TY - JOUR
AU - Baeza-Centurión, Pablo
AU - Miñana, Belén
AU - Faure, Andre J
AU - Thompson, Mike
AU - Bonnal, Sophie
AU - Quarantani, Gioia
AU - Clarke, Joseph
AU - Lehner, Ben
AU - Valcárcel, Juan
TI - Deep indel mutagenesis reveals the regulatory and modulatory architecture of alternative exon splicing.
JO - Nature Communications
VL - 16
IS - 1
SN - 2041-1723
CY - [London]
PB - Springer Nature
M1 - DKFZ-2025-01812
SP - 8117
PY - 2025
N1 - Pablo Baeza-Centurión
AB - 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.
KW - Exons: genetics
KW - Humans
KW - Alternative Splicing: genetics
KW - INDEL Mutation: genetics
KW - Oligonucleotides, Antisense: genetics
KW - Mutagenesis
KW - Deep Learning
KW - RNA Precursors: genetics
KW - Oligonucleotides, Antisense (NLM Chemicals)
KW - RNA Precursors (NLM Chemicals)
LB - PUB:(DE-HGF)16
C6 - pmid:40885722
DO - DOI:10.1038/s41467-025-62957-7
UR - https://inrepo02.dkfz.de/record/304271
ER -