The term "SPAC2C4.10c Antibody" does not appear in any of the provided search results ( ) or in major biomedical databases such as PubMed, ClinicalTrials.gov, or the WHO’s International Nonproprietary Names (INN) list.
All search results focus on SARS-CoV-2 neutralizing antibodies (e.g., S2P6, CV3-25, 4A5) targeting the S2 subunit of the spike protein. None reference an antibody with the alphanumeric identifier "SPAC2C4.10c."
The identifier may contain typographical errors or non-standard formatting. For example:
Antibodies in the search results use naming conventions like CC40.8, CV3-25, or 4A5, which align with typical monoclonal antibody designations.
The prefix "SPAC2C4.10c" does not conform to established antibody nomenclature guidelines (e.g., WHO’s INN system).
For context, here are key antibodies discussed in the search results that target conserved regions of the SARS-CoV-2 S2 subunit:
If "SPAC2C4.10c Antibody" is a novel or proprietary compound, consider:
Consulting Patent Databases: Search the USPTO or WIPO databases for unpublished applications.
Contacting Academic Institutions: Reach out to virology or immunology departments for unpublished data.
Revisiting Nomenclature: Verify the identifier’s format with standardized systems (e.g., INN, Antibody Society guidelines).
KEGG: spo:SPAC2C4.10c
STRING: 4896.SPAC2C4.10c.1
Validation should employ multiple approaches to ensure antibody specificity. Begin with western blotting against wild-type and knockout/knockdown samples to confirm the antibody recognizes the correct protein. Immunoprecipitation followed by mass spectrometry can further confirm target identity. Additionally, perform ELISA testing against purified SPAC2C4.10c protein and structural homologs to assess cross-reactivity.
For quantitative validation, consider implementing a cell-based inhibition assay similar to the Spike-ACE2 inhibition approach, which can provide functional validation by measuring antibody binding to SPAC2C4.10c-expressing cells . Correlation between binding ability and functional outcomes provides robust evidence of specificity.
| Storage Parameter | Recommendation | Notes |
|---|---|---|
| Temperature | -20°C (long-term) | Avoid repeated freeze-thaw cycles |
| 4°C (working aliquot) | Stable for 1-2 weeks | |
| Formulation | PBS + 0.02% sodium azide | For standard applications |
| 50% glycerol in PBS | For increased stability | |
| Aliquoting | 10-50 μL | Size based on typical experiment needs |
| Avoid | Bacterial contamination | Use sterile technique when handling |
| Direct light exposure | Store in opaque containers |
Activity assessment should be performed periodically using a quantitative ELISA to track potential degradation over time, similar to quantitative antibody tests developed for serology .
Prepare cell lysate from S. pombe using a gentle lysis buffer (20 mM Tris-HCl pH 7.5, 150 mM NaCl, 1 mM EDTA, 1% NP-40, protease inhibitors).
Pre-clear lysate with protein A/G beads for 1 hour at 4°C.
Incubate 500 μg of pre-cleared lysate with 2-5 μg of SPAC2C4.10c antibody overnight at 4°C with gentle rotation.
Add 50 μL of protein A/G beads and incubate for 2-3 hours at 4°C.
Wash 4 times with ice-cold lysis buffer.
Elute proteins by boiling in SDS-PAGE loading buffer or using a gentle elution buffer for downstream applications.
For improved results, consider coupling the antibody to beads using chemical crosslinking to prevent antibody co-elution, a strategy similar to that employed in isolation of specific antibody populations in complex samples .
High background in immunofluorescence can be addressed through multiple optimization steps:
Fixation optimization: Compare paraformaldehyde (4%, 10-15 minutes) versus methanol (-20°C, 10 minutes) fixation to determine which best preserves the epitope while maintaining cellular architecture.
Permeabilization: Test different permeabilization agents (0.1-0.3% Triton X-100, 0.1% saponin, or 0.05% SDS) and durations.
Blocking: Extend blocking time to 2 hours using 5% normal serum from the species of the secondary antibody plus 1% BSA.
Antibody concentration: Perform a titration series (1:100 to 1:2000) to identify the optimal dilution.
Washing: Increase wash steps to 5 x 5 minutes with PBS containing 0.05% Tween-20.
