Science Immunology

Supplementary Materials

This PDF file includes:

  • Fig. S1. Clinical characteristics and assessment of the quality of scRNA-seq results.
  • Fig. S2. Transcriptome features of highly variable genes.
  • Fig. S3. Characterization of disease-specific CD8+ T-cell subpopulations.
  • Fig. S4. Subpopulation analysis of classical monocytes.
  • Fig. S5. STRING analysis of up-regulated genes in cluster 1 obtained from the trajectory analysis of classical monocytes.

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Other Supplementary Material for this manuscript includes the following:

  • Table S1. Experimental batches of scRNA-seq.
  • Table S2. Clinical characteristics of severe influenza patients.
  • Table S3. Clinical characteristics of COVID-19 patients.
  • Table S4. The scRNA-seq results.
  • Table S5. A list of marker genes for each cluster.
  • Table S6. A list of DEGs and associated biological pathways in Fig. 2B.
  • Table S7. Cell types in which the GBP1, CREM, and CCL3 were upregulated in Fig. 2C.
  • Table S8. A list of genes in each module obtained from WGCNA in Fig. 2D.
  • Table S9. A list of up-regulated genes in non-EM-like CD8+ T-cell subpopulations.
  • Table S10. A list of genes included in each cluster defined by K-mean clustering of classical monocytes.
  • Table S11. A list of genes up-regulated in early and late Pseudotime.

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