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. 2018 Aug 23;8:12680. doi: 10.1038/s41598-018-30881-0

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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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The protein-protein interaction (PPI) network was constructed based on DE mRNAs, the related clusters were identified using ClusterONE algorithm. (A) The global profiles of GLE treatment related PPI network was built. The red nodes represent the differential expressed mRNAs. (B) The topological profile of GLE treatment related Cluster-PPI network, the red nodes represent the differential expressed mRNAs. (C) The kernel mRNA clusters isolated from Cluster-PPI network. (D) The qRT-PCR was used to validate 6 potential kernel mRNAs, and the expression levels of 6 kernel mRNAs have statistically significant difference in GLE treated Hepa1-6-bearing C57 BL/6 mice. (E) The expression tendency of 6 kernel mRNAs in the microarray. (F,G) Western-blot assay was used to further validate the 6 kernel mRNAs. Representative results of three independent experiments are shown. Error bars, ^*P < 0.01 versus model values. Representative results of three independent experiments are shown. The β-actin was used as a loading control. Error bars, ^*P < 0.01 versus model values.