Integrating automated liquid handling in the separation workflow of extracellular vesicles enhances specificity and reproducibility.

ABSTRACT:

Background

Extracellular vesicles (EV) are extensively studied in human body fluids as potential biomarkers for numerous diseases. Major impediments of EV-based biomarker discovery include the specificity and reproducibility of EV sample preparation as well as intensive manual labor. We present an automated liquid handling workstation for the density-based separation of EV from human body fluids and compare its performance to manual handling by (in)experienced researchers.

Results

Automated versus manual density-based separation of trackable recombinant extracellular vesicles (rEV) spiked in PBS significantly reduces variability in rEV recovery as quantified by fluorescent nanoparticle tracking analysis and ELISA. To validate automated density-based EV separation from comple

SUBMITTER: Van Dorpe S 

PROVIDER: S-EPMC10197845 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature