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. 2020 Mar 30;21:265. doi: 10.1186/s12864-020-6684-z

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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. 8 — KEGG pathways affected by treatment of HepG2 cells with partially purified fractions from MEF 134 extract. a Cellular pathways up-regulated or down-regulated in V1-treated cells relative to the untreated cells. b Cellular pathways upregulated or down-regulated in V3-treated cells relative to the untreated cells. c Cellular pathways upregulated or down-regulated in V5-treated cells relative to the untreated cells. In (a-c), green and red bars indicate overrepresentation of down-regulated and up-regulated genes, respectively. d Gene ontologies for the genes commonly expressed in all three treatment conditions. In (a-d), the bar charts show the negative logarithm (base 10) of the p-value; higher values correspond to higher significance. Overrepresentation of KEGG pathways and gene ontologies were analyzed using the hypergeometric test