SPBC2D10.19c Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
SPBC2D10.19cUncharacterized protein C2D10.19c antibody
Target Names
SPBC2D10.19c
Uniprot No.

Target Background

Database Links
Protein Families
ALB1 family
Subcellular Location
Nucleus, nucleolus.

Q&A

What is SPBC2D10.19c and why are antibodies against it important for research?

SPBC2D10.19c is a gene identifier for a protein found in the fission yeast Schizosaccharomyces pombe. Antibodies targeting this protein are valuable research tools for investigating protein function, localization, and interactions in fundamental cellular processes. Similar to antibodies used in coronavirus research, SPBC2D10.19c antibodies allow researchers to detect specific protein epitopes with high sensitivity . These antibodies can be used in various applications including western blotting, immunoprecipitation, and immunofluorescence microscopy to study protein expression patterns and biochemical properties.

The importance of such research antibodies lies in their ability to specifically recognize target antigens, similar to how antibodies against SARS-CoV-2 proteins enable detailed characterization of viral components . Proper validation of antibody specificity is critical, as demonstrated in studies of coronavirus antibodies where cross-reactivity must be carefully assessed to ensure experimental validity.

How should SPBC2D10.19c antibody be stored and handled to maintain its activity?

Optimal storage and handling of SPBC2D10.19c antibody is essential for maintaining its specificity and sensitivity. Store the antibody at -20°C for long-term storage or at 4°C for up to one month after initial use. Avoid repeated freeze-thaw cycles by aliquoting the antibody into smaller volumes before freezing. Studies of monoclonal antibodies demonstrate that improper storage can lead to aggregation and loss of binding capacity .

When handling the antibody:

  • Always use clean pipette tips and sterile tubes

  • Centrifuge the antibody vial briefly before opening to collect liquid at the bottom

  • Avoid introducing contaminants that could degrade the antibody

  • Record freeze-thaw cycles and monitor for any changes in performance

These handling practices mirror those used for therapeutic monoclonal antibodies, where stability is carefully monitored to maintain consistent activity . Regular quality control testing using positive controls can help detect any decline in antibody performance over time.

What are the most common applications for SPBC2D10.19c antibody in S. pombe research?

SPBC2D10.19c antibody serves multiple research applications in S. pombe studies, each providing unique insights into protein function:

ApplicationPurposeTypical Dilution RangeKey Considerations
Western BlottingProtein expression quantification1:1000-1:5000Reducing vs. non-reducing conditions
ImmunoprecipitationProtein-protein interaction studies1:50-1:200Buffer compatibility
ImmunofluorescenceSubcellular localization1:100-1:500Fixation method optimization
ChIPDNA-protein interaction analysis1:50-1:100Crosslinking conditions
Flow CytometryCell population analysis1:50-1:200Live vs. fixed cells

The application diversity mirrors that seen in studies of coronavirus antibodies, where different detection methods reveal distinct aspects of protein biology . Each application requires specific optimization steps, including titration experiments to determine the optimal antibody concentration that maximizes signal while minimizing background.

How can SPBC2D10.19c antibody be used to study protein-protein interactions in complex cellular contexts?

For advanced protein-protein interaction studies, SPBC2D10.19c antibody can be employed in sophisticated proximity-based assays and multi-omics approaches. Co-immunoprecipitation followed by mass spectrometry represents a powerful strategy for identifying interaction partners. This approach allows researchers to capture not only direct binding partners but also components of larger protein complexes.

Similar to strategies used for studying internal viral proteins described in the Sarkar et al. study, the experimental workflow should include :

  • Optimization of cell lysis conditions to preserve native protein interactions

  • Pre-clearing of lysates to reduce non-specific binding

  • Careful selection of appropriate controls including IgG controls and target protein knockout samples

  • Gentle washing conditions to maintain weak but specific interactions

  • Validation of identified interactions through reciprocal co-immunoprecipitation experiments

Advanced techniques like proximity labeling (BioID or APEX) can complement traditional co-immunoprecipitation by allowing researchers to identify transient or context-dependent interactions. These methods involve expressing the protein of interest fused to a biotin ligase, which biotinylates nearby proteins that can then be captured using streptavidin and identified by mass spectrometry.

What strategies can improve specificity when using SPBC2D10.19c antibody for chromatin immunoprecipitation (ChIP) experiments?

Achieving high specificity in ChIP experiments with SPBC2D10.19c antibody requires careful optimization of multiple parameters. This is particularly important given the challenges of antibody specificity highlighted in studies of cross-reactive antibodies .

For optimal ChIP results:

  • Validate antibody specificity using knockout or depletion controls to confirm the absence of signal when the target protein is not present

  • Perform preliminary immunoprecipitation experiments to confirm the antibody can effectively pull down the target protein

  • Optimize crosslinking conditions—typically 1% formaldehyde for 10-15 minutes for most proteins, but this may vary

  • Test different sonication conditions to achieve chromatin fragments of 200-500bp

  • Include multiple controls:

    • Input control (non-immunoprecipitated chromatin)

    • IgG control (non-specific antibody of the same isotype)

    • Positive control region (known binding site)

    • Negative control region (known non-binding site)

Deep antibody profiling techniques, similar to those used by Das et al., can be adapted to assess multiple aspects of antibody performance including epitope specificity, which is crucial for ChIP applications . The adoption of standardized ChIP-seq workflows can further improve reproducibility across experiments.

How can phospho-specific variants of SPBC2D10.19c antibody be generated and validated?

Generating phospho-specific antibodies against SPBC2D10.19c requires a systematic approach similar to the antibody development strategies described for COVID-19 monoclonal antibodies .

The process involves:

  • Bioinformatic analysis to identify likely phosphorylation sites based on consensus sequences and conservation

  • Synthesis of phosphopeptides corresponding to each site of interest

  • Conjugation of phosphopeptides to carrier proteins (e.g., KLH)

  • Immunization of host animals and screening for phospho-specific responses

  • Rigorous validation through:

    • Peptide competition assays with phosphorylated and non-phosphorylated peptides

    • Western blot analysis of samples treated with and without phosphatase

    • Comparison of signals from wild-type protein and phospho-site mutants

Validation is particularly critical, as cross-reactivity with non-phosphorylated epitopes or other phosphorylated proteins can lead to misinterpretation of results. The multiplexed antibody profiling platform developed by Sarkar could be adapted to comprehensively characterize phospho-specific antibodies, analyzing antigen specificity, effector function, and post-translational modifications .

What controls are essential when using SPBC2D10.19c antibody for the first time in a new experimental system?

When using SPBC2D10.19c antibody in a new experimental system, comprehensive controls are essential to ensure valid and interpretable results:

Control TypePurposeImplementation
Genetic Knockout/KnockdownVerify antibody specificityUse CRISPR-Cas9 or RNAi to remove target protein
OverexpressionConfirm detection capabilityExpress tagged version of the protein
Secondary Antibody OnlyAssess background from secondary antibodyOmit primary antibody from protocol
Blocking PeptideEvaluate epitope specificityPre-incubate antibody with immunizing peptide
Cross-Species/TissueTest cross-reactivityApply antibody to samples known to lack target
Positive ControlConfirm assay functionalityUse sample known to express target protein

These control strategies reflect best practices described in antibody validation studies . The importance of such validation was highlighted in research on cross-reactive antibodies against coronavirus proteins, where distinguishing specific from non-specific signals was crucial for accurate interpretation .

For quantitative applications, include a standard curve using recombinant protein when possible. Document all experimental conditions meticulously, including antibody lot number, dilution, incubation time and temperature to ensure reproducibility across experiments.

How should researchers optimize immunofluorescence protocols for SPBC2D10.19c antibody in fission yeast?

Optimizing immunofluorescence protocols for SPBC2D10.19c antibody in S. pombe requires attention to the unique characteristics of fission yeast cells:

Similar to the microscale antibody profiling platform described by Sarkar, a systematic matrix-based approach to testing multiple conditions simultaneously can efficiently identify optimal parameters . Document all optimization steps thoroughly to create a reproducible protocol for future experiments.

