The role of alternative splicing in heart diseases has not been completely elucidated. We aimed to perform a genome-wide splicing analysis and develop a profiling of spliced genes in failing heart. We performed a comprehensive analysis of splicing genes, using both exon array and RNA-Seq. We constructed murine heart failure model induced by transverse aortic constriction for 8 weeks. We then extracted RNA from the hearts and analyzed it using the Mouse Exon 1.0 ST and Miseq V3 kit. Of 17,705 genes, exon array analysis identified 46 genes with significantly changes in the splicing pattern, but not in the gene expression level; 85 genes with changes in the splicing pattern and gene expression level (fold change >2, P<0.05).
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