CD8 exists as either a homodimer (CD8αα) or heterodimer (CD8αβ) on CTLs. Both isoforms bind MHC class I molecules via their α3 domain, stabilizing T cell receptor (TCR)-antigen interactions . Key structural features include:
Ectodomain: Immunoglobulin-like variable (IgV) domain for MHC-I binding .
Hinge region: Proline-rich stalk enabling flexibility during immune synapse formation .
Transmembrane domain: Anchors CD8 to the cell membrane.
Cytoplasmic tail: Recruits Lck kinase to amplify TCR signaling .
CD8αβ heterodimers are primarily expressed on conventional CTLs, while CD8αα homodimers occur on innate-like T cells and NK cells .
Anti-CD8 antibodies are classified based on target epitopes (α or β chains) and functional effects:
These antibodies enable:
Immune cell isolation: Flow cytometry-based sorting of CD8+ T cells .
Functional modulation: OKT8 triggers effector functions (e.g., cytokine release) independent of TCR engagement .
Metabolic profiling: Anti-CD8α (53–6.7) enhances glycolysis and mitochondrial respiration in activated T cells .
Chimeric antigen receptors (CARs): CD8α domains are engineered into CAR-T constructs to enhance cytotoxicity .
Immune checkpoint inhibition: CD8 PET tracers (e.g., 89ZED88082A) monitor CD8+ T cell dynamics during anti-PD-1/PD-L1 therapy .
Autoimmunity: Anti-CD8α (OX8) reduced glomerular injury in experimental autoimmune glomerulonephritis by suppressing CD8+ T cell infiltration .
Cancer:
Tracer: 89ZED88082A (10 mg dose) visualizes CD8+ T cells in tumors and lymphoid tissues with a 2-day post-injection window .
Utility: Detects pseudoprogression (immune infiltration vs. tumor growth) and predicts ICI response .
Subset-specific effects: Anti-CD8α depletes effector T cells, while anti-CD8β spares tissue-resident memory subsets .
Survival impact: Depletion-surviving CD8+ T cells exhibit altered homing (e.g., splenic marginal zone localization) .
CD8 functions as an integral membrane glycoprotein that plays essential roles in immune responses. In T cells, it primarily serves as a coreceptor for MHC class I molecule:peptide complexes. CD8 interacts simultaneously with the T-cell receptor (TCR) and MHC class I proteins presented by antigen-presenting cells (APCs), recruiting the Src kinase LCK to the vicinity of the TCR-CD3 complex. This initiates different intracellular signaling pathways that lead to lymphokine production, motility, adhesion, and activation of cytotoxic T-lymphocytes (CTLs) . This mechanism enables CTLs to recognize and eliminate infected cells and tumor cells.
In natural killer (NK) cells, CD8A homodimers at the cell surface provide a survival mechanism allowing conjugation and lysis of multiple target cells. CD8A homodimer molecules also promote the survival and differentiation of activated lymphocytes into memory CD8+ T cells .
Several antibody clones have been characterized for research applications:
Anti-human CD8α antibodies:
OKT8 (unconjugated or allophycocyanin-conjugated)
SK1 (unconjugated, FITC-conjugated or PE-conjugated)
MCD8 (unconjugated)
32/M4 (unconjugated)
C8/144B (unconjugated)
DK25 (allophycocyanin-conjugated)
Anti-human CD8β antibody:
2ST8.5H7 (unconjugated or PE-conjugated)
Anti-mouse CD8 antibodies:
The selection of the appropriate antibody depends on the specific research application and experimental design.
CD8 antibodies are extensively used in immunohistochemistry (IHC) to identify and quantify CD8+ T cells in tissue sections. The methodology typically involves:
Tissue preparation: Fixation in formalin and embedding in paraffin
Sectioning: Cutting thin (4-5μm) tissue sections
Antigen retrieval: Often using Tris/EDTA pH 9.0 buffer
Primary antibody incubation: Using anti-CD8 antibodies at optimized dilutions (e.g., 1/50 to 1/100)
Detection system: Employing secondary antibodies and chromogenic or fluorescent detection
Counterstaining and mounting
For example, paraffin-embedded human tonsil tissue can be effectively stained for CD8+ T cells using antibody clone C8/144B at 1/100 dilution . This approach allows researchers to analyze the distribution and density of CD8+ T cells in various tissues, including tumor microenvironments, which has significant implications for understanding immune responses in cancer and infectious diseases.
