Cell-free extract based optimization of biomolecular circuits with droplet microfluidics

Yutaka Hori; Chaitanya Kantak; Richard M. Murray; Adam R. Abate

doi:10.1039/c7lc00552k

Cell-free extract based optimization of biomolecular circuits with droplet microfluidics

Yutaka Hori, Chaitanya Kantak, Richard M. Murray, Adam R. Abate

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Abstract

Engineering an efficient biomolecular circuit often requires time-consuming iterations of optimization. Cell-free protein expression systems allow rapid testing of biocircuits in vitro, speeding the design-build-test cycle of synthetic biology. In this paper, we combine this with droplet microfluidics to densely scan a transcription-translation biocircuit space. Our system assays millions of parameter combinations per hour, providing a detailed map of function. The ability to comprehensively map biocircuit parameter spaces allows accurate modeling to predict circuit function and identify optimal circuits and conditions.

Original language	English
Pages (from-to)	3037-3042
Number of pages	6
Journal	Lab on a Chip
Volume	17
Issue number	18
DOIs	https://doi.org/10.1039/c7lc00552k
Publication status	Published - 2017 Sep 21
Externally published	Yes

ASJC Scopus subject areas

Bioengineering
Biochemistry
Chemistry(all)
Biomedical Engineering

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title = "Cell-free extract based optimization of biomolecular circuits with droplet microfluidics",

abstract = "Engineering an efficient biomolecular circuit often requires time-consuming iterations of optimization. Cell-free protein expression systems allow rapid testing of biocircuits in vitro, speeding the design-build-test cycle of synthetic biology. In this paper, we combine this with droplet microfluidics to densely scan a transcription-translation biocircuit space. Our system assays millions of parameter combinations per hour, providing a detailed map of function. The ability to comprehensively map biocircuit parameter spaces allows accurate modeling to predict circuit function and identify optimal circuits and conditions.",

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note = "Funding Information: The authors would like to thank Shaobin Guo at Caltech for providing the plasmids of the IFFL circuit used in this study. This work was supported by the Defense Advanced Research Projects Agency (DARPA) under Living Foundries program (HR0011-12-C-0065). Y. Hori was supported by JSPS Fellowship for Research Abroad.",

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AU - Kantak, Chaitanya

AU - Murray, Richard M.

AU - Abate, Adam R.

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