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Published on: March 22, 2017
Transcriptomic Analysis of Cardiomyocyte Extracellular Vesicles in Hypertrophic Cardiomyopathy Reveals Differential
Victoria James1, Zubair A Nizamudeen1, Daniel Lea1
1School of Veterinary Medicine and Science, University of Nottingham, Nottingham, United Kingdom.
Insights
Human stem cell-derived cardiomyocytes revealed that hypertrophic cardiomyopathy (HCM) mutations disrupt cellular metabolism and gene splicing. Extracellular vesicles released by these cells carry small nucleolar RNAs (snoRNAs) that may offer new insights into HCM mechanisms and potential therapies.
Area of Science:
- Cardiovascular Biology
- Stem Cell Biology
- Molecular Medicine
Background:
- Hypertrophic cardiomyopathy (HCM) is a genetic heart muscle disease characterized by left ventricular hypertrophy.
- The underlying molecular mechanisms driving HCM phenotypes, including heart failure and sudden cardiac death, remain incompletely understood.
- Human models are crucial for elucidating HCM pathogenesis and developing targeted therapies.
Purpose of the Study:
- To investigate the molecular consequences of an HCM-associated mutation (c.ACTC1^G301A) using human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs).
- To analyze cellular and extracellular vesicle (EV) transcriptomes under varying contractile workloads.
- To identify novel mechanisms and potential therapeutic targets for HCM.
Main Methods:
- Generation of hiPSC lines from HCM patients and isogenic controls using CRISPR/Cas9 gene editing.
- Differentiation of hiPSCs into hiPSC-CMs and analysis at baseline and increased contractile workload (2 Hz stimulation).
- Isolation and characterization of extracellular vesicles (EVs) and transcriptomic analysis of both cells and EVs.
Main Results:
- HCM mutation induced differential splicing and disrupted metabolic pathways in hiPSC-CMs.
- Increased contractile workload exacerbated metabolic gene expression disruptions in HCM hiPSC-CMs.
- HCM-derived EVs showed altered small nucleolar RNA (snoRNA) cargo, particularly under increased workload, suggesting roles in post-translational modification and alternative splicing.
Conclusions:
- HCM mutations impact cellular splicing and metabolism, with workload exacerbating these effects.
- EV-associated snoRNAs represent a novel mechanism potentially linking workload, splicing, and HCM phenotypes.
- Identified snoRNAs may serve as future HCM biomarkers or targets for RNA-based therapies.
Abstract:
Hypertrophic cardiomyopathy (HCM) is characterized by increased left ventricular wall thickness that can lead to devastating conditions such as heart failure and sudden cardiac death. Despite extensive study, the mechanisms mediating many of the associated clinical manifestations remain unknown and human models are required. To address this, human-induced pluripotent stem cell (hiPSC) lines were generated from patients with a HCM-associated mutation (c.ACTC1G301A) and isogenic controls created by correcting the mutation using CRISPR/Cas9 gene editing technology. Cardiomyocytes (hiPSC-CMs) were differentiated from these hiPSCs and analyzed at baseline, and at increased contractile workload (2 Hz electrical stimulation). Released extracellular vesicles (EVs) were isolated and characterized after a 24-h culture period and transcriptomic analysis performed on both hiPSC-CMs and released EVs. Transcriptomic analysis of cellular mRNA showed the HCM mutation caused differential splicing within known HCM pathways, and disrupted metabolic pathways. Analysis at increasing contraction frequency showed further disruption of metabolic gene expression, with an additive effect in the HCM background. Intriguingly, we observed differences in snoRNA cargo within HCM released EVs that specifically altered when HCM hiPSC-CMs were subjected to increased workload. These snoRNAs were predicted to have roles in post-translational modifications and alternative splicing, processes differentially regulated in HCM. As such, the snoRNAs identified in this study may unveil mechanistic insight into unexplained HCM phenotypes and offer potential future use as HCM biomarkers or as targets in future RNA-targeting therapies.
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