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Myocardial Alternative RNA Splicing and Gene Expression Profiling in Early Stage Hypoplastic Left Heart Syndrome

Overview of attention for article published in PLOS ONE, January 2012
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Title
Myocardial Alternative RNA Splicing and Gene Expression Profiling in Early Stage Hypoplastic Left Heart Syndrome
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0029784
Pubmed ID
Authors

Marco Ricci, Yanji Xu, Harriet L. Hammond, David A. Willoughby, Lubov Nathanson, Maria M. Rodriguez, Matteo Vatta, Steven E. Lipshultz, Joy Lincoln

Abstract

Hypoplastic Left Heart Syndrome (HLHS) is a congenital defect characterized by underdevelopment of the left ventricle and pathological compensation of the right ventricle. If untreated, HLHS is invariably lethal due to the extensive increase in right ventricular workload and eventual failure. Despite the clinical significance, little is known about the molecular pathobiological state of HLHS. Splicing of mRNA transcripts is an important regulatory mechanism of gene expression. Tissue specific alterations of this process have been associated with several cardiac diseases, however, transcriptional signature profiles related to HLHS are unknown. In this study, we performed genome-wide exon array analysis to determine differentially expressed genes and alternatively spliced transcripts in the right ventricle (RV) of six neonates with HLHS, compared to the RV and left ventricle (LV) from non-diseased control subjects. In HLHS, over 180 genes were differentially expressed and 1800 were differentially spliced, leading to changes in a variety of biological processes involving cell metabolism, cytoskeleton, and cell adherence. Additional hierarchical clustering analysis revealed that differential gene expression and mRNA splicing patterns identified in HLHS are unique compared to non-diseased tissue. Our findings suggest that gene expression and mRNA splicing are broadly dysregulated in the RV myocardium of HLHS neonates. In addition, our analysis identified transcriptome profiles representative of molecular biomarkers of HLHS that could be used in the future for diagnostic and prognostic stratification to improve patient outcome.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Ph. D. Student 6 13%
Professor > Associate Professor 5 11%
Student > Bachelor 5 11%
Student > Doctoral Student 4 9%
Other 10 21%
Unknown 6 13%
Readers by discipline Count As %
Medicine and Dentistry 15 32%
Agricultural and Biological Sciences 14 30%
Biochemistry, Genetics and Molecular Biology 5 11%
Engineering 3 6%
Arts and Humanities 1 2%
Other 1 2%
Unknown 8 17%