Yue Jiang

Rett syndrome lifespan extension in mice via AI-guided ADAR editing

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

Helix: a structure-aware deep learning model for accurate prediction of A-to-I RNA editing by endogenous ADARs

Helix predicts A-to-I RNA editing by ADARs with high accuracy using a structure-aware transformer model, enabling efficient gRNA design for therapeutic applications.

A Novel Engineered U7 Small Nuclear RNA Scaffold Greatly Increases in vitro and in vivo ADAR-Mediated Programmable RNA Base Editing

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.

Generative machine learning of ADAR substrates for precise and efficient RNA editing

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

High-throughput mapping of meiotic crossover and chromosome mis-segregation events in interspecific hybrid mice

The paper develops sci-LIANTI, a single-cell DNA sequencing method, to map meiotic crossovers and chromosome mis-segregation in hybrid mice, finding frequent mitotic segregation during meiosis.

Single-cell sequencing reveals αβ chain pairing shapes the T cell repertoire

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.