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Imaging extracellular vesicles: current and emerging methods.

Steven Ting-Yu Chuo1, Jasper Che-Yung Chien1, Charles Pin-Kuang Lai2,3,4

  • 1Institute of Atomic and Molecular Sciences, Academia Sinica, No. 1, Roosevelt Rd., Sec. 4, Taipei, 10617, Taiwan.

Journal of Biomedical Science
|December 25, 2018
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Summary
This summary is machine-generated.

Extracellular vesicles (EVs) are tiny cell-released nanoparticles crucial for communication. This review details imaging strategies for accurately studying these nanovesicles in biological research.

Keywords:
BiodistributionBioluminescenceDyesExtracellular vesicles exosomesFluorescenceImagingMRIMicrovesiclesSPECT

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Area of Science:

  • Cell biology
  • Nanotechnology
  • Biomedical imaging

Background:

  • Extracellular vesicles (EVs) are nanoparticles released by cells, mediating intercellular communication.
  • EVs transport various biomolecules (proteins, RNA, DNA) and are implicated in development and diseases like cancer.
  • Understanding EV roles requires accurate visualization of their spatiotemporal properties.

Purpose of the Study:

  • To review current and emerging imaging strategies for extracellular vesicles.
  • To provide guidance for selecting appropriate labeling techniques for EV research.
  • To facilitate accurate monitoring and prospective studies of EVs.

Main Methods:

  • Literature review of established and novel EV imaging techniques.
  • Analysis of labeling strategies for nanometer-sized EVs.
  • Discussion of challenges and considerations in EV visualization.

Main Results:

  • Various methods exist for EV imaging, each with specific advantages and limitations.
  • Accurate EV monitoring necessitates a thorough understanding of chosen labeling strategies.
  • Emerging techniques offer improved resolution and specificity for EV studies.

Conclusions:

  • Effective imaging is critical for elucidating the functions of extracellular vesicles.
  • Careful selection of labeling methods is essential for reliable EV research.
  • Advancements in imaging technologies will enhance our understanding of EV biology and disease roles.