Research has revealed significant heterogeneity in the functional consequences of CD8 binding by different antibody clones. In a comprehensive study examining seven monoclonal anti-human CD8 antibodies on six human CD8+ T cell clones with five different specificities, six of the seven antibodies tested did not activate CD8+ T cells. In contrast, one antibody (OKT8) induced effector function in all CD8+ T cells examined .
Similarly, the anti-mouse CD8 antibodies CT-CD8a and CT-CD8b activated CD8+ T cells despite having opposing effects on pMHCI tetramer staining . This observed heterogeneity provides an explanation for the apparent incongruities observed in previous studies and should be considered when interpreting results generated with these reagents.
The ability of antibody-mediated CD8 engagement to deliver an activation signal underscores the importance of CD8 in CD8+ T cell signaling. Early studies showed that preincubation with anti-CD8 antibodies can block conjugate formation between effector and target cells and inhibit CD8+ T-cell activation in response to cognate pMHCI presented on the target cell surface, providing key evidence for CD8's importance in T-cell activation .
Some anti-CD8 antibodies, particularly OKT8, have been found to enhance TCR/pMHCI on-rates and, consequently, improve pMHCI tetramer staining and visualization of antigen-specific CD8+ T cells . This property makes these antibodies valuable tools for detecting low-frequency or low-avidity antigen-specific T cells.
The methodology for enhancing tetramer staining involves:
Preincubating T cells with anti-CD8 antibody (e.g., OKT8) for approximately 25 minutes on ice
Staining with cognate PE-conjugated tetramer (25 μg/ml) at 37°C for 15 minutes
Performing subsequent staining with viability dyes and additional markers
Recent research has revealed that direct sensing of interferon-γ (IFN-γ) by CD8+ T cells coordinates avidity and differentiation during infection. IFN-γ promotes the expansion of low-avidity T cells, allowing them to overcome the selective advantage of high-avidity T cells, while reinforcing high-avidity T cell entry into the memory pool .
This dual effect reduces the average avidity of the primary response and increases that of the memory response. IFN-γ in this context is mainly provided by virtual memory T cells, an antigen-inexperienced subset with memory features .
Several studies have demonstrated the contradictory role of IFN-γ on CD8+ T cell proliferation, differentiation, and effector functions . This complexity highlights the importance of understanding cytokine networks in shaping CD8+ T cell responses and has implications for vaccine design and immunotherapeutic approaches.
Based on published methodologies, several experimental approaches are commonly employed:
T cell activation assays:
Mix 5×10^4 T cells with anti-CD8 antibodies at appropriate concentrations
Include conditions with and without secondary crosslinking (using 5 μl anti-mouse IgG antibody)
Incubate overnight at 37°C in a 5% CO₂ atmosphere
Include appropriate positive controls:
Antibody fragment analysis:
To determine which antibody components mediate observed effects, researchers can generate and test:
Fab fragments (monovalent antigen-binding fragment)
F(ab')₂ fragments (bivalent antigen-binding fragments without Fc region)
These approaches allow detailed investigation of the mechanisms by which anti-CD8 antibodies influence T cell function and can help resolve apparent contradictions in the literature.
When encountering variable or contradictory results with different anti-CD8 antibodies, researchers should consider:
Antibody clone specificity: Different antibody clones bind to different epitopes on the CD8 molecule, potentially leading to distinct functional outcomes. For example, while most anti-CD8 antibodies tested did not activate T cells, OKT8 induced effector function in all CD8+ T cells examined .
