Deep indel mutagenesis reveals the regulatory and modulatory architecture of alternative exon splicing

While altered pre-mRNA splicing is a frequent mechanism by which genetic variants cause disease, the regulatory architecture of human exons remains poorly understood. Antisense oligonucleotides (AONs) that target pre-mRNA splicing have been approved as therapeutics for various pathologies including patient-customised treatments for rare diseases, but AON discovery is currently slow and expensive, limiting the wider adoption of the approach. Here we show that deep indel mutagenesis (DIM) -which can be made experimentally at very low cost - provides an efficient strategy to chart the regulatory landscape of human exons and rapidly identify candidate splicing-modulating oligonucleotides. DIM reveals autonomous effects of insertions, while systematic deletion scans delineate the checkerboard architecture of sequential enhancers and silencers in a model alternative exon. The results also suggest a mechanism for repression of transmembrane domain-encoding exons and for the generation of microexons. Leveraging deep learning tools, we provide a resource, DANGO, that predicts the splicing regulatory landscape of all human exons and can help to identify effective splicing-modulating antisense oligonucleotides.

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Publication Details

Journal
Nature Communications
Published
2025-08-30
DOI
https://doi.org/10.1038/s41467-025-62957-7
Citations
1
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
0.81

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article

Deep indel mutagenesis reveals the regulatory and modulatory architecture of alternative exon splicing

Juan Valcárcel, Michael Thompson, Pablo Baeza-Centurión, André J. Faure et al.
1 citations
Nature Communications
RNA Research and Splicing
0.81
article

Deep indel mutagenesis reveals the regulatory and modulatory architecture of alternative exon splicing

Juan Valcárcel, Michael Thompson, Pablo Baeza-Centurión, André J. Faure, Joseph Clarke, Sophie Bonnal, Belén Miñana, Gioia Quarantani
article en
1 citations

Abstract

While altered pre-mRNA splicing is a frequent mechanism by which genetic variants cause disease, the regulatory architecture of human exons remains poorly understood. Antisense oligonucleotides (AONs) that target pre-mRNA splicing have been approved as therapeutics for various pathologies including patient-customised treatments for rare diseases, but AON discovery is currently slow and expensive, limiting the wider adoption of the approach. Here we show that deep indel mutagenesis (DIM) -which can be made experimentally at very low cost - provides an efficient strategy to chart the regulatory landscape of human exons and rapidly identify candidate splicing-modulating oligonucleotides. DIM reveals autonomous effects of insertions, while systematic deletion scans delineate the checkerboard architecture of sequential enhancers and silencers in a model alternative exon. The results also suggest a mechanism for repression of transmembrane domain-encoding exons and for the generation of microexons. Leveraging deep learning tools, we provide a resource, DANGO, that predicts the splicing regulatory landscape of all human exons and can help to identify effective splicing-modulating antisense oligonucleotides.

Nature CommunicationsVol. 16(1)
Institució Catalana de Recerca i Estudis Avançats (ES), Universitat Pompeu Fabra (ES), German Cancer Research Center (DE), Heidelberg University (DE), University of Cambridge (GB), Wellcome Sanger Institute (GB), Centre for Genomic Regulation (ES)
Centres de Recerca de Catalunya, European Commission, AXA Research Fund, Generalitat de Catalunya, Ministerio de Ciencia e Innovación, Fondation Bettencourt Schueller, National Institutes of Health, Directorate for Biological Sciences, HORIZON EUROPE Framework Programme, Biotechnology and Biological Sciences Research Council, Agència de Gestió d'Ajuts Universitaris i de Recerca, Agencia Estatal de Investigación, National Heart, Lung, and Blood Institute, National Institute of Mental Health, National Institute on Drug Abuse, National Human Genome Research Institute, NIH Office of the Director, National Cancer Institute, National Institute of Neurological Disorders and Stroke, Common Fund
Openalex Percentile: Top 24%
RNA Research and Splicing
0.81
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