Evidence map›Paper›PMID 25212246›Full record

ReviewJournal of industrial microbiology & biotechnology2014

Molecular engineering of secretory machinery components for high-level secretion of proteins in Bacillus species.

Zhen Kang, Sen Yang, Guocheng Du, Jian Chen

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Journal of industrial microbiology & biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 73 citations in OpenAlex.

  1. System reconstruction ofSynthetic and systems biotechnology · 2027
    Article
  2. Review
  3. Article
  4. Advances in microbial biosynthesis of indirubin.Chinese herbal medicines · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. New Insights on Metabolic Features ofInternational journal of molecular sciences · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Microbial production of nattokinase: current progress, challenge and prospect.World journal of microbiology & biotechnology · 2017
    Review
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Zhen KangThe Key Laboratory of Industrial Biotechnology, Ministry of Education, Jiangnan University, Wuxi, 214122, China, zkang@jiangnan.edu.cn.
Sen Yang
Guocheng Du
Jian Chen
Jiangnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secretory expression of valuable enzymes by Bacillus subtilis and its related species has attracted intensive work over the past three decades. Although many proteins have been expressed and secreted, the titers of some recombinant enzymes are still low to meet the needs of practical applications. Signal peptides that located at the N-terminal of nascent peptide chains play crucial roles in the secretion process. In this mini-review, we summarize recent progress in secretory expression of recombinant proteins in Bacillus species. In particular, we highlighted and discussed the advances in molecular engineering of secretory machinery components, construction of signal sequence libraries and identification of functional signal peptides with high-throughput screening strategy. The prospects of future research are also proposed.

Indexed as

Protein EngineeringSecretory PathwayBacillusBacillus subtilisProtein Sorting SignalsRecombinant ProteinsProtein Sorting SignalsRecombinant Proteins

Identifiers

PMID25212246
OpenAlexW1977095525

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.