The SPBC1604.03c Antibody is listed in the Cusabio catalog (CSB-PA528426XA01SXV) as a specific reagent for studying S. pombe proteins . Key details include:
| Parameter | Value |
|---|---|
| Uniprot No. | O94369 |
| Species | S. pombe (strain 972/ATCC 24843) |
| Size | 2ml/0.1ml |
| Reactivity | Fission yeast proteins |
This antibody is part of a broader portfolio of S. pombe-specific antibodies targeting diverse cellular components, including proteins involved in cell wall synthesis, glucan metabolism, and septum assembly .
While specific validation data for SPBC1604.03c is not explicitly detailed, antibodies in this catalog are typically validated for:
Western blot (WB): Detecting protein expression in lysates.
Immunoprecipitation (IP): Enriching target proteins for downstream analysis.
Immunofluorescence (IF): Localizing proteins within yeast cells.
Comparable antibodies in the Cusabio range (e.g., SPBC1604.03c) often use recombinant protein immunogens and are purified via affinity chromatography . This ensures high specificity for S. pombe proteins, minimizing cross-reactivity with homologous sequences in other fungi.
The SPBC1604.03c Antibody aligns with studies investigating S. pombe cell wall dynamics and septum formation. For example:
Cell Wall Composition: S. pombe cell walls contain β-1,3-glucan, β-1,6-glucan, and α-1,3-glucan, with GPI-anchored proteins covalently linked to the glucan matrix .
Septum Assembly: Proteins like Sup11p, a β-1,6-glucan synthase, are critical for septum formation and cell division . Antibodies targeting such proteins enable functional studies of septum closure and cell wall remodeling.
While SPBC1604.03c’s exact target protein is not disclosed, its inclusion in the S. pombe antibody panel suggests utility in dissecting glucan synthesis or septum-related pathways.
The table below contrasts SPBC1604.03c with other S. pombe-reactive antibodies from the same catalog:
| Antibody Code | Uniprot No. | Target Protein |
|---|---|---|
| CSB-PA528426XA01SXV | O94369 | SPBC1604.03c (undisclosed) |
| CSB-PA891482XA01SXV | Q9US37 | SPAC1039.04 (cell wall protein) |
| CSB-PA891619XA01SXV | Q9UT43 | SPAC821.13c (membrane protein) |
This highlights the antibody’s niche within a specialized fission yeast research ecosystem .
Proper antibody validation is critical for ensuring reliability and reproducibility in your experiments with SPBC1604.03c. Begin by examining the manufacturer's validation data, which should include Western blot analysis showing detection of the target protein at the expected molecular weight using appropriate positive and negative controls . Validate the antibody in your own laboratory using multiple complementary techniques, such as immunohistochemistry (IHC), immunocytochemistry (ICC), and immunofluorescence (IF), to confirm specificity and sensitivity for your specific application and sample type. Consider performing a knockout or knockdown experiment to confirm the specificity of the antibody, as the absence of signal in cells lacking SPBC1604.03c expression provides strong evidence for antibody specificity. Additionally, competitive binding assays using purified SPBC1604.03c protein can be employed to demonstrate that the antibody binding is specifically inhibited by the presence of the target antigen.
Proper storage and handling are essential for maintaining antibody functionality and extending shelf life. Store lyophilized antibodies at -20°C for long-term storage, as recommended for the Anti-AS160/TBC1D4 antibody and many other research antibodies . After reconstitution, store the antibody at 4°C for short-term use (up to one month) or aliquot and store at -20°C for longer periods (up to six months) to minimize freeze-thaw cycles that can degrade antibody performance . Always centrifuge antibody vials before opening to collect all material at the bottom of the tube, and use sterile techniques when handling to prevent contamination. Record lot numbers, receipt dates, and internal validations in your laboratory notebook to track antibody performance over time. Additionally, consider adding preservatives such as sodium azide (0.02%) to reconstituted antibodies to prevent microbial growth, but be aware that sodium azide can interfere with certain enzyme-based detection systems.
Determining the optimal antibody dilution is a critical step that requires systematic testing to balance specific signal detection with minimal background. Start with the manufacturer's recommended dilution range, such as 0.25-0.5 μg/ml for Western blot applications as suggested for the anti-AS160/TBC1D4 antibody . Perform a titration experiment by testing multiple dilutions (typically a 2-fold or 3-fold dilution series) of the antibody under identical experimental conditions. Evaluate signal-to-noise ratio at each dilution by measuring both the specific signal intensity and background levels to identify the concentration that provides the strongest specific signal with the least background. Remember that optimal dilutions may vary significantly between applications; for example, the anti-AS160/TBC1D4 antibody uses different concentrations for Western blot (0.25-0.5 μg/ml) versus immunohistochemistry (2-5 μg/ml) . For SPBC1604.03c antibodies, you may need to consider the expression level of this protein in your yeast samples and adjust dilutions accordingly, particularly if working with different yeast strains or growth conditions.
