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Related Concept Videos

Size-Exclusion Chromatography01:08

Size-Exclusion Chromatography

434
In size-exclusion chromatography (SEC), also known as molecular-exclusion or gel-permeation chromatography, molecules are separated based on their sizes. This technique is important for separating large molecules such as polymers and biomolecules. The two classes of micron-sized stationary phases encountered in SEC are silica particles and cross-linked polymer resin beads. Both materials are porous, but their pore sizes vary significantly.
Silica particles offer advantages such as rigidity,...
434

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Related Experiment Video

Updated: May 15, 2025

Size Exclusion Chromatography for Separating Extracellular Vesicles from Conditioned Cell Culture Media
10:46

Size Exclusion Chromatography for Separating Extracellular Vesicles from Conditioned Cell Culture Media

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High-Throughput Extracellular Vesicle Isolation Using Plate-Based Size Exclusion Chromatography and Automation.

Tal Gilboa1,2, Dmitry Ter-Ovanesyan1, Clarissa May Babila1

  • 1Wyss Institute for Biologically Inspired Engineering, 201 Brookline Ave., Boston, Massachusetts 02215, United States.

Journal of the American Chemical Society
|April 8, 2025
PubMed
Summary
This summary is machine-generated.

We developed a plate-based, automated size exclusion chromatography (SEC) method for high-throughput isolation of extracellular vesicles (EVs) from plasma. This scalable platform enables reproducible EV biomarker discovery and diagnostics.

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Area of Science:

  • Biotechnology
  • Nanomedicine
  • Biochemistry

Background:

  • Extracellular vesicles (EVs) are promising biomarkers found in biofluids like plasma.
  • Current EV isolation methods, such as size exclusion chromatography (SEC), lack the throughput for clinical applications.
  • Reproducible and scalable EV isolation is crucial for biomarker discovery and diagnostics.

Purpose of the Study:

  • To adapt SEC into a plate-based format for increased throughput.
  • To develop an automated platform for reproducible EV isolation from clinical samples.
  • To enable high-throughput analysis of EV biomarkers.

Main Methods:

  • Adapted SEC to a 24-well plate format using resin-packed frits.
  • Optimized EV separation from free proteins (e.g., Albumin) by measuring EV markers (CD63, CD81).
  • Automated the plate-based SEC process using liquid handling platforms.

Main Results:

  • Demonstrated successful separation of EVs from free proteins in the 24-well plate format.
  • Achieved high reproducibility with the automated platform.
  • Successfully applied the automated platform to analyze tetraspanins CD63 and CD81 in plasma samples.

Conclusions:

  • The developed automated, plate-based SEC method provides a scalable and reproducible solution for EV isolation.
  • This platform significantly increases throughput, enabling hundreds of samples per day.
  • The method facilitates EV biomarker discovery and diagnostic applications in clinical settings.