CD8 exists as either a heterodimer (CD8α/β) or homodimer (CD8α/α) transmembrane protein. Biotinylated CD8 antibodies target specific epitopes:
Biotin conjugation is achieved via enzymatic methods (e.g., Avi-Tag™ technology) or chemical linkage, ensuring ≥90% labeling efficiency .
CD8 antibodies modulate T cell activity through distinct pathways:
Example: Anti-CD8α antibody CT-CD8a reduces peptide-MHC class I (pMHCI) tetramer binding by 60–80% in murine models .
Stabilize TCR/pMHCI interactions, boosting CTL activation.
Anti-CD8β antibody CT-CD8b increases pMHCI multimer staining by 2–3 fold and enhances cytotoxicity .
Guides cancer immunotherapy (e.g., crefmirlimab, a CD8-targeting diagnostic) .
Depleting CD8+ T cells in autoimmune models reduces IgG autoantibodies by 70% .
CD8 is a protein that functions in adaptive immune responses and receptor-mediated signaling pathways. Human CD8 has a canonical amino acid length of 235 residues and a protein mass of 25.7 kilodaltons, with 3 identified isoforms. It is primarily localized in the cell membrane and highly expressed in the spleen, skin, lymph nodes, bone marrow, and appendix. The CD8 marker is essential for characterizing various T cell populations, including Mature CD8 T Cells, CD8 αα+ αβ Intraepithelial T Cells, and CD8 αβ+ αβ Intraepithelial T Cells .
CD8 antibodies are primarily used for flow cytometry (FCM), immunofluorescence (IF), western blotting (WB), and immunoprecipitation (IP). According to researcher reviews, flow cytometry is the most frequent application, allowing for identification and characterization of CD8+ T cells in peripheral blood and tissues. These antibodies can be found with various conjugates including FITC, PE, APC, BV605, and APC-Vio770 to facilitate multi-parameter analysis in complex experimental designs .
Biotinylated CD8 antibodies feature biotin molecules covalently attached to the antibody structure, enabling high-affinity interactions with streptavidin-based detection systems. Unlike directly conjugated fluorescent antibodies, biotinylated antibodies offer signal amplification through multiple biotin-streptavidin binding events. They are particularly valuable in complex detection systems and in technologies like universal CAR (UniCAR) T cell systems that use streptavidin-based receptors (mSA2) to bind biotinylated targeting antibodies .
For effective CD8+ T cell depletion in mouse models, the following protocol has been validated:
Use rat anti-mouse CD8a monoclonal antibody (clone 2.43, IgG2b)
Administer 0.5 mg per intraperitoneal (i.p.) injection, diluted in 0.5 ml PBS
Schedule injections at 3 days, 2 days, and 1 day before the experiment, plus 7 days after virus infection
Include control mice receiving isotype control antibody (MPC-11, IgG2b) with identical dosing
Verify depletion efficiency using FACS analysis of blood lymphocytes (>98% depletion is achievable)
This approach has been successfully used in Japanese encephalitis mouse models to study the contribution of CD8+ T cells to disease outcomes .
Validation should include:
Specificity testing using positive and negative control samples
Titration experiments to determine optimal concentration
Comparison with non-biotinylated versions of the same clone
Testing in the exact buffer/media conditions to be used in the experiment
Verification that culture media doesn't interfere with biotin binding
Flow cytometric analysis to confirm target cell population labeling
Functional assays to ensure antibody binding doesn't alter cellular function
Culture medium selection is particularly important, as research has shown that RPMI 1640 supplemented with 10% FBS provides optimal biotin binding, while Xvivo15 medium significantly compromises binding capacity .
Research has identified critical media factors affecting biotinylated antibody performance:
Culture Medium | Serum Supplement | Biotin Binding Capacity | Notes |
---|---|---|---|
RPMI 1640 | 10% FBS | High | Optimal for biotin-streptavidin interactions |
RPMI 1640 | Human ABS | High | Human serum does not interfere with binding |
Xvivo15 | 10% FBS | Low | Medium components interfere with binding |
Xvivo15 | Human ABS | Low | Serum source does not rescue binding capacity |
Notably, cells previously cultured in Xvivo15 can recover their biotin-binding capacity within 24 hours after transfer to RPMI 1640, suggesting that the binding inhibition is reversible .
