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Briefings in Functional Genomics
Article
License: implied-oa
Data sources: UnpayWall
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PubMed Central
Article . 2015
License: CC BY
Data sources: PubMed Central
Briefings in Functional Genomics
Article . 2014 . Peer-reviewed
Data sources: Crossref
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High-throughput characterization of protein-RNA interactions

Authors: Cook, Kate B.; Hughes, Timothy R.; Morris, Quaid D.;

High-throughput characterization of protein-RNA interactions

Abstract

RNA-binding proteins (RBPs) are important regulators of eukaryotic gene expression. Genomes typically encode dozens to hundreds of proteins containing RNA-binding domains, which collectively recognize diverse RNA sequences and structures. Recent advances in high-throughput methods for assaying the targets of RBPs in vitro and in vivo allow large-scale derivation of RNA-binding motifs as well as determination of RNA-protein interactions in living cells. In parallel, many computational methods have been developed to analyze and interpret these data. The interplay between RNA secondary structure and RBP binding has also been a growing theme. Integrating RNA-protein interaction data with observations of post-transcriptional regulation will enhance our understanding of the roles of these important proteins.

Keywords

Models, Molecular, Papers, Humans, Nucleic Acid Conformation, RNA, RNA-Binding Proteins, High-Throughput Screening Assays, Protein Binding

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    selected citations
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    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).
    75
    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 1%
Powered by OpenAIRE graph
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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!
75
Top 10%
Top 10%
Top 1%
Green
hybrid