Evidence map›Paper›PMID 36999618›Full record

ArticleNucleic acids research2023

CRISPRi-mediated tunable control of gene expression level with engineered single-guide RNA in Escherichia coli.

Gibyuck Byun, Jina Yang, Sang Woo Seo

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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  5. Article
  6. Coordinating Calvin Cycle and Glycolysis inACS synthetic biology · 2026
    Article
  7. Systematic CRISPRi screening reveals genetic modulators ofbioRxiv : the preprint server for biology · 2026
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Pigments from pathogenic bacteria: a comprehensive update on recent advances.World journal of microbiology & biotechnology · 2024
    Review
  17. Review
  18. Article
  19. CRISPRi: a way to integrate iPSC-derived neuronal models.Biochemical Society transactions · 2024
    Review
  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

3 authors.

Gibyuck ByunSchool of Chemical and Biological Engineering, 1 Gwanak-ro, Gwanak-Gu, Seoul 08826, Korea.
Jina YangDepartment of Chemical Engineering, Jeju National University, 102, Jejudaehak-ro, Jeju-si, Jeju-do 63243, Korea.
Sang Woo SeoSchool of Chemical and Biological Engineering, 1 Gwanak-ro, Gwanak-Gu, Seoul 08826, Korea.ORCID 0000-0002-7434-7053

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precise control of gene expression is essential for flux redistribution in metabolic pathways. Although the CRISPR interference (CRISPRi) system can effectively repress gene expression at the transcriptional level, it has still been difficult to precisely control the level without loss of specificity or an increase in cell toxicity. In this study, we developed a tunable CRISPRi system that performs transcriptional regulation at various levels. We constructed a single-guide RNA (sgRNA) library targeting repeat, tetraloop, and anti-repeat regions to modulate the binding affinity against dCas9. Each screened sgRNA could regulate the gene expression at a certain level between fully-repressing and non-repressing states (>45-fold). These sgRNAs also enabled modular regulation with various target DNA sequences. We applied this system to redistribute the metabolic flux to produce violacein derivatives in a predictable ratio and optimize lycopene production. This system would help accelerate the flux optimization processes in metabolic engineering and synthetic biology.

Indexed as

Escherichia coliGene Expression Regulation, BacterialMetabolic Networks and PathwaysRNA, Guide, CRISPR-Cas SystemsClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID36999618
PMCPMC10201414

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.