SPAC13A11.05 Antibody

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Description

Antibody Characterization in S. pombe Studies

Antibodies used in S. pombe research often target epitopes for functional or localization studies. For example:

  • Anti-HA antibodies and anti-α-tubulin antibodies were employed in protein localization and Western blotting .

  • Polyclonal antibodies raised against GST-fusion peptides (e.g., Sup11p) are critical for detecting hypo-glycosylated proteins .

Antibody TypeTargetApplicationSource
Anti-HAEpitope-tagged proteinsImmunofluorescence, Western blot
Anti-α-tubulinMicrotubule structuresCell cycle studies
Anti-GSTFusion proteinsAffinity purification

Methodologies for Antibody Validation

Key techniques from the search results that apply to antibody validation include:

  • Mass spectrometry: Used to identify post-translational modifications (e.g., phosphorylation, glycosylation) in S. pombe proteins .

  • Western blotting: Validated antibodies for specificity against targets like mouse IgG1 or human IgG .

  • Flow cytometry: Assessed antibody binding to cell-surface markers (e.g., CD16) .

Hypothetical Framework for SPAC13AAntibody

If SPAC13A11.05 is an S. pombe gene product, its antibody development might involve:

  • Immunogen Design: Recombinant protein or peptide fragments derived from SPAC13A11.05.

  • Cross-Adsorption: To eliminate cross-reactivity with other S. pombe proteins (e.g., as done for human IgG ).

  • Applications:

    • Localization: Immunofluorescence to determine subcellular distribution.

    • Functional Studies: Knockdown/knockout experiments paired with phenotypic analysis.

Gaps in Current Data

The search results lack:

  • Direct references to SPAC13A11.05 or its protein product.

  • Experimental data on antibody performance (e.g., sensitivity, specificity) for this target.

  • Structural or functional annotations for SPAC13A11.05 in S. pombe databases.

Recommendations for Future Research

  • Genomic Database Mining: Query S. pombe databases (e.g., PomBase) for SPAC13A11.05 annotations.

  • Antibody Generation: Collaborate with vendors like Southern Biotech (e.g., Catalog No. 1030-05 for anti-mouse IgG ) for custom antibody production.

  • Validation: Use SILAC-based mass spectrometry or microarray hybridization to confirm target specificity.

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
SPAC13A11.05 antibody; Putative aminopeptidase C13A11.05 antibody; EC 3.4.11.- antibody
Target Names
SPAC13A11.05
Uniprot No.

Target Background

Database Links
Protein Families
Peptidase M17 family
Subcellular Location
Cytoplasm.

Q&A

What is SPAC13A11.05 and why are antibodies against it important for research?

SPAC13A11.05 is a gene locus in the fission yeast Schizosaccharomyces pombe genome. Antibodies targeting its protein product are essential tools for studying protein expression, localization, and function in various cellular processes. The importance of these antibodies stems from S. pombe's value as a model organism that shares many features with higher eukaryotes, including humans, making it an excellent system for studying fundamental cellular processes . Antibodies against SPAC13A11.05 allow researchers to track this specific protein during experiments and determine its role in cellular mechanisms through techniques like immunoprecipitation, Western blotting, and immunofluorescence microscopy.

What expression systems are recommended for generating SPAC13A11.05 antibodies?

For generating antibodies against S. pombe proteins like SPAC13A11.05, several expression systems can be employed. While S. pombe itself can be used for expression of its native proteins, heterologous expression systems provide advantages for antibody production. P. pastoris has emerged as a preferred system for producing recombinant proteins for antibody generation due to its ability to perform post-translational modifications similar to higher eukaryotes . S. cerevisiae is another commonly used system, though it tends to produce hyperglycosylated proteins which may alter immunogenicity . For SPAC13A11.05 antibody production specifically, researchers should consider:

  • The protein's natural conformation and post-translational modifications

  • The required scale of antibody production

  • Whether glycosylation patterns might affect antibody generation

  • The application's sensitivity requirements

How should SPAC13A11.05 antibody specificity be validated?

Validation of antibody specificity is crucial for reliable experimental results. For SPAC13A11.05 antibodies, a multi-step validation process is recommended:

  • Western blot analysis: Using wild-type S. pombe lysates compared with SPAC13A11.05 deletion mutants to confirm the antibody recognizes a band of the expected molecular weight only in wild-type samples

  • Immunoprecipitation followed by mass spectrometry: To verify the antibody captures the intended protein

  • Immunofluorescence microscopy: Comparing staining patterns between wild-type and knockout/knockdown cells

  • Peptide competition assay: Pre-incubating the antibody with the immunizing peptide to block specific binding

  • Cross-reactivity testing: Assessing specificity against closely related proteins

This comprehensive validation ensures experimental results are attributable to the SPAC13A11.05 protein rather than cross-reactivity or non-specific binding.

