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. 2018 Jul 27;8:11339. doi: 10.1038/s41598-018-29477-5

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© The Author(s) 2018

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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Networks generated in Ingenuity Pathway Analysis (IPA) for ASCs cultured in standard FBS-supplemented and FBS-deprived conditions for five biological replicates (plastic surgery patients, Supplementary Table S1). The values next to the gene names refer to log₂ fold change of gene expression calculated in the cufflinks package. The shapes and colors of molecules and type of interactions are defined in the graphical legends. (A) Top Regulator Effects network based on differentially expressed genes in both experimental conditions with highest consistency score of 3.024. The middle row consists of molecules that are connected to upstream regulators in the top row and downstream functions in the bottom row. (B) miRNA-mRNA negative correlation network with upregulated mir-30 family and anti-correlated mRNA targets generated in microRNA Target Filter Tool in IPA. (C) miRNA-mRNA negative correlation network with downregulated 8 miRNAs and their upregulated direct targets. miRNAs indicated with a star refer to miRNA families that share common seed sequence with those significantly changed in our dataset.