Evidence map›Paper›PMID 33201273›Full record

ReviewApplied microbiology and biotechnology2021

Synthetic small regulatory RNAs in microbial metabolic engineering.

Wen-Hai Xie, Hong-Kuan Deng, Jie Hou, Li-Juan Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Applied microbiology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Design of artificial small regulatorySynthetic and systems biotechnology · 2023
    Article
  9. Review
  10. 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

4 authors.

Wen-Hai XieSchool of Life Sciences, Shandong University of Technology, Zibo, 250049, China.
Hong-Kuan DengSchool of Life Sciences, Shandong University of Technology, Zibo, 250049, China.
Jie HouSchool of Life Sciences, Shandong University of Technology, Zibo, 250049, China.
Li-Juan WangSchool of Life Sciences, Shandong University of Technology, Zibo, 250049, China. wanglijuan@sdut.edu.cn.ORCID http://orcid.org/0000-0001-6505-6900

Funding

National Natural Science Foundation of China 31500086National Natural Science Foundation of China 31971197
6 · The paper itself

Abstract

Small regulatory RNAs (sRNAs) finely control gene expression in prokaryotes and synthetic sRNA has become a useful high-throughput approach to tackle current challenges in metabolic engineering because of its many advantages compared to conventional gene knockouts. In this review, we first focus on the modular structures of sRNAs and rational design strategies of synthetic sRNAs on the basis of their modular structures. The wide applications of synthetic sRNAs in bacterial metabolic engineering, with or without the aid of heterogeneously expressed Hfq protein, were also covered. In addition, we give attention to the improvements in implementing synthetic sRNAs, which make the synthetic sRNA strategy universally applicable in metabolic engineering and synthetic biology. KEY POINTS: • Synthetic sRNAs can be rationally designed based on modular structures of natural sRNAs. • Synthetic sRNAs were widely used for metabolic engineering in various microorganisms. • Several technological improvements made the synthetic sRNA strategy more applicable.

Indexed as

Metabolic EngineeringRNA, Small UntranslatedGene Expression Regulation, BacterialHost Factor 1 ProteinRNA, BacterialSynthetic BiologyHost Factor 1 ProteinRNA, BacterialRNA, Small UntranslatedGene knockdownMetabolic engineeringSmall regulatory RNASynthetic sRNASynthetic sRNA applicationsSynthetic sRNA improvements

Identifiers

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.