SPAC24H6.13 Antibody

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Description

Antibody Structure and Function

Antibodies are Y-shaped glycoproteins composed of two heavy (H) and two light (L) chains. Each chain contains constant regions (mediating effector functions like complement activation) and variable regions (responsible for antigen binding via complementarity-determining regions, or CDRs) . For example:

  • Fab regions bind antigens, while Fc regions engage immune receptors .

  • Structural flexibility in the hinge region allows for diverse antigen interactions .

Antibody ClassHeavy Chain TypeKey Functions
IgGGamma (γ)Neutralization, opsonization
IgMMu (μ)Early immune response, antigen complexation
IgAAlpha (α)Mucosal immunity

Antibody Engineering and Validation

Modern antibody development emphasizes specificity and reproducibility:

  • Monoclonal antibodies (e.g., ab92551 for Cytokeratin 13) undergo rigorous validation, including knockout cell line testing and multi-tissue IHC .

  • CD4-binding site antibodies like N6 demonstrate engineered breadth by avoiding steric clashes with viral glycans .

  • Recombinant formats ensure batch-to-batch consistency .

Research Gaps and Future Directions

While "SPAC24H6.13 Antibody" remains undocumented in existing literature, advances in antibody discovery methods—including phage display, transgenic mouse models, and AI-driven design—could facilitate its characterization . Key steps for future investigation would include:

  1. Epitope Mapping: Identifying the target antigen using alanine scanning or cryo-EM .

  2. Functional Assays: Testing neutralization potency, ADCC/ADCP activity, or diagnostic utility .

  3. Structural Analysis: Resolving its Fab-Fc architecture via X-ray crystallography .

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
SPAC24H6.13 antibody; Uncharacterized membrane protein C24H6.13 antibody
Target Names
SPAC24H6.13
Uniprot No.

Target Background

Function
SPAC24H6.13 Antibody acts as an osmosensitive calcium-permeable cation channel.
Database Links
Protein Families
CSC1 (TC 1.A.17) family
Subcellular Location
Golgi apparatus membrane; Multi-pass membrane protein.

Q&A

What is SPAC24H6.13 and why is it relevant for antibody development?

SPAC24H6.13 is a gene identifier in the fission yeast Schizosaccharomyces pombe that encodes a chromatin-associated protein. Antibodies against this protein are valuable tools for studying chromatin dynamics and gene regulation in S. pombe. These antibodies enable researchers to investigate protein localization, chromatin binding patterns, and functional roles through various techniques including chromatin immunoprecipitation (ChIP), immunoblotting, and immunofluorescence microscopy .

How is antibody specificity validated for S. pombe protein targets like SPAC24H6.13?

Validation of antibody specificity for S. pombe protein targets typically involves multiple complementary approaches:

  • Knockout validation: Testing antibody reactivity in wildtype versus gene deletion strains to confirm absence of signal in knockout samples

  • Western blot analysis: Confirming single band of expected molecular weight

  • Immunoprecipitation followed by mass spectrometry: Verifying that the target protein is enriched

  • Recombinant protein controls: Using purified protein as positive control

  • Cross-reactivity testing: Ensuring the antibody doesn't recognize related proteins

These validation steps are essential to prevent experimental artifacts and misinterpretation of results in chromatin studies .

What are the primary research applications for SPAC24H6.13 antibody?

The primary research applications include:

  • Chromatin immunoprecipitation (ChIP): Identifying genomic binding sites

  • Quantitative proteomics: Measuring protein abundance in different conditions

  • Immunofluorescence: Determining subcellular localization

  • Co-immunoprecipitation: Identifying protein interaction partners

  • Western blotting: Monitoring protein expression levels

These applications enable researchers to investigate the role of SPAC24H6.13 in chromatin organization, gene expression regulation, and stress responses in S. pombe .

What are the optimal extraction protocols for chromatin-bound proteins when using antibodies in S. pombe?

