SPAC14C4.04 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
SPAC14C4.04 antibody; Uncharacterized protein C14C4.04 antibody
Target Names
SPAC14C4.04
Uniprot No.

Q&A

What is SPAC14C4.04 and why is it important in research?

SPAC14C4.04 refers to a gene in Schizosaccharomyces pombe (fission yeast) that encodes proteins significant for cellular functions. Antibodies targeting this protein are valuable tools for studying protein localization, expression levels, and protein-protein interactions in S. pombe.

When developing experimental approaches using SPAC14C4.04 antibodies, researchers should consider:

  • The specific epitopes being targeted

  • Cross-reactivity with related proteins

  • Detection sensitivity across different experimental conditions

  • Validation methods to confirm specificity

Similar to approaches used with other target-specific antibodies, validation through multiple techniques is essential to establish reliability for downstream applications .

How should I validate a SPAC14C4.04 antibody before using it in my experiments?

Proper antibody validation requires a multi-step approach to ensure specificity and reproducibility:

  • Western blot analysis using wild-type and SPAC14C4.04 knockout/knockdown samples

  • Immunoprecipitation followed by mass spectrometry to confirm target binding

  • Immunofluorescence with appropriate controls to verify cellular localization

  • ELISA testing to determine binding affinity and specificity

Comprehensive validation should follow a workflow similar to that used for other research antibodies, where multiple methodologies confirm the same target recognition patterns . When contradictory results emerge between techniques, this often indicates potential cross-reactivity issues that require further investigation through epitope mapping or competitive binding assays.

What are the optimal storage conditions for maintaining SPAC14C4.04 antibody activity?

To preserve antibody functionality:

  • Store concentrated antibody stocks at -80°C for long-term storage

  • Keep working aliquots at -20°C to minimize freeze-thaw cycles

  • For short-term use (1-2 weeks), store at 4°C with appropriate preservatives

  • Avoid repeated freeze-thaw cycles (limit to <5) to prevent antibody degradation

Studies have shown that proper storage conditions can extend antibody shelf-life by 6-12 months, while improper handling can reduce activity by up to 50% within weeks .

What are the recommended protocols for immunoprecipitation using SPAC14C4.04 antibodies?

Effective immunoprecipitation with SPAC14C4.04 antibodies requires careful optimization:

  • Cell lysis buffer selection:

    • For membrane-associated variants: Use buffers containing 1% NP-40 or Triton X-100

    • For nuclear variants: Include 0.1-0.5% SDS in the buffer composition

    • Always include protease inhibitors freshly before use

  • Antibody coupling:

    • Pre-couple antibodies to protein A/G beads (2-5 μg antibody per 50 μl bead slurry)

    • Allow coupling for at least 1 hour at room temperature

    • Cross-link for stable coupling using BS3 or DMP when needed

  • Incubation conditions:

    • Optimal protein:antibody ratio typically ranges from 10:1 to 100:1

    • Incubate 4-16 hours at 4°C with gentle rotation

    • Perform stringent washing (at least 4-5 washes) to reduce background

  • Elution methods:

    • Acidic elution (0.1M glycine, pH 2.5-3.0) for most applications

    • SDS sample buffer for direct SDS-PAGE analysis

    • Peptide competition for native elution

This protocol structure follows the methodological approach described for other specialized antibodies in immunoprecipitation experiments .

How can I troubleshoot weak signals in Western blots using SPAC14C4.04 antibodies?

When facing weak signal issues, consider the following optimization strategies:

ProblemPotential CauseSolution
Weak band intensityLow antibody concentrationIncrease antibody concentration (1:500 to 1:100)
No visible bandsEpitope maskingTry different blocking agents (switch from milk to BSA)
High backgroundNon-specific bindingInclude 0.1-0.5% Tween-20 in washing buffer
Signal variabilitySample degradationAdd additional protease inhibitors to lysis buffer
Multiple bandsCross-reactivityPerform peptide competition assay to identify specific bands

For optimal results, extended blocking times (2-3 hours) and primary antibody incubation at 4°C overnight often improve signal quality for low-abundance targets like SPAC14C4.04 .

What controls should be included when using SPAC14C4.04 antibodies for immunofluorescence?

A rigorous immunofluorescence experiment should include these essential controls:

  • Negative controls:

    • Secondary antibody-only control to assess background

    • Isotype control antibody (same species and isotype as SPAC14C4.04 antibody)

    • SPAC14C4.04 knockout or knockdown samples when available

  • Positive controls:

    • Samples with known SPAC14C4.04 overexpression

    • Co-staining with established markers of the expected subcellular localization

  • Validation controls:

    • Peptide competition assay to confirm specificity

    • Comparison with GFP-tagged SPAC14C4.04 localization

    • Multiple antibodies targeting different epitopes of SPAC14C4.04

When analyzing immunofluorescence data, quantifying signal intensity across multiple cells (n>30) and comparing to established markers provides more reliable results than qualitative assessment alone .

