Thinking Quantitatively of RNA-Based Information Transfer via Extracellular Vesicles: Lessons to Learn for the Design of RNA-Loaded EVs

Extracellular vesicles (EVs) are 50–1000 nm vesicles secreted by virtually any cell type in the body. They are expected to transfer information from one cell or tissue to another in a short- or long-distance way. RNA-based transfer of information via EVs at long distances is an interesting well-worn...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Max Piffoux, Jeanne Volatron, Amanda K. A. Silva, Florence Gazeau
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	extracellular vesicles exosome RNA miRNA mechanism of action engineering Pharmacy and materia medica RS1-441
Acceso en línea:	https://doaj.org/article/773a07cf078f4bd9add82cf1964b57b9
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:773a07cf078f4bd9add82cf1964b57b9
record_format	dspace
spelling	oai:doaj.org-article:773a07cf078f4bd9add82cf1964b57b92021-11-25T18:42:01ZThinking Quantitatively of RNA-Based Information Transfer via Extracellular Vesicles: Lessons to Learn for the Design of RNA-Loaded EVs10.3390/pharmaceutics131119311999-4923https://doaj.org/article/773a07cf078f4bd9add82cf1964b57b92021-11-01T00:00:00Zhttps://www.mdpi.com/1999-4923/13/11/1931https://doaj.org/toc/1999-4923Extracellular vesicles (EVs) are 50–1000 nm vesicles secreted by virtually any cell type in the body. They are expected to transfer information from one cell or tissue to another in a short- or long-distance way. RNA-based transfer of information via EVs at long distances is an interesting well-worn hypothesis which is ~15 years old. We review from a quantitative point of view the different facets of this hypothesis, ranging from natural RNA loading in EVs, EV pharmacokinetic modeling, EV targeting, endosomal escape and RNA delivery efficiency. Despite the unique intracellular delivery properties endowed by EVs, we show that the transfer of RNA naturally present in EVs might be limited in a physiological context and discuss the lessons we can learn from this example to design efficient RNA-loaded engineered EVs for biotherapies. We also discuss other potential EV mediated information transfer mechanisms, among which are ligand–receptor mechanisms.Max PiffouxJeanne VolatronAmanda K. A. SilvaFlorence GazeauMDPI AGarticleextracellular vesiclesexosomeRNAmiRNAmechanism of actionengineeringPharmacy and materia medicaRS1-441ENPharmaceutics, Vol 13, Iss 1931, p 1931 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	extracellular vesicles exosome RNA miRNA mechanism of action engineering Pharmacy and materia medica RS1-441
spellingShingle	extracellular vesicles exosome RNA miRNA mechanism of action engineering Pharmacy and materia medica RS1-441 Max Piffoux Jeanne Volatron Amanda K. A. Silva Florence Gazeau Thinking Quantitatively of RNA-Based Information Transfer via Extracellular Vesicles: Lessons to Learn for the Design of RNA-Loaded EVs
description	Extracellular vesicles (EVs) are 50–1000 nm vesicles secreted by virtually any cell type in the body. They are expected to transfer information from one cell or tissue to another in a short- or long-distance way. RNA-based transfer of information via EVs at long distances is an interesting well-worn hypothesis which is ~15 years old. We review from a quantitative point of view the different facets of this hypothesis, ranging from natural RNA loading in EVs, EV pharmacokinetic modeling, EV targeting, endosomal escape and RNA delivery efficiency. Despite the unique intracellular delivery properties endowed by EVs, we show that the transfer of RNA naturally present in EVs might be limited in a physiological context and discuss the lessons we can learn from this example to design efficient RNA-loaded engineered EVs for biotherapies. We also discuss other potential EV mediated information transfer mechanisms, among which are ligand–receptor mechanisms.
format	article
author	Max Piffoux Jeanne Volatron Amanda K. A. Silva Florence Gazeau
author_facet	Max Piffoux Jeanne Volatron Amanda K. A. Silva Florence Gazeau
author_sort	Max Piffoux
title	Thinking Quantitatively of RNA-Based Information Transfer via Extracellular Vesicles: Lessons to Learn for the Design of RNA-Loaded EVs
title_short	Thinking Quantitatively of RNA-Based Information Transfer via Extracellular Vesicles: Lessons to Learn for the Design of RNA-Loaded EVs
title_full	Thinking Quantitatively of RNA-Based Information Transfer via Extracellular Vesicles: Lessons to Learn for the Design of RNA-Loaded EVs
title_fullStr	Thinking Quantitatively of RNA-Based Information Transfer via Extracellular Vesicles: Lessons to Learn for the Design of RNA-Loaded EVs
title_full_unstemmed	Thinking Quantitatively of RNA-Based Information Transfer via Extracellular Vesicles: Lessons to Learn for the Design of RNA-Loaded EVs
title_sort	thinking quantitatively of rna-based information transfer via extracellular vesicles: lessons to learn for the design of rna-loaded evs
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/773a07cf078f4bd9add82cf1964b57b9
work_keys_str_mv	AT maxpiffoux thinkingquantitativelyofrnabasedinformationtransferviaextracellularvesicleslessonstolearnforthedesignofrnaloadedevs AT jeannevolatron thinkingquantitativelyofrnabasedinformationtransferviaextracellularvesicleslessonstolearnforthedesignofrnaloadedevs AT amandakasilva thinkingquantitativelyofrnabasedinformationtransferviaextracellularvesicleslessonstolearnforthedesignofrnaloadedevs AT florencegazeau thinkingquantitativelyofrnabasedinformationtransferviaextracellularvesicleslessonstolearnforthedesignofrnaloadedevs
_version_	1718410780497412096

Thinking Quantitatively of RNA-Based Information Transfer via Extracellular Vesicles: Lessons to Learn for the Design of RNA-Loaded EVs

Ejemplares similares