Designing the Future with Stem Cell and RNA Technology

How 3D culture imaging and AI are helping develop cost-effective iPSC culture media and efficient RNA delivery systems for cellular agriculture

Transfection using the Uncommon Bio reprogramming system. Image acquired using the THUNDER Imager 3D Cell Culture with THUNDER Large Volume Computational Clearing (LVCC) applied. Image courtesy of Samuel East, Uncommon Bio.  Transfection_using_Uncommon_Bio_reprogramming_system.jpg

Wednesday 26th February 2025, 11AM EST | 4PM GMT | 5PM CET

Visionary biotech start-up Uncommon Bio is tackling one of the world’s biggest health challenges: food sustainability. In this webinar, Stem Cell Scientist Samuel East will show how they use RNA technology to reprogram primary cultures into induced pluripotent stem cells (iPSCs) and later guide those stem cell cultures into fat and muscle tissues, in order to cultivate meat. See how they achieved a 1000x reduction in media costs and created a novel, efficient and scaleable RNA delivery system.

Key webinar learnings:

  • How implementation of Design of Experiments (DoE) is used to achieve cost savings for stem cell culture media and increase experimental productivity
  • How the team developed a novel, efficient and scalable RNA delivery system
  • How advanced technology workflows, including high-throughput imaging and AI-based image analysis, are being used to successfully investigate 3D culture models 
     

Designing the future of cultivated meat

In order to make cellular agriculture financially viable, raw material costs need to be reduced. Stem cell culture medias are commercially available; however they can be very expensive, may contain components unsuitable for food production, and often rely on the use of animal serum such as Fetal Bovine Serum (FBS). Furthermore, the re-programming and stem cell guidance technologies used at Uncommon Bio are impractical with current commercial delivery systems.

These challenges have driven their Media Development Group to take a ground-up approach, using the statistical toolset known as Design of Experiments (DoE) to drive the development of cost effective and animal free iPSC culture media, and the formulation of in-house RNA delivery systems.

Despite having no previous experience with these technologies, the team have successfully developed a variety of scaled down 3D culture models, integrating high-throughput liquid handling and image analysis workflows including the THUNDER Imager 3D Cell Culture system, and AI-based machine-learning workflows within Aivia software.

With the ability to rapidly formulate and quantify thousands of parallel conditions, the team have identified key interactions and eliminated redundant components. The result is a 1000x reduction in media costs and the development of novel, efficient and scaleable RNA delivery systems.

This work exemplifies the cutting edge research that smaller teams can achieve when high-throughput liquid handling and image analysis is applied to DoE methodologies, allowing them to untangle the complex network of interactions that underpin cellular biology.

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