All eight search results focus on established antibodies targeting pathogens (e.g., malaria, S. aureus, COVID-19) or cell markers (e.g., oligodendrocyte marker O4). None mention SPAC10F6.04 Antibody, suggesting it is either a newly developed compound, a proprietary product, or a misidentified/misnamed entity .
Novel Development: If SPAC10F6.04 Antibody is under preclinical research, its data may not yet be published or indexed in public databases.
Proprietary Designation: The name could represent a codified identifier used by a specific manufacturer or lab, not standardized in scientific literature.
Nomenclature Error: The name may contain typographical errors or non-standard formatting (e.g., missing hyphens or incorrect case sensitivity).
To confirm the existence of SPAC10F6.04 Antibody, the following steps are advised:
| Action | Details |
|---|---|
| PubMed Search | Use keywords like "SPAC10F6.04 Antibody" or "SPAC10F6.04 monoclonal" |
| ClinicalTrials.gov | Check for trials referencing this antibody under "Other Study IDs" |
| Manufacturer Databases | Query companies specializing in monoclonal antibodies (e.g., Bio-Techne, R&D Systems) |
| Scientific Conferences | Review abstracts from recent immunology or biotech conferences (e.g., AACR, ASH) |
KEGG: spo:SPAC10F6.04
STRING: 4896.SPAC10F6.04.1
SPAC10F6.04 refers to a gene in Schizosaccharomyces pombe (fission yeast), an important model organism widely used in molecular and cellular biology research. Fission yeast serves as an excellent experimental system due to its genetic tractability and similarity to higher eukaryotes in various cellular mechanisms. The SPAC10F6.04 gene encodes a protein that researchers investigate to understand specific cellular functions in fission yeast. The antibody against this protein (SPAC10F6.04 Antibody) enables researchers to detect, quantify, and isolate this protein in various experimental settings, making it an essential tool for studying its biological roles and interactions .
For optimal Western blot results with SPAC10F6.04 Antibody, researchers should follow these methodological steps:
Harvest fission yeast cells in mid-log phase (approximately 10^8 cells per extraction).
Prepare cell lysates in an appropriate buffer containing protease inhibitors to prevent protein degradation.
Separate proteins using 4-12% NuPage Novex Bis-Tris gels for optimal resolution.
Transfer proteins to Hybond ECL nitrocellulose membranes.
Block membranes with 5% non-fat dry milk or BSA in TBST.
Incubate with primary SPAC10F6.04 Antibody at 1:1000 dilution overnight at 4°C.
Wash thoroughly with TBST before incubating with secondary antibody.
Develop using enhanced chemiluminescence (ECL) detection system.
Include appropriate controls, such as lysate from SPAC10F6.04 deletion strains .
For effective immunoprecipitation:
Grow yeast cells to mid-log phase in appropriate medium (YES or EMM).
Harvest cells and wash once with ice-cold water, followed by washing with buffer (e.g., H buffer containing 25 mM HEPES, pH 7.6, 0.5 mM EGTA, 0.1 mM EDTA, 2 mM MgCl₂, 20% glycerol, 0.02% NP-40, 1 mM DTT with 300-500 mM KCl).
Freeze cells in liquid nitrogen and lyse using mechanical disruption.
Clear lysate by high-speed centrifugation (e.g., 37K in a SW40 Beckman rotor).
Incubate cleared lysate with SPAC10F6.04 Antibody pre-bound to protein A beads on a rotating wheel for 3 hours at 4°C.
Wash beads thoroughly with buffer containing appropriate salt concentration.
Elute bound proteins using either low pH, high salt, or specific peptide competition.
Analyze eluted proteins by SDS-PAGE followed by Western blotting or mass spectrometry .
To validate antibody specificity:
Perform Western blot analysis comparing wild-type yeast strains and strains where SPAC10F6.04 gene has been deleted or downregulated.
Use epitope-tagged versions of SPAC10F6.04 (such as HA-, FLAG-, or MYC-tagged) as positive controls, along with corresponding anti-tag antibodies.
Conduct peptide competition assays where the antibody is pre-incubated with the antigenic peptide before use in detection methods.
Compare results with predicted molecular weight and expression patterns of SPAC10F6.04.
Test cross-reactivity with closely related proteins or in closely related species.
Perform immunoprecipitation followed by mass spectrometry to confirm that the antibody specifically enriches for SPAC10F6.04 and its known interactors .
Essential controls include:
Negative controls:
SPAC10F6.04 knockout or deletion strains
No primary antibody control
Isotype control antibody (non-specific IgG of the same species)
Positive controls:
Recombinant SPAC10F6.04 protein if available
Epitope-tagged SPAC10F6.04 with corresponding tag antibody
Technical controls:
Loading controls for Western blots (e.g., actin, tubulin)
Input samples for immunoprecipitation experiments
Dilution series to establish linear detection range
Biological controls:
For ChIP experiments with SPAC10F6.04 Antibody:
Crosslink fission yeast cells with formaldehyde (typically 1% for 10-15 minutes) to preserve protein-DNA interactions.
