Evidence map›Paper›PMID 25589545›Full record

ArticleNucleic acids research2015

Amplification of small molecule-inducible gene expression via tuning of intracellular receptor densities.

Baojun Wang, Mauricio Barahona, Martin Buck

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Review
  2. Article
  3. Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  4. Mining Genetically Encoded Biosensors from Filamentous Fungi.Journal of fungi (Basel, Switzerland) · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. AFrontiers in systems biology · 2025
    Article
  11. Review
  12. Article
  13. Toolbox of Characterized Genetic Parts forACS synthetic biology · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. Analytical chemistry · 2022
    Article
  18. An operator-based expression toolkit forProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  19. 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.

Baojun Wang
Mauricio Barahona
Martin Buck

Funding

Biotechnology and Biological Sciences Research Council BB/G020434/1Biotechnology and Biological Sciences Research Council BB/K016288/1Wellcome Trust
6 · The paper itself

Abstract

Ligand-responsive transcription factors in prokaryotes found simple small molecule-inducible gene expression systems. These have been extensively used for regulated protein production and associated biosynthesis of fine chemicals. However, the promoter and protein engineering approaches traditionally used often pose significant restrictions to predictably and rapidly tune the expression profiles of inducible expression systems. Here, we present a new unified and rational tuning method to amplify the sensitivity and dynamic ranges of versatile small molecule-inducible expression systems. We employ a systematic variation of the concentration of intracellular receptors for transcriptional control. We show that a low density of the repressor receptor (e.g. TetR and ArsR) in the cell can significantly increase the sensitivity and dynamic range, whereas a high activator receptor (e.g. LuxR) density achieves the same outcome. The intracellular concentration of receptors can be tuned in both discrete and continuous modes by adjusting the strength of their cognate driving promoters. We exemplified this approach in several synthetic receptor-mediated sensing circuits, including a tunable cell-based arsenic sensor. The approach offers a new paradigm to predictably tune and amplify ligand-responsive gene expression with potential applications in synthetic biology and industrial biotechnology.

Indexed as

Gene ExpressionBase SequenceCulture MediaDNA PrimersEscherichia coliPlasmidsTranscription, GeneticCulture MediaDNA Primers

Identifiers

PMID25589545
PMCPMC4330358

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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.