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. 2019 Apr 15;9:6060. doi: 10.1038/s41598-019-42584-1

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© The Author(s) 2019

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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Graphical representation of the Interferon Signalling (a), Oncostatin M Signalling (b) and Inhibition of Matrix Metalloproteases (c) pathways. The networks were generated through the use of IPA (QIAGEN Inc., https://www.qiagenbio-informatics.com/products/ingenuity-pathway-analysis). Figures represent cellular canonical pathways with most differentially expressed genes after analyses of results obtained for samples of Gaucher patients vs. controls and Gaucher patients vs. Niemann-Pick type C patients. Genes with up-regulated expression are represented in red, while genes with down-regulated expression in green.