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Data · dataset · 2023

Proteomic analysis of circulating immune cells identifies novel cellular phenotypes associated with COVID-19 severity

Listed in Teesside University Research Data Repository

Certain serum proteins, including CRP and D-dimer, have prognostic value in patients with SARS-CoV-2 infection.

Description

Nonetheless, these factors are non-specific, and provide limited mechanistic insight into the peripheral blood mononuclear cell (PBMC) populations which drive the pathogenesis of severe COVID-19. To identify novel cellular phenotypes associated with disease progression, we here describe a comprehensive, unbiased analysis of the total and plasma membrane proteomes of PBMCs from a cohort of 40 unvaccinated individuals with SARS-CoV-2 infection, spanning the whole spectrum of disease severity.

Combined with RNA-seq and flow cytometry data from the same donors, we define a comprehensive multi-omic profile for each severity level, revealing cumulative immune cell dysregulation in progressive disease. In particular, the cell surface proteins CEACAMs1, 6 and 8, CD177, CD63 and CD89 are strongly associated with severe COVID-19, corresponding to the emergence of atypical CD3+CD4+CD177+ and CD16+CEACAM1/6/8+ mononuclear cells.

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Utilisation of these markers may facilitate real-time patient assessment by flow cytometry, and identify immune cell populations that could be targeted to ameliorate immunopathology.

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Catalogue records · 1

Topics

Inferred from text
Biochemistry and cell biology 71% · Disease 75% · RNA sequencing 65%
Provenance · 1 source records, 13 field assertions
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