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Identification of scaffold proteins for improved endogenous engineering of extracellular vesicles
Extracellular vesicles (EVs) are gaining ground as next-generation drug delivery modalities. Genetic fusion of the protein of interest to a scaffold protein with high EV-sorting ability represents a robust cargo loading strategy. To address the paucity of such scaffold proteins, we leverage a simple...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406850/ https://www.ncbi.nlm.nih.gov/pubmed/37550290 http://dx.doi.org/10.1038/s41467-023-40453-0 |
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author | Zheng, Wenyi Rädler, Julia Sork, Helena Niu, Zheyu Roudi, Samantha Bost, Jeremy P. Görgens, André Zhao, Ying Mamand, Doste R. Liang, Xiuming Wiklander, Oscar P. B. Lehto, Taavi Gupta, Dhanu Nordin, Joel Z. EL Andaloussi, Samir |
author_facet | Zheng, Wenyi Rädler, Julia Sork, Helena Niu, Zheyu Roudi, Samantha Bost, Jeremy P. Görgens, André Zhao, Ying Mamand, Doste R. Liang, Xiuming Wiklander, Oscar P. B. Lehto, Taavi Gupta, Dhanu Nordin, Joel Z. EL Andaloussi, Samir |
author_sort | Zheng, Wenyi |
collection | PubMed |
description | Extracellular vesicles (EVs) are gaining ground as next-generation drug delivery modalities. Genetic fusion of the protein of interest to a scaffold protein with high EV-sorting ability represents a robust cargo loading strategy. To address the paucity of such scaffold proteins, we leverage a simple and reliable assay that can distinguish intravesicular cargo proteins from surface- as well as non-vesicular proteins and compare the EV-sorting potential of 244 candidate proteins. We identify 24 proteins with conserved EV-sorting abilities across five types of producer cells. TSPAN2 and TSPAN3 emerge as lead candidates and outperform the well-studied CD63 scaffold. Importantly, these engineered EVs show promise as delivery vehicles in cell cultures and mice as demonstrated by efficient transfer of luminal cargo proteins as well as surface display of different functional entities. The discovery of these scaffolds provides a platform for EV-based engineering. |
format | Online Article Text |
id | pubmed-10406850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104068502023-08-09 Identification of scaffold proteins for improved endogenous engineering of extracellular vesicles Zheng, Wenyi Rädler, Julia Sork, Helena Niu, Zheyu Roudi, Samantha Bost, Jeremy P. Görgens, André Zhao, Ying Mamand, Doste R. Liang, Xiuming Wiklander, Oscar P. B. Lehto, Taavi Gupta, Dhanu Nordin, Joel Z. EL Andaloussi, Samir Nat Commun Article Extracellular vesicles (EVs) are gaining ground as next-generation drug delivery modalities. Genetic fusion of the protein of interest to a scaffold protein with high EV-sorting ability represents a robust cargo loading strategy. To address the paucity of such scaffold proteins, we leverage a simple and reliable assay that can distinguish intravesicular cargo proteins from surface- as well as non-vesicular proteins and compare the EV-sorting potential of 244 candidate proteins. We identify 24 proteins with conserved EV-sorting abilities across five types of producer cells. TSPAN2 and TSPAN3 emerge as lead candidates and outperform the well-studied CD63 scaffold. Importantly, these engineered EVs show promise as delivery vehicles in cell cultures and mice as demonstrated by efficient transfer of luminal cargo proteins as well as surface display of different functional entities. The discovery of these scaffolds provides a platform for EV-based engineering. Nature Publishing Group UK 2023-08-07 /pmc/articles/PMC10406850/ /pubmed/37550290 http://dx.doi.org/10.1038/s41467-023-40453-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zheng, Wenyi Rädler, Julia Sork, Helena Niu, Zheyu Roudi, Samantha Bost, Jeremy P. Görgens, André Zhao, Ying Mamand, Doste R. Liang, Xiuming Wiklander, Oscar P. B. Lehto, Taavi Gupta, Dhanu Nordin, Joel Z. EL Andaloussi, Samir Identification of scaffold proteins for improved endogenous engineering of extracellular vesicles |
title | Identification of scaffold proteins for improved endogenous engineering of extracellular vesicles |
title_full | Identification of scaffold proteins for improved endogenous engineering of extracellular vesicles |
title_fullStr | Identification of scaffold proteins for improved endogenous engineering of extracellular vesicles |
title_full_unstemmed | Identification of scaffold proteins for improved endogenous engineering of extracellular vesicles |
title_short | Identification of scaffold proteins for improved endogenous engineering of extracellular vesicles |
title_sort | identification of scaffold proteins for improved endogenous engineering of extracellular vesicles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406850/ https://www.ncbi.nlm.nih.gov/pubmed/37550290 http://dx.doi.org/10.1038/s41467-023-40453-0 |
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