CD8 dependency of T cells: Considerable heterogeneity exists between different CD8+ T cells in terms of their ability to activate in the presence of anti-CD8 antibodies. This led to the classification of T cells as either CD8-dependent or CD8-independent .
Experimental conditions: Factors such as antibody concentration, presence of crosslinking agents, temperature, and timing can significantly influence results.
T cell population heterogeneity: The composition and activation state of the T cell population being studied can affect responses to anti-CD8 antibodies.
To address these issues, researchers should:
Test multiple antibody clones under standardized conditions
Include appropriate positive and negative controls
Consider the specific research question when selecting antibodies
Clearly report the specific antibody clone, format, and experimental conditions used
The relationship between antigen recognition, TCR engagement, and resulting CD8+ T cell phenotype has been studied using advanced technologies like Antigen-TCR Pairing and Multiomic Analysis of T-cells (APMAT). This integrated experimental-computational framework allows for high-throughput capture and analysis of CD8+ T cells with paired antigen, TCR sequence, and single-cell transcriptome data .
A recent study utilizing APMAT to analyze CD8+ T cells from HLA A*02:01 COVID-19 participants revealed that distinct physicochemical features of antigen-TCR pairs strongly associate with both T cell phenotype and T cell persistence. This suggests that CD8+ T cell phenotype following antigen stimulation is at least partially deterministic, rather than solely the result of stochastic biological processes .
These findings have important implications for understanding how antigen properties and TCR sequences influence the functional diversity and efficacy of CD8+ T cell responses, with potential applications in vaccine design and immunotherapy development.
Research on a B cell-depleted lymphoma patient with chronic SARS-CoV-2 infection has provided insights into the role of CD8+ T cells in viral control and mutation. In this patient with defective antibody responses, researchers observed a potential association between SARS-CoV-2 mutations and CD8+ T cell alterations, suggesting possible contributions of CD8+ T cells in the evasion of SARS-CoV-2 from host immunity .
Analysis of this patient's immune response showed:
T cells were predominantly CD8-positive (60%)
Many CD8+ T cells (31%) co-expressed activation markers CD38 and HLA-DR
CD4+ T cells showed less activation
Increased peripheral CD8+ T cell numbers were observed immediately before certain viral mutations arose (T325K and T4164I)
While it is accepted that neutralizing antibodies protect from infection and provide correlates of protection against severe disease, virus-exposed individuals sometimes develop specific T cells in the absence of a detectable antibody response. The role of CD8+ T cells is further supported by:
Rhesus macaque models where CD8+ T cell depletion abrogated protective immunity against SARS-CoV-2 rechallenge when antibody levels waned
Mouse models where T cell responses elicited by vaccination were protective against severe disease
Human studies showing CD8+ T cell responses to immunodominant nucleoprotein epitopes associated with less severe disease
These findings suggest that potential impacts of CD8+ T cells on SARS-CoV-2 mutations, particularly in those with humoral immunodeficiency, warrant further investigation to inform vaccine design strategies.
Immunohistochemical analysis of tumor-infiltrating lymphocytes (TILs) using CD8 antibodies is a widely employed approach in cancer research. The methodology typically involves:
Tissue preparation: Formalin-fixed, paraffin-embedded tumor tissue sections
Immunohistochemical staining: Using validated anti-CD8 antibodies (e.g., clone C8/144B)
Quantification: Counting CD8+ cells, often in multiple high-power fields
Comparative analysis: Often performed alongside other T cell markers like CD4
Example of quantitative analysis parameters:
Number of CD8+ cells per high-power field or per mm²
Distribution pattern (peritumoral vs. intratumoral)
Proximity to tumor cells or other stromal elements
In one study, statistical analysis of CD8+ TILs showed that the number of CD8+ lymphocytes tended to be higher in one patient group compared to another, though the difference approached but did not reach statistical significance (p = 0.052) . Such analyses provide valuable insights into the tumor immune microenvironment and may have prognostic or predictive value in cancer treatment.
