Cd3 Cd4 Cd8
Cd3 Cd4 Cd8 - Related Videos
10:57
Cell Cycle Analysis: Assessing CD4 and CD8 T Cell Proliferation After Stimulation Using CFSE Staining and Flow Cytometry
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2023
Source: Perchet Thibaut1,2,3, Meunier Sylvain1,2,3, Sophie Novault4, Rachel Golub1,2,3 1 Unit for Lymphpoiesis, Department of Immunology, Pasteur Institute, Paris, France 2 INSERM U1223, Paris, France 3 Université Paris Diderot, Sorbonne Paris Cité, Cellule Pasteur, Paris, France 4 Flow Cytometry Platfrom, Cytometry and Biomarkers UtechS, Center for Translational Science, Pasteur Institute, Paris, France The cell cycle is a universal process of life. During the cell cycle, a cell undergoes...
06:08
Generating Single Positive CD8 T Cells from Induced Pluripotent Stem Cells
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2025
This video demonstrates an assay to generate tumor antigen-specific induced pluripotent stem cell (iPSC)-derived CD8αβ+ T Cells. Tumor antigen-specific iPSCs are grown on a stromal cell monolayer and differentiated into hematopoietic progenitor cells (HPCs). The HPCs are differentiated into CD4+ CD8+ double-positive T cells using a differentiation medium. These cells are then stimulated to generate single-positive T cells expressing CD8.
06:20
An Assay for Cell Cycle Analysis of Antigen-Specific CD8+ T Cells
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2025
This video demonstrates an assay to analyze antigen-specific CD8+ T cells in different cell cycle stages. Fluorescently-labeled viable cells are selected using flow cytometry, and the cells in the different cell cycle stages are identified by their DNA content using antibodies against cell proliferation-associated nuclear protein and a nucleic acid stain.
10:00
Preparation of CD4+ T Cells for Analysis of GD3 and GD2 Ganglioside Membrane Expression by Microscopy
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Cited by 2 •
2016
We describe a standard antibody staining protocol for use in microscopy to determine the membrane expression and localization of gangliosides in resting and activated human naïve CD4+ T cells. Also described are real-time PCR experiments using <40,000 cells that do not require additional low input RNA kits.
08:20
In Vitro Differentiation of Human CD4+FOXP3+ Induced Regulatory T Cells (iTregs) from Naïve CD4+ T Cells Using a TGF-β-containing Protocol
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Cited by 24 •
2016
This protocol describes the reproducible generation and phenotyping of human induced regulatory T cells (iTregs) from naïve CD4+ T cells in vitro. Different protocols for FOXP3 induction allow for the study of specific iTreg phenotypes obtained with respective protocols.
FAQs
CD3 transmits activation signals after antigen recognition as part of the T-cell receptor complex. This signaling role makes CD3 useful for identifying cells participating in the T-cell population and for interpreting whether an analyzed population carries the receptor-associated machinery linked to T-cell activation. In immunology studies, it therefore complements the lineage distinctions provided by CD4 and CD8.
CD4 and CD8 distinguish T-cell subsets through their associations with different major histocompatibility complex molecules. CD4 binds MHC class II, whereas CD8 binds MHC class I. Consequently, measuring these markers helps separate helper T-cell and cytotoxic T-cell populations, allowing researchers to examine how T-cell subsets are represented in an immune sample.
Combining the three markers links broad T-cell identification with subset classification. CD3 supports recognition of the T-cell population, while CD4 and CD8 divide that population into helper and cytotoxic categories. The resulting expression pattern provides more informative immune profiling than a single marker, particularly when studies compare T-cell composition across infection, immunodeficiency, or inflammatory disease.
In flow cytometry, CD3, CD4, and CD8 serve as marker inputs for distinguishing T-cell populations within an immune-cell sample. The resulting expression patterns can identify broader T cells and classify helper or cytotoxic subsets. This makes the approach suitable for comparing immune-cell profiles across samples, including studies of infection, immune development, and treatment-related responses.
Immunohistochemistry provides a related way to examine these surface markers in research samples, complementing flow-cytometric analysis. Its inclusion among marker-based assay approaches supports characterization of T-cell populations in studies of infection, inflammatory disease, and immune responses. This type of assessment is relevant when researchers need to examine immune-cell patterns within a particular sample.
Expression patterns can help evaluate immune development, monitor infections and immunodeficiency, and characterize responses to vaccines, therapies, and inflammatory disease. Interpretation focuses on how broad T-cell populations and helper or cytotoxic subsets are represented in the sample. These measurements connect cellular classification with changes in immune status or response across experimental research contexts.