Identifying Mechanisms of Gene Circuit Evolution that Elicit Mammalian Drug Resistance
ORAL
Abstract
Stochasticity in gene expression is a prime determinant of drug resistance in mammalian cell populations, but the biological mechanisms that elicit such behaviors are poorly understood. Recently we used synthetic gene circuits harboring positive feedback (PF) and negative feedback (NF) regulation to tune mammalian drug resistance transgene (DRT) expression noise. Cell populations harboring PF circuitry exhibit high DRT expression noise, which favors the evolution of drug resistance in high stress environments. Cell populations harboring NF circuitry exhibit minimal DRT expression noise, which favors the evolution of drug resistance in low stress environments. Biological mechanisms that drive these observations are unknown. Here, we investigate transcriptional profiles of experimentally evolved NF and PF mammalian cell populations that became drug resistant. Identifying how mammalian populations combine and evolve drug-specific and pleiotropic drug resistance will provide insight into drug resistance mechanisms and may guide future applications of synthetic gene circuits in cell research and medicine.
*This abstract is supported by the NIH (MIRA: R35GM122561), the Laufer Center for Physical & Quantitative Biology, and the Stony Brook University Cancer Center.
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Publication: Farquhar, K. S., Charlebois, D. A., Szenk, M., Cohen, J., Nevozhay, D., & Balázsi, G. (2019). Role of network-mediated stochasticity in mammalian drug resistance. Nature communications, 10(1), 1-14.
Presenters
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Joseph Cohen
- Stony Brook University (SUNY)