4.7 Article

Development of a microfluidic droplet platform with an antibody-free magnetic-bead-based strategy for high through-put and efficient EVs isolation

期刊

TALANTA
卷 249, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.talanta.2022.123625

关键词

Extracellular vesicles; Isolation; Magnetic beads; Polymer precipitation; Microfluidic droplets

资金

  1. Institut Universitaire de France
  2. Agence Nationale de la Recherche (ANR, France) [ANR-18-CE29-0005-01]
  3. European Union's Horizon 2020 research and innovation programm under the marie Skolodowska-Curie grant [896313]
  4. doctoral school 2MIB (Sciences Chimiques: Molecules, Materiaux, Instrumentation et Biosyst`emes) -University Paris Saclay
  5. Agence Nationale de la Recherche (ANR) [ANR-18-CE29-0005] Funding Source: Agence Nationale de la Recherche (ANR)
  6. Marie Curie Actions (MSCA) [896313] Funding Source: Marie Curie Actions (MSCA)

向作者/读者索取更多资源

This study presents a novel microfluidic droplet-based strategy for high-performance isolation of extracellular vesicles (EVs) using a magnetic bead-based approach combined with polyethylene glycol (PEG) without the use of antibodies. The reproducibility of EV recovery was improved, and isolated EVs identity was confirmed using capillary electrophoresis (CE) coupled with laser-induced fluorescent (LIF) detection. A purpose-made droplet platform was developed to further improve EVs capture efficiency and high throughput, achieving a significant improvement in recovery rate while reducing sample and reagent volumes and operation time.
In this study, we present a novel microfluidic droplet-based strategy for high performance isolation of extracellular vesicles (EVs). For EVs capture and release, a magnetic bead-based approach without having recourse to any antibody was optimized in batch and then adapted to the microfluidic droplet system. This antibody-free capture approach relies on the presence of a water-excluding polymer, polyethylene glycol (PEG), to precipitate EVs on the surface of negatively charged magnetic beads. We significantly improved the reproducibility of EV recovery and avoided positive false bias by including a washing step and optimizing the protocol. Wellcharacterized EV standards derived from pre-purified bovine milk were used for EVs isolation performance evaluation. An EVs recovery of up to 25% estimated with nanoparticle tracking analysis (NTA) was achieved for this batchwise PEG-based approach. The confirmation of isolated EVs identity was also made with our recently developed method using capillary electrophoresis (CE) coupled with laser-induced fluorescent (LIF) detection. In parallel, a purpose-made droplet platform working with magnetic tweezers was developed for translation of this PEG-based method into a droplet microfluidic protocol to further improve the performance in terms of EVs capture efficiency and high throughput. The droplet-based protocol offers a significant improvement of recovery rate (up to 50%) while reducing sample and reagent volumes (by more than 10 folds) and operation time (by 3 folds) compared to the batch-wise mode.

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