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Series GSE116672 Query DataSets for GSE116672
Status Public on Nov 19, 2018
Title In vivo molecular signatures of severe dengue infection revealed by viscRNA-Seq
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Dengue virus infection can result in severe symptoms including shock and hemorrhage, but an understanding of the molecular correlates of disease severity is lacking. Bulk transcriptomics on blood samples are difficult to interpret because the blood is composed of different cell types that may react differently to virus infection. Dengue virus RNA can be detected in human plasma, however identifying the cells carrying dengue virus through the bloodstream in vivo has proven challenging. Here we used our recently developed viscRNA-Seq approach to profile transcriptomes of thousands of single blood peripheral mononuclear cells from 6 human subjects with dengue fever and severe dengue, as well as to characterize the cell types associated with dengue virus in the human blood. We found that although no bulk transcriptome marker for severe dengue exists, the expression of MX2 in naive B cells, of CD163 in CD14+/CD16+ monocytes and of other genes in specific cell types is highly predictive for severe dengue. We detected virus-associated cells in the blood of two severe dengue patients with high viral load and discovered the majority of these to be B cells expressing germline IgM or IgD immunoglobulin chains and naive markers but also showing signs of activation and expression of CD69, CXCR4, and other surface receptors. In bystander B cells we detected signs of strong immune activation, parallel hypersomatic evolution and, in one severe degue subject, an anomalously large clone of highly mutated, IgG1 plasmablasts that could be reactive to dengue virus. This study presents a high-resolution molecular exploration into dengue virus infection in humans and can be generalized to any RNA virus.
Overall design Blood cells from dengue virus infected human patients were subjected to virus-inclusive single cell RNA-Seq.
Contributor(s) Zanini F, Robinson ML, Croote D, Sahoo MK, Sanz AM, Ortiz-Lasso E, Albornoz LL, Suarez FR, Montoya JG, Goo L, Pinsky BA, Quake SR, Einav S
Citation(s) 30530648, 31820734
Submission date Jul 05, 2018
Last update date Dec 31, 2019
Contact name Fabio Zanini
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 (2)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (13127)
GSM3245112 1001701101_A1
GSM3245113 1001701101_A2
GSM3245114 1001701101_A3
BioProject PRJNA479871
SRA SRP152576

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Supplementary file Size Download File type/resource
GSE116672_RAW.tar 2.1 Gb (http)(custom) TAR (of TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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