What are the optimal conditions for using SPAC13A11.05 antibodies in Western blotting?

The optimal conditions for Western blotting with SPAC13A11.05 antibodies involve careful consideration of sample preparation, transfer, and detection parameters:

Sample Preparation:

  • Use fresh S. pombe cells and extract proteins in a buffer containing protease inhibitors

  • Optimize protein loading (typically 15-30 μg per lane)

  • Include proper positive controls (tagged SPAC13A11.05) and negative controls (SPAC13A11.05 deletion strain)

Blocking and Antibody Incubation:

  • Block membranes with 5% non-fat milk or BSA in TBST for 1 hour at room temperature

  • Dilute primary antibody (typically 1:500-1:2000) in blocking buffer

  • Incubate overnight at 4°C with gentle rocking

  • Wash extensively with TBST (4 × 10 minutes)

  • Incubate with HRP-conjugated secondary antibody (1:5000-1:10000) for 1 hour at room temperature

Detection:

  • Use enhanced chemiluminescence for detection

  • Optimize exposure times to avoid signal saturation

  • Consider using more sensitive detection methods for low abundance proteins

These conditions should be systematically optimized for each new batch of antibody to ensure consistent results across experiments.

How can SPAC13A11.05 antibodies be efficiently purified from serum?

For researchers developing their own SPAC13A11.05 antibodies, efficient purification from serum is critical. The recommended multi-step approach includes:

  • Initial clarification: Centrifuge serum at 10,000g for 30 minutes to remove particulates

  • Ammonium sulfate precipitation: Add ammonium sulfate to 45% saturation to precipitate IgG fraction

  • Affinity purification:

    • Prepare an affinity column with the immunizing peptide or recombinant SPAC13A11.05 protein coupled to a matrix (e.g., CNBr-activated Sepharose)

    • Pass the IgG fraction through the column

    • Wash extensively with PBS

    • Elute specific antibodies with 0.1M glycine (pH 2.5) and immediately neutralize with Tris buffer

  • Dialysis: Against PBS overnight at 4°C

  • Concentration: Using appropriate molecular weight cut-off concentrators

This purification strategy typically yields antibody preparations with >90% specificity for the target protein and minimal cross-reactivity.

What immunization protocols yield the highest-quality SPAC13A11.05 antibodies?

Developing high-quality SPAC13A11.05 antibodies requires careful immunization protocol design. Based on cumulative research experience, the following approach is recommended:

Antigen Selection and Preparation:

  • Choose unique peptide sequences (15-20 amino acids) from SPAC13A11.05

  • Avoid transmembrane domains and highly conserved regions

  • Conjugate peptides to carrier proteins (KLH or BSA)

  • Alternatively, use recombinant protein fragments expressed in E. coli or P. pastoris

Immunization Schedule:

  • Initial immunization with complete Freund's adjuvant

  • Boost at 2, 4, and 6 weeks with incomplete Freund's adjuvant

  • Test serum titer after the third boost

  • Continue boosting if necessary until satisfactory titer is achieved

Animal Selection:

  • Use rabbits for polyclonal antibodies

  • Consider multiple rabbits to identify the best responder

  • For monoclonal antibodies, use mice or rats with subsequent hybridoma generation

This protocol typically yields antibodies with high specificity and sensitivity, suitable for multiple applications including Western blotting, immunoprecipitation, and immunofluorescence.

How can epitope mapping be performed to characterize SPAC13A11.05 antibody binding sites?

Epitope mapping of SPAC13A11.05 antibodies provides critical information about the precise binding sites, which can inform functional studies and improve experiment design. The following methodologies are recommended:

Peptide Array Analysis:

  • Synthesize overlapping peptides (15-mers with 5 amino acid offsets) covering the entire SPAC13A11.05 sequence

  • Spot peptides onto membranes and probe with the antibody

  • Identify positive signals to determine the linear epitope

Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS):

  • Incubate the antigen with and without antibody in deuterated buffer

  • Analyze the differential protection patterns by mass spectrometry

  • Identify regions protected from exchange by antibody binding

Alanine Scanning Mutagenesis:

  • Create a series of point mutations in the antigen, replacing each amino acid with alanine

  • Test antibody binding to each mutant

  • Identify critical residues for antibody recognition

X-ray Crystallography:

  • For the most detailed analysis, crystallize the antibody-antigen complex

  • Determine the structure through X-ray diffraction

  • Identify all contact points between antibody and antigen

Understanding the exact epitope can help predict potential cross-reactivity with related proteins and explain discrepancies in experimental results when using different antibodies against the same target.

What strategies can overcome common challenges in SPAC13A11.05 immunoprecipitation experiments?

Immunoprecipitation (IP) of SPAC13A11.05 from S. pombe lysates presents several challenges that can be addressed with the following strategies:

Challenge: Low Protein Expression

  • Increase starting material (use 5-10x more cells than standard protocols)

  • Consider using an inducible promoter system to overexpress SPAC13A11.05

  • Use more sensitive detection methods (e.g., chemiluminescent substrates with longer exposure times)

Challenge: Poor Antibody Affinity

  • Cross-link antibody to beads to prevent co-elution and masking of target protein

  • Optimize buffer conditions (test different salt concentrations, detergents, pH)

  • Use multiple antibodies targeting different epitopes in sequential IPs

Challenge: Non-specific Binding

  • Pre-clear lysates with Protein A/G beads before adding antibody

  • Include competitors like BSA (0.1-0.5%) in washing buffers

  • Increase stringency of washes (higher salt, addition of mild detergents)

  • Consider using different bead types (magnetic vs. agarose)

Challenge: Protein Complex Disruption

  • Test milder lysis conditions (reduce detergent concentration)

  • Include stabilizing agents in buffers (10% glycerol, protease inhibitors)

  • Perform cross-linking before lysis to stabilize interactions

Table 1: Optimization parameters for SPAC13A11.05 immunoprecipitation

ParameterRecommended RangeOptimization Notes
Cell input1-5×10^9 cellsIncrease for low-abundance proteins
Lysis buffer50mM Tris pH 7.5, 150mM NaCl, 0.5% NP-40Adjust detergent type and concentration based on protein solubility
Antibody amount2-10 μg per 1 mg total proteinTitrate to find optimal concentration
Incubation time2h to overnight at 4°CLonger times may increase yield but can introduce non-specific binding
Wash stringencyLow: 150mM NaCl; High: 300mM NaClAdjust based on specificity needs
Elution methodGlycine (pH 2.5) or SDS sample bufferChoose based on downstream applications

How do post-translational modifications affect SPAC13A11.05 antibody recognition?

Post-translational modifications (PTMs) can significantly impact antibody recognition of SPAC13A11.05, leading to variable or misleading results. Understanding these effects is crucial for experimental design and interpretation:

Phosphorylation Effects:

  • Phosphorylation near or within the epitope can block antibody binding

  • Some antibodies may preferentially recognize phosphorylated forms

  • For comprehensive detection, use multiple antibodies targeting different regions

Glycosylation Considerations:

  • S. pombe glycosylation differs from other yeasts, with patterns more similar to mammals

  • N-linked glycosylation in S. pombe involves D-mannose backbones decorated with D-galactose residues and potential pyruvylation

  • Antibodies raised against bacterially-expressed proteins may fail to recognize glycosylated forms

Testing for PTM Sensitivity:

  • Treat samples with phosphatases or deglycosylation enzymes before immunoblotting

  • Compare antibody reactivity between treated and untreated samples

  • Consider using PTM-specific antibodies for phosphorylated or glycosylated forms

Recommendation Table for PTM Analysis:

PTM TypeDetection MethodSample TreatmentControls
PhosphorylationPhospho-specific antibodyLambda phosphatase treatmentPhosphatase inhibitor treatment
GlycosylationLectin blotting, periodic acid-SchiffPNGase F, Endo HTunicamycin-treated cells
UbiquitinationAnti-ubiquitin co-IPProteasome inhibitor treatmentDeubiquitinase treatment
SUMOylationAnti-SUMO co-IPSUMO protease inhibitorsSUMO protease treatment

What controls are essential when using SPAC13A11.05 antibodies in immunofluorescence microscopy?

