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Systematic identification and analysis of dysregulated miRNA and transcription factor feed‐forward loops in hypertrophic cardiomyopathy

Hypertrophic cardiomyopathy (HCM) is the most common genetic cardiovascular disease. Although some genes and miRNAs related with HCM have been studied, the molecular regulatory mechanisms between miRNAs and transcription factors (TFs) in HCM have not been systematically elucidated. In this study, we...

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Autores principales: Shi, Hongbo, Li, Jiayao, Song, Qiong, Cheng, Liang, Sun, Haoran, Fan, Wenjing, Li, Jianfei, Wang, Zhenzhen, Zhang, Guangde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6307764/
https://www.ncbi.nlm.nih.gov/pubmed/30338905
http://dx.doi.org/10.1111/jcmm.13928
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author Shi, Hongbo
Li, Jiayao
Song, Qiong
Cheng, Liang
Sun, Haoran
Fan, Wenjing
Li, Jianfei
Wang, Zhenzhen
Zhang, Guangde
author_facet Shi, Hongbo
Li, Jiayao
Song, Qiong
Cheng, Liang
Sun, Haoran
Fan, Wenjing
Li, Jianfei
Wang, Zhenzhen
Zhang, Guangde
author_sort Shi, Hongbo
collection PubMed
description Hypertrophic cardiomyopathy (HCM) is the most common genetic cardiovascular disease. Although some genes and miRNAs related with HCM have been studied, the molecular regulatory mechanisms between miRNAs and transcription factors (TFs) in HCM have not been systematically elucidated. In this study, we proposed a novel method for identifying dysregulated miRNA‐TF feed‐forward loops (FFLs) by integrating sample matched miRNA and gene expression profiles and experimentally verified interactions of TF‐target gene and miRNA‐target gene. We identified 316 dysregulated miRNA‐TF FFLs in HCM, which were confirmed to be closely related with HCM from various perspectives. Subpathway enrichment analysis demonstrated that the method was outperformed by the existing method. Furthermore, we systematically analysed the global architecture and feature of gene regulation by miRNAs and TFs in HCM, and the FFL composed of hsa‐miR‐17‐5p, FASN and STAT3 was inferred to play critical roles in HCM. Additionally, we identified two panels of biomarkers defined by three TFs (CEBPB, HIF1A, and STAT3) and four miRNAs (hsa‐miR‐155‐5p, hsa‐miR‐17‐5p, hsa‐miR‐20a‐5p, and hsa‐miR‐181a‐5p) in a discovery cohort of 126 samples, which could differentiate HCM patients from healthy controls with better performance. Our work provides HCM‐related dysregulated miRNA‐TF FFLs for further experimental study, and provides candidate biomarkers for HCM diagnosis and treatment.
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spelling pubmed-63077642019-01-04 Systematic identification and analysis of dysregulated miRNA and transcription factor feed‐forward loops in hypertrophic cardiomyopathy Shi, Hongbo Li, Jiayao Song, Qiong Cheng, Liang Sun, Haoran Fan, Wenjing Li, Jianfei Wang, Zhenzhen Zhang, Guangde J Cell Mol Med Original Articles Hypertrophic cardiomyopathy (HCM) is the most common genetic cardiovascular disease. Although some genes and miRNAs related with HCM have been studied, the molecular regulatory mechanisms between miRNAs and transcription factors (TFs) in HCM have not been systematically elucidated. In this study, we proposed a novel method for identifying dysregulated miRNA‐TF feed‐forward loops (FFLs) by integrating sample matched miRNA and gene expression profiles and experimentally verified interactions of TF‐target gene and miRNA‐target gene. We identified 316 dysregulated miRNA‐TF FFLs in HCM, which were confirmed to be closely related with HCM from various perspectives. Subpathway enrichment analysis demonstrated that the method was outperformed by the existing method. Furthermore, we systematically analysed the global architecture and feature of gene regulation by miRNAs and TFs in HCM, and the FFL composed of hsa‐miR‐17‐5p, FASN and STAT3 was inferred to play critical roles in HCM. Additionally, we identified two panels of biomarkers defined by three TFs (CEBPB, HIF1A, and STAT3) and four miRNAs (hsa‐miR‐155‐5p, hsa‐miR‐17‐5p, hsa‐miR‐20a‐5p, and hsa‐miR‐181a‐5p) in a discovery cohort of 126 samples, which could differentiate HCM patients from healthy controls with better performance. Our work provides HCM‐related dysregulated miRNA‐TF FFLs for further experimental study, and provides candidate biomarkers for HCM diagnosis and treatment. John Wiley and Sons Inc. 2018-10-19 2019-01 /pmc/articles/PMC6307764/ /pubmed/30338905 http://dx.doi.org/10.1111/jcmm.13928 Text en © 2018 The Authors. Journal of Cellular and Molecular Medicine published by John Wiley & Sons Ltd and Foundation for Cellular and Molecular Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Shi, Hongbo
Li, Jiayao
Song, Qiong
Cheng, Liang
Sun, Haoran
Fan, Wenjing
Li, Jianfei
Wang, Zhenzhen
Zhang, Guangde
Systematic identification and analysis of dysregulated miRNA and transcription factor feed‐forward loops in hypertrophic cardiomyopathy
title Systematic identification and analysis of dysregulated miRNA and transcription factor feed‐forward loops in hypertrophic cardiomyopathy
title_full Systematic identification and analysis of dysregulated miRNA and transcription factor feed‐forward loops in hypertrophic cardiomyopathy
title_fullStr Systematic identification and analysis of dysregulated miRNA and transcription factor feed‐forward loops in hypertrophic cardiomyopathy
title_full_unstemmed Systematic identification and analysis of dysregulated miRNA and transcription factor feed‐forward loops in hypertrophic cardiomyopathy
title_short Systematic identification and analysis of dysregulated miRNA and transcription factor feed‐forward loops in hypertrophic cardiomyopathy
title_sort systematic identification and analysis of dysregulated mirna and transcription factor feed‐forward loops in hypertrophic cardiomyopathy
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6307764/
https://www.ncbi.nlm.nih.gov/pubmed/30338905
http://dx.doi.org/10.1111/jcmm.13928
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