The SPBC18H10.17c gene encodes Sup11p, a protein essential for β-1,6-glucan synthesis in S. pombe. β-1,6-glucan is a structural polysaccharide critical for cell wall integrity and septation. Sup11p shares homology with Saccharomyces cerevisiae Kre9p, which is implicated in β-1,6-glucan assembly, though its exact mechanistic role remains under investigation .
| Attribute | Details |
|---|---|
| Gene ID | SPBC18H10.17c |
| Protein Name | Sup11p |
| Organism | Schizosaccharomyces pombe |
| Molecular Function | β-1,6-glucan biosynthesis, cell wall remodeling, septation |
| Localization | Cell wall-associated; involved in septum formation |
Polyclonal antibodies against Sup11p were generated using GST-fusion peptides derived from Sup11p sequences. These antibodies were affinity-purified and validated for specificity in multiple assays :
Sup11p depletion abolishes β-1,6-glucan in the cell wall, leading to compensatory upregulation of β-1,3-glucan synthases (e.g., Gas2p) .
Microarray data from nmt81-sup11 mutants showed significant regulation of glucan-modifying enzymes (e.g., ags1+, bgs4+), indicating cell wall remodeling .
Knockdown mutants exhibit aberrant septum formation with abnormal accumulation of β-1,3-glucan at septal sites, suggesting disrupted spatial regulation of glucan deposition .
Key Phenotypes:
Multi-septated cells.
Lysis-prone cell walls.
Mislocalized cell wall synthases.
Sup11p is hypo-mannosylated in O-mannosylation-deficient (oma4Δ) strains, with unexpected N-glycosylation at an atypical N-X-A sequon .
This suggests competition between O- and N-glycosylation pathways in regulating Sup11p function.
No commercial availability; restricted to research use in original studies.
Requires validation via conditional mutants due to gene essentiality.
Cell Lysis: Spheroblasting of S. pombe cells for protein extraction .
Western Blot: Use 10–12% SDS-PAGE and chemiluminescent detection .
Microscopy: Fixed cells stained with anti-Sup11p and counterstained with Calcofluor White for cell wall visualization .
Fungal Biology: Insights into conserved mechanisms of β-glucan synthesis across fungi.
Biotechnology: Potential target for antifungal drug development.
Cell Cycle Studies: Links between cell wall integrity checkpoints and cytokinesis.
SPBC18H10.17c Antibody is a research-grade antibody developed for detecting and studying specific interleukin pathway components in experimental systems. Similar to other interleukin-targeting antibodies, it can be used for identifying cytokine-producing cells within complex biological samples. The antibody functions by specifically binding to its target antigen, allowing researchers to monitor protein expression, localization, and interaction dynamics in various experimental contexts.
When properly validated, this antibody enables researchers to perform intracellular immunofluorescent staining and flow cytometric analysis to identify specific cytokine-producing cells, similar to how the TC11-18H10.1 antibody is used for IL-17A detection . Its primary function is to serve as a detection reagent in immunological research protocols, contributing to our understanding of cellular signaling networks.
For optimal performance, SPBC18H10.17c Antibody should be stored undiluted between 2°C and 8°C and protected from prolonged exposure to light. Similar to other fluorochrome-conjugated antibodies, freezing should be avoided as it may compromise antibody integrity and binding capacity . The antibody solution typically comes in a phosphate-buffered solution at pH 7.2, containing a small percentage of sodium azide as a preservative.
When handling the antibody:
Minimize freeze-thaw cycles
Centrifuge the vial briefly before opening to collect solution at the bottom
Use sterile technique when accessing the vial
Return to refrigerated storage promptly after use
Document lot number and usage for experimental reproducibility
These storage conditions maintain antibody stability and ensure consistent performance across experiments, which is essential for generating reliable research data.
Validating antibody specificity is crucial for ensuring experimental reliability. For SPBC18H10.17c Antibody, researchers should implement multiple validation strategies:
Biolayer Interferometry (BLI) Analysis: Test binding specificity using purified recombinant target protein at concentrations of 100 nM or higher, similar to validation methods used for single-domain antibodies targeting specific receptor subunits .
Flow Cytometry Validation: Compare staining patterns between positive control samples (expressing the target) and negative control samples (target-deficient), looking for clear separation between positive and negative populations.
