Fig. 6
From: Long-term perturbation of the peripheral immune system months after SARS-CoV-2 infection
Integrated network analysis of correlations between blood transcriptional modules (BTMs), the frequency of immune cell populations assessed by flow cytometry and anti-Spike and anti-RBD antibody titres. A Selected BTMs identified to be differentially active in COVID-19 convalescents. Each circle represents the activity of that BTM in a specific convalescent individual. Darker red indicates increased BTM activity relative to healthy control (HC); darker blue decreased. The size of the circle is proportionate to BTM activity relative to HC. Samples are ordered on the X-axis by BTM M85 (Platelet activation) activity score. B Network showing Pearson correlations (as edges) between BTMs, immune cell populations, and serology data. Red and blue edges indicate positive and negative correlations, respectively. BTM-BTM correlations were determined across all timepoints. Only those with r2 > 0.7 and FDR < 0.05 are shown. Correlations between BTMs, immune cell populations, and antibody titres were determined at each timepoint. Only those with FDR < 0.05 at a specific timepoint are shown. Node sizes and colours are scaled relative to HC. Red and blue nodes indicate increased and decreased values, respectively, relative to HC. Grey nodes were not significantly altered in convalescents. The network was visualised using Cytoscape v3.8.1