Evidence map›Paper›PMID 31898252›Full record

ReviewJournal of microbiology (Seoul, Korea)2020

Recent advances in genetic engineering tools based on synthetic biology.

Jun Ren, Jingyu Lee, Dokyun Na

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of microbiology (Seoul, Korea), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Synthetic bacteria for the detection and bioremediation of heavy metals.Frontiers in bioengineering and biotechnology · 2023
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Research progress of pathway and genome evolution in microbes.Synthetic and systems biotechnology · 2022
    Article
  12. Article
  13. Article
  14. Trans-acting regulators of ribonuclease activity.Journal of microbiology (Seoul, Korea) · 2021
    Review
  15. Article
  16. Synthetic small regulatory RNAs in microbial metabolic engineering.Applied microbiology and biotechnology · 2021
    Review
  17. Review
  18. 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

3 authors.

Jun RenSchool of Integrative Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.
Jingyu LeeSchool of Integrative Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.
Dokyun NaSchool of Integrative Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea. blisszen@cau.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-scale engineering is a crucial methodology to rationally regulate microbiological system operations, leading to expected biological behaviors or enhanced bioproduct yields. Over the past decade, innovative genome modification technologies have been developed for effectively regulating and manipulating genes at the genome level. Here, we discuss the current genome-scale engineering technologies used for microbial engineering. Recently developed strategies, such as clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9, multiplex automated genome engineering (MAGE), promoter engineering, CRISPR-based regulations, and synthetic small regulatory RNA (sRNA)-based knockdown, are considered as powerful tools for genome-scale engineering in microbiological systems. MAGE, which modifies specific nucleotides of the genome sequence, is utilized as a genome-editing tool. Contrastingly, synthetic sRNA, CRISPRi, and CRISPRa are mainly used to regulate gene expression without modifying the genome sequence. This review introduces the recent genome-scale editing and regulating technologies and their applications in metabolic engineering.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsGene EditingGenome, BacterialMetabolic EngineeringPromoter Regions, GeneticSynthetic BiologyCRISPRCRISPRaCRISPRigenome-scale engineeringMAGEmetabolic engineeringpromoter engineeringsynthetic sRNA

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.