Competitive Binding Assays: Perform inhibition experiments with unlabeled antibody or purified antigen to demonstrate binding specificity.
Western Blot Analysis: Confirm that the antibody recognizes a protein of the expected molecular weight.
Knockout/Knockdown Controls: Test the antibody on samples where the target has been genetically deleted or reduced to confirm absence of non-specific binding.
These rigorous validation approaches ensure that experimental results truly reflect the intended target's biology rather than artifacts from non-specific binding.
SPBC18H10.17c Antibody has been primarily quality-tested for intracellular immunofluorescent staining with flow cytometric analysis (ICFC), similar to antibodies targeting interleukin family members . For flow cytometry applications, the suggested usage is ≤0.25 μg per million cells in 100 μl volume, though researchers should titrate the reagent for optimal performance in their specific experimental systems.
Additional applications that may be suitable but require further validation include:
Immunohistochemistry (IHC)
Immunocytochemistry (ICC)
Enzyme-linked immunosorbent assay (ELISA)
Immunoprecipitation (IP)
Western blotting
When adapting the antibody for applications beyond flow cytometry, preliminary optimization experiments should be conducted to determine appropriate concentrations, incubation conditions, and detection systems for each specific experimental context.
Incorporating SPBC18H10.17c Antibody into complex experimental designs requires strategic planning to maximize data quality and interpretability. Drawing from advanced immunological research approaches, researchers can:
Multi-parameter flow cytometry: Combine SPBC18H10.17c Antibody with antibodies against other pathway components to simultaneously analyze multiple signaling nodes. When designing panels, consider fluorochrome brightness, spillover, and compatibility with fixation/permeabilization protocols required for intracellular staining.
Single-cell analysis workflows: Integrate antibody staining with single-cell RNA sequencing to correlate protein expression with transcriptional profiles at the individual cell level.
Phospho-flow protocols: Combine with phospho-specific antibodies to assess activation status of signaling pathways downstream of the target protein.
Ex vivo stimulation assays: Use the antibody to detect changes in protein expression following various stimulation conditions (e.g., cytokine treatments, receptor agonists/antagonists).
In vivo imaging: For appropriate models, consider conjugating the antibody to imaging agents for in vivo tracking of target-expressing cells.
These approaches enable researchers to move beyond simple detection toward mechanistic understanding of complex signaling networks, similar to how IL-18 receptor agonists were characterized using reporter cell systems and cytokine release assays from primary cells .
Engineering SPBC18H10.17c Antibody for enhanced functionality can significantly expand its research applications. Multiple strategies have been developed based on antibody engineering principles:
Format Engineering: Reformatting into bispecific antibody architectures can dramatically alter functional properties. For instance, creating bispecific derivatives that simultaneously target two components of a signaling pathway can generate mimetics with augmented or novel biological activities .
Valency Modification: Altering the number of binding domains can significantly impact functional potency. Research has shown that changing from monovalent (1+1) to bivalent or higher valency formats can enhance signaling activation, as demonstrated with IL-18 receptor agonists .
Domain Orientation Engineering: Modifying the spatial arrangement of binding domains within the antibody structure can optimize receptor engagement and downstream signaling, as seen with engineered cytokine mimetics .
Fc Modifications: Introducing specific mutations (e.g., E430G) can alter antibody properties, though researchers should be aware that such modifications may impact stability and expression yields .
Single-Domain Antibody (sdAb) Approaches: Leveraging VHH domains (single-domain antibodies derived from camelids) can enable novel antibody architectures with unique properties, including improved tissue penetration and stability .
The comparative performance of different engineered formats should be systematically evaluated, as modifications often involve trade-offs between potency, stability, and expression efficiency.
When faced with contradictory experimental results using SPBC18H10.17c Antibody, researchers should implement a systematic troubleshooting approach:
Antibody Validation Reassessment:
Confirm antibody specificity using multiple independent methods
Verify lot-to-lot consistency if results changed after switching lots
Evaluate potential cross-reactivity with similar proteins
Protocol Optimization:
Test multiple fixation and permeabilization methods for intracellular targets
Optimize blocking conditions to reduce non-specific binding
Adjust antibody concentration through careful titration experiments
Evaluate buffer composition effects on binding efficiency
Technical Variables Analysis:
Document and control sample preparation techniques
Standardize incubation times and temperatures
Ensure consistent instrument settings for flow cytometry or imaging
Implement appropriate compensation controls for multi-parameter analyses
Biological Context Considerations:
Evaluate cell activation status and differentiation state
Consider potential post-translational modifications affecting epitope recognition
Assess expression levels and potential threshold detection issues
Cross-Validation Approaches:
Compare results with alternative antibody clones targeting the same protein
Correlate protein detection with mRNA expression
Validate key findings using genetic approaches (knockdown/knockout)
Maintaining detailed records of experimental conditions and systematic testing of variables will help identify sources of discrepancy and establish reliable protocols.
