Evidence map›Paper›PMID 21240283›Full record

ArticleNature nanotechnology2011

Synthetic RNA-protein complex shaped like an equilateral triangle.

Hirohisa Ohno, Tetsuhiro Kobayashi, Rinko Kabata, Kei Endo, Takuma Iwasa, Shige H Yoshimura, Kunio Takeyasu, Tan Inoue, Hirohide Saito

Abstract read
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In one paragraph

Article in Nature nanotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Strategies to Build Hybrid Protein-DNA Nanostructures.Nanomaterials (Basel, Switzerland) · 2021
    Review
  10. Article
  11. Article
  12. Molecular swarm robots: recent progress and future challenges.Science and technology of advanced materials · 2020
    Review
  13. Article
  14. Tuning the size, shape and structure of RNA nanoparticles for favorable cancer targeting and immunostimulation.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2020
    Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Dynamic Behavior of RNA Nanoparticles Analyzed by AFM on a Mica/Air Interface.Langmuir : the ACS journal of surfaces and colloids · 2018
    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

9 authors.

Hirohisa OhnoLaboratory of Gene Biodynamics, Graduate School of Biostudies, Kyoto University, Oiwake-cho, Kitashirakawa, Sakyo-ku, Kyoto 606-8502, Japan.
Tetsuhiro Kobayashi
Rinko Kabata
Kei Endo
Takuma Iwasa
Shige H Yoshimura
Kunio Takeyasu
Tan Inoue
Hirohide Saito

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic nanostructures consisting of biomacromolecules such as nucleic acids have been constructed using bottom-up approaches. In particular, Watson-Crick base pairing has been used to construct a variety of two- and three-dimensional DNA nanostructures. Here, we show that RNA and the ribosomal protein L7Ae can form a nanostructure shaped like an equilateral triangle that consists of three proteins bound to an RNA scaffold. The construction of the complex relies on the proteins binding to kink-turn (K-turn) motifs in the RNA, which allows the RNA to bend by ∼ 60° at three positions to form a triangle. Functional RNA-protein complexes constructed with this approach could have applications in nanomedicine and synthetic biology.

Indexed as

Binding SitesModels, MolecularNanostructuresNucleic Acid ConformationRibonucleoproteinsRibosomal ProteinsRNASynthetic BiologyRibonucleoproteinsRibosomal ProteinsRNA

Identifiers

PMID21240283

What OpenQuestion holds

Textmetadata
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.