Evidence map›Paper›PMID 33367820›Full record

ArticleNucleic acids research2021

Programmable gene regulation for metabolic engineering using decoy transcription factor binding sites.

Tiebin Wang, Nathan Tague, Stephen A Whelan, Mary J Dunlop

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
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  13. A plasmid system with tunable copy number.Nature communications · 2022
    Article
  14. Engineering robust microorganisms for organic acid production.Journal of industrial microbiology & biotechnology · 2022
    Review
  15. Stabilization of antithetic control via molecular buffering.Journal of the Royal Society, Interface · 2022
    Article
  16. The transcription activator AtxA fromSynthetic biology (Oxford, England) · 2022
    Article
  17. Article
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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 at 1 institution in 1 country.

Tiebin WangMolecular Biology, Cell Biology & Biochemistry, Boston University, Boston, MA 02215, USA.
Nathan TagueBiological Design Center, Boston University, Boston, MA 02215, USA.
Stephen A WhelanChemistry, Boston University, Boston, MA 02215, USA.
Mary J DunlopMolecular Biology, Cell Biology & Biochemistry, Boston University, Boston, MA 02215, USA.
Boston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription factor decoy binding sites are short DNA sequences that can titrate a transcription factor away from its natural binding site, therefore regulating gene expression. In this study, we harness synthetic transcription factor decoy systems to regulate gene expression for metabolic pathways in Escherichia coli. We show that transcription factor decoys can effectively regulate expression of native and heterologous genes. Tunability of the decoy can be engineered via changes in copy number or modifications to the DNA decoy site sequence. Using arginine biosynthesis as a showcase, we observed a 16-fold increase in arginine production when we introduced the decoy system to steer metabolic flux towards increased arginine biosynthesis, with negligible growth differences compared to the wild type strain. The decoy-based production strain retains high genetic integrity; in contrast to a gene knock-out approach where mutations were common, we detected no mutations in the production system using the decoy-based strain. We further show that transcription factor decoys are amenable to multiplexed library screening by demonstrating enhanced tolerance to pinene with a combinatorial decoy library. Our study shows that transcription factor decoy binding sites are a powerful and compact tool for metabolic engineering.

Indexed as

Binding SitesMolecular MimicryArginineBacterial ProteinsBase SequenceBicyclic MonoterpenesBinding, CompetitiveDrug DesignDrug Resistance, BacterialEscherichia coliEscherichia coli ProteinsGene DosageGene Expression RegulationGenes, SyntheticLac RepressorsMetabolic Engineeringalpha-pineneArginineArgR protein, BacteriaBacterial ProteinsBicyclic MonoterpenesEscherichia coli ProteinsLacI protein, E coliLac RepressorsRepressor ProteinsTetR(B) protein, E coliTrans-ActivatorsTranscription Factors

Identifiers

PMID33367820
PMCPMC7826281
OpenAlexW3114591951

What OpenQuestion holds

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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.