We are digitizing biological sensing and actuation by interfacing synthetic biology with microfluidics and advanced microcircuitry.
This project aims to leverage the memory of complex genetic systems in order to create smart biosensors. Bacterial or mammalian cells, living systems, will be able to “remember” things they have seen in their environment. Using these engineered cellular memory elements, Densmore and his team will create smart biosensors. By creating artificial environments using microfluidic devices, the team will then generate custom biological memory elements for those devices. The devices will be equipped with electronic technology that can detect and respond to biological changes. When these devices are in “swarms,” they can collectively act as smart biosensors in the environment.
These systems will be more vigorous, longer-lasting, and higher capacity than previously-published elements in the field. The devices will have custom-designed semiconductor-based electronics that are manufactured to measure biological outputs and use wireless communication to report results and control the microfluidic operations.
We aim to build out these custom bioelectronic microfluidic hybrid systems in three main phases:
TEST: By using high-throughput droplet microfluidics, we will screen biological designs and operational conditions to identify promising candidates
REFINE: Using medium-throughput continuous flow microfluidics, we will directly interface candidate designs with low-power electronics to further select optimal memory circuits
DEPLOY: Final memory circuits will be tested inside an aquatic environment to evaluate its efficacy as a deployable biosensor, without the need for human operation
McIntyre, D., Lashkaripour, A., Fordyce, P. and Densmore, D., 2022. Machine learning for microfluidic design and control. Lab on a Chip, 22(16), pp.2925-2937.
Arguijo, D. and Densmore, D., 2022. Efficient Droplet Microfluidic Characterization for Design Automation. International Workshop on Bio-Design Automation (IWBDA).
Bragdon, M., Patel, N., Chuang, J., Levien, E., Bashor, C. and Khalil, A., 2022. Cooperative assembly confers regulatory specificity and long-term genetic circuit stability. doi: 10.1101/2022.05.22.492993.
Huang, T.P., Heins, Z.J., Miller, S.M. et al. High-throughput continuous evolution of compact Cas9 variants targeting single-nucleotide-pyrimidine PAMs. Nature Biotechnology (2022). doi: 10.1038/s41587-022-01410-2