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. 2021 Dec 22;12:783907. doi: 10.3389/fimmu.2021.783907

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Copyright © 2021 Xie, Chen, Cao, Wu, Xiong, Zhang, Shi and Wang

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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Weighted co-expression network analysis in GSE44270. (A) Sample clustering of dataset GSE44270. The samples were clustered into two significantly different clusters. The cluster on the left is selected for subsequent analysis. (B) Selection of optimal thresholds. The threshold is 18. (C) By aggregating genes with strong correlations into the same module, different modules are obtained and displayed in different colors. Turquoise modules account for a larger proportion. (D) Verification of the accuracy of WGCNA results. (E) Correlation analysis between modules and keloid. Purple module was significantly positively correlated with normal skin fibroblasts (NF) (COR= 0.86,P <0.001) and negatively correlated with keloid fibroblasts (KF) (COR = -0.68,P <0.01). The genes in the purple module were labeled as the WGCNA-hub genes.