Protein complex scaffolding predicted as a prevalent function of long non-coding RNAs. Issue 2 (20th November 2017)

• Record Type: Journal Article
• Authors: Ribeiro, Diogo M; Zanzoni, Andreas; Cipriano, Andrea; Delli Ponti, Riccardo; Spinelli, Lionel; Ballarino, Monica; Bozzoni, Irene; Tartaglia, Gian Gaetano; Brun, Christine
• Is Part Of: Nucleic acids research. Volume 46:Issue 2(2018)
• Page Start: 917
• Page End: 928
• Publication Date: 2017-11-20
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkx1169
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: The human transcriptome contains thousands of long non-coding RNAs (lncRNAs). Characterizing their function is a current challenge. An emerging concept is that lncRNAs serve as protein scaffolds, forming ribonucleoproteins and bringing proteins in proximity. However, only few scaffolding lncRNAs have been characterized and the prevalence of this function is unknown. Here, we propose the first computational approach aimed at predicting scaffolding lncRNAs at large scale. We predicted the largest human lncRNA–protein interaction network to date using the cat RAPID omics algorithm. In combination with tissue expression and statistical approaches, we identified 847 lncRNAs (∼5% of the long non-coding transcriptome) predicted to scaffold half of the known protein complexes and network modules. Lastly, we show that the association of certain lncRNAs to disease may involve their scaffolding ability. Overall, our results suggest for the first time that RNA-mediated scaffolding of protein complexes and modules may be a common mechanism in human cells.