Cutting-edge microfluidic technology allows detection and sorting of single fluorescent extracellular vesicles
Mickaël CoutyiD, Kimhuong Say, Clément Roux, Evan Lamour, Liam Barry-CarrolliD, Jean-Christophe DelpechiD, Philippe Graindorge, Béatrice ClemenceauiD, S. Bourzeix, Mathias GiraultiD, Guillaume van NieliD
Abstract
Extracellular vesicles (EV) are cell-secreted, nanosized biological particles that are involved in most physiological and pathophysiological processes. Their composition and properties reflect the pathophysiological state of the producing cell, tissue, and organ. Released into biological fluids, they may be used as a potential source of non-invasive biomarkers for diagnosis, prognosis or therapeutic follow-up in several diseases such as cancer. However, despite the development of single-EV analysis technologies, the sorting of EV subpopulations for downstream analysis remains a major challenge. Here, we describe a novel instrument that combines a highly sensitive optical detection system with an advanced lab-on-a-chip device. Using engineered fluorescent small extracellular vesicles (sEV), we demonstrate that the Hekat NanoSorter enables sensitive, scalable, and reproducible detection and sorting of individual sEVs for downstream analysis by cryo-EM. Furthermore, detailed characterization of the sorted EV populations, together with the detection of sEVs labeled with an in vitro pathophysiological marker, demonstrates the ability of the NanoSorter to monitor and enrich clinically relevant EV-associated biomarkers. These findings highlight the clinical potential of extracellular vesicle sorting for their use as biomarkers for therapeutic monitoring and treatment outcome assessment.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Advancing Nano-Flow Cytometry: High-Precision Sorting and Analysis of Extracellular Vesicles
Irene Castrosín, Vanessa Costa, … Margaret M. Mc Gee·bioRxiv·Jul 28, 2026
- Fluorescence-based sorting of extracellular vesicles enables detection and omics
Marta Clos‐Sansalvador, Marta Tortajada, … Marcella Franquesa·bioRxiv·Oct 9, 2026
- Fluorescence Characterization of Extracellular Vesicles using Single-Molecule Confocal Microscopy
Tianxiao Zhao, Noelia Pelegrina‐Hidalgo, … Mathew H. Horrocks·Small MethodsPeer-reviewed·Aug 17, 2025
- Nano-flow cytometry of single extracellular vesicles reveals subpopulation differences across cell types and pharmacological perturbations
Nathalie Névo, Alix Zhou, … Clotilde Théry·Journal of Extracellular VesiclesPeer-reviewed·Apr 1, 2026
- LoAR-Exo and HiAR-Exo: One-step label-free isolation of extracellular vesicles using inertial microfluidic devices
Sourav Acharya, Moein Talebian Gevari, … Debjani Paul·bioRxiv·Oct 10, 2025
- Machine learning-based clustering of nanosized fluorescent extracellular vesicles
Sören Kuypers, Nick Smisdom, … Baharak Hosseinkhani·SmallPeer-reviewed·Jan 15, 2021