Zoë-CM2 Culture Module: A Validated, Customizable Platform for Organoid-on-Chip Research

Northwestern University
Surgery
Graduate Student

Overall

Quality of Results

Ease-of-Optimization

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Company:

Emulate

Product Name:

Zoë-CM2® Culture Module

Catalog Number:

ZOE-CM2

I have been using this system for three years to conduct lung-on-a-chip experiments with the S1 chips. We started with the validated protocol provided by Emulate and, with the support of their professionals, incorporated new elements to create a more representative cell culture model of lung ischemia-reperfusion injury. Utilizing the CM2 culture module allowed us to overcome the initial challenges of designing and troubleshooting an in-house organoid system, enabling us to quickly begin addressing more intriguing scientific questions relevant to our research. Furthermore, by using a customer-facing system, we hope to enhance the replicability and impact of our work.

Experimental Design and Results Summary

Application

Lung-on-a-Chip Modeling of IRI

Starting Material

Lung Tissue

Tips

Moderate cell culture experience is recommended. There is a learning curve for users without prior experience in similar workflows; however, with proper training and validated protocols, this can be effectively overcome.

Results Summary

We successfully observed key in vitro changes that mirror clinical findings in transplanted lungs, including barrier dysfunction, secretion of pro-inflammatory chemokines, cell death, transcriptional reprogramming, and more.

DOI or PMID #

N/A

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Summary

The Good

With validated protocols and user-friendly design, the system enables laboratories—even those without prior organoid-on-chip experience—to quickly and effectively enter the field.

The Bad

While highly effective, the system’s current cost may limit accessibility for certain laboratories.

The Bottom Line

This customer-facing organoid chip system allows laboratories to quickly adopt and begin conducting experiments using this technology. Improved reproducibility is supported by the system’s broader accessibility, enabling cross-lab consistency and collaboration.

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