Evidence map›Paper›PMID 36130864›Full record

ArticleAngewandte Chemie (International ed. in English)2022

Ultrahigh-Throughput Screening of an Artificial Metalloenzyme using Double Emulsions.

Jaicy Vallapurackal, Ariane Stucki, Alexandria Deliz Liang, Juliane Klehr, Petra S Dittrich, Thomas R Ward

Open access · hybridAbstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Jaicy VallapurackalDepartment of Chemistry, University of Basel, Mattenstrasse 24a, 4058, Basel, Switzerland.ORCID 0000-0002-8424-3792
Ariane StuckiDepartment of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058, Basel, Switzerland.ORCID 0000-0002-5097-5805
Alexandria Deliz LiangDepartment of Chemistry, University of Basel, Mattenstrasse 24a, 4058, Basel, Switzerland.ORCID 0000-0002-9897-2822
Juliane KlehrDepartment of Chemistry, University of Basel, Mattenstrasse 24a, 4058, Basel, Switzerland.ORCID 0000-0002-1219-9171
Petra S DittrichDepartment of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058, Basel, Switzerland.ORCID 0000-0001-5359-8403
Thomas R WardDepartment of Chemistry, University of Basel, Mattenstrasse 24a, 4058, Basel, Switzerland.ORCID 0000-0001-8602-5468
University of Basel · CHETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

MetalloproteinsEmulsionsFlow CytometryHigh-Throughput Screening AssaysMicrofluidicsStreptavidinEmulsionsMetalloproteinsStreptavidinAllylic DeallylationArtificial MetalloenzymesDirected EvolutionDroplet MicrofluidicsHigh-Throughput Screening

Identifiers

PMID36130864
PMCPMC9828110
OpenAlexW4296899757

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.