The compound SPCC622.02 Antibody does not appear in the provided search results or widely recognized scientific databases as of March 17, 2025. This absence suggests it may be a niche, proprietary, or newly developed antibody not yet documented in publicly accessible literature. Below is an analysis based on general antibody research methodologies and available data frameworks.
Antibodies are Y-shaped glycoproteins composed of two heavy chains and two light chains, with antigen-binding (Fab) and effector (Fc) domains . Their primary functions include:
Pathogen neutralization: Binding to toxins or pathogens to prevent infection .
Immune activation: Recruiting effector cells (e.g., macrophages) to eliminate threats .
If SPCC622.02 Antibody follows standard antibody design principles, its applications could include:
| Category | Potential Use |
|---|---|
| Therapeutic | Targeting specific antigens (e.g., cancer markers or pathogens). |
| Diagnostic | Detecting biomarkers in assays (e.g., ELISA or flow cytometry). |
| Research | Studying cellular interactions or signaling pathways. |
Nomenclature ambiguity: The "SPCC622.02" designation may refer to a specific clone, batch, or proprietary product (e.g., similar to Anti-CD62P Antibody in search result ).
Limited documentation: No direct references to this antibody exist in the provided sources, which focus on general antibody biology , commercial antibody services , or specific CD62P monoclonal antibodies .
Consult specialized databases: Platforms like UniProt or AntibodyRegistry may list SPCC622.02 if it is cataloged .
Contact manufacturers: If SPCC622.02 is a commercial product, its developer (e.g., Antibody Research Corporation ) could provide technical specifications.
Review recent publications: Emerging antibodies are often described in journals like Frontiers in Immunology or preprint servers.
KEGG: spo:SPCC622.02
SPCC622.02 Antibody (catalog code CSB-PA527235XA01SXV) is a research antibody that targets a putative uncharacterized membrane protein in Schizosaccharomyces pombe (strain 972/ATCC 24843), commonly known as fission yeast . The target protein is identified in the UniProt database with accession number O94592 and is designated by the systematic ID SPCC622.02 in the S. pombe genome . This antibody serves as an important research tool for studying membrane protein biology in this model organism.
At minimum, SPCC622.02 Antibody should undergo application-specific validation following the consensus "5 pillars" approach developed for antibody validation . These include:
Genetic validation: Using CRISPR/knockout strains of S. pombe lacking SPCC622.02 to confirm antibody specificity
Orthogonal validation: Correlating protein levels detected by the antibody with mRNA expression data
Independent antibody validation: Using multiple antibodies targeting different epitopes of the same protein
Expression validation: Testing the antibody against recombinant SPCC622.02 protein
Immunocapture-mass spectrometry: Confirming target specificity through peptide sequencing
A combination of these approaches provides greater confidence in antibody specificity. Researchers should clearly document which validation methods were performed and include detailed methodology in publications .
Based on antibody applications for similar membrane proteins in S. pombe, SPCC622.02 Antibody can be utilized in:
Western blotting: For detecting and quantifying protein expression levels
Immunoprecipitation: For studying protein-protein interactions
Immunofluorescence: For visualizing subcellular localization
ChIP assays: If the protein has DNA-binding properties
Flow cytometry: For quantitative analysis in cell populations
Each application requires specific optimization and validation, as antibody performance can vary significantly between applications due to differences in how the epitope is presented . Application-specific validation is essential, as the conformation of the target antigen changes between methods (e.g., denatured in western blotting versus native in immunoprecipitation) .
Several factors can influence antibody specificity when working with SPCC622.02:
| Factor | Potential Impact | Mitigation Strategy |
|---|---|---|
| Sample preparation method | Alters epitope accessibility | Optimize protocols for each application |
| Cell/tissue fixation | Can modify protein structure | Test multiple fixation methods |
| Blocking reagents | May cause non-specific binding | Optimize blocking conditions |
| Detergents used | Can affect membrane protein solubility | Select detergents appropriate for membrane proteins |
| Cross-reactivity with similar proteins | False positive signals | Validate with knockout controls |
Researchers should be particularly attentive to the possibility of off-target binding, as many antibodies recognize additional molecules beyond their intended target . This is especially important for putative uncharacterized proteins like SPCC622.02, where complete structural information may be lacking .
Batch-to-batch variability is a significant challenge with biological reagents like antibodies . To address this with SPCC622.02 Antibody:
Record lot numbers: Always document the specific antibody lot used in experiments
Validate each new lot: Re-validate every new batch against a previously characterized batch
Create internal reference standards: Prepare and freeze lysates from wild-type S. pombe as positive controls
Generate validation datasets: Document antibody performance metrics for each batch
Consider long-term planning: Purchase larger quantities of a validated lot for long-term studies
The research community would benefit from sharing validation data for specific lots of SPCC622.02 Antibody, as this improves reproducibility across laboratories . Maintaining detailed records of antibody performance characteristics helps identify whether experimental variability stems from biological differences or reagent inconsistencies.
While specific optimization is necessary for each research context, general guidelines for immunoprecipitation with SPCC622.02 Antibody in S. pombe include:
Lysis buffer selection: Use buffers optimized for membrane proteins, containing appropriate detergents (e.g., NP-40, Triton X-100, or more specialized detergents for membrane proteins)
Antibody concentration: Typically 2-5 μg per 500 μg-1 mg of total protein
Incubation conditions: Overnight at 4°C with gentle rotation
Washing stringency: Balance between removing non-specific binding while preserving specific interactions
Controls: Include no-antibody controls and, ideally, samples from SPCC622.02 knockout strains
For subsequent mass spectrometry analysis, consider that the sequenced peptides will include both directly captured antigens and interacting proteins . The top three peptide sequences should all come from the target protein to provide good evidence of antibody selectivity .
