| Title |
High-dimensional CyTOF analysis of dengue virus–infected human DCs reveals distinct viral signatures
|
|---|---|
| Published in |
JCI Insight, July 2017
|
| DOI | 10.1172/jci.insight.92424 |
| Pubmed ID | |
| Authors | |
| Abstract |
Dengue virus (DENV) is the most prevalent mosquito-borne virus causing human disease. Of the 4 DENV serotypes, epidemiological data suggest that DENV-2 secondary infections are associated with more severe disease than DENV-4 infections. Mass cytometry by time-of-flight (CyTOF) was used to dissect immune changes induced by DENV-2 and DENV-4 in human DCs, the initial targets of primary infections that likely affect infection outcomes. Strikingly, DENV-4 replication peaked earlier and promoted stronger innate immune responses, with increased expression of DC activation and migration markers and increased cytokine production, compared with DENV-2. In addition, infected DCs produced higher levels of inflammatory cytokines compared with bystander DCs, which mainly produced IFN-induced cytokines. These high-dimensional analyses during DENV-2 and DENV-4 infections revealed distinct viral signatures marked by different replication strategies and antiviral innate immune induction in DCs, which may result in different viral fitness, transmission, and pathogenesis. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 44% |
| Mexico | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 1 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 22% |
| Student > Ph. D. Student | 11 | 16% |
| Student > Master | 11 | 16% |
| Student > Bachelor | 6 | 9% |
| Other | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 14 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 13 | 19% |
| Agricultural and Biological Sciences | 12 | 17% |
| Biochemistry, Genetics and Molecular Biology | 11 | 16% |
| Medicine and Dentistry | 9 | 13% |
| Social Sciences | 3 | 4% |
| Other | 4 | 6% |
| Unknown | 17 | 25% |