内化
受体
嵌合抗原受体
化学
细胞生物学
基因传递
合理设计
信使核糖核酸
输送系统
抗体
抗原
T细胞
低密度脂蛋白受体
靶向给药
G蛋白偶联受体
B细胞受体
Jurkat细胞
HEK 293细胞
分子生物学
受体表达
作者
Jianhao Zeng,Tyler E. Papp,Awurama Akyianu,Alejandra Bahena,Lanfranco Leo,Faris Halilovic,Hamideh Parhiz
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2026-01-26
被引量:1
标识
DOI:10.64898/2026.01.23.701374
摘要
Abstract Targeted lipid nanoparticles (tLNPs) enable efficient mRNA delivery to T cells, allowing for in situ generation of chimeric antigen receptor (CAR) T cells without ex vivo manipulation. This strategy has shown promising therapeutical efficacy in preclinical studies of cardiac fibrosis, cancer, and autoimmune diseases. While multiple T-cell surface receptors have been targeted across studies for tLNP-mediated in vivo CAR T-cell generation and exhibit diverse efficiencies, their comparative performance and the mechanisms underlying these differences remain unclear. Here, we systematically compared tLNPs with antibody-based moieties targeting T-cell receptors including CD2, CD4, CD5, CD7, CD8, or a CD4/8 dual-targeting combination under identical conditions, assessing their mRNA delivery efficiency in human T cells and PBMCs in vitro , and subsequently validating the best performer in vivo in humanized mice. Among all moieties tested, CD7-targeting tLNPs achieved the highest mRNA delivery to T cells and efficiently generated functional CAR T cells in vivo . Mechanistic analysis revealed that receptor internalization, rather than the receptor abundance, is the primary determinant of delivery efficiency, a property intrinsic to each receptor and largely independent of antibody clone. These findings provide a rational framework for selecting optimal targeting moiety to enable highly efficient in vivo CAR T-cell engineering. Highlights Targeting CD7 outperforms other receptors for tLNP-mRNA delivery to T cells Receptor abundance does not predict tLNP-mRNA delivery efficiency Receptor internalization kinetics governs tLNP-mRNA delivery efficiency CD7-targeting LNP-mRNA enables efficient in vivo CAR T-cell engineering Graphical Abstract
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