Evidence map›Paper›PMID 32413179›Full record

ArticleChembiochem : a European journal of chemical biology2020

Bacterial Cell Display as a Robust and Versatile Platform for Engineering Low-Affinity Ligands and Enzymes.

Eszter Csibra, Marleen Renders, Vitor B Pinheiro

Abstract read
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 2020. 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
–field-weighted citation impact
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.

  1. Review
  2. Review
  3. Display of Lignin Peroxidase on the Surface of Bacillus subtilis.Applied biochemistry and biotechnology · 2024
    Article
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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

3 authors.

Eszter CsibraUniversity College London, Department of Structural and Molecular Biology, Gower Street, London, WC1E 6BT, UK.
Marleen RendersRega Institute for Medical Research, KU Leuven, Herestraat, 49 box 1041, 3000, Leuven, Belgium.
Vitor B PinheiroUniversity College London, Department of Structural and Molecular Biology, Gower Street, London, WC1E 6BT, UK.ORCID 0000-0003-2491-0028

Funding

BBSRC BB/N010221/1
6 · The paper itself

Abstract

Directed evolution has been remarkably successful at expanding the chemical and functional boundaries of biology. That progress is heavily dependent on the robustness and flexibility of the available selection platforms, given the significant cost to (re)develop a given platform to target a new desired function. Bacterial cell display has a significant track record as a viable strategy for the engineering of mesophilic enzymes, as enzyme activity can be probed directly and free from interference from the cellular milieu, but its adoption has lagged behind other display-based methods. Herein, we report the development of SNAP as a quantitative reporter for bacterial cell display, which enables fast troubleshooting and the systematic development of the display-based selection platform, thus improving its robustness. In addition, we demonstrate that even weak interactions between displayed proteins and nucleic acids can be harnessed for the specific labelling of bacterial cells, allowing functional characterisation of DNA binding proteins and enzymes, thus making it a highly flexible platform for these biochemical functions. Together, this establishes bacterial display as a robust and flexible platform, ideally suited for the systematic engineering of ligands and enzymes needed for XNA molecular biology.

Indexed as

BioengineeringAlkyl and Aryl TransferasesBacteriaHumansLigandsNucleic AcidsXenobioticsAlkyl and Aryl TransferasesDNA alkyltransferaseLigandsNucleic AcidsXenobioticsbacterial cell displaydirected evolutionXNA molecular biology

Identifiers

PMID32413179
PMCPMC7586821

What OpenQuestion holds

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Registered trials

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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.