Lyse cells and sonicate chromatin to generate DNA fragments of 200-500 bp.
Pre-clear chromatin with protein A/G beads to reduce non-specific binding.
Incubate pre-cleared chromatin with SPAC10F6.04 Antibody overnight at 4°C.
Include appropriate controls: no-antibody control and non-specific IgG control.
Capture antibody-protein-DNA complexes using protein A/G beads.
Wash stringently to remove non-specific interactions.
Reverse crosslinks and purify DNA.
Analyze enriched DNA regions by qPCR, microarray, or next-generation sequencing.
Optimize antibody concentration and incubation conditions based on signal-to-noise ratio .
When facing inconsistent results:
Antibody handling:
Avoid repeated freeze-thaw cycles of antibody
Store in small aliquots at -20°C or -80°C
Validate antibody lot-to-lot consistency
Experimental optimization:
Test different antibody concentrations and incubation times
Try different blocking agents (BSA, milk, commercial blockers)
Modify lysis buffer components (salt concentration, detergents)
For Western blots, test different transfer conditions and membrane types
Sample preparation:
Ensure consistent cell growth conditions
Optimize cell lysis methods for complete protein extraction
Include protease and phosphatase inhibitors
Process samples consistently across experiments
Quantitative approach:
In silico modeling approaches include:
Sequence analysis:
Identify the amino acid sequence of SPAC10F6.04 protein
Use epitope prediction algorithms to identify potential linear epitopes
Perform sequence alignment with related proteins to identify unique regions
Structure-based analysis:
Generate homology models if crystal structure is unavailable
Identify surface-exposed regions that likely serve as antibody epitopes
Use molecular dynamics simulations to assess epitope accessibility
Antibody-antigen interaction modeling:
If antibody sequence is known, model the complementarity-determining regions
Perform antibody-antigen docking simulations
Calculate binding energies to predict interaction strength
Validation and refinement:
To quantitatively assess binding properties:
Surface plasmon resonance (SPR):
Immobilize purified SPAC10F6.04 protein on a sensor chip
Flow antibody at different concentrations over the surface
Measure association (ka) and dissociation (kd) rate constants
Calculate equilibrium dissociation constant (KD = kd/ka)
Bio-layer interferometry (BLI):
Similar to SPR but uses optical interference patterns
Allows for rapid screening of binding kinetics
Works with crude samples and requires less material
Enzyme-linked immunosorbent assay (ELISA):
Perform saturation binding experiments with varying antibody concentrations
Plot binding curves and calculate apparent KD
Compare binding under different buffer conditions
Isothermal titration calorimetry (ITC):
To study post-translational modifications (PTMs):
Initial detection:
Use general SPAC10F6.04 Antibody to immunoprecipitate the protein
Perform Western blot analysis looking for multiple bands or mobility shifts
Use PTM-specific antibodies (phospho-, acetyl-, ubiquitin-specific) on the same samples
Mass spectrometry approaches:
Immunoprecipitate SPAC10F6.04 using the antibody
Perform in-gel or in-solution digestion
Analyze by LC-MS/MS with fragmentation methods optimized for PTM detection
Use neutral loss scanning for phosphorylation or precursor ion scanning for other modifications
Enrichment strategies:
Combine immunoprecipitation with PTM-specific enrichment methods
Use TiO2 for phosphopeptides, antibody-based enrichment for other PTMs
Apply fractionation methods to increase coverage
Functional validation:
For rigorous quantitative analysis:
Ensure linearity of signal detection:
Perform standard curves with serial dilutions
Identify the linear range of detection for accurate quantification
Normalize data appropriately:
Use validated housekeeping proteins (e.g., actin, tubulin) as loading controls
Consider total protein normalization methods (e.g., Ponceau S staining)
Verify that normalization controls remain stable under experimental conditions
Apply appropriate statistical tests:
For comparing two conditions: t-test (paired or unpaired)
For multiple conditions: ANOVA followed by post-hoc tests (Tukey, Bonferroni)
For non-normally distributed data: non-parametric tests (Mann-Whitney, Kruskal-Wallis)
Account for variability:
To study protein interactions:
Co-immunoprecipitation approaches:
Use SPAC10F6.04 Antibody to pull down the protein and its interactors
Perform reciprocal co-IP with antibodies against suspected interaction partners
Include appropriate controls (IgG control, deletion strains)
Analyze by Western blot or mass spectrometry
Proximity-based methods:
BioID: Express SPAC10F6.04 fused to a biotin ligase
APEX: Express SPAC10F6.04 fused to an engineered peroxidase
Proximity ligation assay (PLA) using SPAC10F6.04 Antibody with antibodies against potential partners
Genetic approaches to validate interactions:
Synthetic genetic array (SGA) analysis with SPAC10F6.04 mutants
Suppressor screens to identify functional interactions
Two-hybrid screening using SPAC10F6.04 as bait
Dynamics of interactions:
For integrated analysis:
Correlation with transcriptomic data:
Compare protein levels (from Western blot) with mRNA levels (from RNA-seq)
Identify potential post-transcriptional regulation