For optimal extraction of chromatin-bound proteins in S. pombe when using antibodies like those against SPAC24H6.13:

  • Cell harvesting and spheroplast preparation:

    • Grow cells to mid-log phase (OD₆₀₀ 0.5-0.8)

    • Crosslink with 1% formaldehyde for 15-20 minutes if performing ChIP

    • Digest cell wall with zymolyase/lysing enzymes in sorbitol buffer

  • Nuclear isolation and chromatin extraction:

    • Lyse spheroplasts with detergent buffer containing protease inhibitors

    • Isolate nuclei through differential centrifugation

    • Extract chromatin-bound proteins using high-salt buffer (300-600 mM NaCl)

  • Solubilization considerations:

    • Use sonication to fragment chromatin and improve solubility

    • Include nucleases (DNase I/benzonase) to release DNA-bound proteins

    • Apply mild detergents (0.1% NP-40) to maintain protein structure

This methodology ensures efficient isolation of chromatin-bound proteins while preserving their native interactions and modifications .

How should researchers optimize antibody dilutions for different experimental techniques with SPAC24H6.13 antibody?

Optimizing antibody dilutions requires systematic titration for each experimental technique:

TechniqueRecommended Starting DilutionOptimization RangeKey Considerations
Western Blot1:10001:500 - 1:5000Signal-to-noise ratio, blocking conditions
Immunoprecipitation5 μg/mg lysate2-10 μg/mg lysateBead type, incubation time
ChIP5 μg/reaction2-10 μg/reactionChromatin concentration, crosslinking
Immunofluorescence1:2001:100 - 1:1000Fixation method, permeabilization
Flow Cytometry1:1001:50 - 1:500Cell permeabilization, secondary antibody

Researchers should perform side-by-side comparisons with positive and negative controls at multiple dilutions to determine the optimal concentration that provides maximum specific signal with minimal background .

What challenges might researchers encounter with cross-reactivity when using antibodies against yeast proteins?

Cross-reactivity challenges with antibodies against yeast proteins include:

  • Conserved protein domains: Yeast proteins often contain highly conserved domains, leading to potential cross-reactivity with related proteins. Researchers should validate specificity using knockout strains.

  • Post-translational modifications: Antibodies may differentially recognize modified forms of the target protein. Test antibody recognition across different growth conditions and cell cycle stages.

  • Cell wall interference: Incomplete cell wall digestion can cause inconsistent antibody penetration. Optimize spheroplasting procedures for consistent results.

  • Background from protein A/G: Yeast cell wall components can bind antibodies non-specifically. Employ extensive blocking steps and use F(ab')₂ fragments for sensitive applications.

  • Species cross-reactivity: Antibodies raised against orthologs from other organisms may have unpredictable cross-reactivity patterns. Validate with recombinant protein controls .

How can researchers use SPAC24H6.13 antibody in quantitative proteomic studies?

For quantitative proteomic applications with SPAC24H6.13 antibody:

  • Immunoprecipitation coupled with mass spectrometry (IP-MS):

    • Use the antibody to immunoprecipitate SPAC24H6.13 and associated proteins

    • Process samples for LC-MS/MS analysis

    • Employ label-free quantification or isotope labeling (SILAC, TMT) for comparative studies

    • Use specialized software (e.g., MaxQuant) for data analysis

  • Chromatin proteomics approach:

    • Fractionate chromatin and immunoprecipitate with SPAC24H6.13 antibody

    • Analyze protein complexes across different chromatin states

    • Correlate with ChIP-seq data for integrated analysis

  • Targeted proteomics considerations:

    • Develop Multiple Reaction Monitoring (MRM) assays for precise quantification

    • Use synthetic peptide standards for absolute quantification

    • Monitor specific SPAC24H6.13 post-translational modifications

These approaches provide deep insights into the dynamic interactions and functions of SPAC24H6.13 in various cellular contexts and stress conditions .

What are the best practices for addressing conflicting antibody data in yeast protein research?

