SPBC947.15c Antibody

What is SPBC947.15c and why is it important in fission yeast research?

SPBC947.15c is a gene in Schizosaccharomyces pombe (fission yeast) that encodes a probable NADH-ubiquinone oxidoreductase, a mitochondrial enzyme with predicted NADH dehydrogenase activity (EC 1.6.5.9). This protein plays a critical role in the mitochondrial electron transport chain and cellular energy metabolism in S. pombe . Studying this protein using specific antibodies helps researchers understand fundamental aspects of mitochondrial function in eukaryotic cells, making it particularly valuable in comparative studies between yeast and higher eukaryotes.

What types of SPBC947.15c antibodies are available for research applications?

Currently, the primary type available is a rabbit polyclonal antibody raised against Schizosaccharomyces pombe (strain 972/24843) SPBC947.15c protein. These antibodies are purified through antigen-affinity methods and are of IgG isotype . While monoclonal antibodies might offer greater specificity for certain applications, the polyclonal nature of current SPBC947.15c antibodies provides broader epitope recognition, which can be advantageous in applications where protein conformation may vary or when detecting proteins with post-translational modifications.

How do I verify the specificity of SPBC947.15c antibody in my experiments?

Specificity verification is crucial before proceeding with extensive experiments. The most reliable approach involves multiple validation steps:

• Positive controls: Use wild-type S. pombe cell extracts where SPBC947.15c is expressed.

• Negative controls: Use knockout strains (if available) or RNA interference to reduce expression.

• Pre-absorption test: Similar to the methodology described in other yeast studies, incubate the antibody with recombinant SPBC947.15c protein immobilized on beads and use the unbound fraction for Western blot; compare with an antibody fraction incubated with beads alone .

• Band size verification: Confirm that the detected protein has the expected molecular weight (approximately 20.5 kDa based on similar yeast proteins) .

• Overexpression analysis: Compare band intensity between normal and SPBC947.15c-overexpressing strains.

What are the validated applications for SPBC947.15c antibody?

The SPBC947.15c antibody has been validated for several applications, primarily:

• ELISA (Enzyme-Linked Immunosorbent Assay): Useful for quantitative detection of SPBC947.15c in cell lysates.

• Western Blotting: The primary application, allowing for size-based identification and relative quantification of the protein in cell extracts .

While not explicitly validated, researchers may explore other potential applications based on similar antibodies:

• Immunoprecipitation: For studying protein interactions

• Immunofluorescence microscopy: To examine subcellular localization

• ChIP (Chromatin Immunoprecipitation): If SPBC947.15c has any DNA binding capabilities or associates with chromatin-bound proteins

How should I optimize Western blot protocols for SPBC947.15c detection?

Optimizing Western blot for SPBC947.15c requires careful consideration of several parameters:

• Sample preparation:

  • For total protein: Use denaturing lysis buffers containing protease inhibitors to prevent degradation

  • For subcellular fractionation: Follow established protocols for separating mitochondrial fractions

• Protein separation:

  • Use 12-15% acrylamide gels for optimal resolution of mitochondrial proteins

  • Include both reduced and non-reduced samples to account for potential disulfide bonding

• Transfer and blocking:

  • PVDF membranes typically provide better results than nitrocellulose for mitochondrial proteins

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

• Antibody dilution and incubation:

  • Start with 1:500-1:1000 dilution and optimize based on signal-to-noise ratio

  • Incubate overnight at 4°C for primary antibody

• Detection system:

  • Enhanced chemiluminescence (ECL) systems are usually sufficient

  • For weak signals, consider fluorescent secondary antibodies with digital imaging

How can I apply active learning approaches to optimize antibody-antigen binding predictions for SPBC947.15c studies?

Recent advancements in machine learning for antibody-antigen binding prediction can be applied to SPBC947.15c research. A structured approach would include:

• Initial dataset creation: Generate a small labeled dataset of SPBC947.15c epitopes with known binding properties.

• Iterative model improvement: Implement an active learning framework that:

  • Starts with limited labeled data

  • Identifies the most informative antibody-antigen pairs to test experimentally

  • Iteratively expands the labeled dataset based on model uncertainty

• Out-of-distribution handling: As shown in recent research, strategies that focus on out-of-distribution prediction can reduce the number of required antigen mutant variants by up to 35% and accelerate the learning process significantly .

• Algorithm selection: Choose from the three top-performing algorithms identified in recent studies that outperform random data labeling approaches .

• Validation approach: Use cross-validation and independent test sets to ensure model generalizability.

How can I use SPBC947.15c antibody in chromatin-bound protein studies?