What are the best approaches for quantifying SPBC2D10.19c protein expression using western blotting?

Accurate quantification of SPBC2D10.19c protein expression by western blotting requires careful attention to multiple technical parameters:

  • Sample preparation standardization:

    • Consistent cell lysis methodology

    • Determination of protein concentration using Bradford or BCA assay

    • Equal loading of 10-30 μg total protein per lane

    • Inclusion of phosphatase/protease inhibitors if studying post-translational modifications

  • Normalization strategy selection:

    • Use housekeeping proteins (e.g., GAPDH, β-actin, tubulin) with verification that their expression doesn't change under experimental conditions

    • Consider total protein normalization using stain-free technology or Ponceau S staining

    • Include recombinant protein standards for absolute quantification

  • Dynamic range optimization:

    • Use gradient gels if target and reference proteins differ significantly in size

    • Optimize exposure times to ensure signal is within linear range

    • Consider fluorescent secondary antibodies for wider dynamic range

  • Data analysis approach:

    • Employ analysis software that performs lane profile analysis

    • Apply background subtraction consistently across all samples

    • Calculate relative density ratios to reference proteins or standards

Similar to the quantitative approaches used in profiling SARS-CoV-2 antibody responses, statistical rigor should be applied when comparing protein levels across conditions . Technical replicates (minimum of three) and biological replicates (from independent experiments) are essential for robust quantification.

What are common causes of non-specific binding when using SPBC2D10.19c antibody, and how can they be addressed?

Non-specific binding is a significant challenge when working with research antibodies, including those targeting SPBC2D10.19c. The cross-reactivity issues observed in studies of SARS-CoV-2 antibodies offer valuable insights for addressing similar problems .

Common causes and solutions include:

Cause of Non-specific BindingTroubleshooting Approach
Insufficient blockingIncrease blocking time (1-2 hours) or concentration (3-5% BSA/milk); test alternative blockers
High antibody concentrationPerform titration experiments; typically start with 1:1000 dilution and adjust as needed
Sample overloadingReduce protein amount (10-20 μg for western blot) to improve signal-to-noise ratio
Cross-reactive epitopesPre-absorb antibody with related proteins or tissues; use peptide competition assays
Inappropriate buffer conditionsOptimize salt concentration (150-500 mM NaCl) and detergent levels (0.05-0.5% Tween-20)
Detection system sensitivityAdjust exposure time; consider less sensitive detection methods if background is high

Methodical troubleshooting inspired by the antibody characterization work of Das et al. can identify the specific causes of non-specific binding in your experimental system . Document all optimization steps and once optimal conditions are established, maintain consistent protocols to ensure reproducibility.

How can researchers assess and improve batch-to-batch consistency of SPBC2D10.19c antibodies?

Batch-to-batch variation is a significant concern for research antibodies and can impact experimental reproducibility. The lessons from monoclonal antibody development for therapeutics provide valuable strategies for academic researchers :

  • Implement comprehensive testing protocol:

    • Compare titers using serial dilution ELISA against recombinant target protein

    • Assess specificity using western blotting with positive and negative control samples

    • Evaluate functionality in each application (IP, IF, etc.) using standardized protocols

    • Document binding characteristics including apparent affinity and epitope recognition

  • Maintain reference standards:

    • Keep aliquots of well-characterized antibody batches as internal standards

    • Create standard operating procedures for comparative testing

    • Consider generating stable cell lines expressing the target protein at defined levels

  • Apply statistical quality control metrics:

    • Calculate coefficient of variation across batches for quantitative applications

    • Establish acceptance criteria for new batches (e.g., within 20% of reference standard)

    • Use Levey-Jennings charts to track antibody performance over time

  • Develop mitigation strategies:

    • Purchase larger quantities of validated batches when possible

    • Consider monoclonal alternatives if polyclonal variation is problematic

    • Document batch numbers in all publications and maintain batch-specific protocols if necessary

The cell-line development and quality control strategies outlined in the review of COVID-19 monoclonal antibody development provide a model for rigorous approach to antibody consistency .

