pone.0296030.g005.tif (183.74 kB)

A comparison and validation between the key genes of the COVID-19 and healthy groups.

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posted on 2024-01-02, 18:27 authored by Bing Yang, Meijun Pan, Kai Feng, Xue Wu, Fang Yang, Peng Yang

(A) A histogram of the feature genes in the GSE164805 dataset. * indicates p<0.05, ** indicates p<0.01, and *** indicates p<0.001. (B) A histogram of the feature genes in the GSE171110 dataset. *indicates p<0.05, ***indicates p<0.001,and ****indicates p<0.0001.

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stat signaling pathways immune cell infiltration cytokine release syndrome common gene screening signaling pathways involved potential therapeutic drugs potential pathogenic genes differentially expressed genes coronavirus disease 19 xlink "> screening four feature genes common genes ).signaling pathways associated screened using betweenness multiple biological processes kegg enrichment showed four core genes data sets related mediates inflammatory response xlink "> il6r feature genes involved crs disease genes 19 xlink ">feature genes common genes kegg enrichment core genes biological processes inflammatory response upregulated il6r therapeutic targets mainly involved also involved inflammatory pathway venn diagram transcription factors tlr2 genes ssgsea algorithm r software normal controls mcc algorithms immunoinfiltration analysis identified via higher expression gsva package gse171110 dataset expression level crs associated closely related analysis revealed 971 corresponded

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