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The power of imaging to understand extracellular vesicle biology in vivo

Frederik J Verweij 1, 2 Leonora Balaj 3, 4 Chantal M Boulanger 5 David R F Carter 6, 7 Ewoud B Compeer 8 Gisela D’angelo 9 Samir El Andaloussi 7, 10 Jacky G Goetz 11 Julia Christina Gross 12 Vincent Hyenne 11, 13 Eva-Maria Krämer-Albers 14 Charles P Lai 15 Xavier Loyer 5 Alex Marki 16 Stefan Momma 17 Esther Nolte-‘t Hoen 18 D. Michiel Pegtel 19 Hector Peinado 20 Graça Raposo 9 Kirsi Rilla 21 Hidetoshi Tahara 22 Clotilde Théry 23 Martin E van Royen 24 Roosmarijn Vandenbroucke 25 Ann M Wehman 26 Kenneth Witwer 27 Zhiwei Wu 28, 29 Richard Wubbolts 18 Guillaume van Niel 1, 2 
Abstract : Extracellular vesicles (EVs) are nano-sized lipid bilayer vesicles released by virtually every cell type. EVs have diverse biological activities, ranging from roles in development and homeostasis to cancer progression, which has spurred the development of EVs as disease biomarkers and drug nanovehicles. Owing to the small size of EVs, however, most studies have relied on isolation and biochemical analysis of bulk EVs separated from biofluids. Although informative, these approaches do not capture the dynamics of EV release, biodistribution, and other contributions to pathophysiology. Recent advances in live and high-resolution microscopy techniques, combined with innovative EV labeling strategies and reporter systems, provide new tools to study EVs in vivo in their physiological environment and at the single-vesicle level. Here we critically review the latest advances and challenges in EV imaging, and identify urgent, outstanding questions in our quest to unravel EV biology and therapeutic applications.
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Submitted on : Wednesday, September 29, 2021 - 10:52:21 AM
Last modification on : Friday, August 5, 2022 - 11:56:27 AM
Long-term archiving on: : Thursday, December 30, 2021 - 6:42:09 PM


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Frederik J Verweij, Leonora Balaj, Chantal M Boulanger, David R F Carter, Ewoud B Compeer, et al.. The power of imaging to understand extracellular vesicle biology in vivo. Nature Methods, Nature Publishing Group, 2021, 18 (9), pp.1013-1026. ⟨10.1038/s41592-021-01206-3⟩. ⟨inserm-03358087⟩



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