When confronting contradictory antibody data in yeast protein research:

  • Technical validation:

    • Verify antibody specificity using multiple validation methods

    • Test different antibody lots for consistency

    • Employ multiple antibodies targeting different epitopes of the same protein

  • Experimental design considerations:

    • Evaluate fixation and extraction methods that might affect epitope accessibility

    • Assess whether post-translational modifications alter antibody recognition

    • Consider strain background differences that might impact results

  • Data integration approach:

    • Combine antibody-based methods with orthogonal techniques (MS, genetic tagging)

    • Check for consistency with published literature

    • Perform genetic perturbations (mutation, deletion) to confirm functional significance

  • Reporting standards:

    • Document all experimental conditions comprehensively

    • Explicitly report contradictions with previous literature

    • Include all controls and validation experiments in publications

For example, when contradictions arise like the nda3 mutants showing unexpected resistance to caffeine toxicity, researchers should systematically investigate the experimental conditions that might account for the discrepancy .

How can researchers integrate SPAC24H6.13 antibody data with genetic and genomic analyses?

To effectively integrate SPAC24H6.13 antibody data with genetic and genomic analyses:

  • ChIP-seq integration:

    • Perform ChIP-seq using SPAC24H6.13 antibody to map genomic binding sites

    • Correlate binding profiles with transcriptomic data (RNA-seq)

    • Intersect with histone modification maps and chromatin accessibility data

  • Functional genomics correlation:

    • Compare protein localization/abundance with phenotypic data from genetic screens

    • Analyze synthetic genetic interactions of SPAC24H6.13 mutants

    • Integrate with protein-protein interaction networks

  • Multi-omics data integration framework:

    • Develop computational pipelines that combine antibody-derived proteomic data with genomic datasets

    • Apply machine learning approaches to identify patterns across multiple data types

    • Use network analysis to position SPAC24H6.13 in functional pathways

  • Temporal dynamics analysis:

    • Track SPAC24H6.13 associations through the cell cycle using synchronized cultures

    • Monitor responses to environmental stresses or drug treatments over time

    • Correlate with dynamic changes in chromatin organization

This multi-layered approach provides a comprehensive understanding of SPAC24H6.13 function in chromatin regulation and cellular processes .

What are common pitfalls in ChIP experiments using antibodies against chromatin-associated proteins in yeast?

Common pitfalls in ChIP experiments with yeast chromatin-associated proteins include:

  • Insufficient crosslinking:

    • Problem: Transient interactions may be lost during processing

    • Solution: Optimize formaldehyde concentration (1-3%) and crosslinking time (15-30 minutes)

  • Inadequate cell wall digestion:

    • Problem: Poor antibody accessibility to nuclear proteins

    • Solution: Test multiple enzymes and conditions for spheroplasting; verify by microscopy

  • Chromatin fragmentation issues:

    • Problem: Fragments too large or too small affect resolution and efficiency

    • Solution: Titrate sonication conditions carefully; aim for 200-500bp fragments

  • Non-specific antibody binding:

    • Problem: High background signal obscuring true binding sites

    • Solution: Increase blocking stringency; pre-clear lysates; validate with knockout controls

  • PCR amplification bias:

    • Problem: GC-rich regions common in yeast can be under-represented

    • Solution: Use polymerases optimized for GC-rich templates; adjust cycle numbers

These technical considerations are critical for obtaining reliable ChIP data with antibodies against chromatin-associated proteins like SPAC24H6.13 .

How can researchers validate antibody specificity for rarely expressed proteins in S. pombe?

For validating antibody specificity against low-abundance proteins like SPAC24H6.13 in S. pombe:

  • Genetic approaches:

    • Generate knockout strains as negative controls

    • Create overexpression strains as positive controls

    • Develop epitope-tagged versions for parallel validation

  • Enrichment strategies:

    • Use cell fractionation to concentrate the protein compartment of interest

    • Synchronize cells if the protein is cell-cycle regulated

    • Induce expression if the gene responds to specific stimuli

  • Sensitive detection methods:

    • Employ signal amplification techniques (TSA, iDiSCO)

    • Use highly sensitive western blot substrates

    • Implement sample concentration steps before analysis

  • Recombinant protein standards:

    • Express and purify recombinant protein fragments

    • Perform peptide competition assays

    • Create standard curves for quantification

  • Mass spectrometry verification:

    • Confirm antibody pulldown by targeted MS approaches

    • Identify specific peptides from the target protein

    • Quantify enrichment relative to control samples

These approaches ensure reliable antibody validation even for challenging low-abundance chromatin proteins .

