Description: A fully human monoclonal neutralizing antibody targeting the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein.
Key Features:
Intranasal administration: Demonstrated high efficacy in prophylactic and therapeutic settings against SARS-CoV-2 infection in mice.
Broad coverage: Retained activity against the B.1.1.7 and B.1.351 variants, though with reduced potency against the latter.
Pharmacokinetics: Favorable profile supporting topical delivery as a potential alternative to systemic administration.
| Parameter | Value |
|---|---|
| Neutralizing Potency (IC₅₀) | 27.9 ng/mL (live virus) |
| Variant Activity | B.1.1.7 (full), B.1.351 (partial) |
| Delivery Route | Intranasal |
Description: A mouse monoclonal IgG1 antibody targeting the chaoptin protein (photoreceptor-specific membrane protein) in Drosophila.
Applications:
Immunofluorescence: Detects chaoptin in fly photoreceptor cells.
Western Blot: Identifies the 160 kDa antigen.
Epitope Mapping: Binds residues 1–19 of the chaoptin sequence.
| Parameter | Value |
|---|---|
| Immunogen | Full-length chaoptin |
| Light Chain | Kappa |
| Reactivity | Drosophila, Insect |
Description: A human neutralizing antibody targeting the SARS-CoV-2 RBD with novel epitopes.
Key Findings:
Broad resistance: Retained activity against multiple spike mutants (D614G, V367F, V483A).
No ADE effect: No antibody-dependent enhancement observed in vitro.
Therapeutic potential: Protected mice against infection in both prophylactic and therapeutic models.
| Parameter | Value |
|---|---|
| Neutralizing Potency (IC₅₀) | 14.4 ng/mL (live virus) |
| Variant Coverage | ≥ 18 tested mutations |
| Delivery Route | Systemic (intraperitoneal) |
KEGG: spo:SPCC24B10.10c
STRING: 4896.SPCC24B10.10c.1
SPCC24B10.10c refers to a gene locus in Schizosaccharomyces pombe (fission yeast) that encodes a protein with potential structural and functional homology to proteins involved in cellular signaling pathways. Antibodies against this protein are valuable for studying cellular functions and protein-protein interactions in fundamental research. Similar to other research antibodies, they may be generated through various immunization protocols using either the full-length protein or specific peptide sequences . The relevance of targeting this protein with antibodies stems from its potential involvement in conserved cellular processes that may have implications for understanding fundamental biological mechanisms.
When developing antibodies against SPCC24B10.10c, researchers should consider both linear and conformational epitopes. The most immunogenic regions typically include hydrophilic, surface-exposed segments with high antigenic prediction scores. For optimal epitope selection, computational analysis combined with structural prediction tools should be employed to identify regions that:
Are unique to SPCC24B10.10c (to minimize cross-reactivity)
Have high predicted antigenicity scores
Are accessible in the native protein conformation
Avoid regions with post-translational modifications unless specifically targeting those features
This approach parallels established protocols for antibody development against other nuclear or cytoplasmic proteins, where epitope selection significantly impacts antibody specificity and utility in different experimental contexts .
Comprehensive validation requires multiple complementary approaches:
| Validation Method | Experimental Approach | Expected Outcome |
|---|---|---|
| Western blotting | Compare wild-type vs. knockout/knockdown samples | Single band at expected MW in wild-type, reduced/absent in knockout |
| Immunoprecipitation | Pull-down followed by mass spectrometry | SPCC24B10.10c identified as primary target |
| Immunocytochemistry | Side-by-side staining with two different antibodies | Concordant localization patterns |
| Pre-absorption | Pre-incubate antibody with immunizing peptide | Elimination of specific signal |
| Cross-reactivity testing | Test against closely related proteins | No detection of homologous proteins |
For rigorous validation, researchers should employ at least three independent methods and include appropriate controls, including using tissues or cells with confirmed SPCC24B10.10c expression patterns to establish the antibody's detection limits and specificity profile .
