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Digitalized Human Organoid for Wireless Phenotyping.

Masaki Kimura1, Momoko Azuma1, Ran-Ran Zhang1

  • 1Division of Gastroenterology, Hepatology & Nutrition, Developmental Biology, Center for Stem Cell and Organoid Medicine (CuSTOM), Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229-3039, USA.

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Summary
This summary is machine-generated.

Researchers developed RFID chip-integrated organoids (RiOs) for tracking individual biological samples. This innovation enables in situ phenotypic screening and donor identification, advancing organoid medicine for drug development and precision treatments.

Keywords:
BioengineeringCell BiologyStem Cells Research

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Area of Science:

  • Biotechnology
  • Regenerative Medicine
  • Bioengineering

Background:

  • Radio frequency identification (RFID) offers a robust method for tracking objects wirelessly.
  • Organoids derived from induced pluripotent stem cells (iPSCs) are valuable tools in biomedical research.
  • Integrating tracking technology into organoids can enhance their utility in complex biological studies.

Purpose of the Study:

  • To develop a novel RFID chip-integrated organoid (RiO) system.
  • To demonstrate the feasibility of in situ phenotypic screening and individual donor identification using RiOs.
  • To explore the potential of RiOs in advancing organoid medicine.

Main Methods:

  • Compact 0.4 mm RFID chips were reproducibly integrated into self-assembling organoids.
  • Organoids were generated from 10 different iPSC lines from healthy and diseased donors.
  • Phenotypic screening was performed on pooled RiOs, followed by individual donor detection.

Main Results:

  • Successful integration of RFID chips within organoids was achieved.
  • A severely steatotic phenotype, specific to a genetic disorder of steatohepatitis, was identified using RFID.
  • In situ detection of individual donors within a pool of RiOs was demonstrated.

Conclusions:

  • RFID chip integration provides a digitalization strategy for organoids.
  • RiOs enable efficient phenotypic screening and personalized sample tracking.
  • This technology holds promise for drug development, precision medicine, and transplantation.