When designing multi-parameter flow cytometry panels incorporating SPBC18H10.17c Antibody, researchers should consider several critical factors:
Fluorochrome Selection and Panel Design:
Match fluorochrome brightness with target abundance (brighter fluorochromes for less abundant targets)
Minimize spectral overlap between fluorochromes
Account for the excitation laser available on your cytometer (e.g., APC-conjugated antibodies require red laser excitation at 633nm)
Consider the impact of fixation/permeabilization on fluorochrome stability
Staining Protocol Optimization:
Determine whether the target requires intracellular staining
Select compatible fixation and permeabilization reagents for intracellular targets
Establish proper staining sequence (surface markers before fixation/permeabilization)
Optimize antibody concentration for each marker (generally ≤0.25 μg per million cells)
Control Implementation:
Include fluorescence minus one (FMO) controls
Use isotype controls with matching fluorochromes
Incorporate single-stained compensation controls
Implement biological controls (stimulated vs. unstimulated)
Data Analysis Considerations:
Apply appropriate compensation matrix
Implement consistent gating strategies
Consider dimensionality reduction techniques for high-parameter datasets
Account for autofluorescence in primary cells
Biological Factors:
Consider timing of protein expression post-stimulation
Account for protein co-expression patterns
Be aware of potential antigenic modulation affecting epitope accessibility
Thorough panel design and validation are essential for generating reliable multi-parameter data that accurately reflects biological phenomena.
When evaluating SPBC18H10.17c Antibody against alternative approaches for studying the same target, researchers should consider multiple factors:
| Approach | Advantages | Limitations | Best Applications |
|---|---|---|---|
| SPBC18H10.17c Antibody | - Direct protein detection - Compatible with flow cytometry - Allows assessment in single cells - Can detect post-translational modifications | - Depends on antibody specificity - May have batch variability - Limited to epitope accessibility | - Protein expression analysis - Cellular localization studies - Flow cytometry phenotyping |
| Recombinant Reporter Systems | - Real-time monitoring - Can assess functional activity - Allows kinetic measurements | - Requires genetic modification - May not reflect endogenous regulation - Limited to transfectable systems | - Signaling pathway studies - Drug screening - Promoter activity analysis |
| Genetic Approaches (CRISPR, RNAi) | - Target specificity - Functional assessment - Can establish causality | - Off-target effects - Compensation mechanisms - Phenotypic delay | - Functional validation - Mechanistic studies - In vivo significance |
| Mass Spectrometry | - Unbiased detection - Can identify novel interactions - Quantitative capacity | - Sample processing requirements - Limited sensitivity - Specialized equipment needed | - Proteome analysis - Interaction studies - Post-translational modification mapping |
| Single-Domain Antibodies (VHHs) | - Smaller size - Greater tissue penetration - Novel engineering opportunities | - Humanization may be required - Different binding properties - May need specific formats | - In vivo imaging - Bispecific constructs - Targeting cryptic epitopes |
The optimal approach depends on specific research questions. For instance, while SPBC18H10.17c Antibody may excel at detecting protein expression by flow cytometry, alternative approaches like bispecific antibodies might be more suitable for functional studies where receptor cross-linking is desired . Similarly, reporter cell systems might be preferable for high-throughput screening applications .