The optimal protocols depend on the subcellular localization and structural characteristics of SPCC24B10.10c. Based on general principles for similar proteins:
For formaldehyde-fixed samples:
4% paraformaldehyde fixation for 15-30 minutes typically preserves antigenicity while maintaining structure
Heat-induced epitope retrieval in citrate buffer (pH 6.0) for 20 minutes often provides good results
For challenging samples, alternative retrieval buffers (Tris-EDTA pH 9.0) may improve detection
For frozen sections:
Brief fixation (10 minutes in cold acetone or methanol) may help preserve epitope accessibility
Detergent permeabilization (0.1-0.3% Triton X-100) can improve antibody penetration for intracellular targets
Each new sample type requires optimization, with systematic comparison of different fixation times, buffer compositions, and retrieval methods to determine conditions that maximize signal-to-noise ratio while preserving tissue morphology .
Robust experimental design requires multiple control types:
Positive controls: Samples with verified SPCC24B10.10c expression, including:
Cell lines or tissues with confirmed expression
Recombinant expression systems overexpressing the target
Negative controls:
Genetic knockouts or knockdowns (siRNA/shRNA-treated samples)
Tissues/cells known not to express SPCC24B10.10c
Secondary antibody-only controls
Isotype controls matching the SPCC24B10.10c antibody class
Specificity controls:
Peptide competition assays
Multiple antibodies targeting different epitopes of SPCC24B10.10c
Parallel detection with orthogonal methods (mRNA analysis)
The importance of proper controls has been emphasized across immunological research. For example, studies of autoantibodies in primary sclerosing cholangitis have demonstrated how methodological variations and inadequate controls can lead to widely varying reported frequencies (4-63%) of the same autoantibody across different studies .
Successful ChIP experiments with SPCC24B10.10c antibodies require:
Antibody selection criteria:
High affinity (KD < 10⁻⁸ M)
Recognition of native (non-denatured) protein
Minimal cross-reactivity with other chromatin-associated proteins
Optimization parameters:
Crosslinking conditions (1% formaldehyde for 10-15 minutes is standard, but may require adjustment)
Sonication parameters to achieve 200-500bp chromatin fragments
Antibody concentration (typically 2-10 μg per ChIP reaction)
Washing stringency to minimize background
Validation approaches:
ChIP-qPCR of putative binding sites
ChIP-seq with biological replicates
Comparison with orthogonal methods (e.g., CUT&RUN)
Validation with tagged SPCC24B10.10c protein (if available)
The success of ChIP experiments depends heavily on antibody quality and protocol optimization. As seen in immunological studies, experimental variables can dramatically affect results, requiring careful standardization and validation .
When faced with discrepant results using different SPCC24B10.10c antibodies, researchers should implement a systematic troubleshooting strategy:
Epitope mapping comparison:
Identify exact epitopes recognized by each antibody
Determine if epitopes might be differentially accessible in various experimental conditions
Assess if post-translational modifications might affect epitope recognition
Technical validation:
Compare antibody performance metrics (affinity, specificity, lot-to-lot variation)
Evaluate detection methods (fluorescence vs. enzymatic, direct vs. amplified)
Standardize protein extraction and processing protocols
Biological validation:
Perform knockout/knockdown controls with each antibody
Use orthogonal techniques (mass spectrometry, RNA analysis)
Consider isoform-specific detection or protein complex interactions
Independent confirmation:
Utilize tagged versions of the protein
Apply proximity labeling approaches (BioID, APEX)
Employ functional assays to correlate with antibody detection patterns
This systematic approach aligns with observations from clinical studies where antibody detection results vary significantly between studies due to methodological differences, underscoring the need for standardized approaches and multiple validation methods .
High background is a common challenge with research antibodies. For SPCC24B10.10c antibodies, implement these specific steps:
| Issue | Optimization Strategy | Scientific Rationale |
|---|---|---|
| High background in immunoblotting | Increase blocking time (5% BSA or milk, 2+ hours); Add 0.05-0.1% Tween-20 to wash buffers; Dilute primary antibody further | Reduces non-specific protein binding and enhances signal-to-noise ratio |
| Non-specific bands | Pre-absorb antibody with cell lysate from non-expressing cells; Use gradient gels for better protein separation | Removes antibodies binding to unrelated epitopes; Improves separation of proteins with similar molecular weights |
| High background in immunofluorescence | Use directly labeled primary antibodies; Include 0.1-0.3% Triton X-100 in blocking solution; Extend washing steps (4-5x15 min) | Eliminates secondary antibody cross-reactivity; Reduces cytoplasmic trapping of antibodies |
| Inconsistent results | Standardize lysate preparation (controlled protease inhibition); Establish lot testing protocols | Preserves target protein integrity; Ensures consistent antibody performance |
Each optimization approach should be systematically tested and validated with proper controls. Background issues may also reflect biological relevance, similar to how perinuclear antineutrophil cytoplasmic antibodies (pANCA) in primary sclerosing cholangitis show distinctive patterns requiring specialized fixation techniques for proper discrimination from other staining patterns .
Establishing quantitative performance metrics requires:
Standard curve generation:
Use purified recombinant SPCC24B10.10c protein at known concentrations
Perform dilution series spanning at least 3 orders of magnitude
Plot signal intensity vs. concentration to determine linear range
Limit of detection (LOD) determination:
Calculate as blank signal + 3 standard deviations of blank
Verify with spike-in experiments in complex samples
Express as absolute protein quantity and molar concentration
Dynamic range assessment:
Determine upper and lower quantification limits
Evaluate potential hook effects at high concentrations
Assess matrix effects in different sample types
Reproducibility analysis:
Calculate intra-assay and inter-assay coefficients of variation
Determine antibody stability and performance across different lots
Establish minimum detectable concentration with statistical confidence
This quantitative characterization is critical for comparing experimental results across studies and establishing reliable detection thresholds, analogous to how autoantibody detection in clinical studies requires standardized quantification parameters to allow meaningful comparison between populations .
Adapting SPCC24B10.10c antibodies for single-cell analysis requires specialized approaches:
For mass cytometry (CyTOF):
Metal conjugation optimization (typically lanthanides)
Titration to determine optimal antibody concentration
Validation of specificity in mixed cell populations
Integration with other markers for comprehensive phenotyping
For microfluidic antibody capture:
Surface immobilization chemistry optimization
Sensitivity enhancement through proximity detection methods
Correlation with transcript levels in the same cells
Multiplexing with antibodies against other proteins in relevant pathways
For imaging mass cytometry:
Optimization of tissue preparation protocols
Spatial resolution enhancement techniques
Co-localization analysis with subcellular markers
Quantitative image analysis workflows
These advanced applications require antibodies with exceptionally high specificity and sensitivity. The principles of validation parallel those used in advanced autoantibody research, where specific cellular targets must be reliably detected against complex backgrounds .
Targeting post-translational modifications (PTMs) of SPCC24B10.10c presents unique challenges:
Modification-specific epitope design:
Include the modified residue centrally within the immunizing peptide
Ensure adequate flanking sequences for context recognition
Consider multiple peptides with the same modification at different sites
Validation requirements:
Compare reactivity against modified vs. unmodified protein
Use enzymatic treatment to remove modifications as negative controls
Employ site-directed mutagenesis to confirm specificity
Validate with mass spectrometry to confirm modification presence
Experimental controls:
Include treatment conditions that induce or remove the modification
Use inhibitors of the modification pathway as controls
Compare wild-type and modification site mutant proteins
Technical considerations:
Preserve modifications during sample preparation (phosphatase inhibitors, etc.)
Optimize extraction conditions to maintain modification integrity
Consider native conditions to preserve structurally dependent modifications
Development of modification-specific antibodies represents a frontier in protein research, allowing detection of proteins in specific functional states, similar to how autoantibodies against post-translationally modified antigens provide insights into disease mechanisms .