ArticleScience advances2025
A multistep platform identifies spleen-tropic lipid nanoparticles for in vivo T cell-targeted delivery of gene-editing proteins.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Cytokine co-presentation on targeted lipid nanoparticles enhances in vivo T cell engineering.Biomaterials · 2027Article
- Advances in improving cancer immunotherapy with nanotechnology: from smart nanoparticles to synergistic combination strategies.Molecular cancer · 2026Review
- Emerging strategies to reduce the side effects of CAR-T cell therapy: focusing on gene editing and nanotechnology.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Review
- Review
- Targeted delivery platforms forFrontiers in pharmacology · 2026Review
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.