The transcriptome is subject to multiple changes during pathogenesis, including the use of alternate 5′ start-sites that can affect transcription levels and output. Current RNA sequencing techniques can assess mRNA levels, but do not robustly detect changes in 5′ start-site use. Here, we developed a transcriptome sequencing strategy that detects genome-wide changes in start-site usage (5′RNA-Seq) and applied this methodology to identify regulatory events that occur in hypertrophic cardiomyopathy (HCM). Compared with transcripts from WT mice, 92 genes had altered start-site usage in a mouse model of HCM, including four-and-a-half LIM domains protein 1 (
Danos C. Christodoulou, Hiroko Wakimoto, Kenji Onoue, Seda Eminaga, Joshua M. Gorham, Steve R. DePalma, Daniel S. Herman, Polakit Teekakirikul, David A. Conner, David M. McKean, Andrea A. Domenighetti, Anton Aboukhalil, Stephen Chang, Gyan Srivastava, Barbara McDonough, Philip L. De Jager, Ju Chen, Martha L. Bulyk, Jochen D. Muehlschlegel, Christine E. Seidman, J.G. Seidman
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