A multistep platform identifies spleen-tropic lipid nanoparticles for in vivo T cell–targeted delivery of gene-editing proteins
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.
Authors
- Yining Zhu (ORCID: https://orcid.org/0000-0002-7178-0097)
- Hai‐Quan Mao (ORCID: https://orcid.org/0000-0002-4262-9988)
- Xiangyu Gao
- Xiang Liu
- Yunhe Su
- Jiayuan Kong (ORCID: https://orcid.org/0000-0002-5368-8940)
- Leonardo Cheng (ORCID: https://orcid.org/0000-0002-9214-8533)
- Yunming Long
- Jingyao Ma (ORCID: https://orcid.org/0009-0003-8848-7502)
- Jia-You Lin
- Xiaoya Lu (ORCID: https://orcid.org/0009-0009-1588-1772)
- Christine Wei (ORCID: https://orcid.org/0009-0005-0831-6813)
- Di Yu
- Kailei D. Goodier
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
Publication Details
- Journal
- Science Advances
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1126/sciadv.ady5579
- Citations
- 3
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 2.42