Evidence map›Paper›PMID 21255361›Full record

ReviewMicrobial biotechnology2010

Plasmid addiction systems: perspectives and applications in biotechnology.

Jens Kroll, Stefan Klinter, Cornelia Schneider, Isabella Voss, Alexander Steinbüchel

Open access · bronzeAbstract readReview
In one paragraph

Review in Microbial biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
2.3field-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

57 citing papers in PubMed, 136 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Construction of antibiotic-free riboflavin producer inSynthetic and systems biotechnology · 2025
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  11. Article
  12. Article
  13. Stable Platform for Mevalonate Bioproduction from COACS sustainable chemistry & engineering · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. COMicrobial cell factories · 2024
    Article
  18. Chromosomal engineering of inducible isopropanol- butanol-ethanol production inFrontiers in bioengineering and biotechnology · 2023
    Article
  19. Article
  20. Review
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 1 institution in 1 country.

Jens KrollInstitut für Molekulare Mikrobiologie und Biotechnologie, Westfälische Wilhelms-Universität, D-48149 Münster, Germany.
Stefan Klinter
Cornelia Schneider
Isabella Voss
Alexander Steinbüchel
University of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biotechnical production processes often operate with plasmid-based expression systems in well-established prokaryotic and eukaryotic hosts such as Escherichia coli or Saccharomyces cerevisiae, respectively. Genetically engineered organisms produce important chemicals, biopolymers, biofuels and high-value proteins like insulin. In those bioprocesses plasmids in recombinant hosts have an essential impact on productivity. Plasmid-free cells lead to losses in the entire product recovery and decrease the profitability of the whole process. Use of antibiotics in industrial fermentations is not an applicable option to maintain plasmid stability. Especially in pharmaceutical or GMP-based fermentation processes, deployed antibiotics must be inactivated and removed. Several plasmid addiction systems (PAS) were described in the literature. However, not every system has reached a full applicable state. This review compares most known addiction systems and is focusing on biotechnical applications.

Indexed as

Gene ExpressionGenomic InstabilityMicrobial ViabilityPlasmidsBiotechnologyEscherichia coliSaccharomyces cerevisiae

Identifiers

PMID21255361
PMCPMC3815339
OpenAlexW1511389723

What OpenQuestion holds

Textmetadata
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.