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. 2020 Oct 2;11:540186. doi: 10.3389/fgene.2020.540186

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Copyright © 2020 Wang, Wang, Zheng and Zhuang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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GSEA analysis indicated that low expression of METTL16 was significantly correlated with (A) peroxisome, (B) drug metabolism other enzymes, (C) PPAR signaling pathway, (D) steroid hormone biosynthesis, (E) drug metabolism cytochrome p450, and (F) glycolysis gluconeogenesis pathways in TCGA HCC dataset. The ES indicates the degree to which the specified gene sets are overrepresented at the top/bottom of a ranked list of total protein-coding genes. For each enrichment plot, top portion: running ES for the specified gene set; middle portion: where the member of gene set appears in the ranked list of all protein-coding genes; bottom portion: value of the ranking metric as a measurement of gene’s correlation with METTL16.