Title of article :
MiR-206 Target Prediction in Breast Cancer Subtypes by Bioinformatics Tools
Author/Authors :
Omrani Mir Davood نويسنده , Ghafouri-Fard Soudeh نويسنده , Behmanesh Ali نويسنده Department of Environmental Sciences,Islamic azad University,Qaemshahr Branch,Qaemshahr,Iran And Ph.D Student of Ecology at Yerevan State University , Mirfakhraie Reza نويسنده Department of Medical Genetics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran Mirfakhraie Reza , Seifi-Alan Mahnaz نويسنده Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran , Shamsi Roshanak نويسنده Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran
Pages :
9
From page :
1
To page :
9
Abstract :
[Background]MicroRNAs (miRNAs) are small endogenous non-coding RNAs with fundamental roles in the regulation of protein expression that is involved in the pathogenesis of many cancers including breast cancer. Among them is miR-206, whose role as a tumor suppressor gene has been demonstrated in breast cancer. Consequently, the identification of its putative target in breast cancer is of practical value.[Methods]In the present study, we have suggested a new approach for the identification of miR-206 target genes with possible role in breast cancer pathogenesis. We used 15 online tools for the prediction of miR-206 target genes as well as gene expression data produced by DNA microarray technology.[Results]By combining these two sets of data, we suggested a list of miR-206 target genes with possible involvement in breast cancer. In addition, we depicted an interaction network including miR-206 and its putative targets.[Conclusions]Considering the complexity of miR-206 interactions with several targets, such in silico analyses would considerably lessen the work load of laboratory experiments.
Journal title :
Astroparticle Physics
Serial Year :
2018
Record number :
2411204
Link To Document :
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