4.8 Article

Nanofluidics for Simultaneous Size and Charge Profiling of Extracellular Vesicles

Journal

NANO LETTERS
Volume 21, Issue 12, Pages 4895-4902

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.nanolett.0c02558

Keywords

Extracellular vesicles; tunable confinement; nanofluidics

Funding

  1. Canadian Cancer Society [255878 CCSRI]
  2. Natural Science and Engineering Research Council of Canada (NSERC) [G247765]
  3. New Frontiers for Research Fundexploration [250326 NFRFE]
  4. Canada Foundation for Innovation (CFI) [G248924]
  5. Faculty of Engineering at McGill University
  6. CMC

Ask authors/readers for more resources

Extracellular vesicles (EVs) are cell-derived membrane structures circulating in body fluids, showing potential for noninvasive diagnosis. To fully utilize the diagnostic potential of EVs, technologies that can analyze large populations of EVs without sacrificing single EV detail are needed.
Extracellular vesicles (EVs) are cell-derived membrane structures that circulate in body fluids and show considerable potential for noninvasive diagnosis. EVs possess surface chemistries and encapsulated molecular cargo that reflect the physiological state of cells from which they originate, including the presence of disease. In order to fully harness the diagnostic potential of EVs, there is a critical need for technologies that can profile large EV populations without sacrificing single EV level detail by averaging over multiple EVs. Here we use a nanofluidic device with tunable confinement to trap EVs in a free-energy landscape that modulates vesicle dynamics in a manner dependent on EV size and charge. As proof-of-principle, we perform size and charge profiling of a population of EVs extracted from human glioblastoma astrocytoma (U373) and normal human astrocytoma (NHA) cell lines.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available