Abstract 2951 Engineering high-precision, dynamic genetic control systems for cell fate programming

Integrating synthetic circuitry into larger transcriptional networks to mediate predictable cellular behaviors remains a challenge within synthetic biology. In particular, the stochastic nature of transcription makes coordinating expression across multiple genetic elements difficult. Further, delivery of large genetic cargoes limits the efficiency of cellular engineering. Thus, our work is focused on the design of highly-compact genetic tools with a minimal genomic footprint. Simultaneously, we have been developing cocktails of transgenes that are capable of rapidly convert cells into neurons.