SPAC17A5.08 Antibody

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Description

Nomenclature Analysis

The identifier "SPAC17A5.08" follows the gene-naming convention for Schizosaccharomyces pombe (fission yeast), where:

  • SPAC: Denotes Schizosaccharomyces pombe chromosome.

  • 17A5: Likely refers to chromosomal coordinates (chromosome 17, region A5).

  • .08: May indicate an open reading frame (ORF) or specific locus.

In fission yeast, genes are systematically annotated (e.g., SPACXXX.XX), but no records for SPAC17A5.08 exist in major databases like UniProt, SGD, or PomBase as of March 2025. This suggests the identifier may be outdated, a hypothetical protein, or part of unpublished research.

Antibody Development for Fission Yeast Proteins

While SPAC17A5.08 is uncharacterized, research on analogous S. pombe proteins (e.g., Sup11p) provides methodological parallels:

Case Study: Sup11p Antibody

  • Target: Sup11p, a protein involved in cell wall remodeling and O-mannosylation .

  • Antibody Generation: Polyclonal antibodies were raised against GST-fusion peptides of Sup11p for Western blot and immunofluorescence .

  • Applications:

    • Detected hypo-mannosylation in mutant strains.

    • Identified cell wall glucan-modifying enzymes via transcriptome analysis .

General Workflow for Custom Antibodies:

StepDescription
1. Antigen DesignRecombinant protein or peptide synthesis (e.g., GST/His-tagged fusion).
2. ImmunizationAdminister antigen to host (e.g., mouse, rabbit).
3. Hybridoma/Sera CollectionGenerate monoclonal or polyclonal antibodies.
4. ValidationWestern blot, ELISA, or microscopy to confirm specificity .

Hypothetical Characterization of SPAC17A

If SPAC17A5.08 encodes a protein, its antibody would likely follow these parameters:

Predicted Epitope Features

  • Sequence: Requires ORF confirmation via genomic sequencing.

  • Post-Translational Modifications: Potential O-mannosylation or N-glycosylation based on S. pombe trends .

  • Localization: Likely cell wall or membrane-associated (common for SPAC-numbered genes).

Functional Assays

  • Knockout Phenotyping: Assess viability, cell wall integrity, or stress response.

  • Interaction Partners: Co-IP/MS to identify binding proteins.

Research Gaps and Recommendations

  • Genomic Validation: Confirm SPAC17A5.08’s existence via sequencing or CRISPR-Cas9 editing.

  • Antibody Customization: Collaborate with vendors like Santa Cruz Biotech or R&D Systems for peptide synthesis and immunization .

  • Data Sharing: Publish preliminary findings in repositories like BioRxiv to engage the scientific community.

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
SPAC17A5.08 antibody; Uncharacterized membrane protein C17A5.08 antibody
Target Names
SPAC17A5.08
Uniprot No.

Target Background

Database Links
Protein Families
EMP24/GP25L family
Subcellular Location
Endoplasmic reticulum membrane; Single-pass type I membrane protein.

Q&A

What are the typical applications for SPAC17A5.08 antibodies in molecular biology research?

SPAC17A5.08 antibodies are widely utilized in various molecular and cellular biology applications. Most commonly, these antibodies are employed in Western blotting (typically at dilutions of 1:1000), immunoprecipitation, immunofluorescence, and ELISA techniques . When conducting Western blot experiments, researchers should consider using appropriate controls alongside their samples of interest to validate antibody specificity. For immunoprecipitation applications, combining the antibody with protein A or G beads often yields optimal results for isolating SPAC17A5.08 protein complexes from cell lysates . Immunofluorescence experiments typically require optimization of fixation conditions (paraformaldehyde versus methanol) and permeabilization protocols to ensure proper epitope accessibility while maintaining cellular structure.

How should researchers validate the specificity of SPAC17A5.08 antibodies?

Antibody validation is a critical step to ensure experimental reliability. For SPAC17A5.08 antibodies, multiple validation approaches should be employed:

  • Knockout/knockdown controls: Compare antibody reactivity in wild-type samples versus those where SPAC17A5.08 expression has been genetically eliminated or reduced

  • Recombinant protein controls: Test antibody against purified SPAC17A5.08 protein

  • Multiple antibody validation: Use antibodies targeting different epitopes of SPAC17A5.08

  • Cross-reactivity assessment: Test against related proteins to confirm specificity

Validation experiments should include Western blot analysis showing the expected molecular weight band (~100-120 kDa, depending on post-translational modifications) . Mass spectrometry analysis of immunoprecipitated samples can provide definitive confirmation of antibody specificity, as demonstrated in studies of other specific antibodies .

What are the optimal storage and handling conditions for SPAC17A5.08 antibodies?