How can computational approaches enhance SPAC14C4.04 antibody design and application?

Advanced computational methods significantly improve antibody development and application:

  • Epitope prediction and modeling:

    • Using AlphaFold2 to model SPAC14C4.04 protein structure

    • Applying computational alanine scanning to identify potential epitopes

    • Molecular docking to predict antibody-antigen interactions

  • Antibody redesign protocol:

    • Application of the IsAb computational protocol for antibody optimization

    • Refinement of binding poses using SnugDock algorithms

    • Affinity maturation simulations to improve binding properties

  • Data-driven optimization:

    • Leveraging the Antigen-Antibody Complex Database (AACDB) for structural insights

    • Analysis of similar antibody-antigen interfaces to guide design

    • Predicting antibody developability issues through computational screening

These computational approaches can reduce experimental iterations by 30-50% and increase successful antibody development by identifying optimal epitopes and binding configurations before wet-lab validation begins .

What are the methodological differences between polyclonal and monoclonal SPAC14C4.04 antibody generation?

The generation of polyclonal versus monoclonal antibodies involves distinct methodological considerations:

Polyclonal SPAC14C4.04 Antibodies:

  • Generated through immunization of animals (typically rabbits) with SPAC14C4.04 peptides or recombinant proteins

  • Require careful antigen design to avoid conserved domains shared with related proteins

  • Offer recognition of multiple epitopes, increasing detection sensitivity

  • Purification through affinity chromatography against the immunizing antigen

  • Batch-to-batch variation requires extensive quality control

Monoclonal SPAC14C4.04 Antibodies:

  • Developed through hybridoma technology or phage display methods

  • Screening typically requires testing 50-100 clones for optimal specificity

  • Single-epitope recognition provides consistent specificity but potentially lower sensitivity

  • High-throughput screening approaches can be applied using single-cell RNA-seq methods

  • Clone selection criteria should include affinity, specificity, and application performance

How can I develop an antibody competition binding assay to study SPAC14C4.04 interactions?

Developing a robust antibody competition binding assay involves these methodological steps:

  • Assay design:

    • Select a capture antibody recognizing a different epitope from the competing antibodies

    • Optimize coating conditions for maximum antigen capture

    • Determine optimal detection method (direct labeling vs. secondary detection)

  • Standardization:

    • Establish a standard curve using purified SPAC14C4.04 protein

    • Determine the EC50 for each competing antibody

    • Calculate inhibition constants across multiple concentrations

  • Validation:

    • Confirm specificity through cross-competition with unrelated antibodies

    • Verify results against other binding assays (SPR, BLI)

    • Test assay reproducibility across different protein preparations

  • Data analysis:

    • Plot competition curves as percent inhibition vs. log concentration

    • Apply four-parameter logistic regression for curve fitting

    • Calculate IC50 values for quantitative comparison

This methodology can reveal distinct epitope binding profiles and has been successfully applied to identify protective antibodies in other biological systems .

What approaches can resolve contradictory results between different applications of SPAC14C4.04 antibodies?

When facing contradictory results across different applications, implement this systematic troubleshooting approach:

  • Verify antibody integrity:

    • Check for degradation through SDS-PAGE analysis

    • Confirm binding activity through direct ELISA

    • Assess aggregation status through DLS or SEC

  • Evaluate experimental conditions:

    • Compare fixation methods (PFA vs. methanol) for effects on epitope accessibility

    • Assess buffer composition effects on antibody binding

    • Test detergent effects on membrane protein solubilization

  • Conduct epitope mapping:

    • Perform peptide array analysis to identify precise binding regions

    • Compare linear vs. conformational epitope recognition

    • Evaluate sensitivity to post-translational modifications

  • Cross-validate with orthogonal methods:

    • Compare antibody results with genetic tagging approaches

    • Validate with targeted mass spectrometry

    • Implement CRISPR knockout controls for specificity confirmation

Systematic analysis often reveals that discrepancies stem from context-dependent epitope accessibility or changes in protein interactions across different experimental conditions, rather than antibody specificity issues .

How can high-throughput sequencing enhance SPAC14C4.04 antibody development?

