A high-throughput Galectin-9 imaging assay for quantifying nanoparticle uptake, endosomal escape and functional RNA delivery.
A high-throughput Galectin-9 imaging assay for quantifying nanoparticle uptake, endosomal escape and functional RNA delivery.
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用于定量纳米颗粒摄取、内体逃逸和功能性RNA递送的高通量半乳糖凝集素-9成像测定。
DOI:
10.1038/s42003-021-01728-8
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发表时间:
2021-02-16
影响因子:
5.9
通讯作者:
Sabirsh A
中科院分区:
文献类型:
--
作者:
Munson MJ;O'Driscoll G;Silva AM;Lázaro-Ibáñez E;Gallud A;Wilson JT;Collén A;Esbjörner EK;Sabirsh A
RNA-based therapies have great potential to treat many undruggable human diseases. However, their efficacy, in particular for mRNA, remains hampered by poor cellular delivery and limited endosomal escape. Development and optimisation of delivery vectors, such as lipid nanoparticles (LNPs), are impeded by limited screening methods to probe the intracellular processing of LNPs in sufficient detail. We have developed a high-throughput imaging-based endosomal escape assay utilising a Galectin-9 reporter and fluorescently labelled mRNA to probe correlations between nanoparticle-mediated uptake, endosomal escape frequency, and mRNA translation. Furthermore, this assay has been integrated within a screening platform for optimisation of lipid nanoparticle formulations. We show that Galectin-9 recruitment is a robust, quantitative reporter of endosomal escape events induced by different mRNA delivery nanoparticles and small molecules. We identify nanoparticles with superior escape properties and demonstrate cell line variances in endosomal escape response, highlighting the need for fine-tuning of delivery formulations for specific applications. Munson et al. develop a high-throughput Galectin-9 reporter based endosomal escape imaging assay to probe correlations between nanoparticle-mediated uptake, endosomal escape frequency, and mRNA translation. By screening various delivery systems, modulators and combinations of nanoparticle components, the authors demonstrate how nanomedicines can be optimized for superior escape properties and efficacy in specific applications.
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DOI:
10.1126/science.aag1417
发表时间:
2017-03-24
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Castellano BM;Thelen AM;Moldavski O;Feltes M;van der Welle RE;Mydock-McGrane L;Jiang X;van Eijkeren RJ;Davis OB;Louie SM;Perera RM;Covey DF;Nomura DK;Ory DS;Zoncu R
通讯作者:
Zoncu R
影响因子:
46.9
作者:
Gilleron, Jerome;Querbes, William;Zerial, Marino
通讯作者:
Zerial, Marino
影响因子:
10.8
作者:
Kauffman, Kevin J.;Dorkin, J. Robert;Anderson, Daniel G.
通讯作者:
Anderson, Daniel G.
影响因子:
17.1
作者:
Joshi, Bhagyashree S.;de Beer, Marit A.;Zuhorn, Inge S.
通讯作者:
Zuhorn, Inge S.
影响因子:
4.3
作者:
Nishi, Nozomu;Itoh, Aiko;Nakamura, Takanori
通讯作者:
Nakamura, Takanori