The SPCC1827.05c Antibody (Product Code: CSB-PA524917XA01SXV) binds to the protein encoded by the SPCC1827.05c gene in Schizosaccharomyces pombe. This gene is annotated as a nucleolar RNA-binding protein NIFK (predicted), involved in RNA metabolism and nucleolar organization .
| Parameter | Details |
|---|---|
| Target Protein | SPCC1827.05c (UniProt: O74978) |
| Immunogen | Recombinant SPCC1827.05c protein |
| Host Species | Rabbit |
| Reactivity | Schizosaccharomyces pombe strain 972/ATCC 24843 |
| Applications | ELISA, Western Blot (WB) |
| Storage | -20°C or -80°C; avoid repeated freeze-thaw cycles |
| Purification Method | Antigen Affinity Purified |
| Conjugate | Non-conjugated |
The SPCC1827.05c gene product is a nucleolar RNA-binding protein with predicted roles in:
RNA processing: Binding to ribosomal RNA (rRNA) precursors during ribosome biogenesis .
Nucleolar organization: Structural maintenance of the nucleolus, a site for rRNA synthesis .
Gene Ontology (GO) annotations:
Specificity: Recognizes recombinant SPCC1827.05c protein at ~25 kDa in WB .
Cross-reactivity: No reported cross-reactivity with other S. pombe proteins .
Immunogen Sequence: Derived from residues 1–200 of the SPCC1827.05c protein .
The antibody enables:
Protein localization: Visualizing nucleolar distribution of SPCC1827.05c via immunofluorescence .
Interaction mapping: Identifying binding partners using co-immunoprecipitation (Co-IP) .
Knockout validation: Confirming loss of SPCC1827.05c expression in gene-deletion strains .
While SPCC1827.05c is yeast-specific, homologs in humans (e.g., NIFK) are implicated in:
Structural studies: Resolving the 3D architecture of SPCC1827.05c using cryo-EM.
Functional genomics: CRISPR-based screens to identify genetic interactors.
Therapeutic exploration: Testing yeast models for conserved pathways relevant to human diseases.
KEGG: spo:SPCC1827.05c
STRING: 4896.SPCC1827.05c.1
SPCC1827.05c is a gene in fission yeast (Schizosaccharomyces pombe) that encodes the Pof1 protein, an essential F-box protein homologous to components found in higher eukaryotes. Pof1 functions as part of the SCF (Skp1-Cullin-F-box) ubiquitin ligase complex that regulates protein degradation through the ubiquitin-proteasome pathway. The Pof1 protein contains specific structural domains including an F-box motif and WD40 repeats, which are critical for its function in substrate recognition and binding to the SCF complex. Mutation studies have revealed that alterations in the F-box motif region (F109S and S118P) interfere with Pof1 interactions with Skp1, while mutations in regions flanking the WD40 repeat domain (K246E and S566G) affect substrate binding capabilities .
SPCC1827.05c antibodies serve multiple fundamental research purposes in molecular and cellular biology laboratories. These include protein detection through Western blotting, immunoprecipitation for studying protein-protein interactions, immunofluorescence for cellular localization studies, and chromatin immunoprecipitation for analyzing protein-DNA interactions. Researchers frequently use these antibodies to investigate the SCF ubiquitin ligase complex function, ubiquitin-dependent proteolysis pathways, and gene expression regulation. In particular, SPCC1827.05c antibodies have been instrumental in demonstrating that Pof1 interacts with transcription factors like Zip1, as evidenced by co-immunoprecipitation experiments that revealed Pof1-GFP associations with phosphorylated forms of Zip1-HA .
Validating antibody specificity for SPCC1827.05c requires a multi-faceted approach. Western blot analysis comparing wild-type samples with knockdown or knockout controls is essential to confirm specificity. To thoroughly validate antibody specificity, researchers should perform immunoprecipitation followed by mass spectrometry to identify the captured proteins, similar to the approach used to confirm Abs-9 antibody specificity for its target antigen . Additionally, using strains with tagged versions of the protein (such as Pof1-GFP or Pof1-myc) allows researchers to compare signals between tagged and antibody detection methods. Cross-reactivity testing against related proteins, particularly other F-box family members, is also necessary to establish specificity. Documentation should include all validation experiments, showing both positive results with the target protein and negative controls to demonstrate absence of non-specific binding.
Optimizing antibody concentrations for SPCC1827.05c requires systematic titration across different experimental applications. For Western blotting, begin with a concentration range of 0.1-5 μg/ml, performing a dilution series to identify the minimum concentration yielding clear specific signal with minimal background. For immunoprecipitation, which typically requires higher antibody concentrations, start with 1-10 μg of antibody per sample and adjust based on the efficiency of target protein capture. For immunofluorescence, initial testing at 1-5 μg/ml is recommended with careful evaluation of signal-to-noise ratio. The antibody optimization process should include appropriate controls such as blocking peptides or knockout samples to distinguish specific from non-specific binding. Researchers should document optimization results in a standardized format, recording antibody dilutions, incubation times and temperatures, and buffer compositions that yield optimal results across different applications.
