MiR-206 Target Prediction in Breast Cancer Subtypes by Bioinformatics Tools
| Author | Mahnaz Seifi-Alan | en |
| Author | Roshanak Shamsi | en |
| Author | Ali Behmanesh | en |
| Author | Reza Mirfakhraie | en |
| Author | Mir Davood Omrani | en |
| Author | Soudeh Ghafouri-Fard | en |
| Orcid | Reza Mirfakhraie [0000-0003-1709-8975] | en |
| Orcid | Soudeh Ghafouri-Fard [0000-0002-0223-499X] | en |
| Issued Date | 2018-07-31 | en |
| 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. | en |
| DOI | https://doi.org/10.5812/ijcm.69554 | en |
| Keyword | miR-206 | en |
| Keyword | Breast Cancer | en |
| Keyword | Target Prediction | en |
| Publisher | Brieflands | en |
| Title | MiR-206 Target Prediction in Breast Cancer Subtypes by Bioinformatics Tools | en |
| Type | Research Article | en |