What strategies can address epitope masking issues when the SPBC2D10.19c protein is in complexes or modified states?

Epitope masking occurs when protein conformations, interactions, or modifications prevent antibody access to its target epitope. This challenge parallels the issues encountered in detecting internal viral proteins versus surface proteins as described in the Pitt/Georgia Tech study .

To address epitope masking:

  • Sample preparation optimization:

    • Test multiple lysis buffers with varying detergent strengths (RIPA vs. NP-40 vs. digitonin)

    • Evaluate different fixation methods for microscopy (cross-linking vs. precipitative)

    • Consider native vs. denaturing conditions based on epitope location (conformational vs. linear)

  • Epitope retrieval techniques:

    • For fixed samples: heat-induced epitope retrieval (95-100°C, 5-20 minutes in appropriate buffer)

    • For formalin-fixed samples: protease treatment (trypsin, proteinase K) to expose hidden epitopes

    • For protein complexes: brief sonication or inclusion of chaotropic agents at low concentrations

  • Alternative detection strategies:

    • Generate antibodies against multiple epitopes on the same protein

    • Consider N-terminal and C-terminal tag approaches as complementary methods

    • Employ proximity labeling techniques that don't rely on direct epitope recognition

  • Modification-specific approaches:

    • For phosphorylation studies: test λ-phosphatase treatment to confirm phospho-specificity

    • For glycoproteins: evaluate enzymatic deglycosylation to improve epitope accessibility

    • For ubiquitinated targets: include deubiquitinase inhibitors in lysis buffers

The deep antibody profiling approach described by Das et al. could be adapted to systematically evaluate antibody performance under different sample preparation conditions, providing a comprehensive understanding of epitope accessibility .

How should researchers interpret unexpected molecular weight variations of SPBC2D10.19c in western blots?

Unexpected molecular weight variations in western blots can provide valuable biological insights rather than simply indicating technical problems. When SPBC2D10.19c appears at unexpected molecular weights, consider these possible biological explanations:

  • Post-translational modifications:

    • Phosphorylation typically adds ~80 Da per site but can cause larger apparent shifts

    • Glycosylation can add 2-5 kDa (N-linked) or variable mass (O-linked)

    • Ubiquitination adds ~8.5 kDa per ubiquitin moiety

    • SUMOylation adds ~11-12 kDa per SUMO group

  • Proteolytic processing:

    • Compare observed weights with predicted cleavage sites

    • Consider cell-cycle dependent or stress-induced processing

    • Test protease inhibitor cocktails during sample preparation

  • Alternative splicing:

    • Review database annotations for predicted splice variants

    • Design PCR primers to confirm expression of alternative transcripts

    • Compare migration patterns across different tissues/conditions known to exhibit splicing differences

  • Protein complexes:

    • Test reducing vs. non-reducing conditions to identify disulfide-mediated interactions

    • Vary sample heating time/temperature to detect heat-stable complexes

    • Consider mild detergent conditions to preserve physiologically relevant interactions

The antibody analysis methods used in COVID-19 research demonstrate how variations in antibody binding patterns can reveal important biological phenomena rather than just technical artifacts . Document all observations systematically and design follow-up experiments to distinguish between technical and biological sources of molecular weight variation.

Quantitative assessment of cross-reactivity is crucial for accurately interpreting results, particularly in comparative studies across species. The methodology used to study cross-reactivity of SARS-CoV-2 antibodies provides an excellent framework :

  • Sequence-based prediction:

    • Perform multiple sequence alignment of SPBC2D10.19c homologs across species

    • Calculate percent identity at the epitope region

    • Identify conserved and divergent residues that might affect binding

  • Recombinant protein analysis:

    • Express recombinant versions of homologous proteins

    • Perform quantitative ELISA with serial dilutions of antibody

    • Calculate EC50 values to determine relative binding affinities

    • Create a cross-reactivity profile as shown in this example table:

SpeciesProtein HomologEpitope Identity (%)Relative Binding Affinity (%)Detection Threshold (ng)
S. pombeSPBC2D10.19c1001000.5
S. cerevisiaeYXX185601.2
C. albicansCXX270303.5
H. sapiensHXX345<5>50
  • Cellular validation:

    • Test antibody on cells from different species under identical conditions

    • Perform side-by-side western blot analysis with equal protein loading

    • Quantify signal intensity normalized to total protein

  • Advanced cross-reactivity mapping:

    • Create epitope mutants with alanine scanning or species-specific substitutions

    • Develop a quantitative binding map to identify critical residues for recognition

    • Use surface plasmon resonance to determine binding kinetics (kon/koff rates)

The methodological approach used for characterizing cross-reactive antibodies against SARS-CoV-2 and gut bacteria exemplifies how systematic analysis can reveal the extent and significance of antibody cross-reactivity . This knowledge is essential for accurately interpreting results from cross-species studies and avoiding misattribution of signals.

What emerging technologies are likely to enhance the utility of SPBC2D10.19c antibody in future research?

Emerging technologies are poised to significantly expand the research applications of antibodies like those targeting SPBC2D10.19c. Drawing from advances in antibody-based research for infectious diseases , several promising approaches stand out:

  • Single-cell antibody-based proteomics:

    • Methods like CITE-seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing) that combine antibody detection with single-cell RNA sequencing

    • Spatial proteomics using multiplexed antibody-based imaging to maintain tissue context

    • High-dimensional cytometry combining dozens of antibodies for comprehensive phenotyping

  • Engineered antibody derivatives:

    • Nanobodies and single-chain antibodies with enhanced tissue penetration

    • Bispecific antibodies that can simultaneously target SPBC2D10.19c and another protein of interest

    • Antibody-based proximity labeling tools for identifying context-specific protein interactions

  • Advanced imaging applications:

    • Super-resolution microscopy-optimized antibodies with minimal linkage error

    • Split-fluorescent protein complementation for detecting protein interactions in living cells

    • Expansion microscopy compatible antibodies for enhanced spatial resolution

  • Computational approaches:

    • Machine learning algorithms for predicting optimal antibody conditions

    • Automated image analysis pipelines for quantitative immunofluorescence

    • Structural biology integration to relate epitope binding to protein function

The microscale antibody profiling platform described by Sarkar et al. demonstrates how emerging technologies can provide unprecedented depth of analysis for antibody characteristics and function . As these technologies mature, they will enable increasingly sophisticated studies of protein biology using antibodies like those targeting SPBC2D10.19c.

How should researchers integrate antibody-based findings with other methodologies to build comprehensive models of SPBC2D10.19c function?

Building comprehensive functional models requires integration of antibody-based findings with complementary methodologies, similar to the multi-faceted approaches used in COVID-19 antibody research :

  • Multi-omics integration framework:

    • Combine antibody-based protein localization/interaction data with transcriptomics

    • Integrate proteomics data to identify post-translational modifications

    • Correlate with metabolomics to link protein function to cellular metabolism

    • Incorporate chromatin accessibility and DNA binding information for regulatory proteins

  • Functional validation strategies:

    • Design genetic perturbation experiments based on antibody-identified interactions

    • Develop mutants affecting key regions identified by epitope mapping

    • Create structure-function hypotheses informed by antibody accessibility patterns

    • Establish in vitro systems to test biochemical activities

  • Computational modeling approaches:

    • Build protein interaction networks centered on SPBC2D10.19c

    • Implement Bayesian integration of multiple data types

    • Develop predictive models of protein function in various cellular contexts

    • Use evolutionary analysis to identify conserved functional domains

  • Visualization and communication strategies:

    • Create integrated data visualizations combining multiple experimental approaches

    • Develop standardized data sharing formats for antibody-based research

    • Implement FAIR (Findable, Accessible, Interoperable, Reusable) principles for all data

The approach demonstrated in the combined antibody profiling studies shows how integration of multiple analytical dimensions can yield insights not available from any single methodology . Similar integration strategies for SPBC2D10.19c research would enable development of comprehensive functional models that account for contextual variation and dynamic regulation.

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