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Related Experiment Video

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Perfused multiwell plate for 3D liver tissue engineering.

Karel Domansky1, Walker Inman, James Serdy

  • 1Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.

Lab on a Chip
|December 22, 2009
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel perfusion bioreactor array for 3D tissue culture, enabling scalable drug discovery. This system maintains functional liver tissue for seven days, demonstrating its potential for in vitro modeling.

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Area of Science:

  • Biotechnology
  • Tissue Engineering
  • Drug Discovery

Background:

  • In vitro models are crucial for drug discovery but often lack the complexity of in vivo systems.
  • Scalable and user-friendly models are needed to advance pharmaceutical research and development.

Purpose of the Study:

  • To develop a novel, scalable, and user-friendly bioreactor system for 3D tissue culture.
  • To assess the viability and functionality of liver tissue cultured in the developed perfusion bioreactor array.

Main Methods:

  • Development of a multiwell plate format integrating multiple fluidically isolated bioreactors.
  • Incorporation of pneumatic diaphragm micropumps for continuous medium perfusion within each bioreactor.
  • Use of computational modeling and experimental measurements to determine optimal oxygen parameters for primary liver cultures.

Main Results:

  • The bioreactor system successfully supported the formation of hundreds of 3D microscale tissue units per well.
  • Oxygen consumption rates were accurately determined for primary liver cultures under perfusion.
  • Cultured liver tissue demonstrated sustained functional viability, confirmed by phenotypic marker immunostaining after seven days.

Conclusions:

  • The developed perfusion bioreactor array offers a scalable and user-friendly platform for advanced in vitro tissue modeling.
  • This system shows significant promise for improving drug discovery and development by providing more physiologically relevant tissue models.