Evidence map›Paper›PMID 19381267›Full record

ArticlePLoS computational biology2009

Design principles for riboswitch function.

Chase L Beisel, Christina D Smolke

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

57 citing papers in PubMed, 129 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Riboswitches, from cognition to transformation.Synthetic and systems biotechnology · 2023
    Review
  8. Article
  9. Article
  10. Using sliding mode observers to estimateIET systems biology · 2020
    Article
  11. Review
  12. Article
  13. Riboflow: Using Deep Learning to Classify Riboswitches With ∼99% Accuracy.Frontiers in bioengineering and biotechnology · 2020
    Article
  14. Evaluating riboswitch optimality.Methods in enzymology · 2019
    Article
  15. Review
  16. Dynamic metabolic control: towards precision engineering of metabolism.Journal of industrial microbiology & biotechnology · 2018
    Article
  17. Article
  18. Synthetic Botany.Cold Spring Harbor perspectives in biology · 2017
    Review
  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

2 authors at 1 institution in 1 country.

Chase L BeiselDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, USA.
Christina D Smolke
California Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scientific and technological advances that enable the tuning of integrated regulatory components to match network and system requirements are critical to reliably control the function of biological systems. RNA provides a promising building block for the construction of tunable regulatory components based on its rich regulatory capacity and our current understanding of the sequence-function relationship. One prominent example of RNA-based regulatory components is riboswitches, genetic elements that mediate ligand control of gene expression through diverse regulatory mechanisms. While characterization of natural and synthetic riboswitches has revealed that riboswitch function can be modulated through sequence alteration, no quantitative frameworks exist to investigate or guide riboswitch tuning. Here, we combined mathematical modeling and experimental approaches to investigate the relationship between riboswitch function and performance. Model results demonstrated that the competition between reversible and irreversible rate constants dictates performance for different regulatory mechanisms. We also found that practical system restrictions, such as an upper limit on ligand concentration, can significantly alter the requirements for riboswitch performance, necessitating alternative tuning strategies. Previous experimental data for natural and synthetic riboswitches as well as experiments conducted in this work support model predictions. From our results, we developed a set of general design principles for synthetic riboswitches. Our results also provide a foundation from which to investigate how natural riboswitches are tuned to meet systems-level regulatory demands.

Indexed as

Models, GeneticRegulatory Sequences, Ribonucleic AcidBase SequenceGene Expression RegulationMolecular Sequence DataRibosomesRNA, MessengerRegulatory Sequences, Ribonucleic AcidRNA, Messenger

Identifiers

PMID19381267
PMCPMC2666153
OpenAlexW2023537137

What OpenQuestion holds

Textmetadata
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.