Science Immunology

The PDF file includes:

• Fig. S1. NK cell differentiation in COVID-19 disease.
• Fig. S2. NK cell activation in COVID-19 disease.
• Fig. S3. KIRs and NK cell education in COVID-19 disease.
• Fig. S4. Adaptive NK cell expansions in COVID-19.
• Fig. S5. Strategy for UMAP analysis and representative marker expression.
• Fig. S6. Selected PhenoGraph clusters and their markers are expressed differentially across clinical parameter-defined patient groups.
• Fig. S7. Correlations between CD56bright NK cell arming, NK cell phenotype, and soluble factors in COVID-19.
• Table S1. Clinical characteristics of COVID-19 patients.
• Table S2. Clinical laboratory results of COVID-19 patients.
• Table S3. Flow cytometry panel.
• Table S5. KIR-ligand and CMV characteristics.
• Table S6. Clinical laboratory results of all patients with and without adaptive NK cell expansions.
• Table S7. Clinical laboratory results of severe patients with and without adaptive NK cell expansions.
• Table S8. Analysis of the observed distribution of PhenoGraph clusters across clinical parameter-defined groups.

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Other Supplementary Material for this manuscript includes the following:

• Table S4. Gene ontology analysis of DEGs from scRNA-seq analysis of BAL NK cells in COVID-19 (Excel spreadsheet).
• Table S9. Literature-curated interactions from International Molecular Exchange Consortium (IMEx) interactome database (Excel spreadsheet).
• Table S10. Nodes and related degrees and betweenness (Excel spreadsheet).
• Table S11. Overview of the KEGG pathways (Excel spreadsheet).
• Table S12. Raw data file (Excel spreadsheet).