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Series GSE158442 Query DataSets for GSE158442
Status Public on Sep 23, 2020
Title Single-cell profiling of Ebola virus infection in vivo reveals viral and host transcriptional dynamics (InVivo scRNA-seq)
Organism Macaca mulatta
Experiment type Expression profiling by high throughput sequencing
Summary 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.
 
Overall design Single-cell RNA-Seq analysis of circulating immune cells transcriptomes in a rhesus macaque in vivo Ebola infection model at multiple days post innoculation.
 
Contributor(s) Kotliar D, Lin AE
Citation(s) 33159858
Submission date Sep 23, 2020
Last update date Dec 15, 2020
Contact name Dylan Kotliar
E-mail(s) Dylan_Kotliar@HMS.Harvard.edu
Phone 7323790215
Organization name Broad Institute
Department Viral genomics
Lab Sabeti Lab
Street address 4 Garnder Rd, Apt 2
City Cambridge
State/province MA
ZIP/Postal code 02139
Country USA
 
Platforms (1)
GPL27943 Illumina NovaSeq 6000 (Macaca mulatta)
Samples (82)
GSM4800330 NHP19.D004.fresh.a1
GSM4800331 NHP22.D006.fresh.a1
GSM4800332 NHP23.D006.fresh.a1
This SubSeries is part of SuperSeries:
GSE158390 Single-cell profiling of Ebola virus infection in vivo reveals viral and host transcriptional dynamics
Relations
BioProject PRJNA665231
SRA SRP285116

Download family Format
SOFT formatted family file(s) SOFTHelp
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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE158442_Kotliar2020_InVivo_Seqwell_UMI_counts_barcodes.tsv.gz 1.7 Mb (ftp)(http) TSV
GSE158442_Kotliar2020_InVivo_Seqwell_UMI_counts_expression.mtx.gz 264.9 Mb (ftp)(http) MTX
GSE158442_Kotliar2020_InVivo_Seqwell_UMI_counts_features.tsv.gz 160.1 Kb (ftp)(http) TSV
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Raw data are available in SRA
Processed data are available on Series record

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