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Live Organoid Cyclic Imaging.

David E Reynolds1, Yusha Sun2, Xin Wang2

  • 1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|February 7, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel multiplexed cyclic imaging technique using bioorthogonal click chemistry to analyze patient-derived glioblastoma organoids. This method enables detailed molecular profiling while preserving organoid viability and spatial information for disease modeling.

Keywords:
biomarker discoverybioorthogonal click‐chemistryglioblastomalongitudinal monitoringmultiplexingorganoids

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Area of Science:

  • Biomedical Engineering
  • Molecular Imaging
  • Cancer Biology

Background:

  • Organoids are crucial for modeling human diseases due to their complexity.
  • Existing imaging techniques like 4D live imaging and light-sheet imaging have limitations in cyclic and multiplexed analysis.
  • Preserving spatial information is vital for comprehensive organoid profiling.

Purpose of the Study:

  • To introduce a new bioorthogonal click chemistry-based imaging technique for organoids.
  • To demonstrate multiplexed cyclic imaging for glioblastoma organoids.
  • To enable accurate molecular profiling while maintaining organoid viability.

Main Methods:

  • Application of bioorthogonal click chemistry for signal quenching.
  • Development of a multiplexed cyclic imaging approach.
  • Utilizing patient-derived glioblastoma organoids for validation.

Main Results:

  • Successful demonstration of multiplexed cyclic imaging in live and fixed glioblastoma organoids.
  • The technique allows for efficient molecular profiling of complex phenotypes.
  • Glioblastoma markers were screened in patient-derived organoids with preserved viability.

Conclusions:

  • Bioorthogonal click chemistry provides a versatile tool for multiplexed cyclic imaging of organoids.
  • This technology enhances the molecular profiling of organoids, aiding disease modeling.
  • The approach has broad potential for studying physiological developments in various organoid systems.