Robust experimental design for comparing wild-type and mutant SPCC622.02 protein expression should include:
Multiple biological replicates: Minimum of three independent cultures
Technical replicates: At least duplicate analyses of each biological sample
Appropriate controls:
Positive control: Wild-type S. pombe lysate
Negative control: SPCC622.02 knockout strain
Loading control: Constitutively expressed protein unaffected by experimental conditions
Quantification method: Use digital imaging and software analysis rather than visual assessment
Statistical analysis: Apply appropriate statistical tests with correction for multiple comparisons
Blinded analysis: When possible, blind the researcher performing quantification to sample identity
Document all experimental parameters, including growth conditions, cell density at harvest, lysis method, protein quantification method, gel percentage, transfer conditions, antibody dilutions, and exposure times . This comprehensive documentation facilitates reproducibility and allows meaningful comparison between experiments.
For co-localization studies using SPCC622.02 Antibody in immunofluorescence microscopy:
Fixation optimization: Test multiple fixation methods (e.g., paraformaldehyde, methanol) to preserve both membrane structure and epitope accessibility
Permeabilization: Optimize detergent type and concentration for membrane proteins
Multiplexing considerations:
Select secondary antibodies with minimal spectral overlap
When using multiple primary antibodies, ensure they are raised in different species
Consider sequential staining if antibodies have potential cross-reactivity
Controls for specificity:
Single-color controls to assess bleed-through
Secondary-only controls to assess non-specific binding
SPCC622.02 knockout strains as negative controls
Image acquisition settings:
Maintain consistent settings between samples
Capture images below saturation
Use appropriate resolution for co-localization analysis
Quantitative analysis:
Apply statistical measures of co-localization (e.g., Pearson's coefficient)
Report both visual and quantitative assessments
Include spatial distribution analysis where relevant
These considerations help ensure that observed co-localization reflects true biological associations rather than technical artifacts or non-specific binding .
Inconsistent results when using SPCC622.02 Antibody may stem from several sources:
| Issue | Potential Causes | Troubleshooting Approach |
|---|---|---|
| Weak or no signal | Insufficient antibody concentration, epitope masking, protein degradation | Optimize antibody concentration, modify sample preparation, add protease inhibitors |
| Non-specific bands | Insufficient blocking, cross-reactivity, sample overloading | Increase blocking stringency, reduce antibody concentration, reduce sample load |
| Variability between replicates | Inconsistent transfer, uneven exposure, sample loading variation | Use internal controls, standardize protocols, employ quantitative methods |
| Discrepancies with published data | Different antibody lots, different validation standards, different experimental conditions | Compare methods in detail, perform side-by-side validation, contact authors |
| High background | Excessive antibody concentration, insufficient washing, non-specific binding | Titrate antibody, increase wash duration/stringency, optimize blocking |
When troubleshooting, change only one variable at a time and maintain detailed records of all modifications to protocols . This systematic approach helps identify the specific factors contributing to inconsistent results.
Reconciling contradictory findings requires a systematic approach:
Compare antibody details: Verify that the same antibody (including company, catalog number, and lot) was used
Review validation methods: Assess how each laboratory validated the antibody for their specific application
Examine experimental conditions:
Cell growth and harvesting conditions
Sample preparation methods
Protocol details (concentrations, incubation times, temperatures)
Detection systems and sensitivity
Consider biological variables:
Strain differences (even within S. pombe 972)
Growth phase effects
Media composition impacts
Environmental stressors
Collaborative cross-validation:
Exchange protocols and reagents
Perform identical experiments in different laboratories
Share raw data for independent analysis
The research community's openness about antibody performance characteristics and validation methods is crucial for improving reproducibility . When publishing, include detailed methods and antibody validation data to facilitate cross-laboratory comparisons.
To optimize signal-to-noise ratio:
Antibody titration: Test a range of concentrations to identify the minimum concentration that provides specific signal
Blocking optimization:
Test different blocking agents (BSA, milk, serum, commercial blockers)
Optimize blocking time and temperature
Consider adding detergents to blocking buffer
Sample preparation refinement:
Optimize lysis conditions for membrane proteins
Consider enrichment methods for membrane fractions
Remove interfering substances through additional purification steps
Washing optimization:
Increase number of washes
Modify wash buffer composition
Extend wash durations
Detection system selection:
Choose detection methods appropriate to expected expression level
Consider signal amplification methods for low-abundance targets
Use quantitative detection systems with broad dynamic range
Advanced approaches:
Pre-adsorption of antibody with non-specific proteins
Affinity purification of antibody
Subtraction of signal from knockout controls
Maintaining optimal signal-to-noise ratio is particularly important for quantitative analyses and when studying proteins with low expression levels or in complex sample matrices .
Complete Methods sections should include:
Antibody details:
Supplier and catalog number
Lot number
Clone number (if monoclonal)
Host species and antibody type
Concentration used
Validation performed:
Which of the "5 pillars" were implemented
Positive and negative controls used
Previous publications validating this antibody (if applicable)
Experimental conditions:
Complete protocol details with concentrations and times
Sample preparation specifics
Equipment and settings used
Image acquisition parameters
Data analysis:
Quantification methods
Software used (with version)
Statistical approaches
Blinding procedures (if applicable)
This comprehensive reporting enables other researchers to accurately replicate experiments and properly interpret results . Consider including key validation data in supplementary materials if space in the main text is limited.
When antibody-based approaches (e.g., immunoblotting, immunofluorescence) yield different results from genetic approaches (e.g., fluorescent protein tagging, transcriptomics):
This comprehensive and transparent approach advances scientific understanding even when results appear contradictory . Discrepancies often lead to new insights about protein biology, technical limitations, or novel regulatory mechanisms.