Although SPBC947.15c is predicted to be a mitochondrial protein, investigating potential chromatin associations requires specialized approaches:

• Chromatin fractionation protocol:

  • Prepare spheroplasts from S. pombe cells using lysing enzyme (5 mg/ml) in spheroplast buffer

  • Resuspend in appropriate lysis buffer containing protease inhibitors

  • Homogenize and separate fractions through differential centrifugation

  • Use 100,000 × g centrifugation to separate membrane (P100) and cytosolic (S100) fractions

• Controls for fraction purity:

  • Use known mitochondrial markers (e.g., cytochrome c oxidase)

  • Include nuclear markers (e.g., histone H3)

  • Employ cytosolic markers (e.g., GAPDH)

• ChIP-seq approach:

  • If chromatin association is detected, proceed with ChIP-seq

  • Follow established protocols for fission yeast chromatin immunoprecipitation

  • Use appropriate sequencing depth (minimum 20 million reads)

  • Apply specialized peak calling algorithms suitable for yeast genomes

What approaches can resolve contradictory data about SPBC947.15c localization or function?

When facing contradictory data about SPBC947.15c (similar to conflicts observed in other yeast studies ), consider these systematic approaches:

• Cross-validation with multiple techniques:

  • Compare results from fractionation, immunofluorescence, and protein tagging

  • Use both N- and C-terminal tags to account for potential interference with localization signals

• Condition-dependent analysis:

  • Test protein localization under different growth conditions

  • Examine effects of metabolic stress, cell cycle stages, and environmental factors

• Genetic interaction studies:

  • Create double mutants with known mitochondrial and nuclear factors

  • Perform synthetic genetic array (SGA) analysis to identify functional relationships

• Post-translational modification analysis:

  • Investigate whether modifications like farnesylation affect localization (similar to Rhb1 in yeast)

  • Look for mobility shifts on SDS-PAGE that might indicate modifications

• Strain-specific differences:

  • Compare results between different S. pombe strains (e.g., 972 vs. other backgrounds)

  • Document and report any strain-specific discrepancies

How can I utilize flow cytometry with SPBC947.15c antibody for intracellular studies?

While not originally validated for flow cytometry, adapting techniques from similar studies suggests this protocol:

• Cell preparation:

  • Culture S. pombe cells to early-log phase

  • Fix cells with an appropriate fixation buffer (e.g., 4% paraformaldehyde)

  • Permeabilize with a gentle detergent solution (0.1-0.5% Triton X-100 or specialized permeabilization buffer)

• Antibody staining:

  • Block with 3-5% BSA in PBS

  • Incubate with SPBC947.15c primary antibody (1:100-1:200 dilution)

  • Wash thoroughly

  • Incubate with fluorophore-conjugated secondary antibody

• Controls and analysis:

  • Include isotype control antibodies

  • Use SPBC947.15c overexpression and knockdown strains as positive and negative controls

  • Set gates based on controls

  • Consider dual staining with mitochondrial markers to confirm co-localization

How do I interpret changes in SPBC947.15c expression under different experimental conditions?

Interpretation of SPBC947.15c expression changes requires careful analysis:

What are the common technical challenges when working with SPBC947.15c antibody and how can they be overcome?

Researchers may encounter several technical challenges when working with SPBC947.15c antibody:

• High background in Western blots:

  • Increase blocking time (up to 2 hours)

  • Try different blocking agents (milk, BSA, commercial blocking buffers)

  • Increase washing duration and frequency (5-6 washes, 10 minutes each)

  • Reduce primary antibody concentration

• Weak or absent signal:

  • Check protein extraction efficiency (especially for mitochondrial proteins)

  • Consider extending transfer time for Western blots

  • Try different epitope retrieval methods if using fixed samples

  • Increase antibody concentration or incubation time

• Multiple bands or unexpected band sizes:

  • Verify with positive controls and genetic manipulations

  • Consider post-translational modifications (similar to Rhb1 protein which shows doublet bands)

  • Add additional protease inhibitors to prevent degradation

  • Test both reducing and non-reducing conditions

• Batch-to-batch variability:

  • Maintain reference samples across experiments

  • Document lot numbers

  • Perform validation with each new antibody lot

  • Consider generating an internal standard for normalization

How can I reconcile differences between in vitro and in vivo findings about SPBC947.15c function?

Differences between in vitro and in vivo results are common in protein studies and require systematic investigation:

• Protein modification state:

  • In vitro systems may lack necessary post-translational machinery

  • Check for modifications like farnesylation that affect localization and function

  • Consider using cell extracts rather than purified components to maintain cofactors

• Protein interaction networks:

  • In vivo function may depend on specific protein complexes

  • Use techniques like BioID or proximity labeling to identify interaction partners

  • Design experiments that account for these interactions

• Environmental conditions:

  • Mitochondrial proteins are sensitive to metabolic state and energy demand

  • Test function under different carbon sources and growth conditions

  • Consider oxygen levels and mitochondrial respiration state

• Genetic background effects:

  • Create clean genetic backgrounds through backcrossing

  • Test function in different strain contexts

  • Document any strain-specific phenotypes