The SPAC607.08c Antibody is marketed as a 10mg vial for immunological research, priced at 1985.58 EUR (excluding VAT) . Key specifications include:
| Attribute | Value |
|---|---|
| Catalog Number | CSB-PA890791XA01SXV-10mg |
| Quantity | 10mg |
| Category | Immunology |
| Manufacturer | CUSABIO-WUHAN HUAMEI BIOTECH Co., Ltd. |
This antibody is positioned within BARIA sro’s Life Science portfolio, targeting researchers in pathology and immunology .
Monoclonal antibodies like SPAC607.08c are Y-shaped glycoproteins composed of:
Variable regions (Fv/Fab) for antigen binding via complementarity-determining regions (CDRs) .
Constant regions (Fc) for effector functions (e.g., complement activation) .
While SPAC607.08c’s specific epitope remains unspecified in product data, its design aligns with IgG1 antibodies—a subclass optimized for antigen neutralization and immunoprecipitation .
Antibodies in this category are commonly used for:
The SPAC607.08c Antibody exemplifies broader trends in antibody development:
Epitope Mapping: Modern techniques (e.g., AlphaFold2, molecular docking) enable precise epitope prediction .
Therapeutic Potential: IgG1 antibodies are favored for their high affinity and long half-life in therapeutic contexts .
Quality Control: Rigorous characterization (e.g., peptide mapping, charge variant analysis) ensures reproducibility .
While SPAC607.08c’s specific binding profile is not detailed in public databases (e.g., SAbDab, AbDb) , its alignment with IgG1 standards underscores opportunities for:
KEGG: spo:SPAC607.08c
STRING: 4896.SPAC607.08c.1
SPAC607.08c represents a specific gene/protein target in the fission yeast Schizosaccharomyces pombe proteome. While direct characterization data for SPAC607.08c is limited in the current literature, it shares structural homology with other well-characterized proteins containing the ΨHPC motif (where Ψ represents a hydrophobic amino acid residue) found in E2 enzymes involved in cellular processes. The antibody targeting this protein is classified within immunological research categories, suggesting its relevance to fundamental cellular mechanisms similar to those seen in other SPAC-family proteins involved in stress responses and cellular regulation.
The antibody is identified by catalog number CSB-PA890791XA01SXV-10mg and is manufactured by CUSABIO-WUHAN HUAMEI BIOTECH Co., Ltd. as part of BARIA sro's Life Science portfolio. Research characterization typically involves validation across multiple experimental platforms to confirm specificity and sensitivity for the target epitope.
The SPAC607.08c antibody follows the standard antibody architecture with distinct functional domains:
| Domain | Structure | Function |
|---|---|---|
| Variable Region (Fv/Fab) | Contains complementarity-determining regions (CDRs) | Antigen binding specificity |
| Constant Region (Fc) | Conserved domain structure | Mediates effector functions |
| Hinge Region | Flexible peptide | Facilitates spatial orientation |
As an IgG1 subclass antibody, SPAC607.08c antibody exhibits characteristics optimized for antigen neutralization and immunoprecipitation applications. The variable regions contain hypervariable loops that form the antigen-binding site, which determines specificity for the target epitope. The constant regions mediate downstream immune functions such as complement activation, though these are primarily relevant in vivo rather than in research applications.
Validating antibody specificity requires multiple orthogonal approaches:
Western Blot Analysis: Detection of a single band at the expected molecular weight (~20 kDa based on similar E2 enzymes) confirms target specificity . This should be performed in both wildtype and knockout/knockdown systems when possible.
Immunoprecipitation Validation: The ability to precipitate the target protein from complex lysates, confirmed by mass spectrometry or Western blotting, demonstrates binding capacity and specificity.
Cross-Reactivity Testing: Testing against related proteins, particularly other SPAC-family proteins such as SPAC227.04, which encodes an Atg10-like protein in S. pombe, helps establish specificity boundaries .
Epitope Mapping: Modern techniques utilizing AlphaFold2 and molecular docking enable precise epitope prediction, which can be experimentally validated through peptide arrays or hydrogen-deuterium exchange mass spectrometry.
SPAC607.08c antibody is particularly suited for immunoprecipitation applications due to its IgG1 subclass characteristics. For optimal results, follow this methodological approach:
Lysate Preparation:
Harvest cells in mid-log phase from appropriate medium (e.g., EMM for S. pombe studies)
Prepare extracts using lysis buffer containing: 50 mM TRIS-HCl pH 7.5, 150 mM NaCl, 0.5% Nonidet P-40, 10 mM imidazole, protease inhibitors (0.1% leupeptin, 0.1% pepstatin A, 1% aprotinin, 1% PMSF) and phosphatase inhibitors (0.2% Na₃VO₄, 5% NaF)
Clear lysates by centrifugation (12,000 × g, 10 minutes, 4°C)
Antibody Binding:
Pre-clear lysate with Protein A/G beads for 1 hour at 4°C
Add 2-5 μg SPAC607.08c antibody per 500 μg protein lysate
Incubate overnight at 4°C with gentle rotation
Precipitation and Analysis:
Add pre-washed Protein A/G beads and incubate for 2-4 hours at 4°C
Wash beads 4-5 times with lysis buffer containing reduced detergent concentration
Elute proteins by boiling in SDS-PAGE sample buffer
Analyze by Western blotting or mass spectrometry
To validate specific binding, include a control IgG antibody precipitation and compare results with known interacting proteins if available.
