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Wiley Interdisciplinary Reviews - RNA
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Advances in the characterization of RNA‐binding proteins

Authors: Marchese, Domenica; de Groot, Natalia Sanchez; Lorenzo Gotor, Nieves; Livi, Carmen Maria; Tartaglia, Gian G.;

Advances in the characterization of RNA‐binding proteins

Abstract

From transcription, to transport, storage, and translation, RNA depends on association with different RNA‐binding proteins (RBPs). Methods based on next‐generation sequencing and protein mass‐spectrometry have started to unveil genome‐wide interactions of RBPs but many aspects still remain out of sight. How many of the binding sites identified in high‐throughput screenings are functional? A number of computational methods have been developed to analyze experimental data and to obtain insights into the specificity of protein–RNA interactions. How can theoretical models be exploited to identify RBPs? In addition to oligomeric complexes, protein and RNA molecules can associate into granular assemblies whose physical properties are still poorly understood. What protein features promote granule formation and what effects do these assemblies have on cell function? Here, we describe the newest in silico, in vitro, and in vivo advances in the field of protein–RNA interactions. We also present the challenges that experimental and computational approaches will have to face in future studies. WIREs RNA 2016, 7:793–810. doi: 10.1002/wrna.1378This article is categorized under: RNA Interactions with Proteins and Other Molecules > Protein–RNA Recognition RNA Interactions with Proteins and Other Molecules > RNA–Protein Complexes RNA in Disease and Development > RNA in Disease

Countries
Italy, Spain
Keywords

Genòmica, Binding Sites, Animals; Binding Sites; Humans; Protein Binding; RNA; RNA-Binding Proteins; Biochemistry; Molecular Biology, Advanced Reviews, Animals, Humans, RNA, RNA-Binding Proteins, Proteïnes—Agregació, Protein Binding

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
107
Top 1%
Top 10%
Top 1%
Green
hybrid
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