ArticleHGG advances2026
Investigating and correcting a rare pathogenic mutation in GDF11.
Article in HGG advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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10 authors.
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Abstract
Single-nucleotide variants (SNVs) and small insertions or deletions (indels) underlie most rare monogenic disorders, yet therapeutic strategies to precisely correct these mutations remain limited. Prime editing enables the repair of such pathogenic variants without introducing double-stranded breaks. Here, we applied CRISPR prime editing to model and correct a de novo GDF11 nonsense mutation (Tyr336∗) identified in a participant from the Undiagnosed Diseases Network with growth delay and multisystem abnormalities. Using HEK293T cells, we generated heterozygous (HET) GDF11 Tyr336∗ clones, which exhibited reduced GDF11 protein levels due to post-translational degradation likely mediated by endoplasmic reticulum- and Golgi-associated quality control pathways. These cells displayed marked Golgi abnormalities, including an increased number of compact, irregularly shaped Golgi structures, findings consistent with Golgi fragmentation and stress. Transcriptomic profiling of HET cells revealed a broad dysregulation of gene networks, including downregulation of metabolic and Golgi-linked biosynthetic genes, and upregulation of cell-adhesion and extracellular matrix genes. These transcriptional shifts paralleled the participant's developmental, neural, and cardiovascular phenotypes. To correct the mutation, we tested multiple bespoke prime editing strategies and identified PE7, in combination with a prime editing guide RNA designed by Pridict, as the most effective ribonucleoprotein complex for rescue. Editing efficiency was further enhanced by introducing an additional silent protospacer-adjacent motif-disrupting mutation, likely preventing both Cas9 re-binding and mismatch repair. Together, these findings support a haploinsufficiency mechanism for the GDF11 Tyr336∗ allele and establish a generalizable framework for disease modeling and allele-specific correction of pathogenic variants in human cells.
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