The search results span diverse antibody-related topics, including SARS-CoV-2 neutralizing antibodies ( ), anti-α-synuclein antibodies for multiple system atrophy ( ), anti-idiotype antibodies ( ), Ebola virus monoclonal antibodies ( ), IgG allotypes and ADCC mechanisms ( ), and rabies monoclonal antibody cocktails ( ). None of these studies mention "SPCC1442.03 Antibody," suggesting it may not yet be published in peer-reviewed literature or publicly disclosed databases.
Preclinical or Early Clinical Phase: Antibodies in early development stages often use internal codenames (e.g., "AZD3152" for sipavibart in ). "SPCC1442.03" could represent an undisclosed candidate under investigation.
Proprietary or Confidential Status: Pharmaceutical companies frequently withhold antibody identifiers until later development phases or patent filings.
Formatting Variations: The name might use alternate formatting (e.g., hyphens, underscores) not captured in the search.
Incorrect Identifier: Verify the accuracy of the compound name; similar identifiers (e.g., "SP-CC-1442.03") may yield different results.
Query proprietary databases (e.g., Cortellis, Pharmaprojects) or clinical trial registries (ClinicalTrials.gov) for industry-sponsored research.
Review recent conference abstracts or preprints (e.g., bioRxiv) for unpublished data.
Reach out to institutions specializing in antibody development (e.g., AstraZeneca, Regeneron) for potential collaboration or disclosures.
Set alerts for "SPCC1442.03" in scientific search engines (PubMed, Google Scholar) to track emerging publications.
For context, below is a table summarizing antibody identifiers from the search results and their associated targets:
| Antibody Name | Target/Application | Source |
|---|---|---|
| 28F1, 47D1 | SARS-CoV-2 RBD | |
| Lu AF82422 | α-synuclein (MSA therapy) | |
| Ansuvimab, REGN-EB3 | Ebola virus glycoprotein | |
| Sipavibart (AZD3152) | SARS-CoV-2 spike protein |
This table highlights the absence of "SPCC1442.03" in documented antibody pipelines.
KEGG: spo:SPCC1442.03
STRING: 4896.SPCC1442.03.1
SPCC1442.03 antibody is a polyclonal antibody raised in rabbits against the recombinant Schizosaccharomyces pombe (strain 972 / ATCC 24843) SPCC1442.03 protein. This antibody specifically targets the SPCC1442.03 protein in fission yeast and has been validated for research applications. The antibody is identified by the Uniprot number Q76PC3 and product code CSB-PA741742XA01SXV .
For optimal antibody stability and performance, store SPCC1442.03 antibody at either -20°C or -80°C immediately upon receipt. It is crucial to avoid repeated freeze-thaw cycles as they can compromise antibody integrity and function. For long-term storage, -80°C is generally preferred, while working aliquots may be kept at -20°C. The antibody is supplied in liquid form without conjugation to other molecules .
According to the product information, SPCC1442.03 antibody has been specifically tested and validated for Enzyme-Linked Immunosorbent Assay (ELISA) and Western Blot (WB) applications. These validations ensure proper identification of the target antigen in these common immunological techniques .
Optimizing Western Blot protocols with SPCC1442.03 antibody requires careful consideration of several parameters:
Protocol Optimization Steps:
Sample preparation: Extract proteins from S. pombe using appropriate lysis buffers containing protease inhibitors to prevent degradation.
Protein separation: Use SDS-PAGE with appropriate percentage acrylamide gels based on the molecular weight of SPCC1442.03.
Transfer optimization: For yeast proteins, consider extended transfer times or higher voltage to ensure complete protein transfer to membranes.
Blocking optimization: Test different blocking agents (3-5% BSA or non-fat milk in TBST) to reduce background while preserving specific signals.
Antibody concentration: Begin with a 1:1000 dilution and adjust based on signal intensity and background levels.
Incubation conditions: Compare results from overnight incubation at 4°C versus shorter incubations at room temperature.
Detection system selection: Choose between chemiluminescence, fluorescence, or colorimetric detection based on required sensitivity.
Similar optimization approaches have been demonstrated effective with other research antibodies, as seen in immunohistochemistry protocols where pretreatment of tissue sections significantly improves antigen detection .
When developing ELISA assays with SPCC1442.03 antibody, consider these methodological aspects:
Coating optimization: Determine optimal concentration of capture antigen or antibody (typically 1-10 μg/ml).
Blocking parameters: Test different blocking buffers (BSA, milk, commercial blockers) for optimal signal-to-noise ratio.
Antibody titration: Perform serial dilutions to identify the concentration that provides maximum specific signal with minimal background.
Incubation dynamics: Compare different incubation times and temperatures to balance assay speed and sensitivity.
Detection system selection: Choose appropriate enzyme-conjugated secondary antibodies and substrates based on required sensitivity.
| Parameter | Recommended Range | Optimization Approach |
|---|---|---|
| Coating Concentration | 1-10 μg/ml | Titrate in 2-fold dilutions |
| Blocking Solution | 1-5% BSA or milk | Compare side-by-side |
| Primary Antibody Dilution | 1:500-1:5000 | Serial dilutions |
| Incubation Temperature | 4°C, RT, 37°C | Compare for specificity |
| Incubation Time | 1-16 hours | Balance sensitivity vs. time |
| Wash Stringency | 3-5 washes | Adjust based on background |
Validating antibody specificity is crucial for reliable research results. Multiple complementary approaches can be employed:
Genetic validation: Compare signal between wild-type S. pombe and strains with SPCC1442.03 gene deletion or knockdown.
Peptide competition assays: Pre-incubate antibody with excess immunizing peptide before application to block specific binding.
Recombinant protein controls: Include purified SPCC1442.03 protein as positive control.
