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| 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
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| 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.
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| Overall design |
Blood cells from dengue virus infected human patients were subjected to virus-inclusive single cell RNA-Seq.
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| 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 |
| E-mail(s) |
fabio.zanini@fastmail.fm
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| Organization name |
University of New South Wales
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| Lab |
Zanini
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| Street address |
High and Botany St
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| City |
Kensington |
| State/province |
NSW |
| ZIP/Postal code |
2033 |
| Country |
Australia |
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| Platforms (2) |
| GPL18573 |
Illumina NextSeq 500 (Homo sapiens) |
| GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
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| Samples (13127)
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| Relations |
| BioProject |
PRJNA479871 |
| SRA |
SRP152576 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE116672_RAW.tar |
2.1 Gb |
(http)(custom) |
TAR (of TSV) |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data provided as supplementary file |
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