Project description:Schmitz2014 - RNA triplex formation The model is parameterized using the parameters for gene CCDC3 from Supplementary Table S1. The two miRNAs which form the triplex together with CCDC3 are miR-551b and miR-138. This model is described in the article: Cooperative gene regulation by microRNA pairs and their identification using a computational workflow. Schmitz U, Lai X, Winter F, Wolkenhauer O, Vera J, Gupta SK. Nucleic Acids Res. 2014 Jul; 42(12): 7539-7552 Abstract: MicroRNAs (miRNAs) are an integral part of gene regulation at the post-transcriptional level. Recently, it has been shown that pairs of miRNAs can repress the translation of a target mRNA in a cooperative manner, which leads to an enhanced effectiveness and specificity in target repression. However, it remains unclear which miRNA pairs can synergize and which genes are target of cooperative miRNA regulation. In this paper, we present a computational workflow for the prediction and analysis of cooperating miRNAs and their mutual target genes, which we refer to as RNA triplexes. The workflow integrates methods of miRNA target prediction; triplex structure analysis; molecular dynamics simulations and mathematical modeling for a reliable prediction of functional RNA triplexes and target repression efficiency. In a case study we analyzed the human genome and identified several thousand targets of cooperative gene regulation. Our results suggest that miRNA cooperativity is a frequent mechanism for an enhanced target repression by pairs of miRNAs facilitating distinctive and fine-tuned target gene expression patterns. Human RNA triplexes predicted and characterized in this study are organized in a web resource at www.sbi.uni-rostock.de/triplexrna/. This model is hosted on BioModels Database and identified by: BIOMD0000000530. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:The general role of RNA in the cell beyond protein biosynthesis is only beginning to emerge with little knowledge about the structural or organizational functions of RNA. In turn, functional non-coding RNAs (ncRNAs) are often identified by their regulation or impact on cellular phenotypes. However, the huge number and diversity of ncRNAs highly complicate the task of their molecular characterization and rationalization into cellular processes. For the vast majority of ncRNAs as well as for non-coding functions of known mRNAs, the mechanisms underlying their modes of action as well as their impact on protein complexes are unknown. Thus, the greatest challenge in the field of RNA biology today is the elucidation of molecular mechanisms and functional interaction partners of RNA molecules. Since RNAs do not act alone, but often interact with specific protein partners, proteomic approaches have been developed to study RNA-binding proteins (RBPs) and aim at revealing the molecular mechanisms underlying RNA function. Large-scale studies aiming at globally identifying RNA-binding proteins principally focused on poly(A)-RNA transcripts. A notable limitation of such approaches is that many ncRNAs are not polyadenylated, so that their interaction partners were not detected in these screens. Most importantly however, the overlap between the numerous studies aiming to identify RBPs is limited and their specificity remains unclear. Moreover, the previous studies were based on the identification of RBPs omitting their participation in protein-protein complexes and more interestingly in RNA-dependent protein-protein complexes. Here, we introduce the concept of "RNA dependence" to overcome these challenges. We define a protein as RNA-dependent if its interactome (hence likely its function) depends on RNA without necessarily directly binding to RNA. Based on this new concept, we developed a proteome-wide screening approach to gain mechanistic insight into the function of RNAs - both coding and non-coding - in RNA-protein complexes and their impact on the function of such complexes.

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RNA-based fusion panel

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