2026-10-14T18:43:38Z https://data.mendeley.com/oai

oai:data.mendeley.com/dx69469n8x.1 2023-03-29T08:19:58Z

Weekes, Michael Proteomic analysis of circulating immune cells identifies novel cellular phenotypes associated with COVID-19 severity Mendeley Data Certain serum proteins, including CRP and D-dimer, have prognostic value in patients with SARS-CoV-2 infection. 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. 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. Expression Proteomics Dataset doi:10.17632/dx69469n8x.1 oai:data.mendeley.com/dx69469n8x.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/dx69469n8x 2023-03-29T08:19:58Z