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Paper-Based Preconcentration and Isolation of Microvesicles and Exosomes
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Lab-on-Chip for Exosomes and Microvesicles Detection and Characterization.

Maria Serena Chiriacò1, Monica Bianco2, Annamaria Nigro3

  • 1CNR NANOTEC Institute of Nanotechnology, via Monteroni, 73100 Lecce, Italy. mariaserena.chiriaco@nanotec.cnr.it.

Sensors (Basel, Switzerland)
|September 23, 2018
PubMed
Summary

Extracellular vesicles like microvesicles and exosomes show promise as biomarkers, but current analysis methods are limited. Lab-on-chip technologies offer a path toward automated, in-depth investigation for clinical applications.

Keywords:
biosensorsexosomesextracellular vesicleslab-on-chipmicrofabricationmicrofluidics

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Area of Science:

  • Biotechnology
  • Cell Biology
  • Biomarker Discovery

Background:

  • Extracellular vesicles (EVs), including microvesicles and exosomes, are increasingly recognized for their roles in intercellular communication and disease pathogenesis.
  • Their potential as biomarkers for various disorders is significant, yet current analytical methods hinder comprehensive investigation.

Purpose of the Study:

  • To review the biological functions of EVs.
  • To evaluate current biochemical analysis methods and their limitations.
  • To survey lab-on-chip (LOC) technologies for advanced EV analysis.

Main Methods:

  • Literature review of EV biology and analytical techniques.
  • Analysis of limitations in standard biochemical assays for EVs.
  • Survey of emerging lab-on-chip platforms for EV detection and characterization.

Main Results:

  • Standard methods for EV analysis lack the depth required for full diagnostic and prognostic exploitation.
  • Lab-on-chip technologies present a mature solution for automated, comprehensive EV analysis.
  • LOC methods can bridge the gap between current limitations and the clinical utility of EVs.

Conclusions:

  • Advanced analytical techniques, particularly lab-on-chip systems, are crucial for unlocking the full potential of extracellular vesicles in clinical practice.
  • Automated LOC platforms promise to enhance the investigation of EVs for biomarker discovery and disease management.
  • Further development and adoption of LOC technologies are needed to integrate EV analysis into routine clinical diagnostics.