Evidence map›Paper›PMID 28193216›Full record

ArticleMicrobial cell factories2017

A high-throughput expression screening platform to optimize the production of antimicrobial peptides.

Christine Schreiber, Hagen Müller, Oliver Birrenbach, Moritz Klein, Doreen Heerd, Tobias Weidner, Denise Salzig, Peter Czermak

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 58 citations in OpenAlex.

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  10. Efficient Production of Broad-Spectrum Antimicrobials byFrontiers in bioengineering and biotechnology · 2022
    Article
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  15. Single-cell cloning enables the selection of more productiveBiotechnology reports (Amsterdam, Netherlands) · 2018
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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

8 authors at 3 institutions in 2 countries.

Christine SchreiberUniversity of Applied Sciences Mittelhessen, Wiesenstraße 14, 35390, Giessen, Germany.
Hagen MüllerUniversity of Applied Sciences Mittelhessen, Wiesenstraße 14, 35390, Giessen, Germany.
Oliver BirrenbachUniversity of Applied Sciences Mittelhessen, Wiesenstraße 14, 35390, Giessen, Germany.
Moritz KleinUniversity of Applied Sciences Mittelhessen, Wiesenstraße 14, 35390, Giessen, Germany.
Doreen HeerdFraunhofer Institute for Molecular Biology and Applied Ecology (IME), Project group Bioresources, Giessen, Germany.
Tobias WeidnerFraunhofer Institute for Molecular Biology and Applied Ecology (IME), Project group Bioresources, Giessen, Germany.
Denise SalzigUniversity of Applied Sciences Mittelhessen, Wiesenstraße 14, 35390, Giessen, Germany. denise.salzig@lse.thm.de.
Peter CzermakUniversity of Applied Sciences Mittelhessen, Wiesenstraße 14, 35390, Giessen, Germany. peter.czermak@lse.thm.de.ORCID http://orcid.org/0000-0001-7485-500X
Technische Hochschule Mittelhessen · DEFraunhofer Institute for Molecular Biology and Applied Ecology · DEKansas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial peptides (AMPs) are promising candidates for the development of novel antibiotics, but it is difficult to produce sufficient quantities for preclinical and clinical studies due to their toxicity towards microbial expression hosts. To avoid laborious trial-and-error testing for the identification of suitable expression constructs, we have developed a small-scale expression screening platform based on a combinatorial plasmid library.

resultsThe combinatorial library is based on the Golden Gate cloning system. In each reaction, six donor plasmids (each containing one component: a promoter, fusion partner 1, fusion partner 2, protease cleavage site, gene of interest, or transcriptional terminator) were combined with one acceptor plasmid to yield the final expression construct. As a proof of concept, screening was carried out in Escherichia coli and Pichia pastoris to study the expression of three different model AMPs with challenging characteristics, such as host toxicity or multiple disulfide bonds. The corresponding genes were successfully cloned in 27 E. coli and 18 P. pastoris expression plasmids, each in a one-step Golden Gate reaction. After transformation, small-scale expression screening in microtiter plates was followed by AMP quantification using a His

conclusionsThe optimization of recombinant protein production is best achieved from first principles by initially optimizing the genetic construct. The unrestricted combination of multiple plasmid features yields a comprehensive library of expression strains that can be screened for optimal productivity. The availability of such a platform could benefit all laboratories working in the field of recombinant protein expression.

Indexed as

Gene LibraryPlasmidsAnti-Infective AgentsAntimicrobial Cationic PeptidesCloning, MolecularEscherichia coliHigh-Throughput Screening AssaysPichiaPromoter Regions, GeneticRecombinant ProteinsAnti-Infective AgentsAntimicrobial Cationic PeptidesRecombinant ProteinsAntimicrobial peptidesCombinatorial libraryE. coliExpression screeningExpression strainFusion proteinGolden Gate cloningP. pastorisPromoterRecombinant protein production

Identifiers

PMID28193216
PMCPMC5307881
OpenAlexW2587993424

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.