Evidence map›Paper›PMID 31637238›Full record

ArticleFrontiers in bioengineering and biotechnology2019

Selection of High Producers From Combinatorial Libraries for the Production of Recombinant Proteins in

Joel Eichmann, Markus Oberpaul, Tobias Weidner, Doreen Gerlach, Peter Czermak

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Vibrio natriegens: Application of a Fast-Growing Halophilic Bacterium.Advances in biochemical engineering/biotechnology · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Strategies to Enhance Periplasmic Recombinant Protein Production Yields inFrontiers in bioengineering and biotechnology · 2021
    Review
  13. Frontiers in microbiology · 2021
    Article
  14. Changes inFrontiers in microbiology · 2020
    Article
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

5 authors at 3 institutions in 1 country.

Joel EichmannInstitute of Bioprocess Engineering and Pharmaceutical Technology, University of Applied Sciences Mittelhessen, Giessen, Germany.
Markus OberpaulBranch for Bioresources, Fraunhofer Institute for Molecular Biology and Applied Ecology, Giessen, Germany.
Tobias WeidnerInstitute of Bioprocess Engineering and Pharmaceutical Technology, University of Applied Sciences Mittelhessen, Giessen, Germany.
Doreen GerlachBranch for Bioresources, Fraunhofer Institute for Molecular Biology and Applied Ecology, Giessen, Germany.
Peter CzermakInstitute of Bioprocess Engineering and Pharmaceutical Technology, University of Applied Sciences Mittelhessen, Giessen, Germany.
Fraunhofer Institute for Molecular Biology and Applied Ecology · DETechnische Hochschule Mittelhessen · DEUniversity of Giessen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimization of recombinant protein production in bacteria is an important stage of process development, especially for difficult-to-express proteins that are particularly sensitive or recalcitrant. The optimal expression level must be neither too low, which would limit yields, nor too high, which would promote the formation of insoluble inclusion bodies. Expression can be optimized by testing different combinations of elements such as ribosome binding sites and N-terminal affinity tags, but the rate of protein synthesis is strongly dependent on mRNA secondary structures so the combined effects of these elements must be taken into account. This substantially increases the complexity of high-throughput expression screening. To address this limitation, we generated libraries of constructs systematically combining different ribosome binding sites, N-terminal affinity tags, and periplasmic translocation sequences representing two secretion pathways. Each construct also contained a green fluorescent protein (GFP) tag to allow the identification of high producers and a thrombin cleavage site enabling the removal of fusion tags. To achieve proof of principle, we generated libraries of 200 different combinations of elements for the expression of an antimicrobial peptide (AMPs), an antifungal peptide, and the enzyme urate oxidase (uricase) in

Indexed as

antimicrobial peptidegenetic engineeringGolden Gatehigh-throughput screeningMoCloprotein secretionuricase

Identifiers

PMID31637238
PMCPMC6788121
OpenAlexW2978613551

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.