1st International and 10th National Iranian Conference on Bioinformatics
Home Accepted Papers
Bioinformatics analysis of regulatory miRNAs and target lncRNAs in cervical cancer
Paper ID : 1340-ICB10
Authors:
Sama Abbasi *, Hassan Rajabi-Maham, Leila Kianmehr
گروه علوم جانوری و زیست دریا، دانشکده علوم و فناوری زیستی، دانشگاه شهید بهشتی، تهران، ایران
Abstract:
Cervical cancer is one of the leading causes of mortality in women, worldwide. The involvement of non-coding RNAs in cancer addressed extensively in recent years. In the present study, the bioinformatics analysis of microarray data including two-gene dataset (GSE9750 and GSE52903) and one miRNA dataset (GSE30656) performed. Firstly, differentially expression analysis among cancer samples versus healthy controls showed 64 up-regulated and 106 down-regulated genes. PPI network analysis determined 28 genes as hub genes (degree about 48-54) which play a significant role in cell cycle pathways and cell division. Differential analysis of miRNAs dataset also identified 10 significant difference. Meta-analysis was performed between the three selected datasets and the relationship between hub-genes and miRNAs was examined. Interaction between 4 candidate miRNAs and 139 associated lncRNAs predicted in cervical tissues by miRNet online software. As a result, 19 of these lncRNAs with the highest degree of interaction selected. The present study has investigated the interaction of involved miRNAs and lncRNAs in cervical cancer. In conclusion, bioinformatics analysis could help us to suggest the different expressions and interactions of most important genes, regulatory miRNAs, and target lncRNAs. However, these findings should be further considered under experimental approaches although many reports confirm the involved pathways and genes in cervical cancer.
Keywords:
Cervical cancer, Microarray data, Bioinformatics, miRNA, LncRNA
Status : Paper Accepted (Poster Presentation)