Evidence map›Paper›PMID 39362695›Full record

ArticleRNA (New York, N.Y.)2024

Exploring the energetic and conformational properties of the sequence space connecting naturally occurring RNA tetraloop receptor motifs.

John H Shin, Lena M Cuevas, Rohit Roy, Steve L Bonilla, Hashim Al-Hashimi, William J Greenleaf, Daniel Herschlag

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

John H ShinDepartment of Biochemistry, Stanford University, Stanford, California 94305, USA.ORCID http://orcid.org/0000-0001-8919-307X
Lena M CuevasDepartment of Chemistry and Chemical Biology, Cornell University, Ithaca, New York 14850, USA.ORCID http://orcid.org/0000-0003-3857-5566
Rohit RoyCenter for Genomic and Computational Biology, Duke University School of Medicine, Durham, North Carolina 27710, USA.ORCID http://orcid.org/0000-0001-8569-3245
Steve L BonillaLaboratory of RNA Structural Biology and Biophysics, The Rockefeller University, New York, New York 10065, USA.ORCID http://orcid.org/0000-0002-6526-7158
Hashim Al-HashimiDepartment of Biochemistry and Molecular Biophysics, Columbia University, New York, New York 10032, USA.
William J GreenleafDepartment of Genetics, Stanford University, Stanford, California 94305, USA.ORCID http://orcid.org/0000-0003-1409-3095
Daniel HerschlagDepartment of Biochemistry, Stanford University, Stanford, California 94305, USA herschla@stanford.edu.ORCID http://orcid.org/0000-0002-4685-1973

Funding

Fundamental Studies of RNA Conformational ThermodynamicsR01GM132899 · NIGMS · STANFORD UNIVERSITY · PI AL-HASHIMI, HASHIM M, HERSCHLAG, DANIEL · 2019 to 2022
$2.7M
NIGMS NIH HHS R01 GM132899
6 · The paper itself

Abstract

Folded RNAs contain tertiary contact motifs whose structures and energetics are conserved across different RNAs. The transferable properties of RNA motifs simplify the RNA folding problem, but measuring energetic and conformational properties of many motifs remains a challenge. Here, we use a high-throughput thermodynamic approach to investigate how sequence changes alter the binding properties of naturally occurring motifs, the GAAA tetraloop • tetraloop receptor (TLR) interactions. We measured the binding energies and conformational preferences of TLR sequences that span mutational pathways from the canonical 11ntR to two other natural TLRs, the IC3R and Vc2R. While the IC3R and Vc2R share highly similar energetic and conformational properties, the landscapes that map the sequence changes for their conversion from the 11ntR to changes in these properties differ dramatically. Differences in the energetic landscapes stem from the mutations needed to convert the 11ntR to the IC3R and Vc2R rather than a difference in the intrinsic energetic architectures of these TLRs. The conformational landscapes feature several nonnative TLR variants with conformational preferences that differ from both the initial and final TLRs; these species represent potential branching points along the multidimensional sequence space to sequences with greater fitness in other RNA contexts with alternative conformational preferences. Our high-throughput, quantitative approach reveals the complex nature of sequence-fitness landscapes and leads to models for their molecular origins. Systematic and quantitative molecular approaches provide critical insights into understanding the evolution of natural RNAs as they traverse complex landscapes in response to selective pressures.

Indexed as

Nucleic Acid ConformationNucleotide MotifsRNAThermodynamicsBase SequenceMutationRNA FoldingRNARNA biophysicsRNA tertiary motifsequence landscapestetraloop receptor

Identifiers

PMID39362695
PMCPMC11571812

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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.