To maintain antibody integrity and performance, researchers should adhere to these storage and handling guidelines:

ParameterRecommended ConditionsNotes
Storage Temperature-80°C for long-term storageAliquot to minimize freeze-thaw cycles
Working Storage2-8°C for short-term useTypically stable for 1-2 weeks at this temperature
BufferPhosphate buffered saline with < 0.1% sodium azidePreservative helps prevent microbial contamination
Freeze-ThawMinimize cycles (ideally <5)Each cycle can reduce activity by 5-10%
Concentration0.5-1.0 mg/mL typicalHigher concentrations generally improve stability

When shipping these antibodies between laboratories, dry ice transport is strongly recommended to maintain antibody function . Additionally, avoiding exposure to direct light helps preserve conjugated antibodies if applicable.

How do post-translational modifications affect SPAC17A5.08 antibody recognition?

Post-translational modifications (PTMs) significantly impact antibody-antigen interactions. For SPAC17A5.08 antibodies, researchers should consider:

  • Phosphorylation sites: These can alter epitope accessibility or create conformational changes that affect antibody binding

  • Glycosylation patterns: The presence of sugar moieties can sterically hinder antibody binding or create new recognition sites

  • Proteolytic processing: SPAC17A5.08 may exist in multiple forms (pro-form vs. mature) with different molecular weights

Research on similar proteins like ADAM17 demonstrates the importance of considering such modifications - the mature form (~100 kDa) versus the pro-form (~120 kDa) show different antibody reactivity patterns . When investigating specific PTMs, specialized antibodies recognizing particular modified forms may be necessary.

Glycosylation, in particular, can significantly influence antibody function. Studies have shown that IgG fucosylation, galactosylation, and sialylation positively correlate with functional properties such as phagocytosis by macrophages (ADCP) and neutrophils (ADNP), while bisection negatively correlates with these functions .

What techniques are available for mapping epitope-paratope interactions of SPAC17A5.08 antibodies?

Understanding the precise binding interface between SPAC17A5.08 and its antibodies requires sophisticated analytical approaches:

  • X-ray crystallography: Provides atomic-level resolution of the antibody-antigen complex

  • Cryo-electron microscopy: Enables visualization of binding without crystal formation

  • Hydrogen-deuterium exchange mass spectrometry: Identifies protected regions upon binding

  • Computational prediction tools: Molecular docking algorithms can predict potential epitopes

The Antigen-Antibody Complex Database (AACDB) represents a valuable resource for researchers studying such interactions, containing comprehensive paratope and epitope annotation information that can serve as benchmarks for new investigations . Molecular docking approaches have been successfully employed to predict antigenic epitopes, as demonstrated in studies of other antibodies like Abs-9 .

How does antibody glycosylation influence SPAC17A5.08 antibody function?

Antibody glycosylation represents a critical post-translational modification that fine-tunes effector functions. Key relationships between glycosylation patterns and antibody functionality include:

Glycosylation TypeEffect on Antibody FunctionRelevant Applications
Core fucosylationModulates ADCC activityFlow cytometry, cell-based assays
GalactosylationEnhances complement activationComplement-dependent assays
SialylationIncreases antibody half-lifeIn vivo applications
BisectionAlters structural stabilityLong-term storage applications

Research has demonstrated that IgG1 fucosylation positively correlates with antibody-dependent complement deposition (ADCD), while IgG galactosylation and sialylation enhance phagocytic activity . These glycosylation patterns should be considered when selecting or developing SPAC17A5.08 antibodies for specific research applications, particularly for functional assays.

What are common sources of inconsistent results with SPAC17A5.08 antibodies?

Researchers encountering variability in SPAC17A5.08 antibody experiments should investigate these potential issues:

  • Antibody lot-to-lot variation: Different production batches may have subtle differences in specificity or sensitivity

  • Sample preparation inconsistencies: Variations in lysis buffers, fixation protocols, or protein denaturation can affect epitope accessibility

  • Cross-reactivity with related proteins: SPAC17A5.08 antibodies may recognize structurally similar proteins

  • PTM heterogeneity: Different cell types or conditions may produce SPAC17A5.08 with varying modification patterns

To minimize these issues, researchers should implement rigorous positive and negative controls in each experiment. Documentation of lot numbers, detailed protocol parameters, and standardization of reagents across experiments is essential for reproducibility.

How can researchers quantify binding affinity of SPAC17A5.08 antibodies?

