Highly-automated, high-throughput replication of yeast-based logic circuit design assessments

Robert P Goldman, Robert Moseley, Nicholas Roehner, Breschine Cummins, Justin D Vrana, Katie J Clowers, Daniel Bryce, Jacob Beal, Matthew DeHaven, Joshua Nowak, Trissha Higa, Vanessa Biggers, Peter Lee, Jeremy P Hunt, Lorraine Mosqueda, Steven B Haase, Mark Weston, George Zheng, Anastasia Deckard, Shweta Gopaulakrishnan, Joseph F Stubbs, Niall I Gaffney, Matthew W Vaughn, Narendra Maheshri, Ekaterina Mikhalev, Bryan Bartley, Richard Markeloff, Tom Mitchell, Tramy Nguyen, Daniel Sumorok, Nicholas Walczak, Chris Myers, Zach Zundel, Benjamin Hatch, James Scholz, John Colonna-Romano

October 2022

DOI URL

Abstract

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.Graphical Abstract

Type

Journal article

Publication

Synthetic Biology

Highly-automated, high-throughput replication of yeast-based logic circuit design assessments

Abstract

Nicholas Roehner

Raytheon BBN Technologies, Researcher

Tramy Nguyen

Raytheon BBN Technologies, Research Scientist/Software Engineer

Chris Myers

Department Chair / Professor

Zach Zundel

Facebook, Product Engineer

James Scholz

Undergraduate Researcher

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