Reliable immunofluorescence microscopy with SPAC13A11.05 antibodies requires rigorous controls to ensure specificity and accurate interpretation:

Essential Controls:

  • Genetic Negative Control:

    • SPAC13A11.05 deletion strain to confirm antibody specificity

    • RNAi knockdown cells to show signal reduction correlating with protein levels

  • Antibody Controls:

    • Secondary antibody-only control to detect non-specific binding

    • Isotype control (irrelevant primary antibody of same isotype) to assess background

    • Pre-immune serum control (for polyclonal antibodies)

    • Peptide competition control (pre-incubate antibody with immunizing peptide)

  • Signal Validation Controls:

    • Epitope-tagged version of SPAC13A11.05 with tag-specific antibody for co-localization

    • Orthogonal localization method (e.g., fractionation followed by Western blot)

  • Technical Controls:

    • Fixation control (multiple fixation methods to rule out fixation artifacts)

    • Autofluorescence control (untreated cells to assess natural fluorescence)

Optimization Table for Immunofluorescence:

ParameterOptions to TestEvaluation Criteria
Fixation method4% PFA, methanol, acetoneSignal intensity, morphology preservation
Permeabilization0.1-0.5% Triton X-100, 0.05% SDSAntibody accessibility vs. structure preservation
Blocking solution1-5% BSA, normal serum, milkBackground reduction, signal-to-noise ratio
Antibody dilution1:100-1:1000Signal intensity, specificity
Incubation time1h at RT or overnight at 4°CSignal development, background

Implementing these controls ensures that the observed localization pattern accurately represents SPAC13A11.05 distribution within S. pombe cells.

How can researchers address cross-reactivity issues with SPAC13A11.05 antibodies?

Cross-reactivity is a common challenge with antibodies and can lead to misleading results. For SPAC13A11.05 antibodies, several strategies can minimize or address this issue:

Prevention Strategies:

  • Antigen Design:

    • Select unique regions of SPAC13A11.05 with minimal homology to other proteins

    • Perform BLAST analysis to identify potential cross-reactive proteins

    • Avoid highly conserved domains when designing immunizing peptides

  • Advanced Purification:

    • Implement dual-affinity purification

    • Perform negative selection against lysates from SPAC13A11.05 deletion strains

    • Consider immunodepletion against closely related proteins

Detection and Characterization:

  • Systematic Testing:

    • Test antibody against lysates from strains overexpressing related proteins

    • Perform Western blots of fractionated samples to identify cross-reactive proteins

    • Use mass spectrometry to identify all proteins immunoprecipitated by the antibody

  • Bioinformatic Analysis:

    • Map epitopes using peptide arrays

    • Perform in silico analysis to identify proteins with similar epitopes

    • Create a database of potential cross-reactive proteins based on sequence similarity

Mitigation Strategies:

  • Experimental Design:

    • Use genetic controls (knockout/knockdown) in all experiments

    • Include competitive blocking with immunizing peptide

    • Consider using multiple antibodies targeting different epitopes

  • Data Analysis:

    • Implement quantitative analysis with normalization to appropriate controls

    • Develop algorithms to subtract background signal from known cross-reactive proteins

    • Use statistical methods to distinguish specific from non-specific signals

By systematically addressing cross-reactivity, researchers can significantly improve the reliability of experiments using SPAC13A11.05 antibodies.

What are the best approaches to quantify SPAC13A11.05 protein levels using antibody-based methods?

Accurate quantification of SPAC13A11.05 protein levels requires careful methodological choices and standardization:

Western Blot Quantification:

  • Sample Preparation Standardization:

    • Use consistent cell numbers and lysis conditions

    • Include internal loading controls (housekeeping proteins like GAPDH or tubulin)

    • Prepare standard curves using recombinant SPAC13A11.05 protein

  • Detection Optimization:

    • Use fluorescent secondary antibodies for wider linear range

    • Validate linear range of detection for both target and loading control

    • Capture images before saturation occurs

  • Analysis Methods:

    • Use densitometry software with background subtraction

    • Normalize to loading controls

    • Include technical and biological replicates (minimum n=3)

ELISA-Based Quantification:

  • Assay Development:

    • Generate a sandwich ELISA using two antibodies recognizing different epitopes

    • Create standard curves with purified recombinant protein

    • Validate assay sensitivity and specificity

  • Sample Processing:

    • Standardize protein extraction methods

    • Test multiple sample dilutions to ensure readings fall within the linear range

    • Include spike-in controls to assess matrix effects

Flow Cytometry Quantification:

  • Intracellular Staining Protocol:

    • Optimize fixation and permeabilization for antibody accessibility

    • Use fluorescence calibration beads to standardize measurements

    • Include isotype controls and competitive blocking controls

  • Data Analysis:

    • Report results as molecules of equivalent soluble fluorophore (MESF)

    • Use median fluorescence intensity rather than mean

    • Apply appropriate compensation and gating strategies

Quantification Comparison Table:

MethodSensitivityDynamic RangeAdvantagesLimitations
Western BlotModerate10-100 foldSize information, multiple proteinsSemi-quantitative, narrow linear range
ELISAHigh1000+ foldHigh-throughput, highly quantitativeNo size information, requires two non-competing antibodies
Flow CytometryHigh1000+ foldSingle-cell resolution, multiparameterComplex sample preparation, requires cell suspension
Mass SpectrometryVariable1000+ foldAbsolute quantification possibleExpensive, technically demanding

How can SPAC13A11.05 antibodies be modified for super-resolution microscopy applications?

