Functional analysis of compartment-specific immature
and subtype-differentiated neutrophils and monocytic macrophages in COVID-19
patients
(A) Five sub-clusters and three cell groups were
identified after the integration of neutrophils in peripheral blood mononuclear
cells (PBMC) and bronchoalveolar lavage (BAL) (Left). The distribution of
compartments is shown on the right.
(B) Sub-clusters (Left) and COVID-19 conditions
(Right) of monocyte-derived macrophages and tissue-resident macrophages were
identified after integration of BAL datasets.
(C) Heatmap of gene modules from ToppCell with top
200 upregulated genes for each neutrophil sub-cluster. Important
neutrophil-associated genes and inferred roles of sub-clusters were shown on two
sides.
(D) Heatmap of associations between subclusters of
neutrophils and macrophages and myeloid-cell-associated pathways (Gene
Ontology). Gene modules with 200 upregulated genes for sub-clusters were used
for enrichment in ToppCluster. Additionally, enrichment of top 200
differentially expressed genes (DEGs) for comparisons in Figures S5D and S6B were appended on the right.
Gene enrichment scores, defined as −log10(adjusted p value),
were calculated as the strength of associations. Pie charts showed the
proportions of COVID-19 conditions in each cluster.
(E) Gene interaction network in the BAL of severe
patients. Highly expressed ligands and receptors of each cell type in the BAL of
severe patients were selected based on Figure S8. Among them, genes with unique and
distinct expression patterns in each cell type were chosen, for example, CCL17
for cDCs and CXCR1 for neutrophils. Interaction was inferred using both CellChat
database and embedded cell interaction database in ToppCell. The molecular
interaction between cell types is represented as a flow of arrows in such a way:
secreting cells → ligands → receptors → receptor cells, where rectangles
represent various cell types and hexagons represent ligands and receptors. The
color for a gene is consistent with the cell type with the highest expression
level. See also Figures
S5–S11 and Table
S3.