Evidence map›Paper›PMID 31324771›Full record

ArticleNature communications2019

RNA structure drives interaction with proteins.

Natalia Sanchez de Groot, Alexandros Armaos, Ricardo Graña-Montes, Marion Alriquet, Giulia Calloni, R Martin Vabulas, Gian Gaetano Tartaglia

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers.

0numbers the graph read from it
0cells of the map it votes in
119citing 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

119 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Crowding Effects in RNA Interactions.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

59 more citing papers are in PubMed but not listed here.

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.

Natalia Sanchez de GrootCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Dr. Aiguader 88, 08003, Barcelona, Spain.ORCID http://orcid.org/0000-0002-0492-5532
Alexandros ArmaosCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Dr. Aiguader 88, 08003, Barcelona, Spain.
Ricardo Graña-MontesCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Dr. Aiguader 88, 08003, Barcelona, Spain.
Marion AlriquetBuchmann Institute for Molecular Life Sciences, Goethe University Frankfurt, 60438, Frankfurt am Main, Germany.
Giulia CalloniBuchmann Institute for Molecular Life Sciences, Goethe University Frankfurt, 60438, Frankfurt am Main, Germany.
R Martin VabulasBuchmann Institute for Molecular Life Sciences, Goethe University Frankfurt, 60438, Frankfurt am Main, Germany. vabulas@em.uni-frankfurt.de.
Gian Gaetano TartagliaCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Dr. Aiguader 88, 08003, Barcelona, Spain. gian.tartaglia@crg.eu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of high-throughput sequencing and in vivo crosslinking approaches leads to the progressive uncovering of the complex interdependence between cellular transcriptome and proteome. Yet, the molecular determinants governing interactions in protein-RNA networks are not well understood. Here we investigated the relationship between the structure of an RNA and its ability to interact with proteins. Analysing in silico, in vitro and in vivo experiments, we find that the amount of double-stranded regions in an RNA correlates with the number of protein contacts. This relationship -which we call structure-driven protein interactivity- allows classification of RNA types, plays a role in gene regulation and could have implications for the formation of phase-separated ribonucleoprotein assemblies. We validate our hypothesis by showing that a highly structured RNA can rearrange the composition of a protein aggregate. We report that the tendency of proteins to phase-separate is reduced by interactions with specific RNAs.

Indexed as

Nucleic Acid ConformationProtein DomainsAlgorithmsBinding SitesGene OntologyHeLa CellsHigh-Throughput Nucleotide SequencingHumansModels, MolecularProtein BindingProteomeRNARNA-Binding ProteinsTranscriptomeProteomeRNARNA-Binding Proteins

Identifiers

PMID31324771
PMCPMC6642211

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.