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. 2017 Aug 10;7:7797. doi: 10.1038/s41598-017-07513-0

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© The Author(s) 2017

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Transcriptome analysis of fibroblasts overexpressing miR-132. (A) Venn diagram depicting the number of genes significantly up- (red) or down-regulated (blue) by miR-132 (fold change ≥ 1.5, P <0.05) and TargetScan predicted miR-132 targets that expressed in HDFs (yellow). (B) Cumulative distribution plots of log₂-transformed fold-changes for genes predicted to contain miR-132 binding sites (red), genes with miR-132 sites and regulated by miR-132 (orange) and all the genes detected by microarray (blue). (C) Genes in microarray data were ranked by fold change (miR-132 mimic / Ctrl mimic). GSEA evaluated enrichment within the profile data for the predicted target genes of miR-132. Vertical bars along the χ axis denote the positions of miR-132 target genes within the ranked list. NES, normalized enrichment score. (D) The top10 gene ontology cell component terms for the genes down-regulated by miR-132 in fibroblasts. P-values were determined by the Fisher’s exact test. GSEA evaluated enrichment within the microarray data for the genes reported to accelerate (E) or impair (F) cell migration.