Evidence map›Paper›PMID 30602542›Full record

ReviewCold Spring Harbor perspectives in biology2019

RNA Switches for Synthetic Biology.

Calvin M Schmidt, Christina D Smolke

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Riboswitch Design Using MODENA.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  8. Advancing in vivo reprogramming with synthetic biology.Current opinion in biotechnology · 2024
    Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Discovering riboswitches: the past and the future.Trends in biochemical sciences · 2023
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. The case of the missing allosteric ribozymes.Nature chemical biology · 2021
    Review
  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

2 authors.

Calvin M SchmidtDepartment of Bioengineering, Stanford University, Stanford, California 94305.
Christina D SmolkeDepartment of Bioengineering, Stanford University, Stanford, California 94305.

Funding

Frameworks for programming ligand-responsive RNA regulatory systemsR01GM086663 · NIGMS · STANFORD UNIVERSITY · PI ENDY, DREW · 2009 to 2024
$3.7M
NIGMS NIH HHS R01 GM086663
6 · The paper itself

Abstract

In addition to coding for protein sequences, RNA molecules encode a diverse set of gene-regulatory elements. RNA switches are one class of gene-regulatory elements that control protein expression in a manner that is dependent on the concentration of specific ligand molecules. These allosteric gene-regulatory elements have been shown as useful tools in engineering diverse cell types to display novel function. In particular, RNA switches have been used as genetically encoded biosensors and conditional controllers to direct cellular decisions based on the system's changing environment. A significant focus in the field has been the generation of novel RNA switches that are tailored for different biological systems. We review approaches that have been used to generate RNA switches, which leverage the unique physical properties of RNA and the myriad ways in which RNA can modulate gene expression.

Indexed as

Allosteric SiteBacillotaBacillus subtilisBacterial ProteinsBiosensing TechniquesEscherichia coliGene ExpressionGene LibraryLigandsMycobacterium smegmatisProtein ConformationProtein EngineeringProtein FoldingProtein Structure, SecondaryProtein Structure, TertiaryReproducibility of ResultsBacterial ProteinsLigandsRNA

Identifiers

PMID30602542
PMCPMC6314069

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.