Evidence map›Paper›PMID 29967470›Full record

ArticleScientific reports2018

A Canonical Biophysical Model of the CsrA Global Regulator Suggests Flexible Regulator-Target Interactions.

A N Leistra, G Gelderman, S W Sowa, A Moon-Walker, H M Salis, L M Contreras

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. mBio · 2024
    Article
  8. Article
  9. Article
  10. Multitier regulation of theJournal of bacteriology · 2024
    Article
  11. Article
  12. CsrA Shows Selective Regulation of sRNA-mRNA Networks.bioRxiv : the preprint server for biology · 2023
    Article
  13. CsrA selectively modulates sRNA-mRNA regulator outcomes.Frontiers in molecular biosciences · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. 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

6 authors.

A N LeistraMcKetta Department of Chemical Engineering, University of Texas at Austin, 200 E. Dean Keeton St. Stop C0400, Austin, TX, 78712, USA.
G GeldermanMcKetta Department of Chemical Engineering, University of Texas at Austin, 200 E. Dean Keeton St. Stop C0400, Austin, TX, 78712, USA.ORCID 0000-0002-0618-2971
S W SowaMicrobiology Graduate Program, University of Texas at Austin, 100 E. 24th St. Stop A6500, Austin, TX, 78712, USA.
A Moon-WalkerBiological Sciences Program College of Natural Sciences, University of Texas at Austin, 120 Inner Campus Drive Stop G2500, Austin, TX, 78712, USA.
H M SalisDepartment of Chemical Engineering, Pennsylvania State University, 210 Agricultural Engineering Building, University Park, PA, 16802, USA.
L M ContrerasMcKetta Department of Chemical Engineering, University of Texas at Austin, 200 E. Dean Keeton St. Stop C0400, Austin, TX, 78712, USA. lcontrer@che.utexas.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial global post-transcriptional regulators execute hundreds of interactions with targets that display varying molecular features while retaining specificity. Herein, we develop, validate, and apply a biophysical, statistical thermodynamic model of canonical target mRNA interactions with the CsrA global post-transcriptional regulator to understand the molecular features that contribute to target regulation. Altogether, we model interactions of CsrA with a pool of 236 mRNA: 107 are experimentally regulated by CsrA and 129 are suspected interaction partners. Guided by current understanding of CsrA-mRNA interactions, we incorporate (i) mRNA nucleotide sequence, (ii) cooperativity of CsrA-mRNA binding, and (iii) minimization of mRNA structural changes to identify an ensemble of likely binding sites and their free energies. The regulatory impact of bound CsrA on mRNA translation is determined with the RBS calculator. Predicted regulation of 66 experimentally regulated mRNAs adheres to the principles of canonical CsrA-mRNA interactions; the remainder implies that other, diverse mechanisms may underlie CsrA-mRNA interaction and regulation. Importantly, results suggest that this global regulator may bind targets in multiple conformations, via flexible stretches of overlapping predicted binding sites. This novel observation expands the notion that CsrA always binds to its targets at specific consensus sequences.

Indexed as

Models, Theoretical5' Untranslated RegionsBinding SitesBiophysicsEscherichia coli ProteinsGene Expression Regulation, BacterialNucleic Acid ConformationRepressor ProteinsReproducibility of ResultsRNA-Binding ProteinsRNA, MessengerThermodynamics5' Untranslated RegionsCsrA protein, E coliEscherichia coli ProteinsRepressor ProteinsRNA-Binding ProteinsRNA, Messenger

Identifiers

PMID29967470
PMCPMC6028588

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.