The optimal protocol for using SPBC18H10.17c Antibody in intracellular flow cytometry involves several critical steps:
Cell Preparation:
Harvest cells during optimal expression window
Wash cells in PBS containing 2% FBS
Adjust to 1-5 × 10^6 cells/mL
For cytokine detection, consider using protein transport inhibitors during final 4-6 hours of culture
Surface Staining (if performing):
Stain with surface markers in appropriate buffer
Wash cells thoroughly before proceeding to fixation
Fixation and Permeabilization:
Fix cells using formaldehyde-based fixative (3-4% paraformaldehyde for 10-15 minutes)
Wash cells in PBS
Permeabilize using appropriate buffer (saponin-based for cytoplasmic proteins)
Note: Different targets may require specialized fixation/permeabilization reagents
Intracellular Staining:
Instrument Setup and Analysis:
This protocol should be optimized for specific experimental conditions, cell types, and cytometer configurations to ensure optimal signal-to-noise ratio and reproducible results.
SPBC18H10.17c Antibody can be effectively used for isolating specific cell populations through several approaches:
Fluorescence-Activated Cell Sorting (FACS):
Stain cells following optimized protocols (surface or intracellular depending on target)
Set sorting gates based on appropriate controls
Collect cells in media containing serum to enhance viability
For intracellular targets, consider reporter systems instead, as fixation/permeabilization compromises downstream viability
Magnetic-Activated Cell Sorting (MACS):
Use SPBC18H10.17c Antibody followed by anti-species secondary antibody conjugated to magnetic beads
For surface markers, perform selection on live cells
For intracellular targets, fixation and permeabilization are required, limiting downstream applications
Bead-Based Isolation:
Couple SPBC18H10.17c Antibody to activated beads using commercial conjugation kits
Optimize antibody concentration and bead-to-cell ratio
Elute bound cells using appropriate buffers for downstream applications
Antibody-Based Purification of Secreted Products:
For secreted targets, implement antibody-based affinity purification
Use column chromatography with immobilized antibody
Optimize elution conditions to maintain target functionality
Post-isolation considerations include assessing purity by flow cytometry, confirming viability with appropriate dyes, and validating that the isolation procedure hasn't altered the biological properties of interest in the isolated cell population.
Comprehensive validation of SPBC18H10.17c Antibody across experimental techniques is essential for research reliability. Specific validation protocols include:
For Flow Cytometry Validation:
Titrate antibody using 2-fold serial dilutions to determine optimal concentration
Compare staining between positive and negative control samples
Perform blocking experiments with unlabeled antibody or purified antigen
Evaluate performance in samples with known target expression patterns
Assess stability over time under various storage conditions
For Western Blot Validation:
Test multiple sample preparation methods (RIPA, NP-40, etc.)
Include positive and negative control lysates
Perform peptide competition assays to confirm specificity
Compare reducing vs. non-reducing conditions if target contains disulfide bonds
Test membrane blocking protocols to minimize background
For Immunoprecipitation Validation:
Optimize antibody-to-beads ratio
Compare direct coupling vs. indirect capture methods
Verify pull-down efficiency using Western blot
Confirm identity of precipitated proteins by mass spectrometry
Assess capacity to co-immunoprecipitate known interaction partners
For Functional Assays:
Evaluate neutralizing capacity in cellular assays
Compare with established neutralizing antibodies when available
Determine dose-response relationships
Assess impact on downstream signaling pathways
Confirm specificity using genetic knockout models
These validation approaches should be documented thoroughly with appropriate controls and replicates to establish the antibody's performance characteristics across experimental systems.
When interpreting data generated with SPBC18H10.17c Antibody that conflicts with published literature, researchers should implement a structured analytical approach:
Methodological Differences Assessment:
Compare antibody clones, formats, and sources across studies
Analyze differences in experimental protocols (fixation, permeabilization, staining conditions)
Evaluate disparities in detection methods and instrumentation
Consider cell type or model system variations
Biological Context Evaluation:
Assess differences in activation or differentiation states
Consider microenvironmental factors affecting target expression
Evaluate genetic background differences between experimental systems
Account for potential post-translational modifications affecting epitope recognition
Technical Validation Strategy:
Implement orthogonal detection methods to confirm findings
Use genetic approaches (knockout/knockdown) for definitive validation
Perform side-by-side comparisons with reagents used in conflicting studies
Collaborate with authors of conflicting studies when possible
Statistical and Reproducibility Analysis:
Evaluate statistical power and sample sizes across studies
Assess reproducibility through independent experimental replicates
Consider biological vs. technical variability contributions
Implement robust statistical methods appropriate for the data type
Integrate Multi-Dimensional Data:
Correlate protein detection with functional outcomes
Combine with transcriptional data for comprehensive understanding
Consider systems biology approaches to contextualize conflicting findings
Develop testable hypotheses to resolve apparent contradictions
Through this systematic approach, researchers can contextualize their findings within the broader scientific literature and contribute constructively to resolving conflicts in the field.
