Evidence map›Paper›PMID 28625696›Full record

ArticleBiophysical journal2017

Comparative Visualization of the RNA Suboptimal Conformational Ensemble In Vivo.

Chanin T Woods, Lela Lackey, Benfeard Williams, Nikolay V Dokholyan, David Gotz, Alain Laederach

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Biophysical journal, 2017. 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
2.1field-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

22 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
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  9. Article
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  12. Article
  13. Probing RNA structure in vivo.Current opinion in structural biology · 2019
    Review
  14. The roles of structural dynamics in the cellular functions of RNAs.Nature reviews. Molecular cell biology · 2019
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. High-throughput determination of RNA structures.Nature reviews. Genetics · 2018
    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

6 authors at 1 institution in 1 country.

Chanin T WoodsCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Lela LackeyDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Benfeard WilliamsDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Nikolay V DokholyanDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
David GotzCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; School of Information and Library Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Alain LaederachCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. Electronic address: alain@unc.edu.
University of North Carolina at Chapel Hill · US

Funding

Non-coding RNA structure change in Chronic Obstructive Pulmonary DiseaseR01HL111527 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Alain T Laederach, Kevin M Weeks · 2012 to 2026
$6.6M
Retroviral Genomic RNA Dimer Structure and FunctionR01GM064803 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEEKS, KEVIN M · 2002 to 2016
$3.7M
Protein Misfolding and AggregationR01GM080742 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DOKHOLYAN, NIKOLAY · 2007 to 2015
$2.8M
Structural and functional consequences of disease SNPs on the transcriptomeR01GM101237 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LAEDERACH, ALAIN T · 2012 to 2020
$2.5M
Predicting the causative SNPs in LD blocks by allele-specific structural analysisR01HG008133 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LAEDERACH, ALAIN T, WEEKS, KEVIN M · 2015 to 2017
$2.4M
ConProject-001R01GM126554 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI HEITSCH, CHRISTINE E · 2017 to 2021
$1.7M
Engineering allostery for in vivo protein controlR01GM123247 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DOKHOLYAN, NIKOLAY · 2017 to 2019
$1.5M
NHGRI NIH HHS R01 HG008133NHLBI NIH HHS R01 HL111527NIGMS NIH HHS R01 GM064803NIGMS NIH HHS R01 GM080742NIGMS NIH HHS R01 GM101237NIGMS NIH HHS R01 GM123247NIGMS NIH HHS R01 GM126554
6 · The paper itself

Abstract

When a ribonucleic acid (RNA) molecule folds, it often does not adopt a single, well-defined conformation. The folding energy landscape of an RNA is highly dependent on its nucleotide sequence and molecular environment. Cellular molecules sometimes alter the energy landscape, thereby changing the ensemble of likely low-energy conformations. The effects of these energy landscape changes on the conformational ensemble are particularly challenging to visualize for large RNAs. We have created a robust approach for visualizing the conformational ensemble of RNAs that is well suited for in vitro versus in vivo comparisons. Our method creates a stable map of conformational space for a given RNA sequence. We first identify single point mutations in the RNA that maximally sample suboptimal conformational space based on the ensemble's partition function. Then, we cluster these diverse ensembles to identify the most diverse partition functions for Boltzmann stochastic sampling. By using, to our knowledge, a novel nestedness distance metric, we iteratively add mutant suboptimal ensembles to converge on a stable 2D map of conformational space. We then compute the selective 2' hydroxyl acylation by primer extension (SHAPE)-directed ensemble for the RNA folding under different conditions, and we project these ensembles on the map to visualize. To validate our approach, we established a conformational map of the Vibrio vulnificus add adenine riboswitch that reveals five classes of structures. In the presence of adenine, projection of the SHAPE-directed sampling correctly identified the on-conformation; without the ligand, only off-conformations were visualized. We also collected the whole-transcript in vitro and in vivo SHAPE-MaP for human β-actin messenger RNA that revealed similar global folds in both conditions. Nonetheless, a comparison of in vitro and in vivo data revealed that specific regions exhibited significantly different SHAPE-MaP profiles indicative of structural rearrangements, including rearrangement consistent with binding of the zipcode protein in a region distal to the stop codon.

Indexed as

Nucleic Acid ConformationRNAActinsAdenineHumansModels, GeneticModels, MolecularMutationRiboswitchStochastic ProcessesThermodynamicsVibrio vulnificusActinsAdenineRiboswitchRNA

Identifiers

PMID28625696
PMCPMC5529173
OpenAlexW2626866735

What OpenQuestion holds

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Registered trials

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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.