High-throughput single-cell RNA and VDJ sequencing techniques have revolutionized antibody development by enabling researchers to rapidly identify and characterize antibody-producing B cells with specific binding properties. This approach could significantly enhance SPCC1827.05c antibody development through comprehensive screening of memory B cells from immunized subjects. As demonstrated in recent research with S. aureus antibodies, this technique allowed scientists to isolate 676 antigen-binding IgG1+ clonotypes from which the most promising candidates were selected for further characterization . For SPCC1827.05c antibody development, researchers could adopt a similar workflow by immunizing animal models with recombinant SPCC1827.05c protein, isolating B cells, performing high-throughput sequencing, and identifying clonotypes with high affinity and specificity. This approach provides several advantages over traditional methods, including rapid identification of diverse antibody candidates, comprehensive epitope coverage, and the ability to select antibodies with optimal binding properties and minimal cross-reactivity with related F-box proteins.
Epitope mapping of SPCC1827.05c antibodies requires careful consideration of the protein's structural domains and functional regions. Researchers should prioritize the identification of epitopes that do not interfere with the protein's biological activity unless developing neutralizing antibodies. A multi-method approach is recommended, combining computational prediction methods similar to those used for SpA5 antibodies (Alphafold2 and molecular docking) with experimental techniques. For experimental validation, peptide arrays covering the entire SPCC1827.05c sequence can identify linear epitopes, while hydrogen-deuterium exchange mass spectrometry or X-ray crystallography provide definitive information about conformational epitopes. Critical regions to consider include the F-box motif (amino acids around positions 109-118) and regions flanking the WD40 repeats, as these are involved in protein-protein interactions with Skp1 and substrates like Zip1 . The resulting epitope map should be documented with visual representations showing antibody binding sites in relation to functional domains and known mutation sites of SPCC1827.05c.
Designing bispecific antibodies targeting SPCC1827.05c and its interaction partners requires a modular optimization approach focusing on both affinity and stability. Researchers should first identify key interaction partners of SPCC1827.05c, such as Zip1 or Skp1, based on known SCFPof1 complex interactions . The design process should begin with scFv (single-chain variable fragment) optimization against each target separately using structure-focused library design and yeast surface display techniques, similar to approaches used for other therapeutic antibodies . Following the single selection campaign, researchers should express selected scFvs for micro-scale profiling to assess binding affinity, stability, and functionality. Combining optimized modules into various bispecific formats allows for comparative testing to identify constructs with ideal properties. Researchers must evaluate biophysical characteristics (thermal stability, aggregation propensity), binding properties (affinity constants for both targets), and functional activity (impact on ubiquitination pathways). This modular approach enables rapid prototyping of multiple antibody designs, accelerating development of reagents for studying SPCC1827.05c protein-protein interactions.
Addressing cross-reactivity issues with SPCC1827.05c antibodies requires a comprehensive characterization and optimization strategy. Researchers should first perform detailed specificity profiling against closely related F-box proteins, particularly those with similar sequence homology in the WD40 repeat regions. Pre-absorption techniques can significantly reduce cross-reactivity by incubating the antibody with recombinant proteins containing conserved domains before application to experimental samples. Advanced negative selection strategies during antibody development, where antibodies binding to related proteins are removed from the pool, can yield more specific reagents. For particularly challenging applications, researchers may develop dual-recognition approaches using two different antibodies targeting distinct epitopes of SPCC1827.05c, similar to sandwich ELISA principles. In complex samples such as whole cell lysates, enrichment of the target protein fraction through subcellular fractionation or immunoprecipitation prior to analysis can reduce the influence of cross-reactive proteins. Additionally, implementing stringent washing conditions during immunoprecipitation experiments, as demonstrated in the Pof1-Zip1 interaction studies , can help minimize non-specific binding.
Optimizing immunoprecipitation of SPCC1827.05c from yeast samples requires careful consideration of lysis conditions, buffer composition, and antibody selection. Based on successful protocols used for similar experiments with Pof1-GFP and Zip1-HA , researchers should harvest yeast cells during logarithmic growth phase and perform mechanical lysis using glass beads in a lysis buffer containing 50 mM HEPES pH 7.5, 150 mM NaCl, 5 mM EDTA, 1% Triton X-100, supplemented with protease inhibitors (1 mM PMSF, 2 μg/ml aprotinin, 2 μg/ml leupeptin) and phosphatase inhibitors (10 mM NaF, 60 mM β-glycerophosphate). For optimal protein complex preservation, maintaining cold temperatures (4°C) throughout the procedure is critical. The cleared lysate should be pre-cleared with protein A/G beads for 1 hour before incubation with the SPCC1827.05c antibody (2-5 μg per mg of total protein) overnight at 4°C. After antibody incubation, add fresh protein A/G beads for 2-3 hours, followed by at least four washes with lysis buffer. To maintain transient interactions, consider using crosslinking agents like DSP (dithiobis(succinimidyl propionate)) at 1-2 mM for 30 minutes before lysis. For detecting unstable interacting proteins, consider using proteasome inhibitors like MG132 (10 μM) during cell growth and in lysis buffers, similar to the approach used in mts3-1 mutant experiments .
