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. 2020 Sep 3;48(9):0300060520950912. doi: 10.1177/0300060520950912

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© The Author(s) 2020

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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Figure 1. — Bioinformatics data analysis of differential gene expression between MCV152 and SKOV-3 cell lines, showing: (A) Principal component analysis by mapping all samples in a two-dimensional diagram composed of the largest component and the second largest component. Gene expression differences were small and correlation was good for RNA-seq samples with short distance; (B) Heatmap of differentially expressed genes (x axis, plotted according to sample name; y axis, plotted according to gene name); (C) Volcano plot of differentially expressed genes (x axis, log2 fold change; y axis, –log10 false discovery rate [FDR]). Red represents upregulated gene, and blue represents downregulated gene; (D) Upregulated genes and (E) downregulated genes in terms of enriched gene ontology (GO) functions, comprising biological process (BP), molecular function (MF) and cellular component (CC); and (F) Upregulated genes and (G) downregulated genes in terms of enriched pathways.