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A. Moretti

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#gene editing Sep 2026

Development of an AAV-Encoded Adenine Base Editor for Duchenne Muscular Dystrophy.

Duchenne muscular dystrophy (DMD) is a devastating X-linked disorder caused by out-of-frame mutations in the DMD gene, most commonly large deletions or duplications, as well as nonsense and splice site mutations, that result in the absence of functional dystrophin protein. These mutations lead to progressive skeletal and cardiac muscle failure. In particular, exon 52 of the DMD gene represents a mutational hotspot in DMD patients. Deletion of exon 52 ( DMD Δ52) disrupts the reading frame, leading to premature termination of translation. Here, we used a dual recombinant adeno-associated virus (rAAV) system employing an intein-mediated split strategy to deliver ABE8e using the PAM-less SpRY Cas9 nickase for adenine base editing of splice acceptor sites (SAS) in the dystrophin gene. Targeting the SAS of exon 51 or exon 53 in a DMD Δ52 background aims to induce exon skipping, thereby restoring the open reading frame, in effect converting the severe DMD phenotype into a milder Becker muscular dystrophy (BMD)-like phenotype. We systematically screened sgRNAs in porcine kidney fibroblasts and human embryonic kidney cells (HEK293T), identifying a guide RNA targeting the SAS of exon 53 as the most effective candidate with high on-target editing efficacies and minimal bystander editing. In human DMDΔ52 iPSC-derived cardiomyocytes cultivated as 2D monolayers, high editing efficiencies were achieved with the optimized 1:2 ratio of N-Terminus to C-Terminus. Functional assessment in 3D engineered heart patches revealed a trend toward normalization of the arrhythmic DMD phenotype with an increase in the effective refractory period (ERP) and a reduction in arrhythmic load compared with untreated DMD patches, despite lower editing efficacy in the 3D setting. These findings suggest that even modest levels of base editing-mediated exon skipping may ameliorate the DMD cardiac phenotype toward a BMD-like state, supporting the translational potential of this dual rAAV base editing approach for DMD cardiomyopathy.

Ina Luksch, Christine M. Poch, Aylin Mayer et al. · 0 citations
#gene editing Open access Sep 2026

Creating bottom-up RNA transfer vehicles from synthetic protein assemblies.

Evolution guides biological systems to populate ecological niches, with viruses among the most successful examples of this principle. Viruses evolved over billions of years to efficiently transfer genetic information. Although viruses are highly diverse, most have converged towards remarkable similarity in the size and shape of their capsids1,2. By contrast, generative models for protein design enable the creation of protein architectures that are absent from nature3-5. Here we investigate whether protein assemblies designed by artificial intelligence can be functionalized to construct nucleic acid transport vehicles that are independent of evolutionary trajectories. By combining natural protein domains with synthetic protein assemblies, we create more than 100 bottom-up RNA transfer vehicles with unique sizes and shapes. These vehicles surpass the RNA transfer efficiency of widely used delivery vehicles by several orders of magnitude. In addition, we demonstrate that their tropism can be programmed by incorporation of computationally designed peptide binders and use them to deliver therapeutically relevant cargo RNAs into a wide range of cellular models. We show the in vivo biodistribution of one of these vehicles in a mouse at near-single-cell resolution, confirm its safety, and use it to perform a gene-editing treatment strategy for Duchenne muscular dystrophy in patient-derived cells and a pig. Our work demonstrates how proteins created by generative artificial intelligence can be harnessed for the rational engineering of RNA transport systems with the desired properties by overcoming the limitations of natural protein diversity.

Maren Kirstin Schuhmacher, Christoph Gruber, Christopher M. R. Lang et al. · 1 citation

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