Immune Signature
Immune Signature - Related Videos
01:38
What is the Immune System?
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2019
Overview The immune system comprises diverse biological structures and processes that protect the body from disease. These processes can be classified into innate and adaptive immunity. To work effectively, the immune system needs to detect pathogens by distinguishing the body’s own structures from foreign elements. If this determination fails, autoimmune diseases occur in which the immune system reacts against the body’s own tissue. The Innate Immune System Acts Fast and Non-specifically
05:07
Isolation, Characterization and Functional Examination of the Gingival Immune Cell Network
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Cited by 30 •
2016
We have established a technique for the isolation, phenotypic characterization and functional analysis of immune cells from murine gingiva.
01:36
Humoral Immune Responses
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2019
Overview The humoral immune response, also known as the antibody-mediated immune response, targets pathogens circulating in “humors,” or extracellular fluids, such as blood and lymph. Antibodies target invading pathogens for destruction via multiple defense mechanisms, including neutralization, opsonization, and activation of the complement system. Patients that are impaired in the production of antibodies suffer from severe and frequent infections by common pathogens and unusual pathogens. B...
15:39
Studying Organelle Dynamics in B Cells During Immune Synapse Formation
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Cited by 8 •
2019
Herein we describe two approaches to characterize cell polarization events in B lymphocytes during the formation of an IS. The first, involves quantification of organelle recruitment and cytoskeleton rearrangements at the synaptic membrane. The second is a biochemical approach, to characterize changes in composition of the centrosome, which undergoes polarization to the immune synapse.
09:11
Evaluating the Impact of Hydraulic Fracturing on Streams using Microbial Molecular Signatures
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Cited by 1 •
2021
Here, we present a protocol to investigate the impacts of hydraulic fracturing on nearby streams by analyzing their water and sediment microbial communities.
FAQs
Immune-cell populations can show which cellular players are changing, whereas gene-expression profiles describe broader activity at the transcriptional level. Cytokine levels provide information about immune signaling, and antibody responses reflect another arm of immune activity. Examining these features together helps characterize whether the overall state is activated, suppressed, inflammatory, or tolerant.
The important signal is often the relationship among markers, not an isolated measurement. Coordinated increases or decreases can indicate immune activation, suppression, inflammation, or tolerance, allowing researchers to connect molecular and cellular changes with a disease state. This pattern-based interpretation can reveal immune behavior that a single biomarker may not capture.
Different measurement types can produce complementary signatures rather than interchangeable ones. A cell-population profile emphasizes composition, a gene-expression profile emphasizes activity-related patterns, cytokines reflect signaling levels, and antibodies indicate response patterns. The most appropriate combination depends on the biological question and disease context, because each feature set captures a different aspect of immunity.
To interpret an Immune Signature, researchers relate the biomarker pattern to the person, tissue, or disease state being studied. They then examine whether the combined features support a pattern of activation, suppression, inflammation, or tolerance. This context-based reading helps distinguish biologically meaningful immune states from isolated changes and supports more informative disease characterization.
In medicine, these profiles can support disease classification, prognosis, treatment selection, and monitoring of therapeutic responses. Their value differs by use: classification helps organize disease states, prognosis addresses expected disease course, treatment selection links profiles with therapy choices, and monitoring tracks whether immune-related patterns change during treatment.
These profiles can be applied in cancer, infection, and autoimmune disease to characterize disease-related immune activity and support classification, prognosis, treatment selection, or response monitoring. The specific use depends on the clinical question, but the shared goal is to connect immune patterns with disease state and patient management.
Integrating immune profiles with clinical data can improve patient stratification, meaning the grouping of patients according to relevant characteristics. It also helps researchers identify mechanisms of disease and predictors of response to immunomodulatory therapies. This integration moves interpretation beyond biomarkers alone, linking immune patterns to clinically meaningful groups and treatment outcomes.