For detecting SPAC607.08c protein via Western blotting, implement this optimized protocol:
Sample Preparation:
Prepare protein extracts using the lysis buffer described above
Quantify protein concentration using Bradford or BCA assay
Load 20-50 μg protein per lane on SDS-PAGE gel (12-15% recommended for ~20 kDa proteins)
Electrophoresis and Transfer:
Antibody Incubation:
Block membrane with 5% non-fat milk or BSA in TBS-T for 1 hour at room temperature
Incubate with SPAC607.08c antibody at 1:1000-1:2000 dilution overnight at 4°C
Wash 3x with TBS-T
Incubate with HRP-conjugated secondary antibody (1:2000-1:5000) for 1 hour at room temperature
Controls and Validation:
Include positive control (tissue/cells known to express target)
Include negative control (knockout/knockdown samples if available)
Verify band size with molecular weight marker
For immunohistochemical applications, the following methodological approach optimizes detection:
Sample Preparation:
Fix cells with 4% paraformaldehyde for 15 minutes at room temperature
Permeabilize with 0.1% Triton X-100 for 10 minutes
Block with 5% normal serum from the species of secondary antibody for 30 minutes
Antibody Staining:
Visualization and Analysis:
Image using appropriate filter sets on fluorescence microscope
Include controls for autofluorescence and non-specific binding
Compare localization patterns with known subcellular markers
This approach allows visualization of the spatial distribution of SPAC607.08c within cells and tissues, providing insights into its potential functional roles.
While direct evidence for SPAC607.08c's role in stress response is not explicitly detailed in the provided literature, insights can be drawn from related proteins in the S. pombe proteome. The homologous protein SpAtg10 (encoded by SPAC227.04) demonstrates critical functions in cellular stress response:
| Stress Condition | SpAtg10 Response | Methodology for Assessment |
|---|---|---|
| Oxidative Stress (H₂O₂, diamide) | Resistance in Δatg10 cells | Serial dilution spotting assay |
| DNA Replication Stress (HU) | Sensitivity in Δatg10 cells | Colony formation assay |
| Microtubule Disruption (TBZ) | Increased sensitivity in Δatg10 cells | Growth inhibition analysis |
| Temperature Stress (37°C) | No temperature-sensitive phenotype | Comparative growth assessment |
These findings from related proteins suggest potential involvement of SPAC607.08c in stress response pathways, which could be experimentally investigated using similar methodological approaches . To explore SPAC607.08c's role in stress response, researchers should employ:
Gene deletion/knockdown studies followed by stress challenge experiments
Protein localization studies under various stress conditions
Interaction studies to identify stress-dependent binding partners
Phosphoproteomics to detect post-translational modifications under stress
Advanced computational methods offer significant advantages for optimizing antibody design and specificity:
Machine Learning and Supercomputing Approaches:
Free Energy Calculations:
Epitope Mapping and Specificity Enhancement:
Computational prediction of epitopes using AlphaFold2 and molecular docking techniques helps identify specific binding regions
These predictions guide targeted mutations to enhance specificity and reduce cross-reactivity
In Silico Affinity Maturation:
Implementing these computational approaches requires interdisciplinary collaboration between structural biologists, computational scientists, and immunologists.
Post-translational modifications (PTMs) can significantly impact antibody recognition of target proteins, presenting both challenges and research opportunities:
Common PTMs Affecting Recognition:
Phosphorylation: Changes charge distribution and potential binding surfaces
Glycosylation: Alters accessibility of epitopes and can sterically hinder antibody binding
Ubiquitination: Can mask epitopes or create novel recognition sites
Methodological Approaches to Address PTM Variability:
Generate modification-specific antibodies using synthetic peptides with the PTM of interest
Employ dephosphorylation assays to confirm phosphorylation-dependent recognition
Use deglycosylation enzymes (PNGase F, Endo H) to assess glycosylation effects on binding
Compare recognition patterns between native and recombinant proteins
Validation Strategies:
Western blotting with and without phosphatase/deglycosylase treatment
Immunoprecipitation followed by mass spectrometry to identify PTMs present on captured proteins
Use of site-directed mutagenesis to eliminate specific modification sites
Understanding PTM effects is particularly relevant for proteins involved in signaling pathways and stress responses, as these often undergo dynamic modifications affecting their function and localization.
