ArticleJournal of nanobiotechnology2023
Integrating automated liquid handling in the separation workflow of extracellular vesicles enhances specificity and reproducibility.
Article in Journal of nanobiotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Robotic Centrifugal Microfluidics with In-Rotation Liquid Supply for the Extraction of Multiple Liquid Biopsy Analytes in One Platform.Biosensors · 2026Article
- Circulating Tumour Cells as Potential Biomarkers for Oral Squamous Cell Carcinoma.Molecules (Basel, Switzerland) · 2026Review
- Parallelized contactless microfluidic dispenser with superhydrophobic nozzles for scalable combinatorial screening.Biomicrofluidics · 2026Article
- A One-Step Workflow for Size-Based Separation of Extracellular Vesicles With Integrated Surface Marker Detection.Journal of extracellular biology · 2026Article
- A 96-Well Ultrafiltration Approach for the High-Throughput Proteome Analysis of Extracellular Vesicles Isolated From Conditioned Medium.Journal of extracellular vesicles · 2025Article
- Recent Advances in Mass Spectrometry-Based Bottom-Up Proteomics.Analytical chemistry · 2025Review
- Uromodulin and the study of urinary extracellular vesicles.Journal of extracellular biology · 2024Review
- Identification and validation of extracellular vesicle reference genes for the normalization of RT-qPCR data.Journal of extracellular vesicles · 2024Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundExtracellular 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.
resultsAutomated 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 complex body fluids, including blood plasma and urine, we assess reproducibility, recovery, and specificity by mass spectrometry-based proteomics and transmission electron microscopy. Method reproducibility is the highest in the automated procedure independent of the matrix used. While retaining (in urine) or enhancing (in plasma) EV recovery compared to manual liquid handling, automation significantly reduces the presence of body fluid specific abundant proteins in EV preparations, including apolipoproteins in plasma and Tamm-Horsfall protein in urine.
conclusionsIn conclusion, automated liquid handling ensures cost-effective EV separation from human body fluids with high reproducibility, specificity, and reduced hands-on time with the potential to enable larger-scale biomarker studies.
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Registered trials
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