Additionally, pre-adsorption of the antibody with acetone powder from knockout cells can significantly reduce non-specific binding, a technique analogous to immunoaffinity purification methods used for isolating specific antibodies from patient samples .
Epitope mapping is crucial for understanding antibody function and can be performed through multiple complementary approaches:
Peptide Array Analysis: Synthesize overlapping peptides (15-20 amino acids with 5 amino acid shifts) spanning the entire SPAC2C4.10c protein. Test antibody binding to identify the linear epitope region.
Mutagenesis Approach: Create point mutations or deletions in key regions of SPAC2C4.10c and assess antibody binding, similar to the mutational analysis approach used to identify antibody binding sites in the SARS-CoV-2 Spike protein .
Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS): Measure the rate of hydrogen-deuterium exchange in the presence and absence of the antibody to identify protected regions.
Computational Prediction: Use algorithms that predict antibody-antigen interactions based on structural features and binding energies, similar to those used in library-on-library approaches for antibody-antigen binding prediction .
A comprehensive approach combining multiple methods yields the most reliable epitope mapping data:
| Method | Advantages | Limitations | Typical Timeline |
|---|---|---|---|
| Peptide Array | High throughput, identifies linear epitopes | Misses conformational epitopes | 2-3 weeks |
| Mutagenesis | Identifies critical residues | Labor intensive, requires expression system | 1-2 months |
| HDX-MS | Detects conformational epitopes | Requires specialized equipment | 2-4 weeks |
| Computational | Rapid, cost-effective | Requires validation | 1-2 weeks |
Quantitative assessment of antibody binding properties requires multiple biophysical techniques:
Surface Plasmon Resonance (SPR): Immobilize purified SPAC2C4.10c protein on a sensor chip and measure antibody association/dissociation rates. Calculate the equilibrium dissociation constant (K<sub>D</sub>) from kinetic data.
Bio-Layer Interferometry (BLI): An alternative to SPR that measures the interference pattern of white light reflected from a biosensor surface, allowing real-time measurement of biomolecular interactions.
Isothermal Titration Calorimetry (ITC): Directly measure the heat released or absorbed during antibody-antigen binding to determine thermodynamic parameters.
Enzyme-Linked Immunosorbent Assay (ELISA): Perform a dilution series of the antibody against a fixed amount of antigen to generate a binding curve, similar to the quantitative SARS-CoV-2 antibody tests .
For functional avidity assessment, develop a cell-based assay where SPAC2C4.10c-expressing cells are treated with varying antibody concentrations, analyzing binding through flow cytometry. This approach provides more physiologically relevant binding data than purely in vitro methods, similar to cell-based Spike-ACE2 inhibition assays used for SARS-CoV-2 antibody assessment .
When using SPAC2C4.10c antibody for IP-MS to identify protein interaction partners:
Crosslinking Strategy: Implement in vivo crosslinking with 1% formaldehyde or DSP (dithiobis(succinimidyl propionate)) to capture transient interactions before cell lysis.
Two-step Purification: Perform tandem affinity purification by adding a tag to SPAC2C4.10c (e.g., FLAG or HA) and use both antibody and tag-based purification to reduce background.
Quantitative Control: Implement SILAC (Stable Isotope Labeling by Amino acids in Cell culture) or TMT (Tandem Mass Tag) labeling to distinguish true interactors from contaminants.
Native Complex Preservation: Use gentler lysis conditions (e.g., freeze-grinding with mortar and pestle in liquid nitrogen followed by buffer addition) to maintain complex integrity.
On-bead Digestion: Perform trypsin digestion directly on the immunoprecipitated complexes to minimize sample loss.
The workflow should include biological replicates and appropriate negative controls (IgG control, knockout/knockdown samples). Statistical analysis using tools like SAINT (Significance Analysis of INTeractome) helps identify high-confidence interaction partners while filtering out common contaminants.
Discrepancies between antibody-based detection and genetic manipulation outcomes require systematic investigation:
Validate Knockout Efficiency: Verify complete absence of the protein using multiple antibodies targeting different epitopes. Perform RT-qPCR to confirm absence of transcript.
