Dengue Virus Detection
Dengue Virus Detection - Related Videos
09:11
Visualizing Dengue Virus through Alexa Fluor Labeling
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Cited by 12 •
2011
Taking advantage of the advancements in fluorophore development and imaging technology, a simple method of Alexa Fluor labeling of dengue virus was devised to visualize the early interactions between virus and cell.
03:18
Antibody-Dependent Enhancement of Zika Virus by Dengue Antibodies in Human Primary Macrophages
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2026
Source: Asad, S., et al. Quantification of Antibody-dependent Enhancement of the Zika Virus in Primary Human Cells. J. Vis. Exp. (2019)This video demonstrates antibody-dependent enhancement of Zika virus infection in human primary macrophages, using dengue antibody–virus complexes to model how cross-reactive antibodies facilitate Fcγ receptor–mediated viral entry and replication for studying infection mechanisms and immune interactions.
15:25
Protocol for Dengue Infections in Mosquitoes (A. aegypti) and Infection Phenotype Determination
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Cited by 35 •
2007
Once a gene is identified as potentially refractory for the dengue virus, it must be evaluated for it's role in preventing viral infections within the mosquito. This protocol illustrates how the extent of dengue infections of mosquitoes can be assayed. The techniques for growing up the virus in culture, membrane feeding mosquitoes human blood, and assaying viral titers in the mosquito midgut are demonstrated.
17:50
Preventing the Spread of Malaria and Dengue Fever Using Genetically Modified Mosquitoes
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Cited by 10 •
2007
In this candid interview, Anthony A. James explains how mosquito genetics can be exploited to control malaria and dengue transmission. Population replacement strategy, the idea that transgenic mosquitoes can be released into the wild to control disease transmission, is introduced as well as the concept of genetic drive and the design criterion for an effective genetic drive system. The ethical considerations of releasing genetically-modified organisms into the wild are also discussed.
10:05
High-throughput Detection Method for Influenza Virus
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Cited by 8 •
2012
This method describes the use of Infrared dye based imaging system for detection of H1N1 in bronchioalveolar lavage (BAL) fluid of infected mice at a high sensitivity. This methodology can be performed in a 96- or 384-well plate, requires <10 μl volume of test material and has the potential for concurrent screening of multiple pathogens.
FAQs
The molecular workflow begins by extracting viral RNA from a clinical sample. Reverse transcription is then followed by polymerase chain reaction, which amplifies dengue-specific sequences. This sequence-based recognition gives the assay a defined molecular target and enables detection through the resulting amplification signal. The approach is relevant when direct evidence of viral material is needed for laboratory diagnosis.
Dengue Virus Detection can distinguish direct viral markers from host immune responses by using different assay designs. NS1 antigen tests measure a viral protein, whereas serological assays detect IgM or IgG antibodies produced by the host. Molecular assays instead recognize viral RNA sequences. Comparing these target types helps interpret whether findings reflect infection or prior exposure.
In biochemistry, signal generation must occur under controlled assay conditions. Those conditions support reliable interactions between assay components and their intended targets, whether the target is a nucleic acid sequence, NS1 protein, or antibody. Maintaining this control improves the consistency of measurable results and strengthens interpretation in diagnostic performance studies.
Depending on the assay, a laboratory workflow can involve extracting viral RNA, performing reverse transcription and polymerase chain reaction, or applying antigen and serological approaches that measure NS1, IgM, or IgG. The selected pathway determines whether the result reflects a viral sequence, viral antigen, or host antibody response, allowing interpretation to match the diagnostic question.
Method selection depends on the information required from a clinical sample. Molecular and NS1 approaches measure viral material or a viral protein, while IgM and IgG assays measure host responses. Using these different targets can help distinguish current infection from prior exposure and supports differential diagnosis when dengue must be considered among other possible causes.
Beyond individual diagnosis, Dengue Virus Detection supports outbreak monitoring, epidemiological studies, and evaluation of diagnostic performance. Molecular, antigen, and serological results provide different measurable readouts, allowing researchers to examine viral targets alongside host antibody responses. These data contribute to surveillance activities and help inform broader public health responses.