Ziying Yan

Abstract CRISPR-based gene editing holds promise for treating genetic diseases, yet its application to lung disorders has been hindered by the challenges of pulmonary delivery. Inspired by the modularity and biocompatibility of amino acid-derived chemistries, we report the combinatorial synthesis of 960 ionizable lipids incorporating chemically diverse backbones from both proteinogenic and non-proteinogenic α-amino acids.

Abstract Ionizable lipids are a key component of lipid nanoparticles, the leading nonviral messenger RNA delivery technology. Here, to advance the identification of ionizable lipids beyond current methods, which rely on experimental screening and/or rational design, we introduce lipid optimization using neural networks, a deep-learning strategy for ionizable lipid design.

Abstract Speciation leads to adaptive changes in organ cellular physiology and creates challenges for studying rare cell-type functions that diverge between humans and mice. Rare cystic fibrosis transmembrane conductance regulator (CFTR)-rich pulmonary ionocytes exist throughout the cartilaginous airways of humans1,2, but limited presence and divergent biology in the proximal trachea of mice has prevented the use of traditional transgenic models to elucidate ionocyte functions in the airway.