Several emerging technologies show promise for enhancing or potentially replacing traditional antibody-based detection methods in future research:
Single-Domain Antibody Engineering: The development of camelid-derived VHH domains enables novel antibody architectures with unique properties. These smaller antibody fragments offer greater tissue penetration and can be engineered into complex multi-specific formats with tailored functional properties .
Synthetic Binding Proteins: Non-antibody scaffolds such as DARPins, Affibodies, and Monobodies provide alternatives with potentially superior stability and manufacturing characteristics compared to traditional antibodies.
CRISPR-Based Detection: CRISPR-Cas systems adapted for protein detection (e.g., SHERLOCK, DETECTR) offer programmable recognition of specific biomolecules with high sensitivity.
Aptamer Technology: DNA or RNA aptamers selected for target binding can replace antibodies in many applications, offering advantages in terms of synthesis, modification, and stability.
Mass Cytometry (CyTOF): Metal-labeled antibodies enable simultaneous detection of dozens of parameters without fluorescence spillover concerns, dramatically increasing the dimensionality of single-cell analyses.
Advanced Bispecific Formats: Engineering antibodies that simultaneously target multiple epitopes can generate reagents with novel functionalities, such as cytokine mimetics that activate signaling pathways independent of the natural ligand .
In situ Sequencing Technologies: Methods for detecting proteins directly in tissues with spatial resolution could complement or replace traditional antibody-based imaging approaches.
These technologies represent promising directions for advancing detection methods beyond current antibody capabilities, potentially enabling new experimental approaches with enhanced sensitivity, specificity, and functionality.
Optimizing experimental design with SPBC18H10.17c Antibody requires thoughtful planning across multiple dimensions:
Hypothesis-Driven Framework:
Clearly define research questions before selecting detection methods
Determine whether descriptive or functional analyses are primary goals
Design experiments with appropriate statistical power for expected effect sizes
Control Implementation Strategy:
Include isotype controls matched to antibody class and fluorochrome
Implement biological controls (stimulated/unstimulated, knockout/wild-type)
Consider fluorescence minus one (FMO) controls for multiparameter analyses
Validate findings using orthogonal methods when possible
Temporal Considerations:
Establish optimal time points for target detection post-stimulation
Consider kinetic analyses for dynamic processes
Ensure consistency in sample collection and processing timing
Combinatorial Approaches:
Integrate antibody detection with functional readouts
Combine with transcriptional analysis for correlation studies
Consider multiplexed detection systems for comprehensive profiling
Implement single-cell approaches when heterogeneity is expected
Translational Relevance:
Design experiments that bridge basic findings to clinical applications
Consider physiologically relevant conditions and concentrations
Balance mechanistic depth with breadth of biological contexts
By implementing these optimization strategies, researchers can maximize the value of SPBC18H10.17c Antibody in generating robust, reproducible, and biologically meaningful data that advances the field's understanding of immunological processes.
For long-term studies using SPBC18H10.17c Antibody, implementing rigorous quality control measures is essential to ensure data consistency and reliability:
Antibody Inventory Management:
Document lot numbers and expiration dates
Reserve sufficient antibody from single lots for critical experiments
Perform comparative testing between lots before transitioning
Store aliquots under optimal conditions to minimize freeze-thaw cycles
Regular Validation Protocols:
Implement scheduled revalidation of antibody performance
Test with established positive controls at regular intervals
Monitor signal-to-noise ratios for potential degradation
Track staining index over time for flow cytometry applications
Instrument Standardization:
Establish and maintain consistent instrument settings
Use calibration beads to normalize cytometer performance
Implement quality control particles for day-to-day variability assessment
Document instrument maintenance and calibration history
Reference Sample Banking:
Cryopreserve reference samples for comparative analyses
Create stabilized control samples where possible
Maintain a library of standard images or flow files
Consider lyophilized or fixed standards for long-term comparisons
Documentation and Protocol Standardization:
Maintain detailed standard operating procedures
Document any protocol modifications with justification
Implement electronic laboratory notebooks for consistent recording
Establish minimum reporting standards for experimental conditions