Cross-species testing: Test reactivity with lysates from related yeast species to assess cross-reactivity.
Multiple detection methods: Confirm results using different immunological techniques.
Drawing from established antibody validation methodologies, approaches such as those used for humanized antibody fragments can be adapted, where ELISA titration curves are used to determine optimal antigen binding conditions .
Antibodies against yeast proteins may exhibit cross-reactivity due to conserved protein domains across species. To address potential cross-reactivity with SPCC1442.03 antibody:
Pre-absorption: Incubate antibody with lysates from related yeast species to remove cross-reactive antibodies.
Stringency optimization: Increase salt concentration in wash buffers to reduce non-specific binding.
Blocking optimization: Include yeast extract from species other than S. pombe in blocking buffer.
Epitope analysis: Perform bioinformatic analysis to identify unique regions in SPCC1442.03 compared to similar proteins.
Validation across methods: Confirm specificity using multiple detection methods with different principles.
When encountering signal issues with SPCC1442.03 antibody, consider these methodological solutions:
Common Issues and Solutions:
Antibody degradation:
Low protein expression:
Cause: SPCC1442.03 may be expressed at low levels in certain conditions
Solution: Enrich for target protein using subcellular fractionation or immunoprecipitation
Sample preparation issues:
Cause: Inefficient protein extraction from yeast cells
Solution: Optimize cell lysis methods (glass beads, enzymatic digestion, mechanical disruption)
Epitope masking:
Cause: Protein modifications or conformation changes blocking antibody access
Solution: Test different sample preparation methods (native vs. denaturing conditions)
Similar troubleshooting approaches have proven effective with other research antibodies, as demonstrated in immunohistochemistry protocols where antigen retrieval methods significantly enhance signal detection .
Background reduction is crucial for clear signal interpretation. Consider these optimization steps:
Blocking optimization:
Test different blocking agents (BSA, milk, commercial blockers)
Extend blocking time to ensure complete coverage of non-specific binding sites
Antibody dilution adjustment:
Perform titration series to identify optimal concentration
Prepare antibody in fresh blocking buffer
Wash protocol enhancement:
Increase wash duration and number of washes
Add detergents (0.05-0.1% Tween-20) to wash buffers
Buffer optimization:
Adjust salt concentration to reduce non-specific ionic interactions
Consider adding low concentrations of competing proteins
Sample preparation refinement:
Ensure complete removal of cell wall material that can cause non-specific binding
Include centrifugation steps to remove insoluble material
While not specifically validated for ChIP, SPCC1442.03 antibody could potentially be adapted for this application following these methodological considerations:
Preliminary verification:
First establish whether SPCC1442.03 associates with chromatin using subcellular fractionation
Confirm antibody's ability to recognize native conformation of the protein
Protocol optimization:
Develop S. pombe-specific crosslinking conditions (typically 1% formaldehyde for 10-15 minutes)
Optimize sonication parameters for yeast cells to achieve 200-500 bp fragments
Test different immunoprecipitation conditions (antibody amount, incubation time)
Controls implementation:
Include input DNA, no-antibody, and isotype controls
Consider using epitope-tagged SPCC1442.03 with validated tag antibody as positive control
Similar immunoprecipitation approaches have been successfully employed with other antibodies, as shown in studies of prion proteins where immunohistochemistry methods were adapted to detect specific protein conformations .
To investigate protein-protein interactions involving SPCC1442.03:
Co-immunoprecipitation (Co-IP):
Optimize lysis conditions to preserve protein-protein interactions
Use mild detergents (0.1-0.5% NP-40 or Triton X-100)
Perform both forward and reverse Co-IPs to confirm interactions
Proximity-based methods:
Combine with BioID or TurboID approaches for detecting transient interactions
Use the antibody to validate proximity labeling results
Immunofluorescence co-localization:
Optimize fixation and permeabilization for S. pombe cells
Perform dual staining with markers of cellular compartments
Mass spectrometry validation:
After immunoprecipitation, identify interacting partners by mass spectrometry
Confirm specific interactions with reciprocal pull-downs
The importance of appropriate controls in such experiments is highlighted in antibody development research, where specific binding conditions must be carefully validated .
When considering polyclonal versus monoclonal options for SPCC1442.03 detection:
Polyclonal SPCC1442.03 Antibody characteristics:
Recognizes multiple epitopes on the target protein
Generally provides stronger signals due to multiple binding sites
May have higher potential for cross-reactivity
Batch-to-batch variation might occur
Monoclonal alternatives (if available):
Target single epitope with high specificity
More consistent between production batches
May provide cleaner results with less background
Could be more sensitive to epitope modifications
This comparative analysis reflects general patterns observed in antibody technology, such as seen in the PD-L1 (SP142) rabbit monoclonal antibody, which demonstrated high sensitivity and specificity in clinical research applications .
Researchers should consider these comparative aspects when deciding between antibody-based detection and tagging strategies:
Advantages of SPCC1442.03 Antibody:
Detects the endogenous protein without genetic manipulation
No risk of tag interference with protein function
Expression levels reflect natural physiological conditions
No concerns about overexpression artifacts
Limitations of SPCC1442.03 Antibody:
Specificity depends on antibody quality and validation
Signal strength depends on endogenous expression levels
May not work equally well across all applications
Advantages of epitope tagging:
Highly specific detection with validated tag antibodies
Flexibility in tag selection based on experimental needs
Often works well for low-abundance proteins
Limitations of epitope tagging:
Requires genetic modification of strains
Tag may interfere with protein function or localization
Expression may not match endogenous levels
Similar considerations arise in various research contexts, as demonstrated in humanization of antibody fragments, where maintaining specificity while modifying antibody properties requires careful design and validation .