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Series GSE110496 Query DataSets for GSE110496
Status Public on Feb 27, 2018
Title Single cell transcriptional dynamics of flavivirus infection
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Dengue and Zika viral infections affect millions of people annually and can be complicated by hemorrhage or neurological manifestations, respectively. However, a thorough understanding of the host response to these viruses is lacking, partly because conventional approaches ignore heterogeneity in virus abundance across cells. We present viscRNA-Seq (virus-inclusive single cell RNA-Seq), an approach to probe the host transcriptome together with intracellular viral RNA at the single cell level. We applied viscRNA-Seq to monitor dengue and Zika virus infection in cultured cells and discovered extreme heterogeneity in virus abundance. We exploited this variation to identify host factors that show complex dynamics and a high degree of specificity for either virus, including proteins involved in the endoplasmic reticulum translocon, signal peptide processing, and membrane trafficking. We validated the viscRNA-Seq hits and discovered novel proviral and antiviral factors. viscRNA-Seq is a powerful approach to assess the genome-wide virus-host dynamics at single cell level.
 
Overall design Dengue and Zika virus huh7 cells were subjected to virus-inclusive single cell RNA-Seq.
 
Contributor(s) Zanini F, Pu S, Bekerman E, Einav S, Quake SR
Citation(s) 29451494
NIH grant(s)
Grant ID Grant title Affiliation Name
U19 AI057229 Genomics Core STANFORD UNIVERSITY STEPHEN R QUAKE
Submission date Feb 12, 2018
Last update date Mar 26, 2019
Contact name Fabio Zanini
E-mail(s) fabio.zanini@fastmail.fm
Organization name University of New South Wales
Lab Zanini
Street address High and Botany St
City Kensington
State/province NSW
ZIP/Postal code 2033
Country Australia
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (2260)
GSM2992421 1001700601_A2
GSM2992422 1001700601_A4
GSM2992423 1001700601_A6
Relations
BioProject PRJNA433871
SRA SRP132726

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

Supplementary file Size Download File type/resource
GSE110496_RAW.tar 375.7 Mb (http)(custom) TAR (of TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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