Journal article
Highly-automated, high-throughput replication of yeast-based logic circuit design assessments
Synthetic biology (Oxford University Press), Vol.7(1), pp.ysac018-ysac018
02/02/2022
DOI: 10.1093/synbio/ysac018
PMCID: PMC9583850
PMID: 36285185
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.
Details
- Title: Subtitle
- Highly-automated, high-throughput replication of yeast-based logic circuit design assessments
- Creators
- Robert P. Goldman - Smart Information Flow Technologies (United States)Robert Moseley - Duke UniversityNicholas Roehner - RTX (United States)Bree Cummins - Montana State UniversityJustin D. Vrana - Evotec (United States)Katie J. Clowers - Ginkgo Bioworks, Inc. (United States)Daniel Bryce - Smart Information Flow Technologies (United States)Jacob Beal - RTX (United States)Matthew DeHaven - Smart Information Flow Technologies (United States)Joshua Nowak - Menlo SchoolTrissha Higa - Menlo SchoolVanessa Biggers - Menlo SchoolPeter Lee - Ginkgo Bioworks, Inc. (United States)Jeremy P. Hunt - Menlo SchoolLorraine Mosqueda - Menlo SchoolSteven B. Haase - Duke UniversityMark Weston - Univ Texas, Texas Adv Comp Ctr TACC, 10100 Burnet Rd, Austin, TX 78758 USAGeorge Zheng - Univ Texas, Texas Adv Comp Ctr TACC, 10100 Burnet Rd, Austin, TX 78758 USAAnastasia Deckard - Geometr Data Analyt Inc, 343 W Main St, Durham, NC 27701 USAShweta Gopaulakrishnan - Univ Texas Austin, Texas Adv Comp Ctr, Austin, TX 78712 USAJoseph F. Stubbs - Univ Texas Austin, Texas Adv Comp Ctr, Austin, TX 78712 USANiall Gaffney - Univ Texas Austin, Texas Adv Comp Ctr, Austin, TX 78712 USAMatthew W. Vaughn - Univ Texas Austin, Texas Adv Comp Ctr, Austin, TX 78712 USANarendra Maheshri - Ginkgo Bioworks, Inc. (United States)Ekaterina Mikhalev - Ginkgo Bioworks, Inc. (United States)Bryan Bartley - RTX (United States)Richard Markeloff - RTX (United States)Tom Mitchell - RTX (United States)Tramy Nguyen - RTX (United States)Daniel Sumorok - RTX (United States)Nicholas Walczak - RTX (United States)Chris Myers - University of Colorado BoulderZach Zundel - University of UtahBenjamin Hatch - University of UtahJames Scholz - University of UtahJohn Colonna-Romano - Aptima (United States)
- Resource Type
- Journal article
- Publication Details
- Synthetic biology (Oxford University Press), Vol.7(1), pp.ysac018-ysac018
- DOI
- 10.1093/synbio/ysac018
- PMID
- 36285185
- PMCID
- PMC9583850
- NLM abbreviation
- Synth Biol (Oxf)
- ISSN
- 1939-7267
- eISSN
- 2397-7000
- Publisher
- Oxford Univ Press
- Number of pages
- 13
- Grant note
- FA8750-17-C-O184; HR001117C0092; HR001117C0094; FA8750-17-C-0229; FA8750-17-C-0054 / Air Force Research Laboratory Defense Advanced Research Projects Agency (DARPA); United States Department of Defense
- Language
- English
- Date published
- 02/02/2022
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984627187402771
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