C-C chemokine receptor type 8 (CCR8) is a G-protein-coupled receptor encoded by the CCR8 gene, also designated as CD198. It binds chemokine CCL1 (I-309) and plays critical roles in immune regulation . Antibodies targeting CCR8 aim to modulate its activity in pathological conditions like cancer and autoimmune diseases.
In dissociated human tumors, RO7502175 demonstrated:
85-90% depletion of CCR8+ regulatory T cells (Tregs) at 10 μg/mL
Minimal cytokine release (IL-6 <50 pg/mL, TNFα <20 pg/mL) in PBMC assays
| Parameter | Value |
|---|---|
| Half-life (t₁/₂) | 9.2 days |
| Cmax (100 mg/kg dose) | 1,200 μg/mL |
| Treg Reduction | 70% sustained over 14 days |
| NOAEL | 100 mg/kg |
Source: Preclinical study data
CCR8 antibodies show promise in:
Oncology: Selective depletion of tumor-infiltrating Tregs while sparing peripheral Tregs
Autoimmune Diseases: Modulating Th2-mediated inflammation in asthma and atopic dermatitis
HIV Research: Investigating CCR8 as alternative HIV-1 coreceptor
The 433H monoclonal antibody (BD Biosciences) serves as a critical research tool with:
PAQR8 (Progestin and adipoQ receptor family member 8), also known as membrane progestin receptor beta (mPR beta), is a receptor protein that may be involved in oocyte maturation. Research indicates that PAQR8 binds several steroid hormones including dehydroepiandrosterone (DHEA), pregnanolone, pregnenolone, and allopregnanolone . As a membrane receptor with potential roles in hormone signaling, PAQR8 represents an important target for antibody development to study its cellular localization, protein interactions, and functional roles in reproductive biology and other physiological processes.
Current research applications primarily utilize polyclonal antibodies targeting specific regions of PAQR8. For example, commercially available antibodies include affinity-purified rabbit polyclonal antibodies that target the C-terminal region (amino acids 326-354) of human PAQR8 . These antibodies typically demonstrate reactivity against both human and mouse PAQR8, making them suitable for cross-species studies. While most available antibodies are polyclonal, the development of monoclonal antibodies against PAQR8 would follow similar methodological approaches as those used for other membrane receptors, such as the epitope mapping strategies employed for CCR8 antibodies .
Based on current validation data, PAQR8 antibodies are primarily validated for Western blot (WB) applications with a recommended dilution of 1:1000 . While the primary application is Western blotting, researchers should consider validating these antibodies for additional applications such as immunohistochemistry, immunofluorescence, or immunoprecipitation depending on their specific research needs. Validation across multiple applications would follow similar methodological approaches as those used for other antibodies in the field.
A comprehensive validation approach should include:
Positive and negative controls: Using tissues or cell lines known to express or not express PAQR8
Knockout/knockdown validation: Testing antibody specificity using PAQR8 knockout or knockdown samples
Cross-reactivity testing: Evaluating potential cross-reactivity with related PAQR family members
Application-specific validation: Confirming antibody performance in each intended application
Lot-to-lot consistency testing: Comparing performance between different antibody lots
This validation approach aligns with general best practices in antibody research that emphasize rigorous specificity testing before experimental application .
| Control Type | Purpose | Implementation |
|---|---|---|
| Positive Control | Confirm antibody detection capability | Use samples with known PAQR8 expression (e.g., tissues documented to express PAQR8) |
| Negative Control | Assess non-specific binding | Use PAQR8-negative samples or knockout models |
| Isotype Control | Evaluate background binding | Use non-specific IgG from same species as primary antibody |
| Loading Control | Normalize protein levels | Include antibodies against housekeeping proteins |
| Secondary-only Control | Detect non-specific secondary binding | Omit primary antibody but include secondary antibody |
These controls are essential for meaningful interpretation of experimental results and follow standard methodological approaches in antibody-based research .
PAQR8 antibodies are typically supplied in PBS with 0.09% (W/V) sodium azide . For optimal longevity and performance:
Store antibody aliquots at -20°C for long-term storage
Avoid repeated freeze-thaw cycles by preparing smaller working aliquots
For short-term storage (1-2 weeks), antibodies can be kept at 4°C
Include carrier proteins (e.g., BSA) for diluted antibody solutions
Monitor antibody performance over time with consistent positive controls
These storage recommendations align with general antibody preservation protocols to maintain binding efficacy and specificity.
Epitope mapping is crucial for understanding antibody specificity and can be performed through several approaches:
Alanine scanning mutagenesis: Systematically substitute amino acids in the target region with alanine to identify critical binding residues, similar to the approach used for C8Mab-2 antibody against CCR8 where researchers identified the 17-DFFTAP-22 sequence as important for recognition
Peptide array analysis: Test antibody binding against overlapping peptides spanning the target region (e.g., the C-terminal region 326-354 of PAQR8)
Truncation analysis: Create truncated versions of the protein to narrow down the epitope region
Computational prediction followed by experimental validation: Use bioinformatics tools to predict potential epitopes before experimental confirmation
X-ray crystallography or cryo-EM: For detailed structural analysis of antibody-antigen complexes in advanced research settings
The choice of method depends on research goals, available resources, and required resolution of epitope information .
