bioRxivBioinformaticsPreprint
PTBP1 promotes cardiac hypertrophy anddiastolic dysfunction by modulating alternativesplicing
Carlos Martí‐GómeziD, Javier Larrasa-Alonso, Marina M. López-Olañeta, María Villalba‐OreroiD, Pablo García‐PavíaiD, Fátima Sánchez‐CaboiD, Enrique Lara‐PezziiD
Abstract
Alternative splicing (AS) plays a major role in the generation of transcript diversity. In the heart, roles have been described for some AS variants and individual regulatory RNA binding proteins (RBPs); however, the global impact and regulation of AS patterns in cardiac pathophysiology is poorly understood. Here, we studied the AS profiles in heart disease, their relationship with heart development and the regulatory mechanisms control-ling AS dynamics in the mouse heart using a total of 136 RNA-seq samples. We found that AS and gene expression changes affect different genes, which are also involved in distinct biological functions. Developmental AS changes were more abundant and had stronger predicted impact on the encoded protein than those taking place during heart disease. However, AS changes in heart disease significantly modified protein interaction patterns and rewire the protein-protein interaction network. Using a database of experimentally determined binding sites of a large collection of RNA binding proteins, we studied the regulatory proteins associated to AS changes in each condition. Computational modelling revealed that developmental transitions were mainly driven by the up-regulation of MBNL1, whereas disease associated AS changes were driven by a more complex regulatory network, characterized by the interaction of different RNA binding proteins, with PTBP1 as the largest individual modulator. In adult mice, PTBP1 over-expression was sufficient to induce cardiac hypertrophy and diastolic dysfunction and significantly alter the AS profile. Overall, our study provides new in-sights into the functional impact of AS patterns in cardiac physiology and how computationally driven hypotheses can help to improve our understanding of RNA regulation and its contribution to heart disease.
- organism: mouse
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 1
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