Biotinylated CD8 antibodies can be employed in universal CAR (UniCAR) T cell systems, which utilize streptavidin-based receptors (mSA2) to bind biotinylated targeting antibodies. This approach offers several advantages:
Flexible targeting by simply changing biotinylated antibodies rather than genetically modifying T cells for each target
Potential for combined targeting using multiple biotinylated antibodies simultaneously
Control over CAR-T activity by modulating biotinylated antibody dosage
Reduction of "on-target, off-tumor" effects through refined targeting
Research comparing different UniCAR constructs revealed significant specificity variations:
UniCAR Construct | Non-specific Activation | Target-specific Cytotoxicity | Notes |
---|---|---|---|
UniCARCD28 | High | Yes | Shows concerning non-specific activation |
UniCAR41BB | Low | Yes | Superior specificity profile |
UniCAR-28-BB (3rd gen) | Low | Yes | Combined domains improve specificity |
The costimulatory domain significantly impacts specificity, with 4-1BB-containing constructs showing better specificity than CD28-based ones. Using non-specific biotinylated IgG as controls is essential to detect potential non-specific activation. Culture media composition also affects binding and subsequently recognition specificity .
CD8 antibodies are valuable tools for investigating T cell exhaustion by:
Identifying and isolating CD8+ T cells from various tissues to study exhaustion markers
Using flow cytometry panels combining CD8 with exhaustion markers (PD-1, TIM-3, LAG-3)
Monitoring CD8 expression levels, which may change during exhaustion
Selecting specific CD8+ T cell subsets for functional assays (cytokine production, proliferation)
Tracking therapeutic interventions targeting exhausted CD8+ T cells
Depleting CD8+ T cells to assess their contribution to disease outcomes
Research in viral infection models has used CD8 depletion to evaluate the importance of CD8+ T cells in disease resolution, revealing sometimes surprising findings about their role .
To minimize non-specific binding:
Thoroughly block samples with appropriate blocking agents (BSA, serum, commercial blockers)
Include proper controls (isotype-matched biotinylated antibodies)
Titrate both primary antibody and streptavidin detection reagents
Ensure compatible buffer conditions (avoid components that interfere with biotin-streptavidin binding)
Pre-clear samples if necessary (particularly for complex tissues)
Verify specificity using CD8-negative control samples
Consider using avidin/biotin blocking kits if endogenous biotin is a concern
Selection of appropriate culture media is critical, as research has shown some media formulations significantly interfere with biotin binding .
Research has identified several potential causes of unexpected T cell activation:
Some CAR constructs (particularly CD28-containing) show non-specific activation with biotinylated antibodies regardless of target specificity
Free biotin in culture media or samples might trigger activation in biotin-sensitive systems
Aggregation of biotinylated antibodies can lead to receptor cross-linking and activation
Endogenous Fc receptor binding might occur despite biotinylation
Culture media components may influence binding kinetics and subsequent activation
Target-independent streptavidin-biotin interactions can trigger signaling in certain CAR designs
Third-generation CAR constructs combining different costimulatory domains showed improved specificity profiles compared to second-generation constructs in research settings .
Validation using activation markers should include:
Measuring CD25 expression on T cells following antibody engagement
Correlating CD25 expression with cytolytic activity (significant correlation of r=0.5141; p<0.0001 was observed in research settings)
Monitoring multiple activation markers (CD69, CD137, etc.) for comprehensive assessment
Comparing activation patterns between specific target cells and control cells
Testing activation with both target-specific and non-specific biotinylated antibodies
Analyzing cytokine production profiles to confirm functional activation
Using appropriate statistical methods to evaluate significance (p<0.05 threshold)
This multi-parameter approach provides robust validation of both antibody specificity and functional outcomes .
Robust experimental design requires several controls:
Isotype-matched biotinylated control antibodies
Non-biotinylated versions of the same CD8 antibody clone
Target-negative cell populations
Unstained or secondary-only controls
Blocking controls (pre-incubation with unlabeled antibody)
Positive controls using validated CD8+ samples
Media-only controls to assess culture medium interference
For in vivo depletion studies, isotype control antibodies administered with identical dosing schedules are essential to control for non-specific effects of antibody administration .
