRNA may promote the progression of ischemic stroke via immune and inflammatory pathways: results from RNA sequencing and bioinformatics analysis
title_sort dysregulated lncrna and mrna may promote the progression of ischemic stroke via immune and inflammatory pathways: results from rna sequencing and bioinformatics analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546200/
https://www.ncbi.nlm.nih.gov/pubmed/34699043
http://dx.doi.org/10.1007/s13258-021-01173-1
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