Cross-reactivity assessment is particularly important when working with yeast proteins like SPBC1604.03c that may have homologs or structurally similar proteins. Begin by performing a comprehensive bioinformatic analysis to identify proteins with sequence or structural similarity to SPBC1604.03c in your experimental system, using tools such as BLAST, Pfam, or InterPro. Test the antibody against recombinant proteins or cell lysates expressing known homologs of SPBC1604.03c to directly assess cross-reactivity, and consider using knockout strains for these homologs as negative controls. Immunoprecipitation followed by mass spectrometry can provide an unbiased assessment of all proteins captured by the antibody, revealing potential cross-reactive targets that may not be obvious from sequence analysis alone. Additionally, epitope mapping can help identify the specific region of SPBC1604.03c recognized by the antibody, which can then be compared across protein databases to predict potential cross-reactivity with other proteins containing similar epitopes.
Studying post-translational modifications of SPBC1604.03c requires careful experimental design that accounts for the dynamic nature of these modifications. First, identify the specific modification sites on SPBC1604.03c through bioinformatic prediction tools and literature reviews, then select or generate phospho-specific antibodies that target these sites with high specificity. Include appropriate controls in your experiments, such as phosphatase-treated samples as negative controls and samples treated with phosphatase inhibitors to preserve phosphorylation status. When detecting phosphorylation by Western blot, use a dual detection approach where you first probe with the phospho-specific antibody, then strip and reprobe with a total SPBC1604.03c antibody to normalize phosphorylation levels to total protein expression. Consider combining antibody-based detection with mass spectrometry approaches for comprehensive phosphorylation site mapping, especially when studying previously uncharacterized modification patterns. Additionally, time-course experiments following stimulus application can provide valuable insights into the dynamics of SPBC1604.03c phosphorylation in response to cellular signaling events.
Chromatin immunoprecipitation with SPBC1604.03c antibodies requires several specialized considerations to ensure successful experiments. First, verify that your SPBC1604.03c antibody can recognize its epitope in the context of fixed chromatin by performing preliminary immunoprecipitation experiments under native conditions before proceeding with ChIP. Optimize crosslinking conditions carefully, as excessive crosslinking can mask epitopes and reduce antibody binding efficiency, while insufficient crosslinking may not adequately preserve protein-DNA interactions. Include appropriate controls in your ChIP experiments, such as a non-specific IgG control antibody and input samples, to assess background signal and calculate enrichment. When designing ChIP-qPCR primers, target multiple genomic regions where SPBC1604.03c is expected to bind, as well as negative control regions where no binding is anticipated. Consider using ChIP-sequencing rather than ChIP-qPCR for genome-wide binding analysis, which requires additional considerations for library preparation and sequencing depth. Additionally, if SPBC1604.03c functions as part of a protein complex, consider performing sequential ChIP (re-ChIP) experiments to confirm co-occupancy with known interaction partners at specific genomic loci.
High background in immunofluorescence experiments can obscure specific signals and complicate data interpretation when working with SPBC1604.03c antibodies. Begin troubleshooting by optimizing your blocking procedure, testing different blocking agents (BSA, normal serum, commercial blocking solutions) at various concentrations and incubation times to reduce non-specific binding. Increase the number and duration of washing steps between antibody incubations, using buffers containing mild detergents like Tween-20 or Triton X-100 to remove loosely bound antibodies. Titrate your primary and secondary antibodies to find the minimum concentration needed for specific signal detection, as excessive antibody concentrations often contribute to high background . Consider changing fixation methods, as overfixation can increase autofluorescence while underfixation may compromise cellular morphology and antigen retention. If using fluorophore-conjugated secondary antibodies, ensure they are stored properly and protected from light to prevent degradation that can lead to non-specific staining. Additionally, include appropriate negative controls in every experiment, such as samples without primary antibody and isotype control antibodies, to distinguish true signal from background.
Inconsistent Western blot results can stem from multiple sources that require systematic investigation to resolve. Examine your protein extraction protocol first, as incomplete lysis, degradation, or variable extraction efficiency can lead to inconsistent SPBC1604.03c detection; try different lysis buffers containing appropriate protease inhibitors and optimize extraction conditions for yeast cells specifically. Standardize your sample preparation by precisely quantifying protein concentration using reliable methods like BCA or Bradford assays and loading equal amounts across all lanes, verified by housekeeping protein detection or total protein staining. Check transfer efficiency with Ponceau S staining of membranes after transfer to confirm uniform protein loading and effective transfer across the entire membrane. Optimize blocking conditions, antibody concentrations, and incubation times based on signal-to-noise ratio as demonstrated in the Anti-AS160/TBC1D4 antibody protocol, which uses specific concentrations and carefully controlled conditions . Consider the epitope accessibility issue, especially if SPBC1604.03c forms complexes or undergoes conformational changes that might mask antibody binding sites under certain experimental conditions. Additionally, test multiple antibody lots if available, as lot-to-lot variations can significantly impact Western blot consistency even when following identical protocols.
