HLA-dependent heterogeneity and macrophage immunoproteasome activation during lung COVID-19 disease.

ABSTRACT:

Background

The worldwide pandemic caused by the SARS-CoV-2 virus is characterized by significant and unpredictable heterogeneity in symptoms that remains poorly understood.

Methods

Transcriptome and single cell transcriptome of COVID19 lung were integrated with deeplearning analysis of MHC class I immunopeptidome against SARS-COV2 proteome.

Results

An analysis of the transcriptomes of lung samples from COVID-19 patients revealed that activation of MHC class I antigen presentation in these tissues was correlated with the amount of SARS-CoV-2 RNA present. Similarly, a positive relationship was detected in these samples between the level of SARS-CoV-2 and the expression of a genomic cluster located in the 6p21.32 region (40 kb long, inside the MHC-II cluster) that encode

SUBMITTER: Desterke C 

PROVIDER: S-EPMC8256232 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature