Evidence map›Paper›PMID 30858523›Full record

ArticleScientific reports2019

A bacterial display system for effective selection of protein-biotin ligase BirA variants with novel peptide specificity.

Jeff Granhøj, Henrik Dimke, Per Svenningsen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
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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 at 1 institution in 1 country.

Jeff GranhøjDepartment of Molecular Medicine, University of Southern Denmark, Odense, Denmark.
Henrik DimkeDepartment of Molecular Medicine, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-9170-2168
Per SvenningsenDepartment of Molecular Medicine, University of Southern Denmark, Odense, Denmark. psvenningsen@health.sdu.dk.
University of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biotinylation creates a sensitive and specific tag for purification and detection of target proteins. The E. coli protein-biotin ligase BirA biotinylates a lysine within a synthetic biotin acceptor peptide (AP) and allow for specific tagging of proteins fused to the AP. The approach is not applicable to unmodified proteins, and we sought to develop an effective selection system that could form the basis for directed evolution of novel BirA variants with specificity towards unmodified proteins. The system was based on bacterial display of a target peptide sequence, which could be biotinylated by cytosolic BirA variants before being displayed on the surface. In a model selection, the bacterial display system accomplished >1.000.000 enrichment in a single selection step. A randomly mutated BirA library was used to identify novel variants. Bacteria displaying peptide sequences from 13 out of 14 tested proteins were strongly enriched after 3-5 selection rounds. Moreover, a clone selected for biotinylation of a C-terminal peptide from red-fluorescent protein TagRFP showed biotinylation of the native protein. Thus, active BirA variants with novel activity are effectively isolated with our bacterial display system and provides a basis for the development of BirA variants for site-selective biotinylation.

Indexed as

Amino Acid SequenceAnimalsBiotinBiotinylationCarbon-Nitrogen LigasesEscherichia coliEscherichia coli ProteinsHumansMiceModels, BiologicalPeptidesRepressor ProteinsBiotinbirA protein, E coliCarbon-Nitrogen LigasesEscherichia coli ProteinsPeptidesRepressor Proteins

Identifiers

PMID30858523
PMCPMC6411976
OpenAlexW2953238788

What OpenQuestion holds

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LicenceCC BY
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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.