DOAJ (DOAJ: Directory of Open Access Journals)Molecular BiologyPeer-reviewed journal article
Specificity and exon target space of splicing modifying compounds
Felina LenkeitiD, Judith KnehriD, Marc AltorferiD, Andrea Byrnes, Wenjing Li, Jack Hsiao, Connie Wu, Priti V. Gaitonde, Philip R. Skaanderup, Steve Mullin, Elizaveta M. SolovyevaiD, Michal Pikusa, Andrew T. Krueger, Johannes OttliD, Caroline Gubser KelleriD, Christian KolteriD, Ulrike NaumanniD, Philipp OttisiD, Alejandro ReyesiD
Abstract
Modulation of splicing has become an established therapeutic strategy, with proven clinical applications and continued potential to target specific exons to influence gene expression. Recent advancements led to the identification of small molecule splicing modifiers such as Risdiplam and Branaplam. These compounds induce the inclusion of exons that are typically skipped due to their weak 5' splice site. While Risdiplam has a preference to induce exons with a N-3G-2A-1 sequence at the 3' exon end, Branaplam has a proclivity towards introducing A-3G-2A-1 -ending exons. However, the variables that determine the selectivity and specificity of splicing modulators are still not completely understood, as evidenced by the hundreds of unaffected N-3G-2A-1 -ending exons present in the human genome. In this study, we delve into the molecular mechanisms governing the specificity of splicing-modifying compounds, focusing on their interactions with RNA structures at splice sites. Using biochemical assays, whole transcriptome analyses, and genetic perturbation approaches, our findings reveal contributions of primary sequence codependencies that help determine the required secondary structural conformation, thus governing responsiveness to splicing modulator induction. Based on these learnings, we were able to reprogram the specificity of splicing modulators by genetic manipulation of the U1 snRNA component of the spliceosome. Our findings further the understanding of splicing modulators and might help to identify new targets and compounds.
- organism: human
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 40th percentile
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