Highly-automated, high-throughput replication of yeast-based logic circuit design assessments
Date
2022-02Author
Goldman, Robert P
Moseley, Robert
Roehner, Nicholas
Cummins, Breschine
Vrana, Justin D
Clowers, Katie J
Bryce, Daniel
Beal, Jacob
DeHaven, Matthew
Nowak, Joshua
Higa, Trissha
Biggers, Vanessa
Lee, Peter
Hunt, Jeremy P.
Mosqueda, Lorraine
Haase, Steven B.
Weston, Mark
Zheng, George
Deckard, Anastasia
Gopaulakrishnan, Shweta
Stubbs, Joseph F.
Gaffney, Niall I.
Vaughn, Matthew W.
Maheshri, Narendra
Mikhalev, Ekaterina
Bartley, Bryan
Markeloff, Richard
Mitchell, Tom
Nguyen, Tramy
Sumorok, Daniel
Walczak, Nicholas
Myers, Chris
Zundel, Zach
Hatch, Benjamin
Scholz, James
Colonna-Romano, John
Metadata
Show full item recordAbstract
We describe an experimental campaign that replicated the performance assessment of logic gates engineered into cells of Saccharomyces cerevisiae by Gander et al. Our experimental campaign used a novel high-throughput experimentation framework developed under Defense Advanced Research Projects Agency’s Synergistic Discovery and Design program: a remote robotic lab at Strateos executed a parameterized experimental protocol. Using this protocol and robotic execution, we generated two orders of magnitude more flow cytometry data than the original experiments. We discuss our results, which largely, but not completely, agree with the original report and make some remarks about lessons learned.
Citation
Goldman, Robert P., Robert Moseley, Nicholas Roehner, Breschine Cummins, Justin D. Vrana, Katie J. Clowers, Daniel Bryce et al. "Highly-automated, high-throughput replication of yeast-based logic circuit design assessments." Synthetic Biology 7, no. 1 (2022): ysac018.