When selecting CD8 antibodies for research applications, consider these critical factors:
Application-specific considerations:
Technique compatibility: Ensure the antibody is validated for your specific application (flow cytometry, IHC, Western blot, functional assays)
Species reactivity: Verify compatibility with the target species (human, mouse, etc.)
Subunit specificity: Determine whether an antibody targeting CD8α or CD8β is more appropriate (CD8 exists as either αα homodimer or αβ heterodimer)
Functional considerations:
Effect on T cell activation: Some antibodies (e.g., OKT8) can trigger T cell effector function while others cannot
Impact on tetramer binding: Antibodies can enhance (e.g., OKT8) or inhibit pMHCI tetramer binding
Epitope accessibility: Consider whether the epitope remains accessible in fixed/processed samples
Technical considerations:
Conjugation: For flow cytometry, select appropriate fluorophore conjugation
Format: Whole IgG vs. fragments (Fab, F(ab')₂) for specific applications
Concentration optimization: Perform titration experiments to determine optimal working concentration
By carefully evaluating these factors, researchers can select the most appropriate CD8 antibody for their specific experimental needs, leading to more reliable and interpretable results.
Optimizing CD8 antibody staining protocols for different tissue types requires systematic adjustment of several parameters:
Antigen retrieval optimization:
Different tissues may require specific antigen retrieval methods:
Heat-induced epitope retrieval using Tris/EDTA pH 9.0 buffer works well for spleen tissue
Citrate buffer (pH 6.0) may be more suitable for other tissues
Enzymatic retrieval may be necessary for heavily fixed samples
Antibody dilution optimization:
Start with manufacturer's recommended dilution
Perform titration series (e.g., 1/25, 1/50, 1/100, 1/200)
Optimal dilution balances strong specific staining with minimal background
For example, ab17147 has been successfully used at 1/100 for tonsil tissue and 1/50 for spleen tissue
Incubation conditions:
Temperature (4°C, room temperature, 37°C)
Duration (1 hour to overnight)
Humidity control to prevent section drying
Detection system selection:
Polymer-based systems often provide superior sensitivity for IHC
Fluorescent detection may be preferred for multiplex staining
Positive and negative controls:
Include known CD8+ tissues (tonsil, spleen, lymph node) as positive controls
Use isotype controls and/or CD8-negative tissues as negative controls
Systematic optimization of these parameters will yield consistent, specific staining across different tissue types.
Common experimental pitfalls and their solutions include:
1. False negative results:
Problem: Inadequate antigen retrieval, particularly in formalin-fixed tissues
Solution: Optimize antigen retrieval method (buffer, pH, duration, temperature)
Problem: Antibody concentration too low
Solution: Perform antibody titration; consider more sensitive detection systems
2. False positive/high background:
Problem: Non-specific binding, particularly in tissues with high endogenous peroxidase
Solution: Thorough blocking steps; quench endogenous peroxidase with H₂O₂
Problem: Antibody concentration too high
Solution: Optimize dilution; include appropriate washing steps
3. Misinterpretation of functional assays:
Problem: Different anti-CD8 antibodies have varying effects on T cell activation
Solution: Include multiple antibody clones; use OKT8 as positive control for activation
Problem: Heterogeneity in CD8-dependence among T cell populations
Solution: Characterize T cell populations for CD8-dependence before functional studies
4. Inadequate controls:
Problem: Lack of appropriate positive and negative controls
Solution: Include isotype controls, FMO controls (flow cytometry), and biological controls
5. Batch effects:
Problem: Variability between experimental batches affecting reproducibility
Solution: Process all comparative samples simultaneously; include internal reference standards
By anticipating these common issues and implementing appropriate controls and optimization steps, researchers can avoid pitfalls and generate more reliable data when working with CD8 antibodies.
The Rat Anti-Mouse CD8 antibody is a monoclonal antibody that specifically binds to the CD8α chain on mouse cells. This antibody is commonly used in immunological research to study T cell populations and their functions.
The use of Rat Anti-Mouse CD8 antibodies has significantly advanced our understanding of the immune system, particularly in the context of T cell biology. These antibodies have been instrumental in: