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Genomics Proteomics Bioinformatics. 2016 Aug;14(4):216-23. doi: 10.1016/j.gpb.2016.02.003. Epub 2016 Apr 27.

Profiling and Validation of the Circular RNA Repertoire in Adult Murine Hearts.

Author information

1
Section of Bioinformatics and Systems Cardiology, Department of Internal Medicine III, University Hospital Heidelberg, 69120 Heidelberg, Germany; German Centre for Cardiovascular Research (DZHK), Heidelberg/Mannheim, Germany. Electronic address: tobias.jakobi@med.uni-heidelberg.de.
2
Max Planck-Genome-Centre Cologne, 50829 Cologne, Germany.
3
Section of Bioinformatics and Systems Cardiology, Department of Internal Medicine III, University Hospital Heidelberg, 69120 Heidelberg, Germany; German Centre for Cardiovascular Research (DZHK), Heidelberg/Mannheim, Germany.

Abstract

For several decades, cardiovascular disease has been the leading cause of death throughout all countries. There is a strong genetic component to many disease subtypes (e.g., cardiomyopathy) and we are just beginning to understand the relevant genetic factors. Several studies have related RNA splicing to cardiovascular disease and circular RNAs (circRNAs) are an emerging player. circRNAs, which originate through back-splicing events from primary transcripts, are resistant to exonucleases and typically not polyadenylated. Initial functional studies show clear phenotypic outcomes for selected circRNAs. We provide, for the first time, a comprehensive catalogue of RNase R-resistant circRNA species for the adult murine heart. This work combines state-of-the-art circle sequencing with our novel DCC software to explore the circRNA landscape of heart tissue. Overall, we identified 575 circRNA species that pass a beta-binomial test for enrichment (false discovery rate of 1%) in the exonuclease-treated sequencing sample. Several circRNAs can be directly attributed to host genes that have been previously described as associated with cardiovascular disease. Further studies of these candidate circRNAs may reveal disease-relevant properties or functions of specific circRNAs.

KEYWORDS:

Cardiomyopathy; Cardiovascular disease; Circular RNA; Computational cardiology; circSeq

PMID:
27132142
PMCID:
PMC4996846
DOI:
10.1016/j.gpb.2016.02.003
[Indexed for MEDLINE]
Free PMC Article

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