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. 2023 Sep 22;10:1275897. doi: 10.3389/fmolb.2023.1275897

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Copyright © 2023 Zhang, Jiang, Jiang, Chen, Huang, Zhang, Wang, Chi, Yang and Tian.

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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Identification of DEGs between CHB and HBV-LC samples with analysis. (A,B) Batch correction of the combined samples to remove the effect from batch effects. (C) Heat map of differential genes, where C represents the control group consisting of CHB patient samples and P represents the patient samples of HBV-LC for the disease group. Red represents genes with high expression in that sample and blue represents genes with low expression in that sample. The distribution of differential genes between the control and disease groups can be seen by observing the correlation between heat map genes and samples. (D) Volcano plots of differential genes. With log2FC = 0 and p < 0.05 as the criterion, greater than 0 is upregulated and less than 0 is downregulated. We selected genes satisfying |log2FC|>1, p < 0.05 as genes with significant differences and showed their names on the volcano plots. (E,F) GSEA analysis of differential genes, and the top five functional pathways with up- and downregulated expression were selected for display.