Polygenomic Infection Detection
Polygenomic Infection Detection - Related Videos
07:59
Bioluminescence Imaging to Detect Late Stage Infection of African Trypanosomiasis
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Cited by 3 •
2016
This manuscript describes the use of a bioluminescent strain of African trypanosomes to enable the tracking of late stage infection and demonstrates how in vivo live imaging can be used to visualize infections within the central nervous system in real-time.
03:56
An In Vitro Recombinant Virus Reporter System for the Detection of Viral Infection
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2025
This video demonstrates an in vitro technique to detect hepatitis B virus (HBV) infection via a recombinant HBV reporter system. Upon infecting host cells, the recombinant viral genome expresses the luciferase reporter enzyme, which produces bioluminescence upon oxidizing its substrate — helping detect viral infection.
05:12
Extraction of Total DNA from Leaves for Detection of Bacterial Infection
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2026
Source: Chen, H., et al. Specific and Accurate Detection of the Citrus Greening Pathogen Candidatus liberibacter spp. Using Conventional PCR on Citrus Leaf Tissue Samples. J. Vis. Exp. (2018)This video demonstrates the extraction of total genomic DNA from citrus leaf tissue infected with a pathogenic bacterium. The protocol enables reliable DNA recovery for downstream PCR-based detection of the phloem-limited pathogen.
11:14
Detection of Low Copy Number Integrated Viral DNA Formed by In Vitro Hepatitis B Infection
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Cited by 3 •
2018
We describe here the in vitro generation of HBV DNA via a Hepatitis B virus infection system and the highly sensitive detection of its (1–2 copies) integration using inverse nested PCR.
13:45
Merkel Cell Polyomavirus Infection and Detection
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Cited by 28 •
2019
Here, we present a protocol to infect primary human dermal fibroblast with MCPyV. The protocol includes isolation of dermal fibroblasts, preparation of MCPyV virions, virus infection, immunofluorescence staining, and fluorescence in situ hybridization. This protocol can be extended for characterizing MCPyV-host interactions and discovering other cell types infectable by MCPyV.
FAQs
Each target is assigned pathogen-specific primers or probes that recognize a distinct genomic sequence. After nucleic acid amplification, the assay separates signals according to those target-specific designs, allowing the detected organisms to be differentiated within the same sample. This coordinated targeting is especially important when closely related pathogens must be distinguished rather than reported as a single group.
A patient’s symptoms may reflect co-infection rather than one infectious agent. Detecting multiple genomic targets can expose combinations that a single-pathogen test would overlook, supporting a more complete interpretation of the infectious process. In immunology and infection studies, this also enables investigation of pathogen interactions and how simultaneous infections may shape clinical findings.
Conventional testing generally focuses on one suspected organism, whereas a multiplex design examines several pathogen-specific targets within one sample. This broader coverage can support faster differential diagnosis when symptoms are compatible with more than one infection. It also helps distinguish closely related organisms, a capability that may be difficult when testing is organized around only one pathogen at a time.
Distinct genomic sequences provide the recognition points that connect each infectious agent to its primer or probe. Their use allows the assay to associate an amplification signal with a particular organism instead of treating all detected material as interchangeable. Selecting pathogen-specific targets therefore supports organism-level discrimination and makes the resulting profile more informative for infection assessment.
The workflow begins with a clinical or environmental sample containing potentially infectious material. Pathogen-specific primers or probes are then used to target several genomic sequences, followed by nucleic acid amplification. The resulting signals are discriminated to determine which targets are present. This sequence of targeting, amplification, and signal interpretation produces a multi-organism detection profile from one sample.
Researchers may choose multiplex detection when symptoms do not identify one clear cause, when co-infection is possible, or when rapid differential diagnosis is important. The same strategy supports outbreak surveillance by examining samples for several agents together. It can also inform treatment decisions when more than one infectious agent may contribute to the observed condition.
The combined target profile can reveal whether multiple infectious agents occur in the same clinical or environmental sample, rather than reporting only one suspected organism. In infection research, comparing these profiles can support analysis of pathogen interactions and help identify patterns relevant to outbreaks. The findings may also guide decisions when closely related organisms require separate consideration.