Check for Splice Variants: The antibody may detect a splice variant not affected by the knockout strategy. Perform RNA-seq to identify all possible transcripts.
Investigate Cross-Reactivity: The antibody may cross-react with a homologous protein. Perform immunoprecipitation followed by mass spectrometry to identify all proteins recognized by the antibody.
Assess Compensatory Mechanisms: Genetic knockout may trigger upregulation of functionally redundant proteins. Perform proteomics analysis of wild-type versus knockout cells.
Temporal Considerations: Acute antibody inhibition versus chronic genetic deletion may result in different phenotypes due to adaptation. Implement inducible knockout systems to compare acute versus chronic effects.
A dual approach using both genetic manipulation (CRISPR/Cas9) and antibody-based inhibition provides complementary evidence and can resolve apparent contradictions, similar to how multiple assays are used to validate neutralizing antibody activity in viral research .
Computational prediction of antibody cross-reactivity involves several sophisticated approaches:
The implementation of active learning strategies, as demonstrated in recent antibody-antigen binding research, can significantly improve prediction accuracy while reducing the experimental validation burden by up to 35% .
| Computational Method | Input Requirements | Output | Accuracy Considerations |
|---|---|---|---|
| Sequence-based | Primary sequence | Alignment scores, similarity percentages | May miss structural mimicry |
| Structure-based | 3D structures or models | Surface patches, interaction energies | Depends on model quality |
| Machine Learning | Training datasets of known cross-reactions | Probability of cross-reactivity | Limited by training data diversity |
| Molecular Dynamics | 3D structures, force fields | Binding energy profiles, conformational changes | Computationally intensive |
For successful ChIP experiments with SPAC2C4.10c antibody:
Crosslinking: Fix S. pombe cells with 1% formaldehyde for 15 minutes at room temperature, quench with 125 mM glycine for 5 minutes.
Chromatin Preparation:
Lyse cells in buffer containing 50 mM HEPES-KOH pH 7.5, 140 mM NaCl, 1 mM EDTA, 1% Triton X-100, 0.1% sodium deoxycholate, and protease inhibitors.
Sonicate to obtain DNA fragments of 200-500 bp (verify by agarose gel electrophoresis).
Immunoprecipitation:
Pre-clear chromatin with protein A/G beads for 1 hour at 4°C.
Incubate 50-100 μg of chromatin with 3-5 μg of SPAC2C4.10c antibody overnight at 4°C.
Add protein A/G beads and incubate for 3 hours at 4°C.
Perform stringent washes with increasing salt concentrations.
DNA Recovery:
Reverse crosslinks by heating at 65°C overnight.
Treat with RNase A and Proteinase K.
Purify DNA using phenol-chloroform extraction or commercial kits.
Quality Control:
Perform qPCR on known binding sites versus negative control regions.
Calculate enrichment relative to input and IgG control.
For ChIP-seq applications, incorporate spike-in controls (e.g., Drosophila chromatin with Drosophila-specific antibody) for normalization across samples. This approach provides a quantitative assessment of binding, similar to the quantitative antibody testing methodologies used in serological studies .
Developing a quantitative ELISA requires careful optimization of multiple parameters:
Antibody Pairing:
Use SPAC2C4.10c antibody as either capture or detection antibody.
If using as detection antibody, conjugate directly with enzyme or use labeled secondary antibody.
For sandwich ELISA, identify a second antibody recognizing a different epitope.
Standard Curve Generation:
Express and purify recombinant SPAC2C4.10c protein.
Create serial dilutions (typically 8-point, 2-fold) covering the expected range of endogenous protein.
Include blank controls to establish background signal.
Protocol Optimization:
Coating buffer: Compare carbonate buffer (pH 9.6) versus PBS (pH 7.4).
Blocking agent: Test 1-5% BSA, milk powder, or commercial blocking solutions.
Antibody concentration: Perform titration to determine optimal concentration.
Incubation times and temperatures: Compare room temperature versus 4°C incubation.
Validation:
Spike-and-recovery: Add known amounts of recombinant protein to samples.
Dilutional linearity: Serial dilutions of samples should yield proportional results.
Precision: Assess intra- and inter-assay variability (CV should be <15%).
