Immune Cell Clusters
Immune Cell Clusters - Related Videos
07:26
Isolation of Functional Cardiac Immune Cells
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Cited by 9 •
2011
This method for isolating functional immune cells from the heart provides an alternative to the conventional methods of collagenase digestion, which causes unwanted immune cell activation, resulting in a decreased responsiveness of these cells. Our method of isolation yields functional cardiac immune cells by avoiding problems associated with enzymatic digestion.
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.
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.
05:42
A Barcoding Assay for Phenotypic and Functional Characterization of Immune Cells
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2025
This video highlights a single-cell proteomic method that employs heavy-metal-conjugated antibodies for distinct cell barcoding. Subsequently, immunostaining and mass cytometry are applied to evaluate immune phenotypic and functional alterations in human whole blood-derived immune cells.
07:09
Isolation of Adipose Tissue Immune Cells
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Cited by 75 •
2013
Adipose tissue (AT) is a site of intense immune cell activation and interaction. Almost all cells of the immune system are present in AT and their ratios are altered by obesity. Proper isolation, quantification, and characterization of AT immune cell populations are critical for understanding their role in immunometabolic disease.
FAQs
Chemokines guide immune cells toward shared microenvironments, while matching receptor interactions help determine which cells can respond to those signals. Adhesion then stabilizes encounters after migration, allowing cells to remain near one another rather than dispersing. Together, these processes influence cluster composition and create opportunities for coordinated recognition, activation, and communication during a local immune response.
Direct contact provides a communication route that differs from soluble signaling alone. Cells positioned within a cluster can engage neighboring cells while cytokines released into the same local environment regulate activation, proliferation, antigen presentation, and effector functions. This spatial arrangement therefore links physical proximity with coordinated immune behavior, helping explain how nearby cells influence one another during infection or inflammation.
The outcome depends on which cells migrate into the site, how strongly adhesion retains them, and which receptor and cytokine signals are present. These variables can change the cluster’s composition and functional state, including whether local interactions favor activation, antigen presentation, proliferation, or effector activity. Measuring organization alongside cell identity is therefore important for interpreting immune behavior.
Researchers can use imaging, flow cytometry, and single-cell or spatial transcriptomic methods to characterize immune cell clusters. These approaches can assess which immune cells are present and how they are organized within a tissue or other local context. The resulting measurements help connect cellular composition and spatial structure with immune activity in infection research.
In infection studies, cluster analysis can connect cellular organization with pathogen recognition, containment, and inflammation. Examining where immune cells collect and how their interactions correspond to local activation or effector functions may help researchers follow infection progression and identify patterns of immune coordination or dysfunction. This makes clusters a useful readout of tissue-level responses during infection research.
The same measurements can inform studies of vaccine responses and therapies that modify cellular interactions. Researchers can examine whether changes in cluster composition or organization accompany altered immune activity, then relate those patterns to the response being studied. In this context, cluster analysis provides a way to investigate how coordinated cellular behavior contributes to protection, dysfunction, or treatment effects.