Evidence map›Paper›PMID 30911332›Full record

ArticleBiotechnology for biofuels2019

Prediction and characterization of promoters and ribosomal binding sites of

Yongfu Yang, Wei Shen, Ju Huang, Runxia Li, Yubei Xiao, Hui Wei, Yat-Chen Chou, Min Zhang, Michael E Himmel, Shouwen Chen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 119 citations in OpenAlex.

  1. Engineering ethanologenic bacteriumSynthetic and systems biotechnology · 2026
    Article
  2. S267P mutation of OxyR regulator inSynthetic and systems biotechnology · 2026
    Article
  3. Development of Bacillus subtilis cell factories for nutraceuticals production.World journal of microbiology & biotechnology · 2026
    Review
  4. Seven inducible promoters for Zymomonas mobilis.Microbial cell factories · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Metabolic engineering of an industrial bacteriumSynthetic and systems biotechnology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Characterization and Application of the Sugar Transporter Zmo0293 fromInternational journal of molecular sciences · 2023
    Article
  13. Article
  14. Metabolic engineering ofFrontiers in bioengineering and biotechnology · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. 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

13 authors at 2 institutions in 2 countries.

Yongfu Yang *1State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative Innovation Center for Green Transformation of Bio-resources, Environmental Microbial Technology Center of Hubei Province, and School of Life Sciences, Hubei University, Wuhan, 430062 China.
Wei Shen *1State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative Innovation Center for Green Transformation of Bio-resources, Environmental Microbial Technology Center of Hubei Province, and School of Life Sciences, Hubei University, Wuhan, 430062 China.
Ju Huang1State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative Innovation Center for Green Transformation of Bio-resources, Environmental Microbial Technology Center of Hubei Province, and School of Life Sciences, Hubei University, Wuhan, 430062 China.
Runxia Li1State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative Innovation Center for Green Transformation of Bio-resources, Environmental Microbial Technology Center of Hubei Province, and School of Life Sciences, Hubei University, Wuhan, 430062 China.
Yubei Xiao1State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative Innovation Center for Green Transformation of Bio-resources, Environmental Microbial Technology Center of Hubei Province, and School of Life Sciences, Hubei University, Wuhan, 430062 China.
Hui Wei2Biosciences Center, National Renewable Energy Laboratory, Golden, CO 80401 USA.
Yat-Chen Chou3National Bioenergy Center, National Renewable Energy Laboratory, Golden, CO 80401 USA.
Min Zhang2Biosciences Center, National Renewable Energy Laboratory, Golden, CO 80401 USA.
Michael E Himmel2Biosciences Center, National Renewable Energy Laboratory, Golden, CO 80401 USA.
Shouwen Chen1State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative Innovation Center for Green Transformation of Bio-resources, Environmental Microbial Technology Center of Hubei Province, and School of Life Sciences, Hubei University, Wuhan, 430062 China.
Li Yi1State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative Innovation Center for Green Transformation of Bio-resources, Environmental Microbial Technology Center of Hubei Province, and School of Life Sciences, Hubei University, Wuhan, 430062 China.
Lixin Ma1State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative Innovation Center for Green Transformation of Bio-resources, Environmental Microbial Technology Center of Hubei Province, and School of Life Sciences, Hubei University, Wuhan, 430062 China.
Shihui Yang1State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative Innovation Center for Green Transformation of Bio-resources, Environmental Microbial Technology Center of Hubei Province, and School of Life Sciences, Hubei University, Wuhan, 430062 China.ORCID 0000-0002-9394-9148
Hubei University · CNNational Laboratory of the Rockies · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

resultsIn this study, we explored the possibility to systematically predict the strength of promoters based on systems biology datasets. The promoter strength was clustered based on the expression values of downstream genes (or proteins) from systems biology studies including microarray, RNA-Seq and proteomics. Candidate promoters with different strengths were selected for further characterization, which include 19 strong, nine medium, and ten weak ones. A dual reporter-gene system was developed which included appropriate reporter genes. These are the

conclusionsThis study not only identified and characterized 38 promoters and four RBSs with different strengths for future metabolic engineering in

Indexed as

Dual reporter-gene systemPromoterReporter genesRibosomal binding site (RBS)Systems biologyZymomonas mobilis

Identifiers

PMID30911332
PMCPMC6417218
OpenAlexW2922357899

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.