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RNA structure drives interaction with proteins
- 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.
Author: | Natalia Sánchez de Groot, Alexandros Armaos, Ricardo Graña-Montes, Marion Alriquet, Giulia Calloni, Martin Vabulas, Gian Gaetano Tartaglia |
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URN: | urn:nbn:de:hebis:30:3-515221 |
DOI: | https://doi.org/10.1038/s41467-019-10923-5 |
ISSN: | 2041-1723 |
Pubmed Id: | https://pubmed.ncbi.nlm.nih.gov/31324771 |
Parent Title (English): | Nature Communications |
Publisher: | Nature Publishing Group UK |
Place of publication: | [London] |
Document Type: | Article |
Language: | English |
Year of Completion: | 2019 |
Date of first Publication: | 2019/07/19 |
Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
Release Date: | 2019/11/13 |
Tag: | Computational biology and bioinformatics; RNA; Transcriptomics |
Volume: | 10 |
Issue: | 1, Art. 3246 |
Page Number: | 13 |
First Page: | 1 |
Last Page: | 13 |
Note: | Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
HeBIS-PPN: | 456377301 |
Institutes: | Biochemie, Chemie und Pharmazie / Biochemie und Chemie |
Exzellenzcluster / Exzellenzcluster Makromolekulare Komplexe | |
Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 54 Chemie / 540 Chemie und zugeordnete Wissenschaften |
5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie | |
Sammlungen: | Universitätspublikationen |
Licence (German): | Creative Commons - Namensnennung 4.0 |