Transcriptomics

Dataset Information

0

Single-cell analysis identifies shared and distinct immune features of COVID-19, Influenza and other community-acquired pneumonia


ABSTRACT: The exact immunopathophysiology of COVID-19 remains clouded by methodological heterogeneity and a lack of relevant disease controls. The absence of single-cell investigations into the broader population of patients with community-acquired pneumonia (CAP) renders it difficult to distinguish immune features unique to COVID-19 from the common characteristics of a dysregulated host response to pneumonia. We performed integrated single-cell transcriptomic and proteomic analyses in PBMCs from a strictly matched cohort of eight patients with COVID-19, eight patients with CAP, and four non-infectious control subjects. With this balanced, multi-omic approach we describe diverging transcriptional and phenotypic patterns in T cell, NK cell and monocyte populations between patients with CAP caused by either SARS-CoV-2, Influenza A or other pathogens, and thereby expand our understanding of the peripheral immune response in different forms of CAP.

ORGANISM(S): Homo sapiens

PROVIDER: GSE164948 | GEO | 2021/08/31

REPOSITORIES: GEO

Similar Datasets

2021-08-05 | GSE160329 | GEO
2021-08-05 | GSE159474 | GEO
2021-08-18 | GSE137294 | GEO
2018-12-26 | GSE103119 | GEO
2021-03-03 | GSE168018 | GEO
2021-03-03 | GSE168017 | GEO
2022-10-17 | GSE188309 | GEO
2016-08-11 | MTBLS354 | MetaboLights
2023-03-11 | PXD036491 | Pride
2023-10-11 | GSE236177 | GEO