High-throughput sequencing technologies revolutionize antibody development through:

  • Repertoire analysis:

    • Next-generation sequencing of B cell populations after immunization

    • Identification of clonally expanded sequences responding to SPAC14C4.04

    • Computational filtering to select optimal candidates

  • Single-cell approaches:

    • Paired heavy and light chain sequencing from individual B cells

    • Correlation of sequence features with binding properties

    • Direct expression of selected clones without hybridoma development

  • Affinity maturation tracking:

    • Monitoring somatic hypermutation progression during immune response

    • Identifying natural affinity-enhancing mutations

    • Guiding directed evolution strategies in vitro

Research implementing these approaches has demonstrated the ability to identify hundreds of antigen-binding clonotypes from immunized subjects, with the top candidates often showing nanomolar affinity for their targets .

What are the methodological considerations for using SPAC14C4.04 antibodies in CyTOF and other advanced single-cell applications?

When applying SPAC14C4.04 antibodies to advanced single-cell technologies:

  • Metal conjugation for CyTOF:

    • Select antibodies free from carrier proteins for optimal conjugation

    • Validate signal after metal labeling to ensure retained specificity

    • Titrate antibody concentration specifically for CyTOF applications

    • Include barcoding strategies for batch correction

  • Antibody panel design:

    • Test for spectral overlap or metal isotope impurities

    • Validate antibody combinations for potential steric hindrance

    • Include appropriate isotype controls for each metal channel

  • Sample preparation optimization:

    • Compare fixation methods for epitope preservation

    • Evaluate permeabilization conditions for intracellular targets

    • Optimize staining buffer composition to minimize background

  • Data analysis considerations:

    • Implement doublet exclusion and live/dead discrimination

    • Apply dimensionality reduction techniques (t-SNE, UMAP)

    • Establish quantitative thresholds based on control populations

Proper optimization can increase detection sensitivity by 2-3 fold compared to standard protocols, particularly for low-abundance targets in complex cellular systems .

How can I integrate SPAC14C4.04 antibody data with other -omics datasets for comprehensive pathway analysis?

Integrating antibody-derived data with other -omics approaches requires careful methodological consideration:

  • Data normalization strategies:

    • Select appropriate housekeeping controls for relative quantification

    • Apply batch correction algorithms for multi-experiment integration

    • Establish data transformation approaches for cross-platform comparison

  • Integration workflows:

    • Correlate protein expression (antibody data) with transcriptomic profiles

    • Map protein-protein interactions to pathway databases

    • Overlay post-translational modifications from mass spectrometry

  • Network analysis approaches:

    • Construct protein interaction networks centered on SPAC14C4.04

    • Identify functional modules through community detection algorithms

    • Apply causal inference methods to establish directional relationships

  • Visualization methods:

    • Develop multi-omics visualization dashboards

    • Implement interactive network exploration tools

    • Create hierarchical clustering of integrated datasets

Integrated approaches have revealed that protein expression levels (detected by antibodies) correlate with mRNA levels at coefficients of 0.4-0.6, highlighting the importance of post-transcriptional regulation that can only be studied through protein-level analysis .

What are the emerging applications of SPAC14C4.04 antibodies in systems biology research?

As systems biology continues to evolve, SPAC14C4.04 antibodies find application in several cutting-edge areas:

  • Spatial proteomics:

    • Multiplexed imaging to map protein localization in subcellular compartments

    • Correlation of spatial patterns with functional outcomes

    • Integration with super-resolution microscopy for nanoscale resolution

  • Temporal dynamics:

    • Live-cell imaging using intrabodies derived from SPAC14C4.04 antibodies

    • Pulse-chase experiments to track protein turnover rates

    • Stimulus-response studies to capture pathway activation kinetics

  • Multi-modal phenotyping:

    • Combined antibody-based detection with functional assays

    • Integration of morphological, biochemical, and genetic data

    • Machine learning approaches for phenotypic classification

These advanced applications benefit from continued refinement of antibody specificity and sensitivity, with recent technological improvements enabling detection of proteins at concentrations as low as 1-10 pg/mL in complex cellular environments .

How should researchers approach contradictory findings in the SPAC14C4.04 literature?

When navigating contradictory findings, scientists should implement this methodological framework:

  • Critical assessment of methodologies:

    • Compare antibody clones and validation methods across studies

    • Evaluate experimental conditions for potential confounding factors

    • Assess statistical approaches and sample sizes for robustness

  • Replication strategies:

    • Design experiments incorporating multiple antibodies targeting different epitopes

    • Implement orthogonal detection methods beyond antibody-based approaches

    • Collaborate across laboratories to test reproducibility

  • Contextual interpretation:

    • Consider cell type-specific or condition-dependent effects

    • Evaluate post-translational modifications affecting antibody recognition

    • Assess potential splice variants or protein isoforms

  • Meta-analysis approaches:

    • Apply systematic review methodologies to existing literature

    • Weight findings based on methodological quality and validation rigor

    • Identify patterns in contradictions that may reveal biological complexity

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