Recent advances in antibody engineering provide several strategies to enhance specificity:
Rational design approaches: Using complementary peptides designed specifically against target epitopes
Biophysics-informed modeling: Combining computational design with experimental validation to optimize binding properties
Selection against multiple similar targets: Including related proteins during negative selection to eliminate cross-reactive antibodies
Identification of distinct binding modes: Using computational models to identify antibodies with unique binding signatures to specific epitopes
Affinity maturation: Further optimization of binding properties through directed evolution approaches
These approaches can be applied to develop more specific PAQR8 antibodies, particularly for distinguishing between closely related PAQR family members.
A systematic cross-reactivity assessment should include:
Sequence alignment analysis: Identifying regions of homology between PAQR family members, particularly in the C-terminal epitope region (326-354 aa for the described antibody)
Recombinant protein panel testing: Evaluating antibody binding against recombinant proteins of all PAQR family members
Cell line panel analysis: Testing antibody specificity in cell lines with differential expression of PAQR family members
Competitive binding assays: Using purified PAQR proteins to compete for antibody binding
Knockout/knockdown validation: Confirming signal reduction in PAQR8-depleted samples while testing for unchanged signals in samples depleted of other PAQR family members
This comprehensive approach ensures the antibody is truly specific to PAQR8 rather than detecting related family members.
For optimal Western blotting results with PAQR8 antibodies:
Sample preparation:
For membrane proteins like PAQR8, use appropriate detergent-based lysis buffers
Consider membrane fraction enrichment techniques
Avoid excessive heating which may cause membrane protein aggregation
Gel selection and transfer:
Use gradient gels (4-12%) for better resolution
Consider specialized transfer conditions for membrane proteins (longer transfer times, lower voltage)
Blocking and antibody incubation:
Detection and analysis:
These recommendations integrate general best practices for membrane protein Western blotting with specific information about the PAQR8 antibody.
A systematic titration approach includes:
Initial broad-range titration: Test several dilutions (e.g., 1:500, 1:1000, 1:2000, 1:5000) using positive control samples
Signal-to-noise optimization: Calculate signal-to-background ratios for each concentration
Fine-tuning: Perform narrower dilution ranges around the best-performing concentration
Application-specific considerations:
Sample-specific adjustment: Further optimize based on PAQR8 expression levels in experimental samples
This methodology ensures the most efficient use of antibody while maximizing specific signal detection.
Researchers should implement multiple validation strategies:
Peptide competition assays: Pre-incubating the antibody with the immunizing peptide (amino acids 326-354 of PAQR8) should abolish specific signals
PAQR8 knockdown/knockout validation: Compare signals between wild-type and PAQR8-depleted samples
Multiple antibody validation: Use antibodies targeting different epitopes of PAQR8 to confirm signals
Cross-species validation: Test antibody in species where it is expected to work based on epitope conservation
Signal correlation with known biology: Confirm that signals appear in tissues/conditions where PAQR8 is expected to be expressed
These approaches collectively provide strong evidence for binding specificity and follow established methodological principles in antibody research.
| Issue | Potential Causes | Solutions |
|---|---|---|
| Weak or no signal | Insufficient protein extraction | Use stronger detergents suitable for membrane proteins |
| Target protein denaturation | Optimize sample preparation conditions | |
| Low antibody sensitivity | Try signal amplification methods | |
| High background | Non-specific binding | Optimize blocking conditions and washing steps |
| Secondary antibody cross-reactivity | Use different secondary antibody or isotype control | |
| Multiple bands | Protein degradation | Use protease inhibitors during sample preparation |
| Post-translational modifications | Confirm with mass spectrometry or deglycosylation experiments | |
| Splice variants | Validate with RT-PCR for different isoforms | |
| Inconsistent results | Lot-to-lot antibody variation | Use consistent antibody lots or revalidate new lots |
| Variable sample quality | Standardize sample preparation protocols |
These troubleshooting approaches address challenges specific to membrane proteins while following methodological principles applicable to antibody-based experiments in general.
For developing specialized PAQR8 antibodies:
Epitope selection:
Choose unique regions with low homology to other PAQR family members
Consider accessibility in the native protein conformation
For membrane proteins like PAQR8, extracellular loops often make good targets
Immunization strategy:
Screening methodology:
Rational design approaches:
Production and purification:
For polyclonal antibodies, use affinity purification with the target peptide
For monoclonal antibodies, consider hybridoma technology or phage display
This comprehensive approach integrates methodological insights from various antibody development strategies in the current literature .
When studying PAQR8 interactions, researchers should consider:
Preservation of native interactions:
Use mild lysis conditions to maintain protein-protein interactions
Consider crosslinking approaches for transient interactions
Validate interactions under different detergent conditions
Co-immunoprecipitation optimization:
Test different antibody immobilization strategies
Optimize antibody-to-lysate ratios
Consider using tagged PAQR8 constructs as complementary approaches
Confirmation with multiple methods:
Validate interactions using reverse co-IP
Implement proximity ligation assays
Consider FRET/BRET approaches for live-cell interaction studies
Controls for specificity:
Include isotype controls
Use PAQR8 knockout/knockdown samples
Compare with structurally related but functionally distinct PAQR family members
Functional validation:
Confirm biological relevance of identified interactions
Investigate the impact of hormone binding on protein interactions
Map interaction domains through mutational analysis
These methodological considerations ensure robust investigation of PAQR8 interactions following established principles in protein interaction studies.