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BioEssays
Article . 2015 . Peer-reviewed
License: Wiley Online Library User Agreement
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
BioEssays
Article . 2016
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Deciphering the protein‐RNA recognition code: Combining large‐scale quantitative methods with structural biology

Authors: Hennig, J.; Sattler, M.;

Deciphering the protein‐RNA recognition code: Combining large‐scale quantitative methods with structural biology

Abstract

RNA binding proteins (RBPs) are key factors for the regulation of gene expression by binding to cis elements, i.e. short sequence motifs in RNAs. Recent studies demonstrate that cooperative binding of multiple RBPs is important for the sequence‐specific recognition of RNA and thereby enables the regulation of diverse biological activities by a limited set of RBPs. Cross‐linking immuno‐precipitation (CLIP) and other recently developed high‐throughput methods provide comprehensive, genome‐wide maps of protein‐RNA interactions in the cell. Structural biology gives detailed insights into molecular mechanisms and principles of RNA recognition by RBPs, but has so far focused on single RNA binding proteins and often on single RNA binding domains. The combination of high‐throughput methods and detailed structural biology studies is expected to greatly advance our understanding of the code for protein‐RNA recognition in gene regulation, as we review in this article.

Country
Germany
Keywords

Models, Molecular, Binding Sites, Computational Biology, RNA-Binding Proteins, Clip ; Cooperativity ; Mrna Interactome ; Protein-rna Recognition ; Rna Binding Proteins ; Rna Recognition Motif ; Structural Biology, Protein Structure, Tertiary, Intrinsically Disordered Proteins, Animals, Humans, RNA, Protein Binding

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
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