Cytokine Networks
Cytokine Networks - Related Videos
12:58
Expression of Exogenous Cytokine in Patient-derived Xenografts via Injection with a Cytokine-transduced Stromal Cell Line
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Cited by 2 •
2017
Described here is a method for producing exogenous cytokine in patient-derived xenograft (PDX) mice via weekly intraperitoneal injection of a cytokine-transduced stromal cell line. This method broadens the utility of PDX and provides the option for transient or sustained exogenous cytokine delivery in a multitude of PDX models.
02:57
Assessing Antiviral Cytokine Production in Response to Viral Infection
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2026
Source: Zhang, J., et al. Dissecting Innate Immune Signaling in Viral Evasion of Cytokine Production. J. Vis. Exp. (2014)This video demonstrates the process of infecting murine fibroblast cells with herpesvirus and monitoring the resulting antiviral cytokine release and gene expression. It outlines key steps, including viral infection, media collection for cytokine quantification, and cell harvesting for gene expression analysis.
08:32
Dissecting Innate Immune Signaling in Viral Evasion of Cytokine Production
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Cited by 2 •
2014
We describe a protocol to measure the antiviral cytokine production in mice infected with a model herpesvirus, murine gamma herpesvirus 68 (γHV68) that is closely-related to human Kaposi’s sarcoma-associated herpesvirus (KSHV) and Epstein-Barr virus (EBV). Utilizing genetically modified mouse strains and mouse embryonic fibroblasts (MEFs), we assessed the antiviral cytokine production both in vivo and ex vivo. “Reconstituting” the expression of innate immune components in knockout embryonic...
04:49
A Multiplex Bead-Based Immunoassay to Quantify Multiple Cytokine Targets
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2025
This video demonstrates a multiplex bead-based immunoassay for quantifying multiple cytokine targets in a sample. A mixture of distinct microspheres conjugated to cytokine-specific antibodies is used to bind the cytokines present in the sample. Streptavidin-tagged reporters are immobilized on the bound-cytokines using biotinylated detection antibodies. Flow cytometry identifies the bound cytokines based on the unique sizes and internal fluorescence intensities of the microspheres, while the...
02:26
Protein Networks
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2020
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions. These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
FAQs
The outcome depends not only on which cytokine is released, but also on where its receptor is present and how the responding cell interprets the signal. Receptor binding can activate pathways in neighboring or distant cells, allowing one cellular event to influence several tissues. This receptor-specific communication helps explain why the same network can produce different responses in different cellular settings.
Feedback determines whether signaling remains limited or becomes self-reinforcing. Positive interactions can amplify inflammation, whereas suppressive signals can restrain it or redirect the response. Synergy occurs when combined cytokine signals produce a coordinated effect, while antagonism reduces or opposes another signal. Considering these relationships is more informative than examining each cytokine independently, especially when explaining persistent disease activity.
A single-cytokine view focuses on one signal and its direct effects. Network analysis instead considers interconnected release, receptor-mediated responses, feedback, synergy, and antagonism across immune, stromal, and tissue cells. This broader view can reveal how signals amplify, suppress, or redirect one another, providing a more complete explanation of coordinated inflammation, host defense, or tissue repair.
By examining interconnected signals and their effects across cell populations, researchers can identify patterns associated with infection, autoimmune disorders, cancer, or chronic inflammatory disease. The analysis can also support biomarker discovery and indicate which selected signals might be blocked or enhanced while considering the need to preserve protective immunity. These outcomes connect cellular communication patterns with clinically relevant disease processes.
This framework is particularly relevant when inflammation does not resolve or when cellular communication becomes misdirected. For infections, it helps relate host-defense signals to disease processes; in autoimmune disorders, cancer, and chronic inflammatory diseases, it helps examine how altered communication may sustain or redirect responses. Its value lies in connecting signaling patterns with the development and persistence of important medical conditions.
A network perspective supports therapies that block harmful or excessive cytokine signals, or enhance selected signals when increased activity is useful. Because cytokines participate in protective immunity, treatment decisions must account for network effects rather than target a signal in isolation. The intended outcome is to modify disease-associated communication while limiting disruption of beneficial host defense.