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Transcriptome sequencing and lncRNA-miRNA-mRNA network construction in cardiac fibrosis and heart failure

Cardiac fibrosis (CF) and heart failure (HF) are common heart diseases, and severe CF can lead to HF. In this study, we tried to find their common potential molecular markers, which may help the diagnosis and treatment of CF and HF. RNA library construction and high-throughput sequencing were perfor...

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Autores principales: Wang, Shuo, Lv, Tianjie, Chen, Qincong, Yang, Yan, Xu, Lei, Zhang, Xiaolei, Wang, Enmao, Hu, Xitian, Liu, Yuying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8974171/
https://www.ncbi.nlm.nih.gov/pubmed/35235759
http://dx.doi.org/10.1080/21655979.2022.2045839
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author Wang, Shuo
Lv, Tianjie
Chen, Qincong
Yang, Yan
Xu, Lei
Zhang, Xiaolei
Wang, Enmao
Hu, Xitian
Liu, Yuying
author_facet Wang, Shuo
Lv, Tianjie
Chen, Qincong
Yang, Yan
Xu, Lei
Zhang, Xiaolei
Wang, Enmao
Hu, Xitian
Liu, Yuying
author_sort Wang, Shuo
collection PubMed
description Cardiac fibrosis (CF) and heart failure (HF) are common heart diseases, and severe CF can lead to HF. In this study, we tried to find their common potential molecular markers, which may help the diagnosis and treatment of CF and HF. RNA library construction and high-throughput sequencing were performed. The DESeq2 package in R was used to screen differentially expressed mRNAs (DEmRNAs), differentially expressed lncRNA (DElncRNAs) and differentially expressed miRNA (DEmiRNAs) between different samples. The common DEmRNAs, DElncRNAs and DEmiRNAs for the two diseases were obtained. The ConsensusPathDB (CPDB) was used to perform biological function enrichment for common DEmRNAs. Gene interaction network was constructed to screen out key genes. Subsequently, real-time polymerase chain reaction (RT-PCR) verification was performed. Lastly, GSE104150 and GSE21125 data sets were utilized for expression validation and diagnostic analysis. There were 1477 DEmRNAs, 502 DElncRNAs and 36 DEmiRNAs between CF and healthy control group. There were 607 DEmRNAs, 379DElncRNAs,s and 42 DEmiRNAs between HF and healthy control group. CH and FH shared 146 DEmRNAs, 80 DElncRNAs, and 6 DEmiRNAs. Hsa-miR-144-3p, CCNE2, C9orf72, MAP3K20-AS1, LEF1-AS1, AC243772.2, FLJ46284, and AC239798.2 were key molecules in lncRNA-miRNA-mRNA network. In addition, hsa-miR-144-3p and CCNE2 may be considered as potential diagnostic gene biomarkers in HF. In this study, the identification of common biomarkers of CF and HF may help prevent CF to HF transition as early as possible.
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spelling pubmed-89741712022-04-02 Transcriptome sequencing and lncRNA-miRNA-mRNA network construction in cardiac fibrosis and heart failure Wang, Shuo Lv, Tianjie Chen, Qincong Yang, Yan Xu, Lei Zhang, Xiaolei Wang, Enmao Hu, Xitian Liu, Yuying Bioengineered Research Paper Cardiac fibrosis (CF) and heart failure (HF) are common heart diseases, and severe CF can lead to HF. In this study, we tried to find their common potential molecular markers, which may help the diagnosis and treatment of CF and HF. RNA library construction and high-throughput sequencing were performed. The DESeq2 package in R was used to screen differentially expressed mRNAs (DEmRNAs), differentially expressed lncRNA (DElncRNAs) and differentially expressed miRNA (DEmiRNAs) between different samples. The common DEmRNAs, DElncRNAs and DEmiRNAs for the two diseases were obtained. The ConsensusPathDB (CPDB) was used to perform biological function enrichment for common DEmRNAs. Gene interaction network was constructed to screen out key genes. Subsequently, real-time polymerase chain reaction (RT-PCR) verification was performed. Lastly, GSE104150 and GSE21125 data sets were utilized for expression validation and diagnostic analysis. There were 1477 DEmRNAs, 502 DElncRNAs and 36 DEmiRNAs between CF and healthy control group. There were 607 DEmRNAs, 379DElncRNAs,s and 42 DEmiRNAs between HF and healthy control group. CH and FH shared 146 DEmRNAs, 80 DElncRNAs, and 6 DEmiRNAs. Hsa-miR-144-3p, CCNE2, C9orf72, MAP3K20-AS1, LEF1-AS1, AC243772.2, FLJ46284, and AC239798.2 were key molecules in lncRNA-miRNA-mRNA network. In addition, hsa-miR-144-3p and CCNE2 may be considered as potential diagnostic gene biomarkers in HF. In this study, the identification of common biomarkers of CF and HF may help prevent CF to HF transition as early as possible. Taylor & Francis 2022-03-02 /pmc/articles/PMC8974171/ /pubmed/35235759 http://dx.doi.org/10.1080/21655979.2022.2045839 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Wang, Shuo
Lv, Tianjie
Chen, Qincong
Yang, Yan
Xu, Lei
Zhang, Xiaolei
Wang, Enmao
Hu, Xitian
Liu, Yuying
Transcriptome sequencing and lncRNA-miRNA-mRNA network construction in cardiac fibrosis and heart failure
title Transcriptome sequencing and lncRNA-miRNA-mRNA network construction in cardiac fibrosis and heart failure
title_full Transcriptome sequencing and lncRNA-miRNA-mRNA network construction in cardiac fibrosis and heart failure
title_fullStr Transcriptome sequencing and lncRNA-miRNA-mRNA network construction in cardiac fibrosis and heart failure
title_full_unstemmed Transcriptome sequencing and lncRNA-miRNA-mRNA network construction in cardiac fibrosis and heart failure
title_short Transcriptome sequencing and lncRNA-miRNA-mRNA network construction in cardiac fibrosis and heart failure
title_sort transcriptome sequencing and lncrna-mirna-mrna network construction in cardiac fibrosis and heart failure
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8974171/
https://www.ncbi.nlm.nih.gov/pubmed/35235759
http://dx.doi.org/10.1080/21655979.2022.2045839
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