Researchers commonly encounter several challenges when working with antibodies like SPAC607.08c:
| Challenge | Potential Causes | Methodological Solutions |
|---|---|---|
| High Background | Non-specific binding, insufficient blocking | Increase blocking time/concentration, optimize antibody dilution, include additional washing steps |
| No Signal | Epitope masking, protein degradation, low expression | Try multiple extraction methods, check protein stability, confirm target expression |
| Multiple Bands | Cross-reactivity, protein degradation, post-translational modifications | Use freshly prepared samples with protease inhibitors, validate with knockout controls |
| Variable Results | Antibody batch variation, inconsistent protocols | Standardize protocols, aliquot antibodies to avoid freeze-thaw cycles |
To systematically troubleshoot these issues:
Perform antibody titration experiments to determine optimal concentration
Test multiple blocking agents (BSA, milk, serum) to identify optimal conditions
Include positive and negative controls in every experiment
Consider alternative detection methods if conventional approaches fail
Given the relationship between some SPAC-family proteins and autophagy pathways, researchers can implement these methodological approaches:
Autophagy Induction and Monitoring:
Induce autophagy by nitrogen starvation: grow cells to mid-log phase in EMM, wash three times in EMM-N, and resuspend in EMM-N
Monitor autophagy through Western blotting analysis of marker proteins like Atg8-GFP and free GFP
Assess long-term survival during nitrogen starvation by measuring viability at specific time points
Genetic Interaction Studies:
Visualization of Autophagy Structures:
Quantitative Assessment:
Measure autophagic flux using degradation assays of known autophagy substrates
Implement flow cytometry-based approaches for high-throughput analysis
Quantify autophagosome formation using image analysis software
These methodologies enable comprehensive investigation of autophagy-related processes and potential involvement of SPAC607.08c in these pathways.
Rigorous validation requires implementation of multiple controls:
Genetic Controls:
Biochemical Controls:
Peptide competition assays confirm epitope specificity
Pre-adsorption controls identify non-specific binding
Isotype control antibodies detect Fc-mediated interactions
Cross-Species Controls:
Testing across evolutionary related species validates conservation of recognition
Heterologous expression systems confirm specificity in different contexts
Technical Controls:
Secondary antibody-only controls identify background signal
Multiple detection methods (fluorescence vs. chemiluminescence) confirm signal authenticity
Batch-to-batch consistency testing ensures reproducibility
Implementing these controls in a systematic manner ensures confidence in experimental results and facilitates troubleshooting when unexpected outcomes occur.
Several emerging technologies hold promise for advancing SPAC607.08c research:
Single-Domain Antibodies and Nanobodies:
Smaller antibody fragments offer improved penetration into cellular compartments
Enhanced stability allows for more robust experimental applications
Simplified recombinant production enables precise engineering
Proximity Labeling Approaches:
Antibody-enzyme fusions (e.g., APEX2, BioID) enable identification of proximal proteins
These approaches reveal spatial organization and interaction networks
Time-resolved studies capture dynamic protein interactions in response to stimuli
Antibody-Based Biosensors:
Conformation-sensitive antibodies detect structural changes in target proteins
FRET-based antibody pairs enable real-time monitoring of protein dynamics
Antibody-reporter enzyme fusions allow in vivo activity monitoring
Super-Resolution Microscopy Applications:
Site-specific fluorophore conjugation enhances spatial resolution
Multi-color imaging reveals co-localization with unprecedented precision
Live-cell compatible antibody fragments enable dynamic studies
These technologies expand the research toolkit beyond traditional applications, enabling deeper insights into SPAC607.08c function and regulation.
Several significant knowledge gaps remain in understanding SPAC607.08c:
Functional Characterization:
Precise biochemical activity and substrates remain to be fully elucidated
Regulatory mechanisms controlling expression and activation need investigation
Cell type-specific roles and expression patterns require systematic study
Interaction Networks:
Comprehensive interactome mapping is needed to place SPAC607.08c in cellular pathways
Dynamic changes in interaction partners under different conditions remain unexplored
Functional consequences of identified interactions require validation
Structural Insights:
High-resolution structural data would enable rational design of research tools
Conformational dynamics during functional cycles need characterization
Structure-function relationships require systematic mutational analysis
Physiological Significance:
Relevance to specific cellular processes and stress responses needs clarification
Potential conservation of function across species requires comparative studies
Therapeutic or diagnostic implications remain to be explored
Addressing these knowledge gaps will require integrated approaches combining genetics, biochemistry, structural biology, and systems-level analyses.
The research community can enhance antibody resources through collaborative approaches:
Standardized Validation:
Implement comprehensive validation protocols across multiple experimental systems
Share validation data through public repositories and publications
Develop consensus guidelines for antibody characterization
Resource Development:
Generate knockout validation materials and make them broadly available
Create tagged versions of SPAC607.08c for parallel validation studies
Develop complementary tools like recombinant proteins and peptide standards
Technology Implementation:
Knowledge Sharing:
Document experimental conditions in greater detail in publications
Contribute to antibody databases with application-specific information
Participate in community efforts to benchmark antibody performance
These collective efforts will significantly enhance the quality and utility of SPAC607.08c antibody resources, accelerating research progress in this field.