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Ultrahigh‐Throughput Screening of an Artificial Metalloenzyme using Double Emulsions

Vallapurackal, Jaicy; Stucki, Ariane; Liang, Alexandria Deliz; Klehr, Juliane; Dittrich, Petra S; Ward, Thomas R (2022). Ultrahigh‐Throughput Screening of an Artificial Metalloenzyme using Double Emulsions. Angewandte Chemie Internationale Edition, 61(48):e202207328.

Abstract

The potential for ultrahigh-throughput compartmentalization renders droplet microfluidics an attractive tool for the directed evolution of enzymes. Importantly, it ensures maintenance of the phenotype-genotype linkage, enabling reliable identification of improved mutants. Herein, we report an approach for ultrahigh-throughput screening of an artificial metalloenzyme in double emulsion droplets (DEs) using commercially available fluorescence-activated cell sorters (FACS). This protocol was validated by screening a 400 double-mutant streptavidin library for ruthenium-catalyzed deallylation of an alloc-protected aminocoumarin. The most active variants, identified by next-generation sequencing, were in good agreement with hits obtained using a 96-well plate procedure. These findings pave the way for the systematic implementation of FACS for the directed evolution of (artificial) enzymes and will significantly expand the accessibility of ultrahigh-throughput DE screening protocols.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Department of Chemistry
Dewey Decimal Classification:540 Chemistry
Scopus Subject Areas:Physical Sciences > Catalysis
Physical Sciences > General Chemistry
Uncontrolled Keywords:General Chemistry, Catalysis
Language:English
Date:25 November 2022
Deposited On:09 Jan 2023 08:14
Last Modified:28 Dec 2024 02:39
Publisher:Wiley-VCH Verlag
ISSN:1433-7851
OA Status:Green
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1002/anie.202207328
PubMed ID:36130864
Project Information:
  • Funder: SNF
  • Grant ID: 200020_182046
  • Project Title:
  • Funder: European Research Council
  • Grant ID: DrEAM—694424
  • Project Title:
  • Funder: European Research Council
  • Grant ID: HybCell-681587
  • Project Title:
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  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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