Conflicting results between techniques require careful analysis to determine whether the discrepancies represent technical artifacts or biologically meaningful phenomena. Begin by examining the fundamental differences between the techniques used – for example, IF preserves cellular architecture but may have limited accessibility to certain subcellular compartments, while Western blotting of subcellular fractions disrupts cellular structure but provides biochemical purification of organelles. Consider whether the techniques employ different fixation methods that might differentially affect epitope accessibility or protein localization; for instance, paraformaldehyde fixation for IF versus unfixed samples for live-cell imaging may yield different localization patterns due to fixation artifacts. Evaluate whether the antibodies used in different techniques recognize different epitopes of SPBC1604.03c, as certain epitopes might be masked in specific cellular contexts or under particular experimental conditions. Perform complementary non-antibody-based approaches, such as expressing fluorescently tagged SPBC1604.03c, to provide independent verification of localization patterns. Additionally, consider dynamic localization as a possible explanation for conflicting results – SPBC1604.03c may shuttle between different subcellular compartments depending on cell cycle stage, stress conditions, or other physiological states, which could be captured differently by various techniques.
Super-resolution microscopy offers powerful approaches for visualizing SPBC1604.03c distribution in yeast cells beyond the diffraction limit, but requires specific optimization strategies. Begin by selecting appropriate super-resolution techniques based on your research questions – STORM or PALM for single-molecule localization precision, SIM for live-cell compatibility, or STED for highest resolution in fixed samples. Optimize sample preparation protocols specifically for yeast cells, which may include specialized cell wall digestion methods using enzymes like zymolyase to improve antibody penetration while preserving cellular structures. Select fluorophores with properties suitable for super-resolution imaging, such as photoswitchable dyes for STORM or photostable dyes for STED, and ensure your secondary antibodies are conjugated to these compatible fluorophores. Design drift correction strategies using fiducial markers appropriate for yeast cells, which are typically smaller than mammalian cells and require more precise drift compensation. Consider the three-dimensional organization of yeast cells when planning image acquisition parameters, including appropriate Z-sampling intervals and the need for astigmatism-based or multi-plane 3D super-resolution approaches. Additionally, develop quantitative image analysis workflows to extract meaningful spatial information about SPBC1604.03c distribution, such as cluster analysis, co-localization measurements with known organelle markers, or distance mapping relative to nuclear landmarks.
Integrating antibody-based isolation with mass spectrometry provides powerful insights into SPBC1604.03c interaction networks but requires careful experimental design. Start by optimizing immunoprecipitation conditions specifically for SPBC1604.03c, testing different lysis buffers that balance efficient protein extraction with preservation of native protein complexes; mild non-ionic detergents like NP-40 or digitonin often preserve interactions better than stronger detergents like SDS. Implement stringent controls including non-specific IgG immunoprecipitations, lysates from cells where SPBC1604.03c is deleted or depleted, and competitive elution with immunizing peptides to distinguish true interactors from background contaminants. Consider crosslinking approaches such as formaldehyde or specialized protein interaction crosslinkers before immunoprecipitation to capture transient or weak interactions that might be lost during standard IP procedures. Optimize elution conditions to maximize recovery of interacting proteins while minimizing antibody contamination, which can complicate mass spectrometry analysis; on-bead digestion protocols often provide cleaner samples than traditional elution methods. When analyzing mass spectrometry data, utilize quantitative approaches like SILAC, TMT labeling, or label-free quantification to distinguish enriched interactors from background proteins based on statistical significance rather than mere presence/absence. Additionally, validate key interactions identified by mass spectrometry using orthogonal methods such as co-immunoprecipitation with antibodies against putative interacting partners, proximity ligation assays, or FRET microscopy.
Quantitative analysis of SPBC1604.03c expression requires rigorous standardization and validation across multiple platforms. Establish reliable reference genes for qPCR normalization by systematically evaluating the stability of candidate reference genes under your specific experimental conditions using algorithms like geNorm or NormFinder, as reference gene stability can vary substantially across yeast strains and growth conditions. For Western blot quantification, implement total protein normalization using stain-free technology or reversible total protein stains as alternatives to single housekeeping proteins, which may vary under stress conditions or between genetic backgrounds. Develop a standard curve using recombinant SPBC1604.03c protein to establish the linear dynamic range of your detection method and ensure your experimental measurements fall within this range. Consider using automated Western blot systems with built-in quantification capabilities to reduce variability in transfer efficiency, antibody incubation, and signal detection steps across multiple experiments. For absolute quantification needs, explore targeted proteomics approaches such as selected reaction monitoring (SRM) or parallel reaction monitoring (PRM) with stable isotope-labeled peptide standards derived from SPBC1604.03c. Additionally, when comparing expression across different genetic backgrounds, consider using epitope tagging approaches (HA, FLAG, etc.) with commercially validated antibodies against these tags as a complementary strategy to overcome potential variations in antibody affinity due to sequence polymorphisms in SPBC1604.03c between strains.