How do post-translational modifications affect antibody recognition of chromatin-bound proteins?

Post-translational modifications (PTMs) can significantly impact antibody recognition of chromatin-bound proteins in several ways:

  • Epitope masking:

    • Phosphorylation, acetylation, or methylation can directly block antibody binding sites

    • Solution: Use modification-specific antibodies or modification-insensitive antibodies

  • Conformational changes:

    • PTMs can alter protein folding, exposing or hiding epitopes

    • Solution: Test antibodies under native and denaturing conditions

  • Interaction-dependent accessibility:

    • Protein-protein or protein-DNA interactions may obscure epitopes

    • Solution: Optimize extraction conditions; use enzymatic treatments

  • Differential recognition patterns:

    • Some antibodies may preferentially recognize modified forms

    • Solution: Characterize antibody behavior with modification-mimicking mutants

  • Technical considerations:

    • Sample preservation methods can affect PTM stability

    • Solution: Use phosphatase/deacetylase inhibitors; optimize fixation protocols

Researchers should systematically evaluate how different cellular conditions affect antibody recognition, especially when investigating dynamic chromatin processes where protein modifications play regulatory roles .

How are advances in recombinant antibody technology improving research with difficult targets like SPAC24H6.13?

Recent advances in recombinant antibody technology are enhancing research capabilities with challenging targets like SPAC24H6.13:

  • Improved consistency through recombinant production:

    • Recombinant antibodies offer unrivaled batch-to-batch consistency

    • Eliminates need for same-lot requests, enhancing experimental reproducibility

    • Enables precise epitope targeting through protein engineering

  • Enhanced validation approaches:

    • Knockout cell line validation confirms specificity

    • Multi-tissue microarray testing ensures broad applicability

    • Systematic epitope mapping improves antibody characterization

  • Application-specific optimization:

    • Antibodies can be engineered for specific techniques (ChIP, IF, WB)

    • Fragment antibodies (Fab, scFv) improve penetration in yeast cells

    • Affinity maturation enhances detection of low-abundance proteins

  • Future developments:

    • Integration with CRISPR technologies for simultaneous protein tagging and detection

    • Multispecific antibodies for co-detection of interacting partners

    • Conformation-specific antibodies to detect functional states

These technological improvements address previous limitations in antibody research tools for challenging yeast protein targets .

What novel experimental approaches combine antibody-based detection with other technologies for studying chromatin-bound proteins?

Innovative experimental approaches combining antibody-based detection with complementary technologies include:

  • Proximity labeling with antibody targeting:

    • CUT&RUN/CUT&Tag: Combining antibody recognition with targeted DNA cleavage

    • APEX/BioID fusion systems guided by antibody-based purification

    • Enables mapping of local protein environments around SPAC24H6.13

  • Single-cell applications:

    • Antibody-based CyTOF for multiplexed protein detection

    • Single-cell proteomics with antibody-based enrichment

    • Resolves cell-to-cell heterogeneity in protein expression and localization

  • Live-cell imaging innovations:

    • Nanobody-based tracking of protein dynamics

    • FRET sensors incorporating antibody-derived binding domains

    • Provides temporal information on protein interactions and movements

  • Spatial proteomics integration:

    • Imaging mass cytometry with antibody detection

    • Spatial transcriptomics correlated with protein localization

    • Creates multi-dimensional maps of chromatin organization

These approaches provide unprecedented insights into the dynamics and functional relationships of chromatin-bound proteins like SPAC24H6.13 in their native cellular contexts .

