Longitudinal Immune Profiling
Longitudinal Immune Profiling - Related Videos
02:20
Longitudinal Research
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2020
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
01:26
Longitudinal Studies
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2025
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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
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.
08:29
Expression Profiling with Microarrays
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2023
Microarrays are important tools for profiling gene expression, and are based on complementary binding between probes that are attached to glass chips and nucleic acids derived from samples. Using these arrays, scientists can simultaneously evaluate the expression of thousands of genes. In addition, the expression profiles of different cells or tissue types can be compared, allowing researchers to deduce how the expression of different genes change during biological processes, and thus gain...
FAQs
Repeated measurements allow each person’s earlier immune state to provide context for later observations. This makes changes in cell composition, activation, molecular signals, or functional state interpretable as trajectories within that individual rather than isolated values. Such within-person comparisons can expose response patterns that a single cross-sectional measurement may not reveal.
Longitudinal Immune Profiling can show whether immune changes appear briefly, resolve, or remain across subsequent measurements. In infection studies, these trajectories can be related to pathogen control or disease progression. The important information comes from timing and persistence, because the same immune feature may have different significance depending on when it appears and how it changes.
Flow cytometry can track immune-cell composition and activation, while cytokine measurements capture changing molecular signals. Transcriptomic and antibody analyses add information about gene-expression states and antibody-related responses. Combining these readouts provides a broader view than relying on one assay, helping researchers connect cellular, molecular, and functional changes across the study period.
Defined conditions give researchers a consistent context for interpreting changes observed at different time points. This matters because immune responses can vary in cell composition, activation, molecular signals, and functional state as time passes. Maintaining the intended conditions helps distinguish meaningful response kinetics from differences that could otherwise complicate comparisons between measurements.
A study begins by collecting serial samples from the same individual at selected time points under defined conditions. Researchers then apply appropriate assays, such as flow cytometry, cytokine measurement, transcriptomic analysis, or antibody analysis, and compare the resulting measurements over time. This workflow produces time-resolved data for evaluating immune trajectories rather than isolated observations.
The approach is useful when researchers need to evaluate how vaccination or treatment changes immune responses over time. Serial measurements can show the timing, persistence, or resolution of changes in immune cells, molecules, and functional states. These patterns help relate an intervention to immune response dynamics instead of judging its effects from a single measurement.
Time-resolved immune data can reveal recurring response patterns among individuals and connect those patterns with disease progression or pathogen control. Researchers can use these differences to support patient stratification, meaning the organization of individuals according to relevant response profiles. The same data may identify biomarkers or mechanisms that cross-sectional studies miss because they do not capture change over time.