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. 2020 Jan 29;20:32. doi: 10.1186/s12935-019-1064-y

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — The significance of miR-517a in melanoma. a Comparison in the top 100 DEGs from the GSE31909 and GSE35389-mRNA datasets. b the PPI network between DEGs and melanoma genes. The arrow represents DEGs, the circle represents the melanoma genes, and the diamond represents the melanoma genes with differential expression. c, d The heat maps of the top 60 DEGs related to melanoma from the GSE31909 and GSE35389-mRNA microarray data, respectively; the abscissa refers to the sample number, and the ordinate refers to the names of DEGs. The upper right histogram refers to the color gradation. Each block represents the expression level of a gene in one sample. e Predicted miRNAs regulating CDKN1C by the miRWalk, mirDIP, TargetScan, miRSearch, and miRpath databases; f The heat maps of the top 60 miRNAs with differential expression in GSE35389-miRNA microarray data