How can researchers address challenges with neutrophil-dependent and -independent protection mechanisms when using antibodies in infection models?

While primarily applicable to infection research, these principles can inform broader antibody applications:

  • Distinguishing cellular mechanisms:

    • Problem: Determining whether protection is mediated through neutrophil-dependent or independent pathways

    • Solution: Compare antibody efficacy in neutrophil-depleted versus immunocompetent models

    • Application: Similar approaches can identify cell-type specific dependencies in S. pombe

  • Complementary methodological approaches:

    • Combine antibody treatments with cellular immunophenotyping

    • Analyze cytokine levels to understand immune modulation

    • Track population dynamics of specific cell types (e.g., M1/M2 macrophages)

  • Dose optimization considerations:

    • Test antibody efficacy across different concentrations

    • Determine timing effects (pre- vs. post-challenge)

    • Evaluate protection against varying challenge levels

  • Translational implications:

    • Assess protective efficacy in immunocompromised models

    • Test against diverse strain backgrounds

    • Evaluate for potential complementary therapies

These methodologies, demonstrated with monoclonal antibody 24D11 in infection models, provide a framework for addressing complex cellular dependencies in various experimental systems .

What are the recommended validation standards for publishing research using novel antibodies against yeast proteins?

Recommended validation standards for publishing research with novel antibodies against yeast proteins include:

  • Minimum required validation:

    • Demonstrate specificity using genetic knockout controls

    • Show expected molecular weight and subcellular localization

    • Provide detailed methods including antibody concentration, incubation conditions

  • Additional recommended validation:

    • Test cross-reactivity against related proteins

    • Perform epitope mapping or competition assays

    • Validate across multiple experimental techniques

  • Transparent reporting requirements:

    • Include catalog numbers and lot information

    • Specify exact dilutions and incubation parameters

    • Document all optimization steps

  • Negative controls documentation:

    • Include secondary-only controls

    • Show non-specific IgG comparisons

    • Present knockout/knockdown validation data

Following these standards ensures research reproducibility and builds confidence in findings regarding chromatin-associated proteins like SPAC24H6.13 .

How should researchers design experiments to address contradictory results when studying protein-DNA interactions?

When addressing contradictory results in protein-DNA interaction studies:

  • Systematic technical comparisons:

    • Test multiple antibody clones and lots

    • Compare different experimental protocols side-by-side

    • Evaluate fixation and extraction variations

  • Integrated validation approach:

    • Employ orthogonal techniques (ChIP-seq, CUT&RUN, DamID)

    • Use genetic tagging as complementary strategy

    • Consider in vitro binding assays for direct interaction assessment

  • Biological variables consideration:

    • Assess cell cycle effects through synchronization

    • Evaluate strain background influences

    • Test environmental condition impacts

  • Quantitative analysis framework:

    • Use statistical approaches to determine significance

    • Implement multiple biological and technical replicates

    • Apply computational methods to identify consistent binding patterns

This structured approach helps resolve contradictions like those observed in previous studies of mutant responses to environmental stressors, where caffeine resistance patterns differed unexpectedly between experimental systems .

What future developments can researchers expect in antibody technologies for studying chromatin-associated proteins?

Future developments in antibody technologies for chromatin-associated protein research will likely include:

  • Next-generation antibody formats:

    • Single-domain antibodies with improved nuclear penetration

    • Bispecific antibodies for detecting protein complexes

    • Intrabodies for live-cell tracking of nuclear proteins

  • Enhanced production platforms:

    • AI-designed antibodies with optimized specificity

    • Cell-free expression systems for rapid antibody generation

    • Yeast-optimized expression systems for species-specific targets

  • Advanced detection modalities:

    • Photoswitchable antibodies for super-resolution imaging

    • Split-antibody complementation for interaction studies

    • Antibody-enzyme fusions for targeted chromatin modification

  • Integrated system approaches:

    • Antibody panels targeting entire chromatin complexes

    • Multiplexed detection systems for simultaneous protein monitoring

    • Computational tools for integrating antibody-derived datasets

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