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. 2023 Apr 27;14:1181697. doi: 10.3389/fimmu.2023.1181697

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Copyright © 2023 She, Tan, Wang, Du, Zhou, Zhang, Du, Guo, Wu, Li, Bao, Mao, Hu, Liu and Li

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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The landscape of Immune cell infiltration and correlation analysis in GSE65682. (A) Analysis of immune-cell proportion comparisons between sepsis patients and healthy controls by CIBERSORT. (B) Person’s correlation analysis of CIBERSORT between infiltrating immune cells and identified hub genes. Red nodes indicate positive correlation while blue nodes indicate negative correlation. (C) Analysis of immune-cell proportion comparisons between sepsis patients and healthy controls (The blue and red boxplots stand for control and sepsis, respectively) by ssGSEA. (D) Person’s correlation analysis of ssGSEA between infiltrating immune cells and identified hub genes. Red nodes indicate positive correlation while blue nodes indicate negative correlation. *: as compared with the Control group, P <0.05; **: as compared with the Control group, P<0.01; ***: as compared with the Control group, P<0.001.