Customizable mRNA Lipid Nanoparticles for Transfection of Primary Human T Cells

A central goal of genetic therapies, including RNA-based medicines, is to develop vectors that enable clinical translation for the treatment of specific cell types. T cells provide a unique opportunity for genetic medicines, particularly in their relevance to CAR-T cell therapies, autoimmune diseases, and vaccines. However, T cells are notoriously difficult to transfect, and many RNA delivery vectors are designed with model systems that may not reflect true T cell morphology, compounding the difficulty in isolating trends in particle properties that promote efficacy. Here, we use primary human T cell populations and leverage design of experiment to optimize a lipid nanoparticle (LNP)-based delivery vector for genetic therapies in T cells. In doing so, we discern key trends in LNP composition that promote better efficacy in both the uptake and expression of mRNA, namely, that high cholesterol and low polyethylene glycol (PEG) compositions aid in the efficacy of the LNPs. Informed by these trends, our novel <b>T</b> cell RNA <b>E</b>xpression and <b>A</b>ctivity (TEA) LNP platform represents a strategy for transfection of primary human T cells. These TEA LNPs are investigated for their mechanism of efficacy, synergy with clinically relevant latency reversal agents, and T cell subtype affinity. Taken collectively, we not only highlight key trends in formulation design for T cells and provide a platform optimized for human T cells, but also more broadly highlight the value in leveraging genetic therapies for the treatment of disease.

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Publication Details

Journal
ACS Nano
Published
2025-11-25
DOI
https://doi.org/10.1021/acsnano.5c15903
Primary Topic
RNA Interference and Gene Delivery
Type
article
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article

Customizable mRNA Lipid Nanoparticles for Transfection of Primary Human T Cells

Owen S. Fenton, Edward P. Browne, Joel R. Huff, Eshan A. Narasipura et al.
ACS Nano
RNA Interference and Gene Delivery
article

Customizable mRNA Lipid Nanoparticles for Transfection of Primary Human T Cells

Owen S. Fenton, Edward P. Browne, Joel R. Huff, Eshan A. Narasipura, Rachel VanKeulen‐Miller
article en

Abstract

A central goal of genetic therapies, including RNA-based medicines, is to develop vectors that enable clinical translation for the treatment of specific cell types. T cells provide a unique opportunity for genetic medicines, particularly in their relevance to CAR-T cell therapies, autoimmune diseases, and vaccines. However, T cells are notoriously difficult to transfect, and many RNA delivery vectors are designed with model systems that may not reflect true T cell morphology, compounding the difficulty in isolating trends in particle properties that promote efficacy. Here, we use primary human T cell populations and leverage design of experiment to optimize a lipid nanoparticle (LNP)-based delivery vector for genetic therapies in T cells. In doing so, we discern key trends in LNP composition that promote better efficacy in both the uptake and expression of mRNA, namely, that high cholesterol and low polyethylene glycol (PEG) compositions aid in the efficacy of the LNPs. Informed by these trends, our novel <b>T</b> cell RNA <b>E</b>xpression and <b>A</b>ctivity (TEA) LNP platform represents a strategy for transfection of primary human T cells. These TEA LNPs are investigated for their mechanism of efficacy, synergy with clinically relevant latency reversal agents, and T cell subtype affinity. Taken collectively, we not only highlight key trends in formulation design for T cells and provide a platform optimized for human T cells, but also more broadly highlight the value in leveraging genetic therapies for the treatment of disease.

ACS NanoVol. 19(49)
University of North Carolina at Chapel Hill (US), Office of Infectious Diseases (US), Pharmac (NZ)
Openalex Percentile: Top 67%
RNA Interference and Gene Delivery
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Customizable mRNA Lipid Nanoparticles for Transfection of Primary Human T Cells — Owen S. Fenton, Edward P. Browne, et al. · ACS Nano (2025) | TGRS Research Map | TGRS