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The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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A One-Step Workflow for Size-Based Separation of Extracellular Vesicles With Integrated Surface Marker Detection.

Lien Lippens1,2,3, Niké Guilbert1,2, Sofie Van Dorpe1,2,3

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Summary
This summary is machine-generated.

A new one-step workflow analyzes extracellular vesicles (EVs) and their biomarkers in small biofluid volumes. This method enhances speed and reduces variability for cancer diagnostics using liquid biopsies.

Keywords:
AF4biomarkercancerextracellular vesiclesfield‐flow fractionationliquid biopsy

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Area of Science:

  • Biotechnology
  • Biomarker Discovery
  • Nanotechnology

Background:

  • Extracellular vesicles (EVs) are crucial biomarkers in liquid biopsies for disease diagnosis, particularly cancer.
  • Current EV analysis requires extensive pre-purification from large biofluid volumes, causing delays and variability.
  • There is a need for rapid, sensitive, and reproducible methods for EV biomarker characterization.

Purpose of the Study:

  • To develop and validate a streamlined, one-step workflow for simultaneous size and surface marker analysis of EVs.
  • To enable EV biomarker detection in minute volumes of complex biological fluids.
  • To assess the workflow's potential for early cancer detection and patient stratification.

Main Methods:

  • Coupling asymmetrical flow field-flow fractionation (AF4) with multi-angle light scattering (MALS) and a fluorescent light detector (FLD).
  • Optimization of the AF4-MALS-FLD system for analyzing EV surface markers (CD9, CD63, CD81) and cancer biomarkers (PSMA, EpCAM, HER2).
  • Application of the workflow to diverse sample types: purified EVs, cell culture supernatant, urine, and blood plasma.

Main Results:

  • The AF4-MALS-FLD workflow successfully characterized EV size and surface markers in various biofluids.
  • Detection of prostate cancer biomarkers (PSMA) in patient urine samples was achieved.
  • Discrimination between breast cancer patients and healthy donors was demonstrated by quantifying specific EV biomarkers in plasma.

Conclusions:

  • The one-step AF4-MALS-FLD workflow offers a rapid and robust method for extracellular vesicle biomarker detection.
  • This approach significantly reduces sample volume requirements and technical variability in EV analysis.
  • The workflow shows promise for advancing liquid biopsy applications in clinical diagnostics and personalized medicine.