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Identification of distinct immune cell subsets associated with various clinical presentations, disease severity and viral persistence of SARS-CoV-2 infection

ABSTRACT: Identification of distinct immune cell subsets associated with various clinical presentations, disease severity and viral persistence of SARS-CoV-2 infection

PROVIDER: PRJNA693201 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR13482510_1.fastq.gz	Fastqsanger.gz
	SRR13482510_2.fastq.gz	Fastqsanger.gz
	SRR13482511_1.fastq.gz	Fastqsanger.gz
	SRR13482511_2.fastq.gz	Fastqsanger.gz
	SRR13482512_1.fastq.gz	Fastqsanger.gz

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Project description:The clinical presentations and outcomes of SARS-CoV-2 infection are highly variable, ranging from asymptomatic infections to severe conditions, and the underlying mechanisms remain largely unknown. In this study, we performed the single-cell RNA sequencing to examine the profiles of the peripheral blood mononuclear cells (PBMCs) from the healthy controls (HC), asymptomatic individuals (AS) and symptomatic COVID-19 patients (SM) with various clinical features and disease severity. We first identified nine major cell types, including T cells, B cells, monocytes, natural killer (NK) cells, dendritic cells (DC), platelets, neutrophils, plasma cells and stem cells from a total of 119,799 single cells captured and filtered for the final analysis, and then divided these cell types into separate cell clusters and sub-clusters, respectively. We revealed that SARS-CoV-2 infection resulted in profound alternations in various cellular compartments and identified a number of distinct immune cell subsets that were associated with various clinical presentations, disease severity and viral persistence of COVID-19. (NCAM1+CD160+) NK cells increased significantly in AS and SM individuals compared with the HC. SM patients showed a significant increase in (LAG3+CD160+CD8+) NKT cells and a decrease in (CD4-CD8-) double negative T cells compared with the AS subjects. (CD68-CSF1R-IL1BhiCD14+) classical monocytes were significantly higher in patients with severe disease (SD) than the patients with moderate disease (MD). (CD68-CSF1R-IL1BhiCD14+) classical monocytes and (CLEC10A-S100A9lo)pDC were positively and negatively correlated with the age-related disease severity of COVID-19 patients, respectively. Increases in (CD33-HLA-DMA-CD14+) classical monocytes and (CLEC10A-S100A9lo)pDC were associated with long-term nucleic acid test positive (LTNP) patients compared with the short-term nucleic acid test positive (STNP) individuals. Increases in (LAG3+CD160+CD8+) NKTcells and (FOXP3+IL2RA+IL7R+CD4+) Treg cells were observed in a patient lacking B cells and plasma cells. Dramatic increases in neutrophils, (CD33-HLA-DMA-CD14+) classical monocytes, and (CD68-CSF1R-IL1BhiCD14+) classical monocytes were detected at a later stage of a fatal patient. Our findings may enhance our understanding of the immune cell alternations involved in the pathogenesis of COVID-19 and the protective immune responses against SARS-CoV-2 infection.

Project description:Targeted HIV cure strategies require definition of the mechanisms that maintain the virus. Here, we tracked HIV replication and the persistence of infected CD4 T cells in individuals with natural virologic control by sequencing viruses, T cell receptor genes, HIV integration sites and cellular transcriptomes. Our results revealed three mechanisms of HIV persistence operating within distinct anatomic and functional compartments. In lymph node, we detected viruses with genetic and transcriptional attributes of active replication in both T follicular helper (TFH) cells and non-TFH memory cells. In blood, we detected inducible proviruses of archival origin among highly differentiated, clonally expanded cells. Linking the lymph node and blood was a small population of circulating cells harboring inducible proviruses of recent origin. Thus, HIV replication in lymphoid tissue, clonal expansion of infected cells, and recirculation of recently infected cells act together to maintain the virus in HIV controllers despite effective antiviral immunity. Fluorescence-activated cell sorting (FACS) was used to sort subsets of CD4 T cells from blood (peripheral blood mononuclear cells; PBMC) and lymph node from a cohort of HIV-infected people with natural control of the virus (termed HIV controllers). Subsets of CD4 T cells that were sorted are as follows: from blood, (1) naÃ¯ve (N), (2) central memory (CM), (3) transitional memory (TM), and (4) effector memory (EM); from lymph node, (1) naÃ¯ve (N), (2) non-germinal center T-follicular helpers (nGC), (3) germinal center T-follicular helpers (Tfh), (4) effector memory (EM), and (5) other central memory-like subsets (CMPD1lo57lo, CMPD1lo57hi, and/or CMPD1lo). Total RNA and total DNA were extracted from these sorted subsets in separate fractions using RNAzol RT and DNAzol. Total cellular DNA was used for HIV quantification and sequence analysis as describe in the publication. Total RNA used for mRNA library construction by oligo-dT purification (Dynabeads), random fragmentation by heating in the presence of Magnesium (in form of 5x first-strand buffer, LifeTech), reverse transcription (SuperScript III), and then second-strand synthesis, end repair, a-tailing, and adaptor ligation using NEBNext enzyme master mixes and oligonucleotides. Libraries were sequenced on an Illumina HiSeq2000. Please note that each 'source name' value represent individual who havs HIV infection with natural control of the virus.

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Identification of distinct immune cell subsets associated with various clinical presentations, disease severity and viral persistence of SARS-CoV-2 infection

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