UCLA researchers have developed a new method to track cell fitness by pooling samples from dozens of donors into a single shared culture. This approach, known as a cell village, allows scientists to grow neural progenitor cells under identical conditions. By removing the technical variations that occur when cells are grown in separate dishes, the team can isolate the specific genetic factors that influence how cells divide and survive.
Measuring cell fitness across different genetic backgrounds has historically been slow and expensive. Traditional methods often suffer from environmental noise, where slight differences in temperature or handling lead to inaccurate results. The cell village platform solves this by ensuring that every donor's cells experience the exact same environment, which makes the data more reproducible and precise.
To manage the complex data generated by these villages, the research team created a statistical tool called Townlet. This tool separates natural biological differences from the mathematical constraints of proportional data. Because each donor's share of the cell village is part of a fixed whole, a gain for one donor forces a change in others. Townlet corrects for this effect to provide a reliable readout of each individual's cellular health.
The team applied this method to study autism-linked head overgrowth, specifically focusing on the chromosome 16p11.2 deletion. Their results showed that cells carrying this deletion divided faster than others, providing a cellular explanation for the larger brain size often seen in children with autism. This provides an early indicator that could aid in future diagnosis and treatment planning.
Beyond autism research, the team used the platform to map genetic vulnerabilities to toxins. By exposing a village of cells to lead, they found that survival rates varied significantly based on individual genetics. This discovery points to specific genes that protect cells from stress and could eventually inform personalized medicine strategies. All code for the Townlet tool is now publicly available for researchers to use in their own studies.