Statistical comparison was done using a two-sample moderated t-test (limma; Ritchie et. al 2015)
Input values (see barplot) are median-MAD normalized intensities.
The dataset contais 5087 proteins across four annotation groups: COVID-19 severe, COVID-19 intermediate, a control group and a control group with COVID-unrelated pneumonia.
Heatmap is generated with plotly. Hclust method is "complete", distance setting is "euclidean". Row scaling is applied. Columns are not clusterd.
For an example heatmap, enter the following protein list in the text input field: "UNC119 CRISPLD2 TRPV2 SYNE1 SYNE2 PITPNM1 MAST3 MYO1F SLC44A2 CTBS PHOSPHO1 ARHGAP9 ZBED1 OGFRL1 ADCK3 GLTP RPS6KA5 NCF2 CAMK1D ATM UBE2J1 HLA−A IL18R1 NUCB2 LBP TRIP11 FGL1 KTN1 MKI67 SMC4 SMC2 LGALS8 SCARB2 LAP3 GOSR1 MAN2A2 C4orf32 STT3A MTDH HLA−G SPG21 CNP RCHY1 SAMHD1 LGALS9 PNPT1 LGALS3BP XAF1 OAS2 CMPK2 MX1 OAS3 ISG15 IFI16 SAMD9L DDX60 DTX3L TAP2 TRIM22 BTN3A1 TAP1 STAT1 RNF213 PARP9 SRP68 BST2 APOL6 EEF1G EEF1D SERPING1 DNAJC1"
For heatmaps, boxplots and barplots, significance cutoff is not used.
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