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A susceptibility biomarker identification strategy based on significantly differentially expressed ceRNA triplets for ischemic cardiomyopathy
Ischemic cardiomyopathy (ICM) is a common human heart disease that causes death. No effective biomarkers for ICM could be found in existing databases, which is detrimental to the in-depth study of this disease. In the present study, ICM susceptibility biomarkers were identified using a proposed stra...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981099/ https://www.ncbi.nlm.nih.gov/pubmed/31919492 http://dx.doi.org/10.1042/BSR20191731 |
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author | Zou, Yuqing Wang, Yahui Rong, Zherou Wei, Benliang Liu, Yang Song, Zhaona Li, Wenshuai Hu, Erqiang Deng, Gui He, Yuehan Lv, Junjie Chen, Lina Li, Wan |
author_facet | Zou, Yuqing Wang, Yahui Rong, Zherou Wei, Benliang Liu, Yang Song, Zhaona Li, Wenshuai Hu, Erqiang Deng, Gui He, Yuehan Lv, Junjie Chen, Lina Li, Wan |
author_sort | Zou, Yuqing |
collection | PubMed |
description | Ischemic cardiomyopathy (ICM) is a common human heart disease that causes death. No effective biomarkers for ICM could be found in existing databases, which is detrimental to the in-depth study of this disease. In the present study, ICM susceptibility biomarkers were identified using a proposed strategy based on RNA-Seq and miRNA-Seq data of ICM and normal samples. Significantly differentially expressed competing endogenous RNA (ceRNA) triplets were constructed using permutation tests and differentially expressed mRNAs, miRNAs and lncRNAs. Candidate ICM susceptible genes were screened out as differentially expressed genes in significantly differentially expressed ceRNA triplets enriched in ICM-related functional classes. Finally, eight ICM susceptibility genes and their significantly correlated lncRNAs with high classification accuracy were identified as ICM susceptibility biomarkers. These biomarkers would contribute to the diagnosis and treatment of ICM. The proposed strategy could be extended to other complex diseases without disease biomarkers in public databases. |
format | Online Article Text |
id | pubmed-6981099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Portland Press Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69810992020-02-05 A susceptibility biomarker identification strategy based on significantly differentially expressed ceRNA triplets for ischemic cardiomyopathy Zou, Yuqing Wang, Yahui Rong, Zherou Wei, Benliang Liu, Yang Song, Zhaona Li, Wenshuai Hu, Erqiang Deng, Gui He, Yuehan Lv, Junjie Chen, Lina Li, Wan Biosci Rep Bioinformatics Ischemic cardiomyopathy (ICM) is a common human heart disease that causes death. No effective biomarkers for ICM could be found in existing databases, which is detrimental to the in-depth study of this disease. In the present study, ICM susceptibility biomarkers were identified using a proposed strategy based on RNA-Seq and miRNA-Seq data of ICM and normal samples. Significantly differentially expressed competing endogenous RNA (ceRNA) triplets were constructed using permutation tests and differentially expressed mRNAs, miRNAs and lncRNAs. Candidate ICM susceptible genes were screened out as differentially expressed genes in significantly differentially expressed ceRNA triplets enriched in ICM-related functional classes. Finally, eight ICM susceptibility genes and their significantly correlated lncRNAs with high classification accuracy were identified as ICM susceptibility biomarkers. These biomarkers would contribute to the diagnosis and treatment of ICM. The proposed strategy could be extended to other complex diseases without disease biomarkers in public databases. Portland Press Ltd. 2020-01-24 /pmc/articles/PMC6981099/ /pubmed/31919492 http://dx.doi.org/10.1042/BSR20191731 Text en © 2020 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY). |
spellingShingle | Bioinformatics Zou, Yuqing Wang, Yahui Rong, Zherou Wei, Benliang Liu, Yang Song, Zhaona Li, Wenshuai Hu, Erqiang Deng, Gui He, Yuehan Lv, Junjie Chen, Lina Li, Wan A susceptibility biomarker identification strategy based on significantly differentially expressed ceRNA triplets for ischemic cardiomyopathy |
title | A susceptibility biomarker identification strategy based on significantly differentially expressed ceRNA triplets for ischemic cardiomyopathy |
title_full | A susceptibility biomarker identification strategy based on significantly differentially expressed ceRNA triplets for ischemic cardiomyopathy |
title_fullStr | A susceptibility biomarker identification strategy based on significantly differentially expressed ceRNA triplets for ischemic cardiomyopathy |
title_full_unstemmed | A susceptibility biomarker identification strategy based on significantly differentially expressed ceRNA triplets for ischemic cardiomyopathy |
title_short | A susceptibility biomarker identification strategy based on significantly differentially expressed ceRNA triplets for ischemic cardiomyopathy |
title_sort | susceptibility biomarker identification strategy based on significantly differentially expressed cerna triplets for ischemic cardiomyopathy |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981099/ https://www.ncbi.nlm.nih.gov/pubmed/31919492 http://dx.doi.org/10.1042/BSR20191731 |
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