1st International and 10th National Iranian Conference on Bioinformatics
Home Accepted Papers
In silico analysis of identification miRNA regulatory network in gallic acid treatment of breast cancer cell line
Paper ID : 1239-ICB10
Authors:
Afsane Masoudi Chelegahi *1, Somayeh Reiisi2
1MSc student, Department of Genetics, Faculty of Basic Sciences, Shahrekord University
2دانشگاه شهرکرد
Abstract:
Introduction: Gallic acid, a poly-hydroxylphenolic compound plentifully found in plants, fruits, and foods, has been described to have numerous biological functions including an anticancer effect . Gallic acid can be effect on genes and miRNA expression. miRNAs are a class of non-coding RNA that involved in various biological processes including cancers. Therefore, many studies explaining the role of miRNAs in breast cancer . Therefore this study aims to investigate putative target genes and networks where they are involved in gallic acid treatment.
Methods: The original data set GSE85871 was selected from the GEO dataset (NCBI), and then the differentially expressed miRNAs in MCF7 cell line treated by gallic acid were identified using the GEO2R. Their target genes were predicted from four (Tagetscan, miRWalk, miRDB, miRmap) miRNA target prediction databases. Then, functional analysis was accomplished for the target genes using by construction of a miRNAs target gene network .
Results: In current study, described 4 miRs (miR-127-5p, hsa-miR-511-3p, hsa-miR-500a-5p, and hsa-miR-3652) with up-regulation and 3 miRs (hsa-miR-492, hsa-miR-155, and hsa-miR-3685) with down-regulation in treatment with gallic acid. The miRNAs were exposed to the most used predictions software and >250 overlap target genes predicted. Then, enrichment analysis was performed revealing KEGG pathway, comprising cell cycle, cGMP-PKG signaling pathway, and apoptosis. A network construction was generated and links between the selected miRNAs and the predicted targets.
Cnclusions: In this study, we merged miRNA expression analysis with a bioinformatics-based workflow. Some genes (GAD2, CAPN6, TNIP3 and FOXJ1), pathways and interactions, putatively involved in breast cancer inhibition, were identified.
Keywords:
miRNA, breast cancer, miRNA network, Gallic acid treatment
Status : Paper Accepted (Poster Presentation)