Evidence map›Paper›PMID 32024292›Full record

ReviewInternational journal of molecular sciences2020

Engineering Biology to Construct Microbial Chassis for the Production of Difficult-to-Express Proteins.

Kangsan Kim, Donghui Choe, Dae-Hee Lee, Byung-Kwan Cho

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Article
  3. A programmableApplied and environmental microbiology · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
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  13. Journal of microbiology and biotechnology · 2024
    Article
  14. Article
  15. Review
  16. Review
  17. 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

4 authors.

Kangsan KimDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea.
Donghui ChoeDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea.ORCID 0000-0003-1107-7380
Dae-Hee LeeSynthetic Biology & Bioengineering Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea.ORCID 0000-0002-0423-9057
Byung-Kwan ChoDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea.

Funding

National Research Foundation of Korea 2018M3A9F3079664National Research Foundation of Korea 2018M3A9H3024759
6 · The paper itself

Abstract

A large proportion of the recombinant proteins manufactured today rely on microbe-based expression systems owing to their relatively simple and cost-effective production schemes. However, several issues in microbial protein expression, including formation of insoluble aggregates, low protein yield, and cell death are still highly recursive and tricky to optimize. These obstacles are usually rooted in the metabolic capacity of the expression host, limitation of cellular translational machineries, or genetic instability. To this end, several microbial strains having precisely designed genomes have been suggested as a way around the recurrent problems in recombinant protein expression. Already, a growing number of prokaryotic chassis strains have been genome-streamlined to attain superior cellular fitness, recombinant protein yield, and stability of the exogenous expression pathways. In this review, we outline challenges associated with heterologous protein expression, some examples of microbial chassis engineered for the production of recombinant proteins, and emerging tools to optimize the expression of heterologous proteins. In particular, we discuss the synthetic biology approaches to design and build and test genome-reduced microbial chassis that carry desirable characteristics for heterologous protein expression.

Indexed as

Gene Expression RegulationAnimalsBacteriaBioengineeringBiotechnologyHumansMetabolic EngineeringRecombinant ProteinsRecombinant Proteinsdifficult-to-express proteinsgenome reductiongenome synthesis.heterologous protein expressionsynthetic biologysystems biology

Identifiers

PMID32024292
PMCPMC7037952

What OpenQuestion holds

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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.