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ReBiA—Robotic Enabled Biological Automation: 3D Epithelial Tissue Production

Authors :
Lukas Königer
Christoph Malkmus
Dalia Mahdy
Thomas Däullary
Susanna Götz
Thomas Schwarz
Marius Gensler
Niklas Pallmann
Danjouma Cheufou
Andreas Rosenwald
Marc Möllmann
Dieter Groneberg
Christina Popp
Florian Groeber‐Becker
Maria Steinke
Jan Hansmann
Source :
Advanced Science, Vol 11, Iss 45, Pp n/a-n/a (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

Abstract The Food and Drug Administration's recent decision to eliminate mandatory animal testing for drug approval marks a significant shift to alternative methods. Similarly, the European Parliament is advocating for a faster transition, reflecting public preference for animal‐free research practices. In vitro tissue models are increasingly recognized as valuable tools for regulatory assessments before clinical trials, in line with the 3R principles (Replace, Reduce, Refine). Despite their potential, barriers such as the need for standardization, availability, and cost hinder their widespread adoption. To address these challenges, the Robotic Enabled Biological Automation (ReBiA) system is developed. This system uses a dual‐arm robot capable of standardizing laboratory processes within a closed automated environment, translating manual processes into automated ones. This reduces the need for process‐specific developments, making in vitro tissue models more consistent and cost‐effective. ReBiA's performance is demonstrated through producing human reconstructed epidermis, human airway epithelial models, and human intestinal organoids. Analyses confirm that these models match the morphology and protein expression of manually prepared and native tissues, with similar cell viability. These successes highlight ReBiA's potential to lower barriers to broader adoption of in vitro tissue models, supporting a shift toward more ethical and advanced research methods.

Details

Language :
English
ISSN :
21983844
Volume :
11
Issue :
45
Database :
Directory of Open Access Journals
Journal :
Advanced Science
Publication Type :
Academic Journal
Accession number :
edsdoj.fe32480d69041d8bc0b2fb1f53adc4c
Document Type :
article
Full Text :
https://doi.org/10.1002/advs.202406608