Mina Dehghani-Samani - Department of Genetics, Faculty of Basic Sciences, Shahrekord University, Shahrekord, Iran
Khatereh Firouzi-Farsani - Department of Genetics, Faculty of Basic Sciences, Shahrekord University, Shahrekord, Iran

Gene interaction networks, in which genes activate and repress the transcription of other genes, areresponsible for much of cellular life's complexity, and their failure can be fatal to an organism. As a result,systems biology has long sought to comprehend these networks. This research performed an integratedcomputational study to demonstrate a novel gene regulatory network and select a significant microRNAmRNAinteraction axis in the thyroid cancer samples.Gene expression analysis of thyroid cancer samples was performed by microarray data analysis of theGSE۳۳۶۳۰ microarray dataset. Data analysis of microarray samples was performed by affy and limmastatistical packages in R Studio (۴.۰.۲) environment. microRNA – mRNA interaction analysis was performedby miRWalk. Pathway enrichment and Gene Ontology analysis were performed by Enrichr online software.Microarray data analysis revealed that HMGA۲ has a significantly high expression (logFC: ۵.۲۲۵, adjusted.P. Value < ۰.۰۰۰۱) in patients with thyroid cancer. Also, miRWalk analysis revealed that hsa-miR-۸۰۸۱regulates the expression level of HMGA۲ in the ۳UTR region (Score: ۱). The HMGA۲ is a key regulatorygene in the transcriptional misregulation in the cancer signaling pathway. This protein has a significant rolein the histone-serine phosphorylation (GO:۰۰۳۵۴۰۴) in the nuclear chromosome (GO:۰۰۰۰۲۲۸) and nuclearlumen (GO:۰۰۳۱۹۸۱).Based on this integrated high-throughput and RNA interaction analysis, for the first time, we demonstratedthat hsa-miR-۸۰۸۱ could be a critical regulatory RNA in the thyroid cancer patients, by regulation of HMGA۲– a potential biomarker and oncogene of thyroid cancer - mRNA level and affecting the histone-serinephosphorylation in the nuclear lumen. It is highly recommended that a luciferase assay experiment validatesthe mentioned RNA interaction to achieve more accurate information about the precise role of mentionedmicroRNA in thyroid cancer development.

Systems biology; Big biological data; Microarray; HMGA۲; microRNA