Nkt Cell Analysis
Nkt Cell Analysis - Related Videos
18:08
Interview: Glycolipid Antigen Presentation by CD1d and the Therapeutic Potential of NKT cell Activation
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Cited by 2 •
2007
Natural Killer T cells (NKT) are critical determinants of the immune response to cancer, regulation of autioimmunity, clearance of infection, and the development of artheriosclerotic plaques. In this interview, Mitch Kronenberg discusses his laboratory's efforts to understand the mechanism through which NKT cells are activated by glycolipid antigens.
13:18
Artificial Antigen Presenting Cell (aAPC) Mediated Activation and Expansion of Natural Killer T Cells
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Cited by 20 •
2012
Here we describe a method for activating and expanding human NKT cells from bulk T cell populations using artificial antigen presenting cells (aAPC). The use of CD1d-based aAPC provides a standardized method for generating high numbers of functional NKT cells.
09:32
Cell Cycle Analysis
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2023
Cell cycle refers to the set of events through which a cell grows, replicates its genome, and ultimately divides into two daughter cells through the process of mitosis. Because the amount of DNA in a cell shows characteristic changes throughout the cycle, techniques known as cell cycle analysis can be used to separate a population of cells according to the different phases of cell cycle they are in, based on their varying DNA content.This video will cover the principles behind cell cycle...
12:19
Analysis of Cell Cycle Position in Mammalian Cells
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Cited by 71 •
2012
Determining the cell cycle position of a population of cells, or understanding how signals affect proliferation, can be readily measured by flow cytometry using this protocol. We report a simple experimental approach to staining cells and quantifying their position in the cell cycle.
07:27
Transcriptome Analysis of Single Cells
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Cited by 72 •
2011
In this article we describe a simple method for the harvesting of single cells from rat primary neuronal cultures and subsequent transcriptome analysis using aRNA amplification. This approach is generalizable to any cell type.
FAQs
CD3 and CD56 provide complementary phenotypic information for characterizing the NKT cell population. Measuring these markers with flow cytometry helps estimate how frequently the cells occur in a biological sample and describes their observed marker profile. Researchers can then relate that phenotype to functional measurements, such as cytokine release or cytotoxic activity, rather than relying on marker frequency alone.
CD1d-dependent recognition tests whether the analyzed cells respond to lipid antigens through the relevant antigen-recognition pathway. This adds specificity that marker measurements alone cannot provide. Antigen-specific stimulation can therefore help determine whether a population with an appropriate phenotype also mounts a biologically relevant response, supporting more precise interpretation of NKT cell activity in experimental samples.
Cytokine-release measurements show how rapidly NKT cells produce immune signaling molecules after stimulation, whereas cytotoxicity assays assess their ability to exert cell-killing activity. Together, these readouts distinguish cellular presence from functional responsiveness. A sample may contain a measurable population, but its response profile provides additional information about immune regulation, inflammation, or tumor-surveillance activity.
A practical workflow begins by characterizing the sample with flow cytometry using markers such as CD3 and CD56. Researchers may then apply antigen-specific stimulation to examine CD1d-dependent responses and measure cytokine release or cytotoxicity with functional assays. Combining these stages produces complementary information on population frequency, phenotype, antigen responsiveness, and activity.
Frequency indicates how much of the analyzed sample consists of the target population, while phenotype describes its measured marker pattern. Functional responses show whether those cells react after stimulation or display cytotoxic activity. Considering all three dimensions prevents conclusions based only on abundance and helps identify differences between samples that contain similar numbers but respond differently.
The approach supports investigations of immune regulation, infection, cancer, and autoimmune disease. Researchers can compare NKT cell frequency, phenotypic characteristics, antigen-specific responses, cytokine release, or cytotoxic activity across biological samples. These measurements help examine how the cells may contribute to inflammation, tumor surveillance, or altered immune responses associated with disease.
NKT cell analysis can provide several response measures relevant to immunotherapy research, including population frequency, marker phenotype, CD1d-dependent recognition, cytokine release, and cytotoxic activity. Researchers can use this combination to assess whether an experimental condition is associated with altered NKT cell behavior. The resulting profile offers biological context for evaluating immune activation and tumor-surveillance mechanisms.