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基于酵母的逻辑电路设计评估的高度自动化、高通量复制

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

作者信息

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

机构信息

SIFT, LLC, 319 First Ave, North, Suite 400, Minneapolis, MN 55401, USA.

Department of Biology, Box 90338, Duke University, Durham, NC 27708, USA.

出版信息

Synth Biol (Oxf). 2022 Oct 6;7(1):ysac018. doi: 10.1093/synbio/ysac018. eCollection 2022.

DOI:10.1093/synbio/ysac018
PMID:36285185
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9583850/
Abstract

We describe an experimental campaign that replicated the performance assessment of logic gates engineered into cells of by Gander 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. .

摘要

我们描述了一项实验活动，该活动复制了甘德等人在细胞中设计的逻辑门的性能评估。我们的实验活动使用了在国防高级研究计划局的协同发现与设计计划下开发的新型高通量实验框架：Strateos的一个远程机器人实验室执行了一个参数化实验方案。通过这个方案和机器人执行，我们生成的流式细胞术数据比原始实验多了两个数量级。我们讨论了我们的结果，这些结果在很大程度上但并非完全与原始报告一致，并对所吸取的经验教训做了一些评论。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/ea0d55516cc8/ysac018f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/28f267adf87e/ysac018f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/49ba1433dad1/ysac018f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/d27608acf33e/ysac018f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/fbd4460e2830/ysac018f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/40397eda10a0/ysac018f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/648914503fef/ysac018f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/99c83a44f680/ysac018f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/df1dd8c929fe/ysac018f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/0ea46b9ee63f/ysac018f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/94a82e2b4d64/ysac018f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/ea0d55516cc8/ysac018f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/28f267adf87e/ysac018f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/49ba1433dad1/ysac018f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/d27608acf33e/ysac018f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/fbd4460e2830/ysac018f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/40397eda10a0/ysac018f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/648914503fef/ysac018f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/99c83a44f680/ysac018f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/df1dd8c929fe/ysac018f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/0ea46b9ee63f/ysac018f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/94a82e2b4d64/ysac018f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7867/9583850/ea0d55516cc8/ysac018f14.jpg

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