Xiaoya Lu, Yining Zhu, Christine Wei, Leonardo Cheng, Kailei D. Goodier, Jiayuan Kong, Xiangyu Gao, Di Yu, Xiang Liu, Yuanmuhuang Long, Jinghan Lin, Jingyao Ma, Yunhe Su, Hai‐Quan Mao
Lipid nanoparticles (LNPs) are a promising nonviral delivery system for gene-editing proteins, but optimal formulations remain underexplored. Unlike messenger RNA-based approaches, ribonucleoprotein delivery enables immediate genome editing without relying on endogenous translation. However, intracellular delivery remains a major challenge due to protein size, charge variability, and susceptibility to denaturation and degradation. Here, we present a multistep screening platform to optimize LNP formulations for gene-editing protein delivery, focusing on in vivo T cell targeting. Through in vitro screening of a composition library, we identified top-performing candidates. In vivo screening in Ai9 mice revealed a spleen-tropic LNP formulation that preferentially targets T cells, enabling efficient gene editing in vivo. Using this LNP formulation, we achieved targeted knockout of CCR5 and PD-1 in splenic T cells, supporting potential applications in HIV resistance and cancer immunotherapy. Furthermore, a machine learning-guided mechanistic study revealed key design principles for LNP-based protein delivery, highlighting unexplored opportunities for in vivo genome-editing therapies.