A methodical titration approach includes:
Testing serial dilutions (typically 2-fold) of the biotinylated CD8 antibody
Evaluating signal-to-noise ratio at each concentration
Analyzing population separation in flow cytometry
Assessing staining intensity and specificity
Determining the saturation point where increasing concentration yields no improvement
Selecting the optimal concentration that balances signal strength and specificity
Validating the selected concentration across multiple samples
For applications using streptavidin detection systems, both the biotinylated primary antibody and the streptavidin conjugate should be independently titrated .
Clone selection should consider:
Factor | Considerations | Impact |
---|---|---|
Epitope specificity | CD8α vs. CD8β recognition | Affects detection of specific CD8 isoforms |
Species reactivity | Human, mouse, rat, cross-species | Determines usability in specific model systems |
Application validation | FCM, IF, WB, IP compatibility | Ensures performance in intended application |
Clone stability | Lot-to-lot consistency | Affects experimental reproducibility |
Citation record | Published validation | Provides confidence in performance |
Isotype | IgG1, IgG2a, IgG2b, etc. | Affects secondary detection options |
The search results mention multiple validated clones including 2.43 for mouse CD8a and C8/468 + C8/144B for human CD8 alpha, each with specific performance characteristics .
Optimal flow cytometry analysis includes:
Initial gating on viable cells using appropriate viability dye
Lymphocyte identification based on scatter properties
Exclusion of doublets and debris
Setting compensation when using multiple fluorochromes
Defining positive populations using appropriate controls
Consistent gating strategies across experimental samples
Statistical analysis using appropriate software (e.g., GraphPad Prism as mentioned in the research)
Researcher reviews emphasize optimizing voltage settings to achieve clear separation between CD8+ and CD8- populations, which is essential for accurate population identification .
Appropriate statistical methods include:
Verification of normal distribution before selecting parametric vs. non-parametric tests
T-tests or ANOVA for comparing CD8+ cell frequencies between groups
Correlation analysis to assess relationships between CD8+ cell numbers and functional outcomes
Survival analysis methods for experiments examining mortality rates
Multivariate analysis when multiple factors influence outcomes
Setting significance threshold at p<0.05 (standard in immunological research)
Using specialized software like GraphPad Prism (mentioned in the research)
For depletion studies, researchers should verify >95-98% depletion efficiency by flow cytometry before interpreting functional outcomes .
Systematic correlation approaches include:
Using specific depletion methods to isolate CD8+ T cell effects
Measuring multiple functional endpoints (survival, pathology, viral titers)
Analyzing temporal relationships by depleting cells at different disease stages
Performing dose-response studies with partial depletion
Comparing findings across multiple experimental models
Integrating CD8+ T cell data with other immune components (antibodies, CD4+ T cells)
Using multiparameter analysis to identify complex relationships
Interestingly, research in Japanese encephalitis models revealed that CD8+ T cells had limited impact on survival, contrary to expectations - highlighting the importance of empirical testing rather than assumptions about immune cell functions .
CD8, Mouse Anti-Human, Biotin is a monoclonal antibody that specifically targets the CD8 alpha (CD8α) molecule. This antibody is conjugated with biotin, a vitamin that allows for easy detection and purification of the antibody-antigen complex. CD8α is a type I transmembrane glycoprotein and a member of the immunoglobulin superfamily. It is expressed on the surface of various immune cells, including thymocytes, subsets of T cells, and some natural killer (NK) cells .
CD8α can form either a homodimer (CD8αα) or a heterodimer (CD8αβ) with the CD8 beta chain (CD8β). The CD8 molecule plays a crucial role in the immune response by acting as a co-receptor for the T-cell receptor (TCR). It binds to the major histocompatibility complex (MHC) class I molecules on antigen-presenting cells, enhancing the activation and cytotoxic function of T cells .
The biotin-conjugated mouse anti-human CD8 antibody is widely used in various immunological assays, including:
The monoclonal antibody is produced by immunizing mice with human CD8α and then isolating the antibody from the mouse’s spleen or thymus. The antibody is purified using affinity chromatography and conjugated with biotin under optimal conditions. It is typically stored in an aqueous buffered solution containing bovine serum albumin (BSA) and sodium azide as a preservative .
When working with biotinylated antibodies, it is essential to handle them with care to avoid contamination and degradation. Sodium azide, a common preservative in antibody solutions, can form highly toxic hydrazoic acid under acidic conditions. Therefore, it is crucial to dilute azide compounds in running water before disposal to prevent the accumulation of potentially explosive deposits in plumbing .