Several methodologies provide precise measurements of antibody-antigen binding kinetics:

  • Biolayer Interferometry (BLI): Measures real-time association and dissociation rates, similar to the technique used to determine the KD value of 1.959 × 10^-9 M for Abs-9 antibody binding to SpA5

  • Surface Plasmon Resonance (SPR): Gold standard for kinetic measurements providing kon and koff rates

  • Isothermal Titration Calorimetry (ITC): Provides thermodynamic parameters of binding

  • Microscale Thermophoresis (MST): Measures binding in solution without immobilization

For SPAC17A5.08 antibodies, BLI or SPR typically provide the most reliable affinity measurements. Researchers should report comprehensive binding parameters including:

  • Association rate constant (kon)

  • Dissociation rate constant (koff)

  • Equilibrium dissociation constant (KD)

What approaches can address weak or nonspecific SPAC17A5.08 antibody signals?

When encountering suboptimal antibody performance, researchers can implement these methodological improvements:

  • Antigen retrieval optimization: For fixed samples, try different retrieval buffers (citrate, EDTA, etc.) and conditions (pH, temperature)

  • Blocking protocol refinement: Test alternative blocking agents (BSA, casein, normal serum) to reduce background

  • Signal amplification systems: Consider using biotinylated secondary antibodies with streptavidin-HRP or tyramide signal amplification

  • Sample enrichment techniques: Implement immunoprecipitation before analysis to concentrate the target protein

For Western blotting specifically, optimizing transfer conditions (time, buffer composition, voltage) can significantly improve signal quality. Different membrane types (PVDF vs. nitrocellulose) may also influence antibody binding efficiency and background levels.

How can high-throughput sequencing approaches be applied to SPAC17A5.08 antibody research?

Next-generation sequencing technologies offer powerful tools for antibody research:

  • Single-cell RNA and VDJ sequencing: Enables identification of antigen-specific antibody sequences from B cells, similar to approaches used to identify potent antibodies against other targets

  • Phage display with deep sequencing: Facilitates epitope mapping through analysis of binding peptides

  • Immune repertoire profiling: Characterizes antibody diversity in response to SPAC17A5.08 immunization

High-throughput sequencing can identify hundreds of antigen-binding clonotypes, as demonstrated in studies where 676 antigen-binding IgG1+ clonotypes were identified from immunized volunteers . This approach allows researchers to select the most promising antibody candidates for further characterization and development.

What considerations are important when using SPAC17A5.08 antibodies in different model organisms?

Cross-species reactivity is a critical consideration in comparative biology research:

Model OrganismKey ConsiderationsValidation Approach
MouseHigh sequence homology regions are targets for cross-reactivityWestern blot comparing mouse vs. target species
ZebrafishLower conservation may require species-specific antibodiesImmunoprecipitation with mass spectrometry validation
DrosophilaMinimal conservation, high risk of non-specific bindingKnockout controls essential
YeastNative expression systems important for validationEpitope tagging for parallel detection

When working with antibodies across species, researchers should explicitly verify cross-reactivity before proceeding with experiments. For example, some antibodies are specifically designed to recognize only mouse proteins with minimal cross-reactivity to human or other species proteins .

How can computational approaches improve SPAC17A5.08 antibody research?

Computational methods enhance various aspects of antibody research:

  • Epitope prediction: Tools like AlphaFold2 can model protein structure and predict potential antibody binding sites

  • Antibody humanization: Computational frameworks guide the conversion of non-human antibodies to reduce immunogenicity

  • Binding affinity optimization: In silico mutagenesis can identify modifications to enhance antibody-antigen interactions

  • Cross-reactivity assessment: Sequence and structural homology analyses identify potential off-target binding

Databases such as AACDB provide valuable resources for antibody researchers, offering comprehensive collections of antigen-antibody complexes with detailed paratope and epitope annotations . These resources can guide experimental design and interpretation through comparison with previously characterized antibody-antigen interactions.

What emerging technologies are transforming SPAC17A5.08 antibody research?

Several cutting-edge approaches are reshaping antibody research methodologies:

  • Cryo-EM for structural biology: Enables visualization of antibody-antigen complexes without crystallization

  • AI-driven antibody design: Machine learning algorithms predict optimal antibody sequences for specific epitopes

  • Synthetic antibody libraries: Expand beyond natural repertoires to access novel binding properties

  • Multiplexed imaging technologies: Allow simultaneous detection of multiple targets in complex samples

These technologies provide opportunities to address longstanding challenges in SPAC17A5.08 research, including detailed structural studies of the protein in different conformational states and improved specificity of detection reagents.

What are the current limitations in SPAC17A5.08 antibody research that need addressing?

Despite significant progress, several challenges remain in this field:

  • Limited epitope coverage: Many available antibodies target the same immunodominant regions

  • Conformational epitope detection: Difficulty generating antibodies that recognize native protein structures

  • Post-translational modification specificity: Need for antibodies that distinguish between different modified forms

  • Reproducibility challenges: Batch-to-batch variation affects experimental consistency

Addressing these limitations requires coordinated efforts including the development of comprehensive validation standards, improved recombinant antibody production methods, and more robust epitope mapping technologies.

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