Quantitative predictions of protein interactions with long noncoding RNAs

Long noncoding RNAs (lncRNAs, which comprise 68% of the human transcriptome with average length of 1,000 nt) interact with various RNA-binding proteins (RBPs) to mediate cellular functions. Here we introduce Global Score as a tool to predict protein interactions with lncRNAs (http://service.tartagli...

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Detalles Bibliográficos
Autor: Cirillo, Davide
Tipo de recurso: conjunto de datos
Fecha de publicación:2016
País:España
Institución:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repositorio:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::92bf6caea59cbb784678e3b65a8c3bf7
Acceso en línea:https://doi.org/10.34810/DATA428
Access Level:acceso abierto
Palabra clave:Medicine, Health and Life Sciences
DNA-binding proteins
RNA-binding proteins
Protein-protein interacion networks
Descripción
Sumario:Long noncoding RNAs (lncRNAs, which comprise 68% of the human transcriptome with average length of 1,000 nt) interact with various RNA-binding proteins (RBPs) to mediate cellular functions. Here we introduce Global Score as a tool to predict protein interactions with lncRNAs (http://service.tartaglialab.com/new_submission/globalscore). We used enhanced CLIP (eCLIP) to test the binding of the lncRNA Xist to the RBPs HnrnpK (Global Score of 0.99), Ptbp1 (0.99), Lbr (0.79), HnrnpU (Saf-A) (0.66), Spen (Sharp) (0.59) and negative control Dkc1 (0.01). Global Score prediction correlates with the eCLIP binding profile (Pearson correlation = 0.93). As for the binding sites, Spen and HnrnpK, Ptbp1, and Lbr interact respectively with Xist A, B, and E repeats and adjacent regions, while HnrnpU binds across the whole transcript, and Dkc1 does not interact with Xist.