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Abatemarco J, Sarhan MF, Wagner JM, Lin JL, Liu L, Hassouneh W, Yuan SF, Alper HS, Abate AR. RNA-aptamers-in-droplets (RAPID) high-throughput screening for secretory phenotypes. Nat Commun 2017; 8:332. [PMID: 28835641 PMCID: PMC5569033 DOI: 10.1038/s41467-017-00425-7] [Citation(s) in RCA: 85] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Accepted: 06/23/2017] [Indexed: 11/21/2022] Open
Abstract
Synthetic biology and metabolic engineering seek to re-engineer microbes into "living foundries" for the production of high value chemicals. Through a "design-build-test" cycle paradigm, massive libraries of genetically engineered microbes can be constructed and tested for metabolite overproduction and secretion. However, library generation capacity outpaces the rate of high-throughput testing and screening. Well plate assays are flexible but with limited throughput, whereas droplet microfluidic techniques are ultrahigh-throughput but require a custom assay for each target. Here we present RNA-aptamers-in-droplets (RAPID), a method that greatly expands the generality of ultrahigh-throughput microfluidic screening. Using aptamers, we transduce extracellular product titer into fluorescence, allowing ultrahigh-throughput screening of millions of variants. We demonstrate the RAPID approach by enhancing production of tyrosine and secretion of a recombinant protein in Saccharomyces cerevisiae by up to 28- and 3-fold, respectively. Aptamers-in-droplets affords a general approach for evolving microbes to synthesize and secrete value-added chemicals.Screening libraries of genetically engineered microbes for secreted products is limited by the available assay throughput. Here the authors combine aptamer-based fluorescent detection with droplet microfluidics to achieve high throughput screening of yeast strains engineered for enhanced tyrosine or streptavidin production.
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Affiliation(s)
- Joseph Abatemarco
- Department of Chemical Engineering, The University of Texas at Austin, 200 E Dean Keeton St Stop C0400, Austin, Texas, 78712, USA
| | - Maen F Sarhan
- Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, 94158, California, USA
- California Institute for Quantitative Biosciences, University of California San Francisco, San Francisco, 94158, California, USA
| | - James M Wagner
- Department of Chemical Engineering, The University of Texas at Austin, 200 E Dean Keeton St Stop C0400, Austin, Texas, 78712, USA
| | - Jyun-Liang Lin
- Department of Chemical Engineering, The University of Texas at Austin, 200 E Dean Keeton St Stop C0400, Austin, Texas, 78712, USA
| | - Leqian Liu
- Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, 94158, California, USA
- California Institute for Quantitative Biosciences, University of California San Francisco, San Francisco, 94158, California, USA
| | - Wafa Hassouneh
- Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, 94158, California, USA
- California Institute for Quantitative Biosciences, University of California San Francisco, San Francisco, 94158, California, USA
- Chan Zuckerberg Biohub, San Francisco, 94158, California, USA
| | - Shuo-Fu Yuan
- Institute for Cellular and Molecular Biology, The University of Texas at Austin, 2500 Speedway Avenue, Austin, Texas, 78712, USA
| | - Hal S Alper
- Department of Chemical Engineering, The University of Texas at Austin, 200 E Dean Keeton St Stop C0400, Austin, Texas, 78712, USA.
- Institute for Cellular and Molecular Biology, The University of Texas at Austin, 2500 Speedway Avenue, Austin, Texas, 78712, USA.
| | - Adam R Abate
- Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, 94158, California, USA.
- California Institute for Quantitative Biosciences, University of California San Francisco, San Francisco, 94158, California, USA.
- Chan Zuckerberg Biohub, San Francisco, 94158, California, USA.
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