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Related Experiment Video

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Generating and Characterizing Adipose Spheroids from Adipose-Derived Stromal/Stem Cells.

Charles Amurgis1, W Vincent Nerone1, Lauren Kokai2

  • 1Department of Plastic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Methods in Molecular Biology (Clifton, N.J.)
|March 13, 2024
PubMed
Summary

High-throughput screening using adipose spheroids from human stem cells is now feasible for drug discovery. This method incorporates genetic diversity and automates characterization for efficient research.

Keywords:
Adipose tissueAdipose-derived stromal/stem cellsCell spheroid characterizationCell spheroidsDrug testingThree-dimensional cell culture

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Area of Science:

  • Biotechnology
  • Drug Discovery
  • Stem Cell Research

Background:

  • Technological advancements enable high-throughput compound screening using cell spheroids.
  • Adipose spheroids offer a valuable model for drug discovery research.
  • Incorporating genetic diversity early in research is crucial for drug development.

Purpose of the Study:

  • To describe a protocol for isolating human adipose stem cells and synthesizing adipose spheroids.
  • To present methods for characterizing adipocyte metabolism and health within spheroids.
  • To highlight technologies for automating spheroid characterization and increasing research throughput.

Main Methods:

  • Isolation of primary human adipose stem cells.
  • Synthesis of cell spheroids comprising mature adipocytes and stromal cells.
  • Generation of multiple 384-well plates of adipose spheroids from cryopreserved cells.

Main Results:

  • Feasible generation of numerous 384-well plates of adipose spheroids.
  • Successful incorporation of genetic diversity from single-donor cells.
  • Representative outcome measurements for adipocyte metabolism and health characterization.

Conclusions:

  • The described protocol facilitates high-throughput screening with adipose spheroids.
  • Automation technologies enhance the efficiency of spheroid characterization.
  • This approach supports robust drug discovery by incorporating biological variability.