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ReBiA-Robotic Enabled Biological Automation: 3D Epithelial Tissue Production.

Lukas Königer1, Christoph Malkmus1,2, Dalia Mahdy3

  • 1Translational Center Regenerative Therapies, Fraunhofer Institute for Silicate Research ISC, 97070, Würzburg, Germany.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|September 26, 2024
PubMed
Summary
This summary is machine-generated.

A new robotic system automates laboratory processes, enhancing the consistency and cost-effectiveness of in vitro tissue models. This supports the shift away from animal testing in drug development.

Keywords:
3RAI toolsalternatives to animal testinglab automationtissue engineering

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Area of Science:

  • Biotechnology
  • Drug Development
  • Toxicology

Background:

  • Regulatory bodies are shifting away from mandatory animal testing for drug approval.
  • Public preference and ethical considerations are driving the adoption of animal-free research methods.
  • In vitro tissue models offer a promising alternative but face challenges in standardization, availability, and cost.

Purpose of the Study:

  • To develop an automated system for standardizing laboratory processes in the production of in vitro tissue models.
  • To address the barriers hindering the widespread adoption of in vitro tissue models.
  • To support the transition to more ethical and advanced research methodologies.

Main Methods:

  • Development of the Robotic Enabled Biological Automation (ReBiA) system, a dual-arm robot for automating laboratory processes.
  • Standardization of manual laboratory procedures within a closed automated environment.
  • Production and analysis of human reconstructed epidermis, human airway epithelial models, and human intestinal organoids.

Main Results:

  • The ReBiA system successfully automated the production of multiple human tissue models.
  • Automated models demonstrated comparable morphology, protein expression, and cell viability to manually prepared and native tissues.
  • The system reduces the need for process-specific developments, enhancing consistency and cost-effectiveness.

Conclusions:

  • The ReBiA system effectively lowers barriers to the broader adoption of in vitro tissue models.
  • Automation through ReBiA supports the transition towards more ethical and reliable drug development research.
  • This advancement contributes to regulatory acceptance of in vitro methods, aligning with the 3R principles (Replace, Reduce, Refine).