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. 2018 Jun 22;16(2):1311–1317. doi: 10.3892/etm.2018.6350

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Copyright: © Chen et al.

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Figure 1. — Bioinformatics prediction of direct interactions between miR-663 and TGF-β1. Bioinformatics prediction is a powerful tool for the study of the functions of miRNAs. To determine the regulatory mechanism of TGF-β1 in hypertrophic scars, miRanda (http://www.microma.org/rnicroma/home.do), TargetScan (http://www.targetscan.org), PiTa (http://genie.weizmann.ac.il/pubs/mir07/mir07_data.html), RNAhybrid (http://bibiserv.techfak.uni-bielefeld.de/rnahybrid/) and PICTAR (http://pictar.mdc-berlin.de/) were used to predict miRNA molecules that regulate TGF-β1, indicating that miR-663 was potentially able to regulate TGF-β1. TGF, transforming growth factor; miR, microRNA; hsa, Homo sapiens.