Single-Cell Gene Expression Analysis Revealed Immune Cell Signatures of Delta COVID-19.
Abusaid M ShaymardanovOlga A AntonovaAnastasia D SokolKseniia A DeinichenkoPolina G KazakovaMikhail M MilovanovAlexander V ZakubanskyAlexandra I AkinshinaAnastasia V TsypkinaSvetlana V RomanovaVladimir E MukhinSergey I MitrofanovVladimir S YudinSergey M YudinAntonida V MakhotenkoAnton A KeskinovSergey A KraevoyEkaterina A SnigirDmitry V SvetlichnyyVeronika I SkvortsovaPublished in: Cells (2022)
The coronavirus disease 2019 (COVID-19) is accompanied by a cytokine storm with the release of many proinflammatory factors and development of respiratory syndrome. Several SARS-CoV-2 lineages have been identified, and the Delta variant (B.1.617), linked with high mortality risk, has become dominant in many countries. Understanding the immune responses associated with COVID-19 lineages may therefore aid the development of therapeutic and diagnostic strategies. Multiple single-cell gene expression studies revealed innate and adaptive immunological factors and pathways correlated with COVID-19 severity. Additional investigations covering host-pathogen response characteristics for infection caused by different lineages are required. Here, we performed single-cell transcriptome profiling of blood mononuclear cells from the individuals with different severity of the COVID-19 and virus lineages to uncover variant specific molecular factors associated with immunity. We identified significant changes in lymphoid and myeloid cells. Our study highlights that an abundant population of monocytes with specific gene expression signatures accompanies Delta lineage of SARS-CoV-2 and contributes to COVID-19 pathogenesis inferring immune components for targeted therapy.
Keyphrases
- sars cov
- coronavirus disease
- single cell
- gene expression
- respiratory syndrome coronavirus
- rna seq
- immune response
- high throughput
- dna methylation
- bone marrow
- genome wide
- peripheral blood
- induced apoptosis
- acute myeloid leukemia
- candida albicans
- cell proliferation
- case report
- endoplasmic reticulum stress
- single molecule
- data analysis
- case control