Super-resolution microscopy offers unprecedented insights into protein localization and interactions at the nanoscale. Optimizing SPAC13A11.05 antibodies for these advanced techniques requires specific modifications:

For STORM/PALM Microscopy:

  • Conjugate antibodies with photoswitchable fluorophores (e.g., Alexa Fluor 647, Atto 488)

  • Maintain high labeling density while avoiding fluorophore self-quenching

  • Consider using smaller antibody fragments (Fab, nanobodies) to improve spatial resolution

  • Implement dual-color STORM using orthogonal photoswitchable pairs

For STED Microscopy:

  • Select fluorophores with appropriate photostability (ATTO 647N, Abberior STAR dyes)

  • Optimize fixation to minimize sample shrinkage and structural distortion

  • Consider using direct conjugation rather than secondary antibodies to reduce linkage error

  • Control labeling density to achieve optimal signal-to-noise ratio

For Expansion Microscopy:

  • Test antibody retention after sample expansion

  • Use digestion-resistant fixatives for better epitope preservation

  • Consider re-staining after expansion for improved signal

  • Validate spatial patterns with complementary super-resolution methods

These modifications enable visualization of SPAC13A11.05 localization and interactions at resolutions approaching 20nm, providing unprecedented insights into protein function and cellular organization in S. pombe.

What automated computational methods can improve SPAC13A11.05 antibody design?

Recent advances in computational biology enable more efficient and effective antibody design. For SPAC13A11.05 antibodies, the following approaches can be implemented:

Epitope Prediction and Optimization:

  • Implement machine learning algorithms to predict immunogenic epitopes

  • Use structural modeling to identify surface-exposed regions of SPAC13A11.05

  • Apply molecular dynamics simulations to account for protein flexibility

  • Incorporate evolutionary conservation analysis to avoid highly conserved regions

Antibody Structure Optimization:

  • Use computational design to enhance antibody affinity and specificity

  • Model antibody-antigen interactions to predict binding efficiency

  • Optimize complementarity-determining regions (CDRs) for improved binding

  • Simulate the effects of framework mutations on stability and specificity

High-Throughput Virtual Screening:

  • Screen virtual antibody libraries against SPAC13A11.05 models

  • Rank candidates based on predicted binding affinity and specificity

  • Select top candidates for experimental validation

  • Iterate design based on experimental feedback

These computational approaches can significantly reduce the time and resources required for antibody development while improving the quality of the resulting reagents.

How can systems biology approaches leverage SPAC13A11.05 antibodies for network analysis?

Systems biology aims to understand complex biological systems through integration of multiple data types. SPAC13A11.05 antibodies can serve as powerful tools in these approaches:

Interactome Mapping:

  • Use immunoprecipitation coupled with mass spectrometry to identify protein interaction partners

  • Implement proximity labeling (BioID, APEX) with SPAC13A11.05 antibodies for in vivo interaction mapping

  • Combine with crosslinking mass spectrometry for transient interaction detection

  • Integrate data into protein interaction networks to identify functional modules

Spatial Proteomics:

  • Use SPAC13A11.05 antibodies as markers for specific subcellular compartments

  • Implement multiplexed immunofluorescence for co-localization studies

  • Combine with fractionation approaches for biochemical validation

  • Map spatial relationships in different cellular states or stress conditions

Temporal Dynamics Analysis:

  • Track SPAC13A11.05 expression and localization changes during the cell cycle

  • Monitor response to environmental perturbations over time

  • Integrate with transcriptomic data to correlate protein and mRNA dynamics

  • Develop mathematical models to predict system behavior under different conditions

Multi-omics Integration:

  • Correlate SPAC13A11.05 protein levels with transcriptome, metabolome, and phosphoproteome data

  • Identify regulatory relationships and feedback mechanisms

  • Map SPAC13A11.05 to relevant metabolic pathways based on S. pombe metabolism

  • Generate testable hypotheses about SPAC13A11.05 function in cellular processes

These systems approaches provide a comprehensive understanding of SPAC13A11.05's role within the broader cellular context, enabling more targeted functional studies.

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