Immune Cell Mapping
Immune Cell Mapping - Related Videos
11:00
Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment
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Cited by 14 •
2020
Here, we describe a simple and accessible strategy for visualizing, quantifying, and mapping immune cells in formalin-fixed paraffin-embedded tumor tissue sections. This methodology combines existing imaging and digital analysis techniques with the purpose of expanding the multiplexing capability and multiparameter analysis of imaging assays.
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.
07:53
Single Cell Fate Mapping in Zebrafish
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Cited by 6 •
2011
A method is described to photoactivate single cells containing a caged fluorescent protein using two-photon absorption from a Ti:Sapphire femtosecond laser oscillator. To fate map the photoactivated cell, immunohistochemistry is used. This technique can be applied to any cell type.
06:53
DNA Tension Probes to Map the Transient Piconewton Receptor Forces by Immune Cells
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Cited by 9 •
2021
This paper describes a detailed protocol for using DNA-based tension probes to image the receptor forces applied by immune cells. This approach can map receptor forces >4.7pN in real-time and can integrate forces over time.
FAQs
Cellular markers provide the features used to classify immune populations and separate cell identity from cell state. This distinction helps researchers determine not only which immune cells are present, but also whether their profiles are associated with protective or dysfunctional responses. Comparing marker patterns across samples can therefore reveal meaningful changes during infection, inflammation, or recovery.
Location adds context that a cell list alone cannot provide. Mapping immune cells within tissues, blood, or infected sites shows where particular populations occur and helps reveal how they are organized in relation to one another. This spatial information can clarify immune cell interactions and connect cellular distributions with local host defense or inflammatory processes.
These techniques provide different but complementary views of immune organization. Flow cytometry supports cellular classification through marker-based analysis, while microscopy contributes localization information. Single-cell sequencing helps characterize individual-cell profiles, and spatial profiling preserves information about distribution within a tissue context. Combining these approaches produces a more complete map than relying on one measurement alone.
A typical workflow begins by identifying immune populations, classifying them with cellular markers, and determining their locations in blood, tissue, or an infected site. Researchers then use suitable combinations of flow cytometry, microscopy, single-cell sequencing, or spatial profiling to build comparative profiles. Those profiles can be interpreted across biological conditions to identify changes in cell states and organization.
Immune cell mapping enables comparison of cellular populations and states across different stages of a response. Profiles collected during pathogen exposure can be evaluated against those associated with inflammation and recovery, revealing which immune populations increase, decrease, relocate, or change state. This temporal comparison helps researchers study how immune organization shifts as the host response develops and resolves.
The resulting cellular profiles can clarify host defense mechanisms and identify immune responses that are protective or dysfunctional. In infection research, these findings may help explain how immune populations respond at infected sites and during recovery. The same information can support work on vaccines, diagnostics, and targeted therapies by linking immune-cell patterns with biologically important response states.