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PMID: 26041786 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

Revealing protein-lncRNA interaction.

Briefings in bioinformatics ·Vol. 17 ·No. 1 ·2016-01-00 ·Pages 106-16

Ferrè F, Colantoni A, Helmer-Citterich M

Abstract

Long non-coding RNAs (lncRNAs) are associated to a plethora of cellular functions, most of which require the interaction with one or more RNA-binding proteins (RBPs); similarly, RBPs are often able to bind a large number of different RNAs. The currently available knowledge is already drawing an intricate network of interactions, whose deregulation is frequently associated to pathological states. Several different techniques were developed in the past years to obtain protein-RNA binding data in a high-throughput fashion. In parallel, in silico inference methods were developed for the accurate computational prediction of the interaction of RBP-lncRNA pairs. The field is growing rapidly, and it is foreseeable that in the near future, the protein-lncRNA interaction network will rise, offering essential clues for a better understanding of lncRNA cellular mechanisms and their disease-associated perturbations.

Keywords
co-immunoprecipitation high-throughput sequencing long non-coding RNAs protein–RNA interactions
MeSH Terms
Computational Biology/methods Computer Simulation High-Throughput Nucleotide Sequencing/statistics & numerical data Humans Models, Molecular Nucleic Acid Conformation Protein Conformation Protein Interaction Maps/genetics RNA, Long Noncoding/chemistry,genetics,metabolism RNA-Binding Proteins/chemistry,genetics,metabolism SELEX Aptamer Technique/statistics & numerical data
Chemicals
RNA, Long Noncoding RNA-Binding Proteins
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Ferrè Fabrizio
Colantoni Alessio
Helmer-Citterich Manuela
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Article Info
Journal
Briefings in bioinformatics
Abbr.
Brief Bioinform
ISSN
1477-4054
DOI
10.1093/bib/bbv031
Published
2016-01-00
Epub
2015-00-02
Pages
106-16
Language
English
Region
England
NLM ID
100912837
PMCID
PMC4719072
Subset
IM
External Links
PubMed source DOI: 10.1093/bib/bbv031 PMC Full Text View journal details
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