Integration with ChIP-seq data:
If SPAC10F6.04 is a DNA-binding protein, use ChIP-seq to identify binding sites
Correlate binding sites with gene expression changes
Identify co-occurring transcription factors or chromatin marks
Network analysis:
Place SPAC10F6.04 in protein interaction networks using IP-MS data
Integrate with known protein complexes in fission yeast
Use tools like Cytoscape or STRING for visualization and analysis
Functional enrichment:
For localization studies:
Immunofluorescence microscopy:
Fix cells with appropriate methods (formaldehyde, methanol)
Permeabilize to allow antibody access
Incubate with SPAC10F6.04 Antibody followed by fluorescent secondary antibody
Include DAPI or other nuclear markers for reference
Use confocal microscopy for high-resolution imaging
Subcellular fractionation:
Separate nuclear, cytoplasmic, and membrane fractions
Analyze each fraction by Western blot with SPAC10F6.04 Antibody
Include marker proteins for each compartment as controls
Co-localization with cellular markers:
Perform double immunofluorescence with markers for cellular compartments
Calculate co-localization coefficients (Pearson's, Manders')
Use super-resolution microscopy for detailed co-localization
Dynamic localization:
To analyze functional domains:
Truncation and mutation analysis:
Create series of SPAC10F6.04 truncations or point mutations
Express in SPAC10F6.04 deletion background
Use the antibody to confirm expression and analyze function
Domain-specific interactions:
Perform pull-downs with isolated domains
Identify domain-specific interaction partners
Map interaction interfaces using crosslinking mass spectrometry
Structure-function analysis:
Combine structural predictions with experimental validation
Use SPAC10F6.04 Antibody to assess stability and expression of mutants
Correlate structural features with functional outcomes
Evolutionary analysis:
Combining antibody detection with CRISPR-Cas9:
Genome editing strategies:
Create point mutations in functional domains of SPAC10F6.04
Introduce fluorescent or epitope tags at the endogenous locus
Generate conditional alleles for temporal control
Validation approaches:
Use SPAC10F6.04 Antibody to confirm successful editing
Verify expression levels in edited vs. wild-type strains
Assess localization changes using immunofluorescence
Functional studies:
Perform immunoprecipitation to identify altered protein interactions
Use ChIP to detect changes in chromatin association
Combine with proteomics to identify affected pathways
Phenotypic analysis:
For ELISA development:
Assay format selection:
Direct ELISA: Immobilize sample containing SPAC10F6.04
Sandwich ELISA: Use capture and detection antibodies
Competitive ELISA: Competition between sample antigen and reference
Protocol optimization:
Coating conditions (buffer, concentration, time)
Blocking agent selection (BSA, milk, commercial blockers)
Antibody dilutions and incubation parameters
Detection system (HRP, AP, fluorescence)
Standard curve development:
Use recombinant SPAC10F6.04 or synthetic peptides
Create standard dilution series
Determine detection limits and linear range
Validation parameters:
For multiplexed analysis:
Multiplexed immunoprecipitation:
Use SPAC10F6.04 Antibody in combination with antibodies against interaction partners
Apply sequential immunoprecipitation for specific complexes
Analyze by Western blot or mass spectrometry
Proximity-based multiplexing:
Combine proximity ligation assay (PLA) with multiple antibody pairs
Use different fluorophores to detect distinct interactions simultaneously
Apply automated image analysis for quantification
Mass spectrometry approaches:
SWATH-MS or other data-independent acquisition methods
TMT or iTRAQ labeling for quantitative comparison
Cross-linking mass spectrometry (XL-MS) to map interaction interfaces
Data integration:
Fission yeast-specific considerations:
Cell wall and membrane permeability:
Optimize spheroplasting or cell wall digestion for immunofluorescence
Use appropriate lysis methods to ensure complete protein extraction
Consider cell cycle stage effects on cell wall thickness
Expression conditions:
Account for expression changes during different growth phases
Consider medium composition effects (YES vs. EMM)
Be aware of potential regulation under stress conditions
Genetic background effects:
Use appropriate wild-type controls matching your strain background
Consider auxotrophic marker effects on expression
Validate findings across different strain backgrounds
Technical considerations:
To study cell cycle dynamics:
Synchronization methods:
Use temperature-sensitive cdc mutants
Apply nitrogen starvation and release
Employ centrifugal elutriation or lactose gradient separation
Time-course analysis:
Collect samples at defined intervals after synchronization
Use SPAC10F6.04 Antibody for Western blot analysis
Quantify protein levels relative to cell cycle markers
Microscopy approaches:
Perform immunofluorescence at different cell cycle stages
Co-stain with cell cycle markers (DNA, septum, spindle)
Analyze localization changes during cycle progression
Post-translational regulation:
Monitor mobility shifts indicating modifications
Use phospho-specific antibodies if available
Correlate with activity of cell cycle kinases
Degradation dynamics: