Inference and validation of an integrated regulatory network of autism

• DOI: 10.1101/2020.06.08.139733
• Publication Date: 2020-06-10T18:55:19Z
• Authors: Maedeh Ganji; Modjtaba Emadi-Baygi; Maryam Malek; Parvaneh Nikpour
• Keywords: Gene regulatory network

Abstract Autism is a complex neurodevelopmental disorder. Functional roles of several non-coding transcripts including long noncoding RNAs (lncRNAs) have been shown to influence the pathobiology autism. We hypothesized that there are more autism-associated lncRNAs be discovered. Here, we utilized systems biology approach identify novel might play role in molecular pathogenesis Based on data provided by Simons Foundation Research Initiative (SFARI), three-component regulatory network comprising mRNAs, microRNAs (miRNAs) and was constructed. enrichment analysis performed pathways potentially mediated components network. The potential association four candidate with autism investigated experimentally developing verifying valproic acid (VPA)-exposed mouse model composed 33 mRNA, 25 miRNA 4 lncRNA nodes associated neurologically-relevant functions. then verified differential expression lncRNAs: Gm10033 , 1500011B03Rik A930005H10Rik Gas5 brain VPA-exposed mice. furthermore identified splice variant designated as Gm10033- Δ Ex2 which expressed various tissues. integrative approach, utilized, combines experimental validation targets an animal As result analysis, prioritized set lncRNAs. These links add common understanding cellular mechanisms involved disease etiology, specifically