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. 2022 Apr 21;20:182. doi: 10.1186/s12967-022-03387-7

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© The Author(s) 2022

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. 5 — Identification and characterization of pemphigus-associated modules using WGCNA. a Eigengene adjacency heatmap shows correlations between modules. b The heatmap to show the correlation between module eigengenes and disease status or sample

source relationship of 19 modules. P-value is shown in brackets. Status: disease status. Source: sample source. c the scatter plot of module eigengenes in brown module. d GO enrichment result of brown module genes. e heatmap of genes associated to type I IFN signaling pathway.f the protein–protein interaction network of genes in brown module. Ten hub genes identified by the ‘cytoHubba’ plugin via mixed character calculation. The significance of hub genes increases with increasing intensity of the dot color