COVID-19 Research Paper Volume 13, Issue 7 pp 9160—9185

TMBIM6, a potential virus target protein identified by integrated multiomics data analysis in SARS-CoV-2-infected host cells

Identification of key modules through WGCNA of the proteomics data. (A) Analysis of the scale-free fit index (left) and the mean connectivity (right) for various soft-thresholding powers. (B) Clustered dendrogram of the top 5000 proteins based on the dissimilarity measure. (C) Heatmap of the correlations between modules and virus amplification over time. Each cell contains the correlation coefficient and P value. (D) The corresponding correlation and P value between proteins in the blue module and virus amplification over time. (E) The corresponding correlation and P value between proteins in the turquoise module and virus amplification over time. (F) Enrichment analysis of the proteins in the turquoise module with P value G) Enrichment analysis of the proteins in the blue module with P value

Figure 2. Identification of key modules through WGCNA of the proteomics data. (A) Analysis of the scale-free fit index (left) and the mean connectivity (right) for various soft-thresholding powers. (B) Clustered dendrogram of the top 5000 proteins based on the dissimilarity measure. (C) Heatmap of the correlations between modules and virus amplification over time. Each cell contains the correlation coefficient and P value. (D) The corresponding correlation and P value between proteins in the blue module and virus amplification over time. (E) The corresponding correlation and P value between proteins in the turquoise module and virus amplification over time. (F) Enrichment analysis of the proteins in the turquoise module with P value < 0.05. (G) Enrichment analysis of the proteins in the blue module with P value < 0.05.