Host Factors
Host Factors - Related Videos
08:20
RNAi Screening for Host Factors Involved in Vaccinia Virus Infection using Drosophila Cells
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Cited by 10 •
2010
Novel host factors involved in viral infection can be identified through cell-based genome-wide loss of function RNAi screening. A Drosophila cell culture model is particularly amenable to this approach due to the ease and efficiency of RNAi. Here we demonstrate this technique using vaccinia virus as an example.
15:29
Microscopy-based Assays for High-throughput Screening of Host Factors Involved in Brucella Infection of Hela Cells
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Cited by 6 •
2016
Two assays for microscopy-based high-throughput screening of host factors involved in Brucella infection are described. The entry assay detects host factors required for Brucella entry and the endpoint assay those required for intracellular replication. While applicable for alternative approaches, siRNA screening in HeLa cells is used to illustrate the protocols.
06:02
Arbovirus Infections As Screening Tools for the Identification of Viral Immunomodulators and Host Antiviral Factors
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Cited by 8 •
2018
Here, we present the protocols to identify 1) virus-encoded immunomodulators that promote arbovirus replication and 2) eukaryotic host factors that restrict arbovirus replication. These fluorescence- and luminescence-based methods allow researchers to rapidly obtain quantitative readouts of arbovirus replication in simplistic assays with low signal-to-noise ratios.
04:15
Extracting Host Cell Lysate from Infected Host Cells Cultured in a Permeable Membrane System
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2025
This video demonstrates a permeable membrane insert system to investigate the impact of bacterial toxins on host cells in a controlled and isolated manner. This approach allows for the selective exposure of the cells to the toxins while maintaining a physical separation that mimics the natural host-pathogen interaction.
08:51
Genome-wide RNAi Screening to Identify Host Factors That Modulate Oncolytic Virus Therapy
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Cited by 3 •
2018
Here we describe a protocol for employing high-throughput RNAi screening to uncover host targets that can be manipulated to enhance oncolytic virus therapy, specifically rhabodvirus and vaccinia virus therapy, but it can be readily adapted to other oncolytic virus platforms or for discovering host genes that modulate virus replication generally.
FAQs
Barrier integrity and receptor availability can determine whether a pathogen reaches susceptible cells and establishes infection. Once entry occurs, cellular conditions and signaling pathways influence replication and the strength of innate and adaptive immune responses. These linked effects help explain why changes in a host’s biology can alter disease progression and severity.
Age, genetics, metabolic state, prior exposure, and the resident microbiome each provide a different biological context. They may modify susceptibility or disease intensity by influencing immune readiness, cellular resources, or previous immune experience. Considering these variables together is important because a single characteristic rarely captures the full range of responses among individuals.
Differences in barrier integrity, receptor availability, immune signaling, and prior exposure can change how infection develops in each person. Genetic, physiological, cellular, and environmental variation may affect pathogen entry, replication, or immune control. Consequently, individuals exposed to the same biological challenge can experience different levels of susceptibility, severity, and recovery.
Host cellular conditions influence early innate signaling, which contributes to the initial response to a biological challenge. Prior exposure and other characteristics can also affect adaptive immune activity, the more specific response that develops through immune experience. Examining both response types helps researchers connect host biology with infection outcomes and disease severity.
Researchers relate genetic, physiological, cellular, and environmental characteristics to outcomes such as susceptibility, disease severity, and treatment response. They can then look for patterns that distinguish individuals with different clinical or biological responses. This approach supports the identification of host-related biomarkers and improves understanding of variation during host-pathogen interactions.
Host-factor research can identify biomarkers associated with increased risk or altered disease outcomes. It also helps explain why age, metabolic state, prior exposure, or microbiome differences may coincide with different responses to infection. These findings provide a basis for characterizing susceptibility and for studying how biological variation contributes to disease severity.
Understanding host influences can show whether treatment outcomes depend partly on a person’s biological context. Researchers may use that information to develop therapies that strengthen protective responses or target vulnerabilities in disease-causing organisms. The same framework also clarifies why an intervention may produce different results across individuals with different host characteristics.