A data-driven method for quantifying the impact of a genetic circuit on its host
Published in 2019 IEEE Biomedical Circuits and Systems Conference, Nara, Japan, 2019
Recommended citation: A. Hasnain, ..., E. Yeung. (2019). "A data-driven method for quantifying the impact of a genetic circuit on its host." 2019 IEEE Biomedical Circuits and Systems Conference. 1-4. http://aqibhasnain.github.io/files/hasnain2019impact.pdf
We show how Koopman operators can be used to quantify impact of synthetic gene circuits on their host. We quantify the impact of a NAND circuit on E. coli using by modeling high-throughput RNAseq measurements collected from wild-type E. coli, single gate components transformed in E. coli, and the NAND circuit composed from individual gates in E. coli. We showcase how Koopman subspace functions encode increasing circuit interference on E. coli chassis dynamics. 