1st International and 10th National Iranian Conference on Bioinformatics
Home Accepted Papers
Integrated systems biology investigation (in-silico) of the hub regulatory RNA interactions (competitive endogenous RNA) in the lung cancer microarray samples
Paper ID : 1061-ICB10
Authors:
Mansoureh Azadeh *1, Mahdieh Bakhshayesh1, Parisa Rabiei Chamgordani2
1Zist Fanavari Novin biotechnology institute
2Zist Fanavari Novin biotechnology institute Isfahan IRAN
Abstract:
Background:
Lung cancer is an insufficient treatment option, with only 20% of patients responding to systemic chemotherapy [1]. miRNAs, discovered non-coding RNAs, regulate gene expression at the post-transcriptional level by base pairing with 3’UTR of their targeted mRNAs annotated as to their targetome. Analyzing the expression mRNAs microarray from lung cancer tissues and non-tumor tissues with GSE136043.

Result: According to the microarray data from comparing lung cancer tissue and normal tissue, we have examined five genes, including efcc1, LILRB2, JAML, SLC16A7, and DMRT2, had the most significant expression changes. We have found microarray data based on the highest score identified lncRNAs similar to the chromosomal number. We have examined interactions between lncRNAs and the genes. The low expression of our genes can lead to miR-1304-5p, miR-3173-3p, miR-148a-3p, miR-221-3p, miR-7-5, and miR-363-3p not attaching to the gene, binding to the THRB-IT1, LINC01002, LINC00665, and C9orf147 reducing the expression of the lncRNAs. We chose three genes from five genes that indicate the existence of CeRNA because the miRNA of genes including efcc1, LILRB2, and DMRT2 had similar lncRNAs, which indicates the existence of a complex network that can be used in gene therapy or drug. miR-7-5p targets a gene called CCND1 and a protein target called PA28gamma. PA28gamma emerges as a novel functional target of tumor suppressor miRNA-7 in non-small-cell lung cancer [2].

Methods: All miRNAs were regained from DIANA-TarBase v7.0 and miRwalk databases, followed by examining their expression in lung tumors using the GEO and DAVID database. They were finding interaction between lncRNAs and genes by LncRRIsearch, comparing the expression of genes in lung cancer by Gepia2 databases. The expression of lncRNAs in different tissues has been examined by the lnCAR databases. The study of metabolic pathways and expression of the gene was performed using KEGG and Reactome Pathway Database.
Keywords:
Lung cancer, miR-7-5P targetome, Complex network, Microarray
Status : Paper Accepted (Poster Presentation)