Source and describe biotinylated goat anti-human IgG antibodies, which are unrelated to SPAC4H3.08. These antibodies are used in immunoassays and Western blotting but do not reference SPAC4H3.08 .
Source details a goat anti-human IgG antibody (Cat. No. 2049-08) with cross-reactivity to rhesus and cynomolgus IgG. This product is specific to IgG subclasses and lacks any connection to SPAC4H3.08 .
Source focuses on a pan 14-3-3 antibody (H-8) for detecting 14-3-3 proteins in cancer research. This antibody targets a family of proteins involved in signaling pathways but does not mention SPAC4H3.08 .
Source is a PDF discussing the Sup11p protein in Schizosaccharomyces pombe, which is unrelated to antibody research .
Novelty: SPAC4H3.08 may be a newly developed antibody not yet cataloged in mainstream databases or commercial antibody databases.
Nomenclature: The name "SPAC4H3.08" could refer to a proprietary or unpublished antibody, making it difficult to locate in public sources.
Specialization: The antibody might target a niche antigen or be part of a custom synthesis project, limiting its availability in general scientific literature.
Without specific data on SPAC4H3.08, its applications, epitope specificity, or experimental validation remain unclear. Typical antibody characterization involves:
Target specificity: Binding affinity and cross-reactivity with human or non-human proteins.
Applications: Suitability for techniques like Western blotting, immunohistochemistry, or ELISA.
Purification methods: Use of affinity chromatography or other methods to ensure ultrapure preparations .
Database searches: Check platforms like Antibodypedia or the Human Protein Atlas for SPAC4H3.08.
Literature reviews: Search PubMed or Google Scholar for publications citing this antibody.
Contact manufacturers: Reach out to antibody suppliers for product details or custom synthesis options.
SPAC4H3.08 is a gene in Schizosaccharomyces pombe (fission yeast) that encodes a predicted short chain dehydrogenase protein . This protein is of interest in fundamental research on eukaryotic cell biology as S. pombe serves as an important model organism. S. pombe has been extensively used in studies of cell cycle regulation, chromosome dynamics, and metabolic pathways, with its genome fully sequenced and many proteins characterized in functional genomics studies . As a predicted dehydrogenase, SPAC4H3.08 may play roles in metabolic processes that can be studied using antibody-based detection methods to understand its expression, localization, and functional interactions.
Proper validation of the SPAC4H3.08 antibody should include:
| Validation Method | Purpose | Expected Outcome |
|---|---|---|
| Western blot with wild-type vs. deletion strains | Confirm specificity | Single band at predicted MW in wild-type, absent in deletion |
| Immunoprecipitation followed by mass spectrometry | Verify target binding | Identification of SPAC4H3.08 as predominant pulled-down protein |
| Immunofluorescence with tagged constructs | Validate localization patterns | Colocalization between antibody signal and fluorescently tagged protein |
| Pre-adsorption controls | Test for non-specific binding | Loss of specific signal after antibody pre-incubation with purified antigen |
| Cross-reactivity testing | Assess specificity across species | Signal in S. pombe but not in distant species lacking homologous proteins |
These validation approaches are crucial for establishing antibody reliability before proceeding to experimental applications, similar to validation protocols used for other S. pombe protein studies .
For optimal immunofluorescence results with SPAC4H3.08 antibody:
Cell wall digestion: Perform spheroplasting with appropriate enzymes (e.g., zymolyase or lysing enzymes) as demonstrated in protocols for S. pombe .
Fixation optimization: Test both formaldehyde (3-4%, 15-30 minutes) and methanol fixation (-20°C, 6-10 minutes) to determine which preserves the epitope better while maintaining cellular architecture.
Permeabilization: Use Triton X-100 (0.1-0.5%) or detergent mixtures for formaldehyde-fixed cells, carefully optimizing concentration and time.
Blocking: Employ 3-5% BSA or normal serum (from the species of secondary antibody) to minimize background.
Antibody dilution series: Test multiple primary antibody concentrations (typically 1:100 to 1:1000) to identify optimal signal-to-noise ratio.
Secondary antibody selection: Choose secondary antibodies with minimal cross-reactivity to yeast proteins, and include appropriate controls.
Signal enhancement: Consider tyramide signal amplification for low-abundance proteins while monitoring background levels.
For optimal Western blot results with SPAC4H3.08 antibody:
Sample preparation: Extract proteins from S. pombe using either TCA precipitation or mechanical disruption (glass beads) methods, with protease inhibitors to preserve protein integrity .
Protein separation: Use 10-12% SDS-PAGE gels for optimal resolution of the SPAC4H3.08 protein (predicted short chain dehydrogenase).
Transfer conditions: Perform semi-dry transfer at 15-20V for 30-45 minutes or wet transfer at 100V for 1 hour using PVDF membranes for optimal protein binding.
Blocking: Block membranes with 5% non-fat dry milk in TBST for 1 hour at room temperature.
Primary antibody incubation: Dilute SPAC4H3.08 antibody 1:1000 to 1:5000 in blocking buffer, incubate overnight at 4°C with gentle agitation.
Washes: Perform 4-5 washes with TBST, 5-10 minutes each.
Secondary antibody: Use HRP-conjugated or fluorescently-labeled secondary antibodies at manufacturer's recommended dilution.
Controls: Include wild-type S. pombe extract alongside a deletion strain or siRNA knockdown sample as positive and negative controls .
For successful ChIP experiments with SPAC4H3.08 antibody:
Cross-linking optimization: Test formaldehyde concentrations (1-3%) and incubation times (5-20 minutes) to preserve protein-DNA interactions without over-fixation.
