Evidence map›Paper›PMID 26621913›Full record

ArticleNucleic acids research2016

Automated physics-based design of synthetic riboswitches from diverse RNA aptamers.

Amin Espah Borujeni, Dennis M Mishler, Jingzhi Wang, Walker Huso, Howard M Salis

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
14.2field-weighted citation impact, top 1% 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

69 citing papers in PubMed, 277 citations in OpenAlex.

  1. Design and discovery of 'tug-of-war' riboswitches.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Review
  8. Review
  9. Article
  10. Riboswitch Design Using MODENA.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  11. Article
  12. Article
  13. RNA folding kinetics control riboswitch sensitivity in vivo.bioRxiv : the preprint server for biology · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. Riboswitches, from cognition to transformation.Synthetic and systems biotechnology · 2023
    Review
  18. Article
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Amin Espah BorujeniDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Dennis M MishlerDepartment of Biological Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Jingzhi WangDepartment of Biological Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Walker HusoDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Howard M SalisDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA 16802, USA Department of Chemistry, Emory University, Atlanta, GA 30322, USA salis@psu.edu.
Pennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Riboswitches are shape-changing regulatory RNAs that bind chemicals and regulate gene expression, directly coupling sensing to cellular actuation. However, it remains unclear how their sequence controls the physics of riboswitch switching and activation, particularly when changing the ligand-binding aptamer domain. We report the development of a statistical thermodynamic model that predicts the sequence-structure-function relationship for translation-regulating riboswitches that activate gene expression, characterized inside cells and within cell-free transcription-translation assays. Using the model, we carried out automated computational design of 62 synthetic riboswitches that used six different RNA aptamers to sense diverse chemicals (theophylline, tetramethylrosamine, fluoride, dopamine, thyroxine, 2,4-dinitrotoluene) and activated gene expression by up to 383-fold. The model explains how aptamer structure, ligand affinity, switching free energy and macromolecular crowding collectively control riboswitch activation. Our model-based approach for engineering riboswitches quantitatively confirms several physical mechanisms governing ligand-induced RNA shape-change and enables the development of cell-free and bacterial sensors for diverse applications.

Indexed as

Models, BiologicalSELEX Aptamer TechniqueAlgorithmsAptamers, NucleotideBiosensing TechniquesDopamineHumansIn Vitro TechniquesLuminescent MeasurementsNucleic Acid ConformationPromoter Regions, GeneticProtein BiosynthesisReproducibility of ResultsRiboswitchRNA FoldingThyroxineAptamers, NucleotideDopamineRiboswitchThyroxine

Identifiers

PMID26621913
PMCPMC4705656
OpenAlexW2230709708

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.