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Global MicroRNA Profiling of the Mouse Ventricles during Development of Severe Hypertrophic Cardiomyopathy and Heart Failure

Overview of attention for article published in PLOS ONE, September 2012
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Title
Global MicroRNA Profiling of the Mouse Ventricles during Development of Severe Hypertrophic Cardiomyopathy and Heart Failure
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044744
Pubmed ID
Authors

Richard D. Bagnall, Tatiana Tsoutsman, Rhian E. Shephard, William Ritchie, Christopher Semsarian

Abstract

MicroRNAs (miRNAs) regulate post-transcriptional gene expression during development and disease. We have determined the miRNA expression levels of early- and end-stage hypertrophic cardiomyopathy (HCM) in a severe, transgenic mouse model of the disease. Five miRNAs were differentially expressed at an early stage of HCM development. Time-course analysis revealed that decreased expression of miR-1 and miR-133a commences at a pre-disease stage, and precedes upregulation of target genes causal of cardiac hypertrophy and extracellular matrix remodelling, suggesting a role for miR-1 and miR-133a in early disease development. At end-stage HCM, 16 miRNA are dysregulated to form an expression profile resembling that of other forms of cardiac hypertrophy, suggesting common responses. Analysis of the mRNA transcriptome revealed that miRNAs potentially target 15.7% upregulated and 4.8% downregulated mRNAs at end-stage HCM, and regulate mRNAs associated with cardiac hypertrophy and electrophysiology, calcium signalling, fibrosis, and the TGF-β signalling pathway. Collectively, these results define the miRNA expression signatures during development and progression of severe HCM and highlight critical miRNA regulated gene networks that are involved in disease pathogenesis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 4%
Germany 1 1%
United States 1 1%
Unknown 80 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 26%
Student > Ph. D. Student 17 20%
Student > Postgraduate 8 9%
Student > Bachelor 8 9%
Professor > Associate Professor 5 6%
Other 15 18%
Unknown 10 12%
Readers by discipline Count As %
Medicine and Dentistry 26 31%
Biochemistry, Genetics and Molecular Biology 18 21%
Agricultural and Biological Sciences 18 21%
Computer Science 3 4%
Nursing and Health Professions 1 1%
Other 5 6%
Unknown 14 16%