Cell lysis: Use glass bead disruption with Buffer A (50 mM HEPES pH 7.5, 140 mM NaCl, 1 mM EDTA, 1% Triton X-100, 0.1% sodium deoxycholate) supplemented with protease inhibitors.
Chromatin shearing: Optimize sonication conditions to generate 200-500 bp DNA fragments, verifying by agarose gel analysis.
Pre-clearing: Incubate lysates with protein A/G beads to reduce non-specific binding.
Immunoprecipitation: Use 2-5 μg of SPAC4H3.08 antibody per sample, incubating overnight at 4°C with rotation.
Washing stringency: Perform sequential washes with increasingly stringent buffers to reduce background.
Elution and reversal: Elute immunoprecipitated complexes and reverse cross-links at 65°C for 4-6 hours.
DNA purification: Use phenol-chloroform extraction or commercial kits designed for ChIP samples.
Data analysis: Employ qPCR or next-generation sequencing to identify DNA regions associated with SPAC4H3.08 protein.
This protocol should be modified based on whether SPAC4H3.08 functions directly with DNA or as part of a protein complex, which can be determined through pilot experiments.
When facing contradictory localization data:
Multi-method validation: Compare results from immunofluorescence with live-cell imaging of fluorescently tagged SPAC4H3.08, similar to approaches used in studying SPB proteins in S. pombe .
Super-resolution microscopy: Employ techniques like STORM or SIM to resolve fine localization patterns beyond conventional microscopy limitations.
Fractionation studies: Conduct cellular fractionation followed by Western blotting to biochemically confirm subcellular distribution.
Epitope accessibility assessment: Test different fixation and permeabilization methods to determine if contradictions stem from epitope masking in certain cellular compartments.
Antibody specificity re-evaluation: Perform immunoprecipitation followed by mass spectrometry to verify the antibody's target specificity in different experimental conditions.
Cell cycle dependence: Synchronize cells to determine if contradictory results reflect cell cycle-dependent localization changes.
Stress conditions: Test if localization patterns change under different stress conditions, which might explain contradictory results from labs using slightly different growth conditions.
Immuno-electron microscopy: For definitive ultrastructural localization, use gold-labeled secondary antibodies for EM studies, similar to techniques used for analyzing Ppc89 localization .
For incorporating SPAC4H3.08 antibody in quantitative proteomics:
Immunoprecipitation-mass spectrometry (IP-MS):
Optimize IP conditions using different detergents and salt concentrations
Include appropriate controls (IgG, pre-immune serum)
Analyze precipitated proteins by LC-MS/MS
Use label-free quantification or isotope labeling (SILAC, TMT) for comparative studies
Targeted proteomics approaches:
Develop selected reaction monitoring (SRM) or parallel reaction monitoring (PRM) assays
Use immunoprecipitation with SPAC4H3.08 antibody as an enrichment step
Quantify specific peptides from the target protein and interacting partners
Spatial proteomics:
Combine proximity labeling techniques (BioID, APEX) with SPAC4H3.08 antibody validation
Map the protein interaction network spatially using MS-based identification
Post-translational modification analysis:
Enrich for phosphorylated, acetylated, or otherwise modified forms of SPAC4H3.08
Use modification-specific antibodies in conjunction with the SPAC4H3.08 antibody
Apply MS techniques to identify and quantify modifications
These approaches can be integrated with metabolomics studies to understand the role of SPAC4H3.08 in yeast metabolism, similar to comprehensive post-genomic studies described in S. cerevisiae .
When adapting SPAC4H3.08 antibody for flow cytometry applications:
Cell preparation:
Optimize fixation (formaldehyde 2-4%, 10-15 minutes)
Test different permeabilization reagents (saponin, Triton X-100, methanol)
Ensure single-cell suspensions through filtration
Antibody validation:
Confirm internalization efficiency through microscopy before FACS
Establish appropriate negative controls (isotype, secondary-only)
Use knockout or knockdown strains as biological negative controls
Signal optimization:
Test direct conjugation of fluorophores to reduce background
Evaluate signal amplification systems for low-abundance targets
Determine optimal antibody concentration through titration
Experimental design:
Include cell cycle markers to correlate expression with cell cycle phases
Consider co-staining with organelle markers to confirm localization
Develop appropriate gating strategies for yeast cells
Data analysis:
Establish quantitative metrics (median fluorescence intensity)
Consider compensation if using multiple fluorophores
Apply appropriate statistical tests for comparative analyses
This approach has been successful for analyzing protein expression in yeast populations, similar to methods used in antibody-based flow cytometric assessment of immunogenicity .
Structure-based optimization strategies for enhancing SPAC4H3.08 antibody performance:
Epitope mapping and refinement:
Identify the exact epitope recognized by the antibody using peptide arrays
Design modified antibodies targeting optimized epitopes with higher accessibility
Apply computational modeling to predict epitope exposure in native protein
Framework stabilization:
Affinity maturation:
Develop structure-focused libraries targeting CDR regions
Apply yeast display technology for selection of improved variants
Test multiple CDR modifications simultaneously to find optimal combinations
Format optimization:
Convert conventional antibodies to single-domain formats for better penetration
Evaluate scFv or Fab fragments for applications with steric constraints
Consider bispecific formats for dual targeting with improved avidity
These optimization strategies have been successfully applied to antibody development, resulting in significant improvements in binding affinity and stability, as demonstrated in recent research on single-domain antibodies .
When antibody-based detection yields different results than genetic tagging:
This systematic approach to resolving contradictions has been successfully applied in studies of SPB components in S. pombe and can help reconcile divergent results between antibody-based and genetic tagging methods .