Open AccessA bioinformatics approach for identification of miR-100 targets implicated in breast cancer
Author(s) -
Roshanak Shams,
Mahnaz SeifiAlan,
Ali Behmanesh,
Mir Davood Omrani,
Reza Mirfakhraie,
Soudeh GhafouriFard
Publication year - 2017
Publication title -
cellular and molecular biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 71
eISSN - 1165-158X
pISSN - 0145-5680
DOI - 10.14715/cmb/2017.63.10.16
Subject(s) - microrna , breast cancer , biology , cancer , gene , context (archaeology) , cancer research , suppressor , computational biology , microarray analysis techniques , bioinformatics , gene expression , genetics , paleontology
MicroRNAs (miRNAs) are small endogenous non-coding RNAs with principal roles in regulation of protein expression via translation repression and mRNA degradation. Based on these roles they are implicated in tumourigenesis processes as well. Among them is miR-100 which can exert both tumor suppressor and oncogenic functions in various cancer types. In breast cancer, it has been shown to affect apoptosis, epithelial-mesenchymal transition as well as tumor-related signaling pathways. In the present study, we introduce a novel approach for identification of miR-100 target genes which are possibly implicated in breast cancer pathogenesis. We applied 14 online tools for prediction of miR-100 target genes and used gene expression data produced by DNA microarray technology. By combining these two sets of data we proposed a list of miR-100 target genes with possible involvement in breast cancer. Considering the role of miR-100 as a context-dependent chief regulator of the cancer-related signaling pathways and a potential target for therapeutic modalities, identification of its targets would pave the way for designing new approaches for cancer treatment or sensitization of cancer cells to standard treatments.