The approach should incorporate quantitative standards similar to those used in developing SARS-CoV-2 antibody tests, ensuring reliable and reproducible measurements across different sample types and experimental conditions .
Super-resolution microscopy with SPAC2C4.10c antibody requires special considerations:
Fixation and Permeabilization Optimization:
Compare different fixatives: 4% PFA (10 min), methanol (-20°C, 5 min), or glyoxal (4%, 30 min).
Test permeabilization agents that maintain structure: 0.1% Triton X-100, 0.05% saponin, or 0.01% digitonin.
Antibody Modifications:
For STORM/PALM: Consider direct conjugation with photoswitchable fluorophores (Alexa Fluor 647, Cy5.5).
For STED: Use fluorophores with high photostability (ATTO 647N, STAR 635P).
For DNA-PAINT: Conjugate with DNA oligonucleotides for exchange-PAINT applications.
Sample Density Considerations:
Optimize antibody concentration to achieve sparse labeling (1:500 to 1:2000 dilution).
Consider using Fab fragments for reduced label displacement.
Multicolor Imaging Strategy:
When combining with other antibodies, use species-specific secondaries with minimal cross-reactivity.
For direct conjugation, select fluorophores with minimal spectral overlap.
Controls and Validation:
Perform parallel conventional microscopy to verify localization patterns.
Use knockout/knockdown cells as negative controls.
Include fiducial markers for drift correction and channel alignment.
When implementing DNA-PAINT approaches, utilize the principles of library-on-library screening to optimize imaging conditions for multiple targets simultaneously, similar to approaches used in antibody-antigen binding prediction research .
Western blotting inconsistencies can be systematically addressed:
Sample Preparation Optimization:
Compare different lysis buffers: RIPA versus gentler NP-40 or digitonin-based buffers.
Add denaturation aids: 8M urea or 6M guanidine hydrochloride for aggregation-prone proteins.
Optimize reducing conditions: Compare different DTT/β-mercaptoethanol concentrations.
Transfer Efficiency Assessment:
Use reversible staining (Ponceau S) to verify protein transfer.
For high molecular weight proteins (>100 kDa), extend transfer time or use semi-dry transfer.
For small proteins (<20 kDa), use specialized membranes (0.1 μm pore PVDF) and adjust methanol concentration.
Antibody Incubation Parameters:
Temperature: Compare 4°C overnight versus room temperature for 1-2 hours.
Buffer composition: Test different blocking agents (BSA, milk, commercial blockers).
Signal enhancement: Use signal enhancers like tyramide signal amplification.
Expression Level Variability:
Normalize loading using housekeeping proteins appropriate for your experimental conditions.
Consider cell cycle dependence of expression using synchronized cultures.
Assess post-translational modifications that may affect antibody recognition.
Create a systematic troubleshooting table tracking all variables modified and resulting signal quality. This methodical approach mirrors the comprehensive antigen characterization strategies used in developing reliable serological tests .
Modern multiplexing approaches enable complex protein interaction analysis:
Sequential Fluorescent Labeling:
Apply primary antibodies from different species.
Use spectrally distinct fluorophore-conjugated secondary antibodies.
For more than 4 targets, implement sequential labeling with antibody stripping between rounds.
Mass Cytometry (CyTOF):
Conjugate antibodies with isotopically pure metals.
Enables detection of >40 proteins simultaneously.
Requires specialized equipment but eliminates spectral overlap issues.
Proximity Ligation Assay (PLA):
Detect protein-protein interactions within 40 nm proximity.
Use SPAC2C4.10c antibody paired with antibodies against suspected interaction partners.
Each interaction appears as a distinct fluorescent spot.
Multiplexed Immunofluorescence with Spectral Unmixing:
Use fluorophores with overlapping spectra.
Apply computational spectral unmixing to separate signals.
Enables 6-8 targets on the same sample.
DNA-barcoded Antibodies:
Conjugate antibodies with unique DNA barcodes.
Detect via next-generation sequencing or specialized imaging.
Allows theoretically unlimited multiplexing.
These approaches offer quantitative, spatially resolved information about protein interactions, similar to the multi-parametric analyses used in studying neutralizing antibody epitopes and binding characteristics .