2021
DOI: 10.1186/s12967-021-02965-5
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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… Show more

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Cited by 19 publications
(15 citation statements)
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References 63 publications
(79 reference statements)
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“…Meanwhile, in previous clinical trials, a decrease in the expression of PPAR subtypes and an increase in the serum level of proinflammatory cytokines have been observed in inflammatory lungs of patients with severe COVID-19 (112,113,140). Additionally, in agreement with the results of clinical studies, several recent transcriptomics studies using microarray, RNA-sequencing (RNA-seq), and singlecell RNA-seq techniques have reported downregulation of PPARs in various tissues including whole blood, lung epithelial cells, bronchoalveolar lavage fluids (BALFs), and peripheral blood mononuclear cells (PBMCs) in the SARS-CoV-2-infected individuals (141)(142)(143)(144)(145). Following these findings, the results of previous proteomics and metabolomics studies also indicate the interference of SARS-CoV-2 infection in PPAR signaling (146,147).…”
Section: Control Of Inflammation By Ppars During Sars-cov-2 Infectionsupporting
confidence: 72%
“…Meanwhile, in previous clinical trials, a decrease in the expression of PPAR subtypes and an increase in the serum level of proinflammatory cytokines have been observed in inflammatory lungs of patients with severe COVID-19 (112,113,140). Additionally, in agreement with the results of clinical studies, several recent transcriptomics studies using microarray, RNA-sequencing (RNA-seq), and singlecell RNA-seq techniques have reported downregulation of PPARs in various tissues including whole blood, lung epithelial cells, bronchoalveolar lavage fluids (BALFs), and peripheral blood mononuclear cells (PBMCs) in the SARS-CoV-2-infected individuals (141)(142)(143)(144)(145). Following these findings, the results of previous proteomics and metabolomics studies also indicate the interference of SARS-CoV-2 infection in PPAR signaling (146,147).…”
Section: Control Of Inflammation By Ppars During Sars-cov-2 Infectionsupporting
confidence: 72%
“…The involvement of the immunoproteasome in antigen processing influences the pathogen-induced cytotoxic T lymphocyte (CTL) responses, pathogen clearance, and shapes the CTL repertoire [5][6][7][8][9][10]. Apart from MHC-I antigen processing, immunoproteasomes are involved in T cell expansion [7,11,12], T helper cell differentiation [13,14], macrophage polarisation [15,16], in protection from immunopathological damage in the brain [17,18], lung-associated diseases [19][20][21][22], neurodegenerative diseases [23][24][25][26][27][28][29][30][31], and inflammatory diseases [14,[32][33][34][35][36][37][38][39] (summarized in [40]). A specific role of the immunoproteasome in NF-κB activation has remained controversial [41][42][43][44][45].…”
Section: Introductionmentioning
confidence: 99%
“…These associations involve TAP1 and TAP2 , which participate in the peptide pumping from the cytoplasm to the endoplasmic reticulum, and gene HLA-A , which will present these peptides on the cell surface to T CD8 lymphocytes ( Tables 1 , 2 ). High expression levels of TAP1 and TAP2 are correlated with the amount of virus in lung tissue ( 70 ). The TAP2 signal might be a hitchhiking association due to linkage with HLA-DOB*01:02 ( Figure S7 ).…”
Section: Discussionmentioning
confidence: 99%
“…The higher frequency of 62R-63N in the SEVERE group is related to alleles A*33:03, A*68:01, and A*68:02. A*68 alleles are among the strong binders for SARs-CoV-2 peptides ( 78 , 79 ) and among the best binders for respiratory viruses ( 70 ).…”
Section: Discussionmentioning
confidence: 99%