Evidence map›Paper›PMID 21097777›Full record

ArticleNucleic acids research2011

Tertiary contacts control switching of the SAM-I riboswitch.

Scott P Hennelly, Karissa Y Sanbonmatsu

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

32 citing papers in PubMed, 49 citations in OpenAlex.

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  17. Dynamics of riboswitches: Molecular simulations.Biochimica et biophysica acta · 2014
    Review
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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.

Scott P HennellyTheoretical Biology and Biophysics, Theoretical Division, Los Alamos National Laboratory, Los Alamos, 87545 New Mexico, USA.
Karissa Y Sanbonmatsu
Los Alamos National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Riboswitches are non-coding RNAs that control gene expression by sensing small molecules through changes in secondary structure. While secondary structure and ligand interactions are thought to control switching, the exact mechanism of control is unknown. Using a novel two-piece assay that competes the anti-terminator against the aptamer, we directly monitor the process of switching. We find that the stabilization of key tertiary contacts controls both aptamer domain collapse and the switching of the SAM-I riboswitch from the aptamer to the expression platform conformation. Our experiments demonstrate that SAM binding induces structural alterations that indirectly stabilize the aptamer domain, preventing switching toward the expression platform conformer. These results, combined with a variety of structural probing experiments performed in this study, show that the collapse and stabilization of the aptamer domain are cooperative, relying on the sum of key tertiary contacts and the bimodal stability of the kink-turn motif for function. Here, ligand binding serves to shift the equilibrium of aptamer domain structures from a more open toward a more stable collapsed form by stabilizing tertiary interactions. Our data show that the thermodynamic landscape for riboswitch operation is finely balanced to allow large conformational rearrangements to be controlled by small molecule interactions.

Indexed as

Amino Acid SequenceAptamers, NucleotideLigandsMolecular Sequence DataMutationNucleic Acid ConformationRNA, Small UntranslatedS-AdenosylmethionineThermodynamicsAptamers, NucleotideLigandsRNA, Small UntranslatedS-Adenosylmethionine

Identifiers

PMID21097777
PMCPMC3064774
OpenAlexW2168438222

What OpenQuestion holds

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LicenceCC BY-NC
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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.