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Fig. 2 | Cell & Bioscience

Fig. 2

From: Transcriptional landscape of circulating platelets from patients with COVID-19 reveals key subnetworks and regulators underlying SARS-CoV-2 infection: implications for immunothrombosis

Fig. 2

SARS-CoV-2 infection alters the coding and non-coding transcriptional landscape of human platelets. We performed RNA-seq on RNA isolated from highly purified platelets obtained from 10 COVID-19 patients and eight healthy donors. A Volcano plot depicting log2FC and FDR-adjusted P-values comparing COVID-19 and control samples. Differentially expressed up- (red) and downregulated (blue) PCGs are shown and selected PCGs are highlighted. B Bar plot with the number of significantly upregulated (red) and downregulated (blue) PCGs in COVID-19 patients compared with control samples. C Hierarchical clustering map of PCGs between COVID-19 patients and control samples. D Volcano plot depicting log2 transformed FC and FDR-adjusted P-values between COVID-19 and control samples. Differentially expressed up- (red) and downregulated (blue) lncRNAs are shown and selected lncRNAs are highlighted. E Number of significantly upregulated (red) and downregulated (blue) lncRNAs in COVID-19 patients compared with control samples. F Hierarchical clustering map of lncRNAs between COVID-19 patients and control samples. COVID-19, coronavirus disease 2019; PCGs, protein-coding genes; lncRNAs, long non-coding RNAs; FC, fold change; FDR, false discovery rate; RNA-seq, RNA sequencing

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Cell & Bioscience

ISSN: 2045-3701

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