Evidence map›Paper›PMID 25546503›Full record

ReviewBiopolymers2015

Review toward all RNA structures, concisely.

Kevin M Weeks

Abstract readReview
In one paragraph

Review in Biopolymers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. On an enhancement of RNA probing data using information theory.Algorithms for molecular biology : AMB · 2020
    Article
  8. Review
  9. Article
  10. A guide to large-scale RNA sample preparation.Analytical and bioanalytical chemistry · 2018
    Review
  11. Article
  12. Article
  13. Article
  14. Small Molecule-Based Pattern Recognition To Classify RNA Structure.Journal of the American Chemical Society · 2017
    Article
  15. Review
  16. Article
  17. Mechanisms of long noncoding RNA function in development and disease.Cellular and molecular life sciences : CMLS · 2016
    Review
  18. Article
  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

1 author.

Kevin M WeeksDepartment of Chemistry, University of North Carolina, Chapel Hill, NC, 27599-3290.

Funding

Structure of the HIV-1 GenomeR01AI068462 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEEKS, KEVIN M · 2006 to 2020
$7.4M
Retroviral Genomic RNA Dimer Structure and FunctionR01GM064803 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEEKS, KEVIN M · 2002 to 2016
$3.7M
Rapid and Generic Discovery of Small Molecule Ligands Targeting RNAR01GM098662 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEEKS, KEVIN M · 2011 to 2014
$1.2M
NIAID NIH HHS R01 AI068462NIGMS NIH HHS R01 GM064803NIGMS NIH HHS R01 GM098662
6 · The paper itself

Abstract

Profound insights regarding nucleic acid structure and function can be gleaned from very simple, direct, and chemistry-based strategies. Our approach strives to incorporate the elegant physical insights that Don Crothers instilled in those who trained in his laboratory. Don emphasized the advantages of focusing on direct and concise experiments even when the final objective was to understand something complex-potentially including the large-scale architectures of the genomes of RNA viruses and the transcriptomes of cells. Here, the author reviews the intellectual path, and a few detours, that led to the development of the SHAPE-MaP and RING-MaP technologies for interrogating RNA structure and function at large scales. The author also argues that greater attention to creating direct, less inferential experiments will convert "omics" investigations into lasting and definitive contributions to our understanding of biological function.

Indexed as

Models, MolecularNucleic Acid ConformationRNARNAchemical probingconcisionRNA structurestructure modeling

Identifiers

PMID25546503
PMCPMC4446244

What OpenQuestion holds

Textmetadata
LicenceTDM
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.