Quantitative predictions of protein interactions with long noncoding RNAs

DOI

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.

Identifier
DOI https://doi.org/10.34810/data428
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data428
Provenance
Creator Cirillo, Davide ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Publication Year 2022
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Representation
Resource Type Experimental data; Dataset
Format text/tab-separated-values; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; text/plain; application/octet-stream
Size 46810; 72326; 3864; 125399; 46695; 2122; 46080
Version 2.0
Discipline Life Sciences; Medicine