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. 2021 Mar 22;17(3):e9923. doi: 10.15252/msb.20209923

Figure EV5. OmniPath‐based NicheNet analysis to predict over‐expressed ligands in SARS‐CoV‐2 infection potentially affecting the expression of inflammatory response related genes in Calu3 cells.

Figure EV5

  1. Most significantly enriched gene sets after SARS‐CoV‐2 infection on the Calu3 cell line. Inflammatory response is highlighted in red.
  2. Results of NicheNet’s ligand activity analysis: Number of over‐expressed ligands after SARS‐CoV‐2 infection and their potential to predict the inflammatory response gene set based on the Pearson correlation coefficient. The top 12 ranked ligands, out of a total of 117 over‐expressed ligands, were selected.
  3. Regulatory potential of the top ranked ligands and target genes from the inflammatory response program based on NicheNet’s prior knowledge model.
  4. Ligand–receptor interaction potential based on NicheNet’s prior knowledge model between the top ranked ligands and the receptors expressed in the Calu3 cell line.