Adrian W. Briggs

This paper uses AI-guided ADAR editing to correct a nonsense mutation in mice, improving Rett syndrome symptoms and extending lifespan.

This paper develops a novel U7 snRNA scaffold that significantly enhances ADAR-mediated RNA base editing in vitro and in vivo, achieving up to 76% editing efficiency in mouse models.

This paper develops DeepREAD, a generative model for designing ADAR guide RNAs to enable efficient and specific RNA editing for therapeutic applications.

The paper analyzes TCR {beta} chain pairing in human T-cells to determine its role in CD4+ and CD8+ lineage specification, finding that {beta} chain pairs are more informative than individual chains for lineage prediction.

This study uses single-cell sequencing to analyze T cell receptor pairing, finding non-random β chain associations and public clone sharing, which reduce T cell repertoire diversity.