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RNA Expression Profiling of Human iPSC-Derived Cardiomyocytes in a Cardiac Hypertrophy Model

Cardiac hypertrophy is an independent risk factor for cardiovascular disease and heart failure. There is increasing evidence that microRNAs (miRNAs) play an important role in the regulation of messenger RNA (mRNA) and the pathogenesis of various cardiovascular diseases. However, the ability to compr...

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Autores principales: Aggarwal, Praful, Turner, Amy, Matter, Andrea, Kattman, Steven J., Stoddard, Alexander, Lorier, Rachel, Swanson, Bradley J., Arnett, Donna K., Broeckel, Ulrich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177883/
https://www.ncbi.nlm.nih.gov/pubmed/25255322
http://dx.doi.org/10.1371/journal.pone.0108051
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author Aggarwal, Praful
Turner, Amy
Matter, Andrea
Kattman, Steven J.
Stoddard, Alexander
Lorier, Rachel
Swanson, Bradley J.
Arnett, Donna K.
Broeckel, Ulrich
author_facet Aggarwal, Praful
Turner, Amy
Matter, Andrea
Kattman, Steven J.
Stoddard, Alexander
Lorier, Rachel
Swanson, Bradley J.
Arnett, Donna K.
Broeckel, Ulrich
author_sort Aggarwal, Praful
collection PubMed
description Cardiac hypertrophy is an independent risk factor for cardiovascular disease and heart failure. There is increasing evidence that microRNAs (miRNAs) play an important role in the regulation of messenger RNA (mRNA) and the pathogenesis of various cardiovascular diseases. However, the ability to comprehensively study cardiac hypertrophy on a gene regulatory level is impacted by the limited availability of human cardiomyocytes. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) offer the opportunity for disease modeling. Here we utilize a previously established in vitro model of cardiac hypertrophy to interrogate the regulatory mechanism associated with the cardiac disease process. We perform miRNA sequencing and mRNA expression analysis on endothelin 1 (ET-1) stimulated hiPSC-CMs to describe associated RNA expression profiles. MicroRNA sequencing revealed over 250 known and 34 predicted novel miRNAs to be differentially expressed between ET-1 stimulated and unstimulated control hiPSC-CMs. Messenger RNA expression analysis identified 731 probe sets with significant differential expression. Computational target prediction on significant differentially expressed miRNAs and mRNAs identified nearly 2000 target pairs. A principal component analysis approach comparing the in vitro data with human myocardial biopsies detected overlapping expression changes between the in vitro samples and myocardial biopsies with Left Ventricular Hypertrophy. These results provide further insights into the complex RNA regulatory mechanism associated with cardiac hypertrophy.
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spelling pubmed-41778832014-10-02 RNA Expression Profiling of Human iPSC-Derived Cardiomyocytes in a Cardiac Hypertrophy Model Aggarwal, Praful Turner, Amy Matter, Andrea Kattman, Steven J. Stoddard, Alexander Lorier, Rachel Swanson, Bradley J. Arnett, Donna K. Broeckel, Ulrich PLoS One Research Article Cardiac hypertrophy is an independent risk factor for cardiovascular disease and heart failure. There is increasing evidence that microRNAs (miRNAs) play an important role in the regulation of messenger RNA (mRNA) and the pathogenesis of various cardiovascular diseases. However, the ability to comprehensively study cardiac hypertrophy on a gene regulatory level is impacted by the limited availability of human cardiomyocytes. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) offer the opportunity for disease modeling. Here we utilize a previously established in vitro model of cardiac hypertrophy to interrogate the regulatory mechanism associated with the cardiac disease process. We perform miRNA sequencing and mRNA expression analysis on endothelin 1 (ET-1) stimulated hiPSC-CMs to describe associated RNA expression profiles. MicroRNA sequencing revealed over 250 known and 34 predicted novel miRNAs to be differentially expressed between ET-1 stimulated and unstimulated control hiPSC-CMs. Messenger RNA expression analysis identified 731 probe sets with significant differential expression. Computational target prediction on significant differentially expressed miRNAs and mRNAs identified nearly 2000 target pairs. A principal component analysis approach comparing the in vitro data with human myocardial biopsies detected overlapping expression changes between the in vitro samples and myocardial biopsies with Left Ventricular Hypertrophy. These results provide further insights into the complex RNA regulatory mechanism associated with cardiac hypertrophy. Public Library of Science 2014-09-25 /pmc/articles/PMC4177883/ /pubmed/25255322 http://dx.doi.org/10.1371/journal.pone.0108051 Text en © 2014 Aggarwal et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Aggarwal, Praful
Turner, Amy
Matter, Andrea
Kattman, Steven J.
Stoddard, Alexander
Lorier, Rachel
Swanson, Bradley J.
Arnett, Donna K.
Broeckel, Ulrich
RNA Expression Profiling of Human iPSC-Derived Cardiomyocytes in a Cardiac Hypertrophy Model
title RNA Expression Profiling of Human iPSC-Derived Cardiomyocytes in a Cardiac Hypertrophy Model
title_full RNA Expression Profiling of Human iPSC-Derived Cardiomyocytes in a Cardiac Hypertrophy Model
title_fullStr RNA Expression Profiling of Human iPSC-Derived Cardiomyocytes in a Cardiac Hypertrophy Model
title_full_unstemmed RNA Expression Profiling of Human iPSC-Derived Cardiomyocytes in a Cardiac Hypertrophy Model
title_short RNA Expression Profiling of Human iPSC-Derived Cardiomyocytes in a Cardiac Hypertrophy Model
title_sort rna expression profiling of human ipsc-derived cardiomyocytes in a cardiac hypertrophy model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177883/
https://www.ncbi.nlm.nih.gov/pubmed/25255322
http://dx.doi.org/10.1371/journal.pone.0108051
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