Megan M. Sperry

This study investigates how synthetic living constructs, specifically Xenobots, sense and store memory through transcriptional and physiological changes after exposure to chemical stimuli.

The paper characterizes self-organizing neural networks in Xenopus-derived biobots, showing they exhibit complex behaviors, active neurons, and distinct transcriptomic profiles compared to non-neuronal constructs.

This paper identifies vorinostat as a potential repurposed therapy for Rett syndrome by combining computational network analysis with CRISPR-edited Xenopus models, showing efficacy across multiple organ systems.