SPAC3A12.08 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
SPAC3A12.08; Uncharacterized protein C3A12.08
Target Names
SPAC3A12.08
Uniprot No.

Target Background

Database Links
Subcellular Location
Membrane; Single-pass membrane protein.

Q&A

What is the SPAC3A12.08 protein and why is it important for research?

SPAC3A12.08 is a gene in the fission yeast Schizosaccharomyces pombe that encodes a protein involved in cellular processes. While specific information about this particular gene is limited in the search results, it appears to be part of the same family as SPAC3A12.06c, which is described as a "member of the sodium or calcium exchanger protein family of membrane transporters" . Understanding proteins encoded by such genes is crucial for elucidating fundamental cellular mechanisms in eukaryotic organisms, particularly since S. pombe serves as an important model organism with significant conservation of genetic pathways with humans.

What experimental applications are antibodies against SPAC3A12.08 typically used for?

Antibodies against yeast proteins like those encoded by SPAC3A12.08 are commonly employed in several experimental applications including:

  • Western blotting to detect protein expression levels and modifications

  • Immunohistochemistry (IHC) to visualize protein localization within cellular structures

  • Immunoprecipitation (IP) to isolate protein complexes and identify interacting partners

  • Chromatin immunoprecipitation (ChIP) if the protein has DNA-binding properties

  • Flow cytometry for quantitative analysis of protein expression in cell populations

Methods for these applications would be similar to those described for other antibodies, such as the Western blot protocol detailed for Human Serpin B3/SCCA1 Antibody, which uses PVDF membrane probed with specific concentrations of antibody followed by HRP-conjugated secondary antibody detection .

How should SPAC3A12.08 antibodies be validated before experimental use?

Proper validation of antibodies targeting yeast proteins requires several methodological approaches:

  • Specificity testing using knockout/deletion strains of S. pombe lacking the SPAC3A12.08 gene

  • Western blot analysis to confirm single band detection at the expected molecular weight

  • Peptide competition assays to verify binding to the target epitope

  • Cross-reactivity testing against related proteins, particularly other members of the same protein family

  • Comparison of results using multiple antibodies targeting different epitopes of the same protein

For immunohistochemistry applications, validation should include both positive and negative controls, similar to the approach described for Serpin B3/SCCA1 antibody, which demonstrated specific cytoplasmic staining in cancer cells .

What are the optimal conditions for using SPAC3A12.08 antibodies in Western blotting?

When performing Western blot analysis with antibodies against yeast proteins like SPAC3A12.08, researchers should consider:

  • Sample preparation: Total protein extraction from S. pombe requires effective cell wall disruption, typically using glass beads or enzymatic methods

  • Buffer composition: RIPA buffer containing protease and phosphatase inhibitors is recommended, similar to the approach described for skin tissue samples in the search results

  • Protein loading: 40-60 μg of total protein per lane is typically sufficient for detection of most yeast proteins

  • Membrane type: PVDF membranes often provide better results than nitrocellulose for yeast proteins

  • Blocking conditions: 5% non-fat dry milk or 5% BSA in Tris-buffered saline with 0.1% Tween-20 (TBST) for 1 hour at room temperature

  • Antibody dilution: Optimal dilution must be determined empirically, typically starting at 1:1000 and adjusting as needed

  • Detection method: HRP-conjugated secondary antibodies with enhanced chemiluminescence substrates provide sensitive detection

These parameters should be optimized for each specific antibody batch and experimental condition.

How can cross-reactivity issues be addressed when working with SPAC3A12.08 antibodies?

Cross-reactivity is a significant concern when working with antibodies against yeast proteins. To address this issue:

  • Perform preliminary alignment analysis of SPAC3A12.08 protein sequence against other S. pombe proteins to identify potential cross-reactive targets

  • Use antibodies raised against unique epitopes rather than conserved domains

  • Implement more stringent washing conditions (increased salt concentration or detergent) in immunoblotting protocols

  • Validate specificity using knockout strains where SPAC3A12.08 is deleted

  • Consider pre-absorbing the antibody with lysates from knockout strains to remove cross-reactive antibodies

  • When analyzing results, compare patterns of reactivity with predicted molecular weights of potential cross-reactive proteins

This approach is similar to validation strategies employed for other target-specific antibodies described in the scientific literature.

What are the considerations for fixation methods when using SPAC3A12.08 antibodies for immunofluorescence in S. pombe?

Fixation methodology is critical for successful immunofluorescence with yeast cells:

  • Cell wall considerations: S. pombe has a robust cell wall that must be partially digested to allow antibody penetration

  • Fixation reagents: 4% paraformaldehyde is commonly used, but methanol fixation may better preserve certain epitopes

  • Cell permeabilization: A combination of detergent treatment (0.1% Triton X-100) and enzymatic cell wall digestion (zymolyase or lysing enzymes) is typically required

  • Fixation timing: Over-fixation can mask epitopes, while under-fixation may compromise cellular structure

  • Temperature effects: Cold methanol fixation (-20°C) may preserve certain antigens better than room temperature fixation

  • Buffer composition: Phosphate buffers vs. HEPES buffers may influence epitope accessibility

Similar considerations would apply as those described for immunofluorescence protocols in the search results, which mention fixation in 10% neutral buffered formalin and antigen retrieval methods .

How can background issues be minimized when using SPAC3A12.08 antibodies for immunostaining?

High background is a common challenge when working with yeast immunostaining:

  • Blocking optimization: Test different blocking agents (BSA, normal serum, casein) at various concentrations (1-5%)

  • Antibody dilution: Titrate antibody concentrations to find the optimal signal-to-noise ratio

  • Washing procedures: Increase washing duration and number of washes with PBST or TBST

  • Secondary antibody selection: Use highly cross-adsorbed secondary antibodies to minimize non-specific binding

  • Autofluorescence reduction: Include a quenching step (0.1% sodium borohydride or 100mM NH₄Cl) before blocking

  • Pre-adsorption: Incubate primary antibody with non-specific proteins before application to samples

  • Negative controls: Include samples without primary antibody to assess secondary antibody non-specific binding

These approaches help reduce background similarly to methods mentioned for IHC staining in the search results, which describe specific antibody dilutions and incubation conditions .

What strategies can improve signal detection when working with low-abundance SPAC3A12.08 protein?

When target proteins are expressed at low levels, detection can be challenging:

  • Sample enrichment: Use subcellular fractionation to concentrate the compartment where SPAC3A12.08 is predominantly located

  • Signal amplification: Employ tyramide signal amplification (TSA) or other enzymatic amplification methods

  • Antibody concentration: Increase antibody concentration or incubation time, while monitoring background levels

  • Detection systems: Use high-sensitivity detection reagents such as SuperSignal West Femto for Western blots

  • Protein induction: Where possible, use conditions known to upregulate expression of the target protein

  • Exposure optimization: For Western blots, test multiple exposure times to capture weak signals

  • Cooled CCD cameras: For microscopy, use sensitive detection systems with cooled CCD cameras

These approaches align with detection methods described for Western blotting in the search results, which specify protein loading amounts and detection conditions .

How can epitope masking issues be addressed when working with SPAC3A12.08 antibodies?

Epitope masking can occur due to protein-protein interactions or post-translational modifications:

  • Antigen retrieval: For fixed samples, optimize antigen retrieval methods (heat-induced in citrate buffer pH 6.0 or EDTA buffer pH 9.0)

  • Denaturing conditions: For Western blots, ensure complete denaturation with appropriate SDS concentration and boiling time

  • Reducing agents: Test both reducing and non-reducing conditions to determine optimal epitope exposure

  • Detergent selection: Different detergents (Triton X-100, NP-40, SDS) may differentially expose epitopes

  • Multiple antibodies: Use antibodies recognizing different epitopes on the same protein

  • Pre-treatment with phosphatases or glycosidases: If phosphorylation or glycosylation mask epitopes

  • Fresh sample preparation: Minimize storage time of prepared samples to reduce artificial modifications

Similar antigen retrieval approaches are mentioned in the search results, which describe "heating the slides in 10 mM sodium citrate (pH 6.0) in a microwave for 10 min" for optimal epitope exposure.

How can SPAC3A12.08 antibodies be used for studying protein interactions and complexes?

Investigating protein interactions requires specialized methodological approaches:

  • Co-immunoprecipitation (Co-IP): Optimize lysis conditions to preserve protein-protein interactions while efficiently extracting SPAC3A12.08

  • Proximity ligation assay (PLA): Detect protein interactions in situ with high sensitivity by combining antibodies against SPAC3A12.08 and potential interacting partners

  • FRET analysis: Use fluorophore-conjugated antibodies for Förster resonance energy transfer to detect close proximity of proteins

  • Cross-linking studies: Apply protein cross-linkers before immunoprecipitation to capture transient interactions

  • Sequential immunoprecipitation: Perform tandem purifications to isolate specific complexes containing SPAC3A12.08

  • Mass spectrometry integration: Combine immunoprecipitation with mass spectrometry for unbiased identification of interaction partners

These approaches provide comprehensive analysis of protein complexes and networks involving SPAC3A12.08.

What are the best approaches for quantifying SPAC3A12.08 protein expression levels?

