Dual spatially resolved transcriptomics for human host–pathogen colocalization studies in FFPE tissue sections

Abstract

Abstract Technologies to study localized host–pathogen interactions are urgently needed. Here, we present a spatial transcriptomics approach to simultaneously capture host and pathogen transcriptome-wide spatial gene expression information from human formalin-fixed paraffin-embedded (FFPE) tissue sections at a near single-cell resolution. We demonstrate this methodology in lung samples from COVID-19 patients and validate our spatial detection of SARS-CoV-2 against RNAScope and in situ sequencing. Host–pathogen colocalization analysis identified putative modulators of SARS-CoV-2 infection in human lung cells. Our approach provides new insights into host response to pathogen infection through the simultaneous, unbiased detection of two transcriptomes in FFPE samples.

Keywords

• Spatial transcriptomics
• Host–pathogen interactions
• Colocalization analysis
• Formalin-fixed paraffin-embedded (FFPE) tissues