Unbiased single cell spatial analysis localises inflammatory clusters of immature neutrophils-CD8 T cells to alveolar progenitor cells in fatal COVID-19 lungs
Weeratunga, P.; Denney, L.; Bull, J. A.; Repapi, E.; Sergeant, M.; Etherington, R.; Vuppusetty, C.; Turner, G. D. H.; Clelland, C.; Cross, A.; Issa, F.; de Andrea, C. E.; Bermejo, I. M.; Sims, D.; McGowan, S.; Zurke, Y.-X.; Ahern, D. J.; Gamez, E. C.; Whalley, J.; Richards, D.; Klenerman, P.; Monaco, C.; Udalova, I. A.; Dong, T.; Ogg, G.; Knight, J.; Byrne, H. M.; Taylor, S.; Ho, L.-P.
Show abstract
Single cell spatial interrogation of the immune-structural interactions in COVID -19 lungs is challenging, mainly because of the marked cellular infiltrate and architecturally distorted microstructure. To address this, we developed a suite of mathematical tools to search for statistically significant co-locations amongst immune and structural cells identified using 37-plex imaging mass cytometry. This unbiased method revealed a cellular map interleaved with an inflammatory network of immature neutrophils, cytotoxic CD8 T cells, megakaryocytes and monocytes co-located with regenerating alveolar progenitors and endothelium. Of note, a highly active cluster of immature neutrophils and cytotoxic CD8 T cells, was found spatially linked with alveolar progenitor cells, and temporally with the diffuse alveolar damage stage. These findings provide new insights into how immune cells interact in the lungs of severe COVID-19 disease. We provide our pipeline [Spatial Omics Oxford Pipeline (SpOOx)] and visual-analytical tool, Multi-Dimensional Viewer (MDV) software, as a resource for spatial analysis. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=190 HEIGHT=200 SRC="FIGDIR/small/22283654v1_ufig1.gif" ALT="Figure 1"> View larger version (58K): org.highwire.dtl.DTLVardef@f1332forg.highwire.dtl.DTLVardef@1576abcorg.highwire.dtl.DTLVardef@208c84org.highwire.dtl.DTLVardef@e93975_HPS_FORMAT_FIGEXP M_FIG C_FIG
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