Enabling methodology for high-throughput media screening in the context of multi-cell type co-cultures

Area of Science:

• Tissue Engineering
• Biomaterials Science
• Cell Biology

Background:

• Engineered in vitro tissue models increasingly use diverse cell types to mimic native tissues.
• Optimizing culture media for co-cultures is challenging due to a lack of standardized, high-throughput screening methods.
• Existing commercial co-culture systems are expensive, inflexible, and not suitable for large-scale screening.

Purpose of the Study:

• To develop and validate a semi-automated, high-throughput screening platform for optimizing culture media in multi-cell co-cultures.
• To assess the impact of media composition and paracrine interactions on cell proliferation in a respiratory tissue model.
• To provide a scalable and robust method for advancing biomimetic in vitro model development.

Main Methods:

• A custom 3D-printed device integrated into standard well-plates for semi-automated culture.
• Automated image acquisition and statistical analysis for high-throughput screening of media formulations.
• Application to a respiratory model (epithelial cells, fibroblasts, endothelial cells) screening 40 conditions.

Main Results:

• Identified critical influence of media composition and paracrine signaling on cell proliferation in co-cultures.
• Demonstrated higher sensitivity of endothelial cells to media variations compared to epithelial cells.
• Validated the platform's ability to reduce manual labor and enable reproducible, large-scale evaluation.

Conclusions:

• The developed methodology offers a scalable and robust approach for optimizing culture media in multi-cell co-cultures.
• This platform facilitates efficient screening, reducing manual effort and advancing the development of complex in vitro models.
• Provides valuable insights for tissue engineering applications and the creation of more accurate biomimetic models.