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Single-cell profiling of Ebola virus infection in vivo reveals viral and host transcriptional dynamics (ExVivo scRNA-seq)

ABSTRACT: Single-cell profiling of Ebola virus infection in vivo reveals viral and host transcriptional dynamics (ExVivo scRNA-seq)

PROVIDER: PRJNA665230 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR12698500_1.fastq.gz	Fastqsanger.gz
	SRR12698500_2.fastq.gz	Fastqsanger.gz
	SRR12698501_1.fastq.gz	Fastqsanger.gz
	SRR12698501_2.fastq.gz	Fastqsanger.gz
	SRR12698502_1.fastq.gz	Fastqsanger.gz

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Single-cell profiling of Ebola virus infection in vivo reveals viral and host transcriptional dynamics (InVivo scRNA-seq)

Project description:Single-cell profiling of Ebola virus infection in vivo reveals viral and host transcriptional dynamics (InVivo scRNA-seq)

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Single-cell profiling of Ebola virus infection in vivo reveals viral and host transcriptional dynamics (InVivo scRNA-seq)

Project description:Ebola virus (EBOV) causes epidemics with high mortality, yet remains understudied due to the challenge of experimentation in high-containment and outbreak settings. Here, we used single-cell transcriptomics and CyTOF-based single-cell protein quantification to characterize peripheral immune cells during EBOV infection in rhesus monkeys. We obtained 100,000 transcriptomes and 15,000,000 protein profiles, providing insight into pathogenesis: e.g., immature, proliferative monocyte-lineage cells with reduced antigen presentation capacity replace conventional monocyte subsets, while lymphocytes upregulate apoptosis genes and decline in abundance. By quantifying intracellular viral RNA, we identify molecular determinants of tropism among circulating immune cells and examine temporal dynamics in viral and host gene expression. Within infected cells, EBOV down-regulates STAT1 mRNA and interferon signaling, and up-regulates putative pro-viral genes (e.g., DYNLL1 and HSPA5), nominating pathways the virus manipulates for its replication. This study sheds light on EBOV tropism, replication dynamics, and elicited immune response, and provides a framework for characterizing host-virus interactions under maximum containment.

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Project description:Ebola virus (EBOV) causes epidemics with high mortality yet remains understudied due to the challenge of experimentation in high-containment and outbreak settings. Here, we used single-cell transcriptomics and CyTOF-based single-cell protein quantification to characterize peripheral immune cells during EBOV infection in rhesus monkeys. We obtained 100,000 transcriptomes and 15,000,000 protein profiles, finding that immature, proliferative monocyte-lineage cells with reduced antigen-presentation capacity replace conventional monocyte subsets, while lymphocytes upregulate apoptosis genes and decline in abundance. By quantifying intracellular viral RNA, we identify molecular determinants of tropism among circulating immune cells and examine temporal dynamics in viral and host gene expression. Within infected cells, EBOV downregulates STAT1 mRNA and interferon signaling, and it upregulates putative pro-viral genes (e.g., DYNLL1 and HSPA5), nominating pathways the virus manipulates for its replication. This study sheds light on EBOV tropism, replication dynamics, and elicited immune response and provides a framework for characterizing host-virus interactions under maximum containment.

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