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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2020
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.
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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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