Researchers use spatial single-cell transcriptome technique to examine immune signatures of SARS-CoV-2-infected lungs

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Researchers use spatial single-cell transcriptome technique to examine immune signatures of SARS-CoV-2-infected lungs
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Researchers use spatial single-cell transcriptome technique to examine immune signatures of SARS-CoV-2-infected lungs Cell Coronavirus Disease COVID Lungs SARSCoV2 medrxivpreprint PittDeptofMed UTSA IcahnMountSinai PittTweet

By Neha MathurMar 1 2023Reviewed by Benedette Cuffari, M.Sc. *Important notice: medRxiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or treated as established information.

About the study In the present study, researchers used five COVID-19 autopsies and one uninfected postmortem case to retrieve tissues for SSCTA analysis. All tissues exhibited pulmonary thromboembolism, lymphocytic infiltration, and DAD of varying degrees after staining with hematoxylin and eosin . Local feature distributions in the neighboring region of the cell with a fixed cell number or radius were also calculated. This approach allowed for the generation of spatial gene expression and co-expression maps of ligand-receptor pairs.

Differential expression analysis of genes in SARS-CoV-2-infected and uninfected lung tissue cells compared to cells in the non-COVID-19 lung tissue revealed that SARS-CoV-2 exerted similar effects on these cells across all tissues. These indirect effects of inflammation and complement activation might also be responsible for lung pathology in COVID-19 patients.

Consistent with pathological investigations, NCTC analysis revealed unorganized distributions of ACs, VECs, and fibroblasts, which were the major parenchymal cell types in SARS-CoV-2-infected tissues. In addition, differential gene expression evaluations of COVID-19 and non-COVID-19 lung tissues identified nine and ten up and downregulated genes, respectively.

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