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

IF 3.2 4区生物学 Q1 Agricultural and Biological Sciences Synthetic Biology Pub Date : 2022-10-06 eCollection Date: 2022-01-01 DOI:10.1093/synbio/ysac018

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

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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.

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基于酵母的逻辑电路设计评估的高自动化、高通量复制。

我们的实验活动采用了美国国防部高级研究计划局协同发现与设计计划开发的新型高通量实验框架：Strateos 的远程机器人实验室执行参数化的实验方案。利用该实验方案和机器人执行，我们生成的流式细胞仪数据比原始实验多出两个数量级。我们讨论了我们的结果，这些结果与原始报告基本一致，但不完全一致，我们还总结了一些经验教训。图表摘要。

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