Evidence map›Paper›PMID 20876687›Full record

ArticleNucleic acids research2011

Promoting RNA helical stacking via A-minor junctions.

Cody Geary, Arkadiusz Chworos, Luc Jaeger

Abstract 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 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
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  5. Review
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  14. Review
  15. Crystal-Structure-Guided Design of Self-Assembling RNA Nanotriangles.Angewandte Chemie (International ed. in English) · 2016
    Article
  16. Article
  17. RNA quaternary structure and global symmetry.Trends in biochemical sciences · 2015
    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

3 authors.

Cody GearyDepartment of Chemistry and Biochemistry, University of California, Santa Barbara, CA 93106-9510, USA.
Arkadiusz Chworos
Luc Jaeger

Funding

Exploring the RNA syntax for engineering therapeutic RNA-based nano-factoriesR01GM079604 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI JAEGER, LUC · 2007 to 2011
$1.7M
NIGMS NIH HHS R01 GM079604NIGMS NIH HHS R01-GM079604
6 · The paper itself

Abstract

RNA molecules take advantage of prevalent structural motifs to fold and assemble into well-defined 3D architectures. The A-minor junction is a class of RNA motifs that specifically controls coaxial stacking of helices in natural RNAs. A sensitive self-assembling supra-molecular system was used as an assay to compare several natural and previously unidentified A-minor junctions by native polyacrylamide gel electrophoresis and atomic force microscopy. This class of modular motifs follows a topological rule that can accommodate a variety of interchangeable A-minor interactions with distinct local structural motifs. Overall, two different types of A-minor junctions can be distinguished based on their functional self-assembling behavior: one group makes use of triloops or GNRA and GNRA-like loops assembling with helices, while the other takes advantage of more complex tertiary receptors specific for the loop to gain higher stability. This study demonstrates how different structural motifs of RNA can contribute to the formation of topologically equivalent helical stacks. It also exemplifies the need of classifying RNA motifs based on their tertiary structural features rather than secondary structural features. The A-minor junction rule can be used to facilitate tertiary structure prediction of RNAs and rational design of RNA parts for nanobiotechnology and synthetic biology.

Indexed as

Electrophoresis, Polyacrylamide GelMicroscopy, Atomic ForceModels, MolecularNanostructuresNucleic Acid ConformationRNARNA

Identifiers

PMID20876687
PMCPMC3035441

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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.