Accurate protein quantification requires rigorous methodological approaches:

  • Quantitative Western blotting: Use internal loading controls (housekeeping proteins) and standard curves with recombinant protein

  • ELISA development: Design sandwich ELISA systems for absolute quantification of SPAC3A12.08 in cell lysates

  • Mass spectrometry: Employ selected reaction monitoring (SRM) or parallel reaction monitoring (PRM) with isotope-labeled peptide standards

  • Flow cytometry: For single-cell quantification in populations when using cell-permeable antibodies or fixed/permeabilized cells

  • Automated image analysis: Quantify immunofluorescence intensity using software like ImageJ with appropriate background correction

  • Dot blot analysis: For rapid, semi-quantitative assessment of expression across multiple samples

Proper quantification includes statistical validation and technical replicates to ensure reproducibility of results.

How can machine learning approaches improve antibody-based detection of SPAC3A12.08?

Advanced computational methods can enhance antibody-based detection systems:

  • Epitope prediction: Computational tools can predict optimal epitopes for antibody generation against SPAC3A12.08

  • Active learning algorithms: As described in the search results, active learning strategies can "improve experimental efficiency in a library-on-library setting" and potentially enhance antibody-antigen binding prediction

  • Image analysis: Deep learning algorithms can improve signal detection and quantification in immunofluorescence images

  • Classification models: Machine learning can help distinguish true signals from artifacts in complex datasets

  • Predictive binding: Computational modeling of antibody-antigen interactions can help optimize experimental conditions

  • Cross-reactivity prediction: Algorithms can identify potential cross-reactive targets based on sequence and structural similarities

The search results mention that certain active learning algorithms "reduced the number of required antigen mutant variants by up to 35%, and sped up the learning process by 28 steps compared to the random baseline" , suggesting similar approaches could be valuable for optimizing SPAC3A12.08 antibody applications.

How can SPAC3A12.08 antibodies be adapted for live-cell imaging applications?

Live-cell imaging presents unique challenges for antibody applications:

  • Cell-permeable antibody fragments: Development of smaller antibody fragments (Fab, scFv, nanobodies) that can penetrate the yeast cell wall and membrane

  • Genetic fusion approaches: Expression of fluorescently-tagged anti-SPAC3A12.08 intrabodies within cells

  • Electroporation techniques: Optimization of electrical pulse parameters for introducing antibodies into intact yeast cells

  • Microinjection protocols: Direct introduction of antibodies into larger yeast cells

  • Cell wall permeabilization: Mild enzymatic treatment to facilitate antibody entry while maintaining cell viability

  • Protein complementation: Split fluorescent protein approaches where one half is fused to an anti-SPAC3A12.08 antibody fragment

Each approach requires careful optimization to maintain cell viability while achieving sufficient labeling for visualization.

What considerations are important when developing new antibodies against SPAC3A12.08?

Development of new antibodies requires strategic planning:

  • Epitope selection: Bioinformatic analysis to identify unique, exposed regions of SPAC3A12.08 with low homology to other proteins

  • Antigen preparation: Expression of full-length protein vs. peptide synthesis approaches

  • Host species selection: Consider the experimental applications when choosing the host species for antibody production

  • Monoclonal vs. polyclonal: Evaluate the tradeoffs between specificity (monoclonal) and epitope coverage (polyclonal)

  • Validation strategy: Plan comprehensive validation using SPAC3A12.08 knockout strains and overexpression systems

  • Application-specific testing: Design validation experiments for each intended application (Western blot, IF, IP)

  • Reproducibility testing: Ensure consistent performance across different protein preparations and experimental conditions

The approach would be similar to that used for developing the Human Serpin B3/SCCA1 Antibody described in the search results, which included comprehensive validation for multiple applications .

How can CRISPR-Cas9 technology complement antibody-based studies of SPAC3A12.08?

CRISPR-Cas9 approaches offer powerful complementary methods:

  • Endogenous tagging: Generation of strains expressing SPAC3A12.08 with epitope tags for detection using commercial tag antibodies

  • Knockout validation: Creation of SPAC3A12.08 knockout strains as negative controls for antibody validation

  • CRISPRi/CRISPRa: Implementation of CRISPR interference or activation to modulate SPAC3A12.08 expression for antibody sensitivity testing

  • Domain mapping: Generation of partial deletions to map antibody epitopes and function

  • Fluorescent protein knockin: Direct fusion of fluorescent proteins to compare with antibody staining patterns

  • Humanized yeast models: Replacement of SPAC3A12.08 with human homologs to test cross-species antibody reactivity

These genetic approaches provide essential controls and complementary data to strengthen antibody-based studies.

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