Evidence map›Paper›PMID 30706208›Full record

ReviewWorld journal of microbiology & biotechnology2019

Recent advances in the applications of promoter engineering for the optimization of metabolite biosynthesis.

Ning Xu, Liang Wei, Jun Liu

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of microbiology & biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 109 citations in OpenAlex.

  1. Article
  2. Review
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  16. Review
  17. Article
  18. Tuning of Protein Expression by Promoter Engineering.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  19. Fine-Tuning Gene Expression in Bacteria by Synthetic Promoters.Methods in molecular biology (Clifton, N.J.) · 2024
    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

3 authors at 2 institutions in 1 country.

Ning XuTianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, People's Republic of China.
Liang WeiTianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, People's Republic of China.
Jun LiuTianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, People's Republic of China. liu_jun@tib.cas.cn.
Tianjin Institute of Industrial Biotechnology · CNUniversity of Chinese Academy of Sciences · CN

Funding

Key Projects in the Tianjin Science and Technology Pillar Program 14ZCZDSY00058National Natural Science Foundation of China 31500044National Natural Science Foundation of China 31801526Natural Science Foundation of Tianjin City 17JCQNJC09600Natural Science Foundation of Tianjin City 17JCYBJC24000Tianjin Science and Technology Project 15PTCYSY00020
6 · The paper itself

Abstract

Cell metabolism in living organisms is largely regulated at the transcriptional level, and the promoters are regarded as basic regulatory elements responsible for transcription initiation. Promoter engineering is an important technique to regulate gene expression and optimize metabolite biosynthesis in metabolic engineering and synthetic biology. The rational and precise control of gene expression in the multi-gene pathways can significantly affect the metabolic flux distribution and maximize the production of specific metabolites. Thus, many efforts have been made to identify natural promoters, construct inducible or hybrid promoters, and design artificial promoters for fine-tuning specific gene expression at the transcriptional level and improving production levels of the metabolites of interest. In this review, we will briefly introduce the architecture and function of both prokaryotic and eukaryotic promoters, and provide an overview of several major approaches for promoter engineering. The recent achievements and advances by promoter engineering for the optimization of metabolite biosynthetic pathways in multiple widely-used model microorganism, including Escherichia coli, Corynebacterium glutamicum and Saccharomyces cerevisiae, will also be extensively discussed.

Indexed as

Metabolic EngineeringPromoter Regions, GeneticCorynebacterium glutamicumEscherichia coliSaccharomyces cerevisiaeSynthetic BiologyGene expressionPathway optimizationPromoter

Identifiers

PMID30706208
OpenAlexW2912950649

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.