Quantitative comparison of SPCC1827.05c levels across different mutant strains requires a systematic approach combining appropriate normalization strategies with statistical validation. Western blotting with densitometry analysis serves as the primary method, but must be performed with rigorous controls. Researchers should prepare samples from wild-type and mutant strains grown under identical conditions, with at least three biological replicates per strain. Total protein loading should be precisely controlled (20-30 μg per lane) and verified using total protein stains (Ponceau S or SYPRO Ruby) rather than single housekeeping proteins, which may vary across mutants. For normalization, include an invariant control protein like Cdc2, as demonstrated in previous studies measuring Zip1 degradation . Quantification should employ software like ImageJ to measure band intensities, with background subtraction applied consistently across all samples. For each experiment, include a dilution series of one sample to verify linearity of detection. Statistical analysis should include ANOVA with appropriate post-hoc tests to determine significant differences between strains. Alternatively, more precise quantification can be achieved using targeted mass spectrometry (SRM/MRM) with isotope-labeled peptide standards specific to SPCC1827.05c.
Assessing the stability and half-life of SPCC1827.05c across different genetic backgrounds requires cycloheximide chase assays combined with time-course sampling. Following established protocols similar to those used for Zip1-HA degradation studies , researchers should first grow cells to mid-log phase (OD600 ~0.5) under appropriate conditions. Add cycloheximide at 100 μg/ml to inhibit new protein synthesis, then collect samples at defined time points (0, 15, 30, 60, 90, 120 minutes). For each time point, harvest equal cell numbers and prepare protein extracts using TCA precipitation or glass bead lysis methods. Analyze samples by Western blotting using anti-SPCC1827.05c antibodies or antibodies against epitope tags if using tagged versions. For quantification, normalize band intensities to the zero time point sample and plot the decay curve to calculate half-life using non-linear regression. This approach should be performed in wild-type strains and mutants with compromised protein degradation pathways (e.g., proteasome mutants like mts3-1) to identify factors influencing SPCC1827.05c stability. To identify post-translational modifications affecting stability, combine this approach with phosphatase treatments or analyze band migration patterns, similar to the approach used to identify phosphorylated forms of Zip1 .
For studying SPCC1827.05c interactions with other proteins, researchers should employ complementary techniques to validate and characterize protein-protein interactions. Co-immunoprecipitation (Co-IP) serves as the foundational approach, as demonstrated in studies of Pof1-Zip1 interactions , but should be optimized for interaction-specific conditions. For weak or transient interactions, consider in vivo crosslinking with formaldehyde (1%) or DSP (1-2 mM) prior to cell lysis. Proximity-based labeling methods like BioID or TurboID, where SPCC1827.05c is fused to a biotin ligase, allow identification of proximal proteins in living cells. For direct interaction studies, recombinant protein binding assays using purified components with techniques like surface plasmon resonance or biolayer interferometry provide binding kinetics information. Yeast two-hybrid screens can identify novel interaction partners, while mammalian two-hybrid assays confirm interactions in a different cellular context. For all approaches, include appropriate controls such as non-specific antibodies for Co-IP, catalytically inactive enzyme controls for proximity labeling, and unrelated proteins for binding assays. Visualization of interactions can be achieved through fluorescence techniques like FRET (Förster Resonance Energy Transfer) or BiFC (Bimolecular Fluorescence Complementation), providing spatial information about where interactions occur within cells.
When faced with conflicting results between different SPCC1827.05c antibodies, researchers should implement a systematic investigation process. First, carefully evaluate the epitopes recognized by each antibody through manufacturer documentation or epitope mapping experiments. Antibodies targeting different regions may yield different results if post-translational modifications or protein interactions mask specific epitopes. For instance, phosphorylation of Zip1 affected its detection pattern in Western blot analysis , and similar modifications might influence SPCC1827.05c detection. Second, verify antibody specificity using appropriate controls including SPCC1827.05c knockout/knockdown samples and peptide competition assays. Third, assess technical factors such as sample preparation methods, buffer compositions, and detection systems that might differentially affect antibody performance. Fourth, consider biological context - different cellular conditions or genetic backgrounds may alter SPCC1827.05c expression, localization, or modification state. To resolve discrepancies, researchers should employ orthogonal approaches such as mass spectrometry validation or tagged protein expression. Document all variables systematically and determine whether conflicting results reflect technical artifacts or genuine biological complexity. When publishing, transparently report discrepancies and provide detailed methods to allow proper interpretation by the scientific community.
Analyzing SPCC1827.05c antibody binding kinetics requires appropriate statistical approaches for both data fitting and comparative analysis. For primary data fitting of association and dissociation curves from techniques like biolayer interferometry or surface plasmon resonance, researchers should employ non-linear regression using models appropriate for the binding mechanism (1:1 Langmuir binding, bivalent analyte, or heterogeneous ligand models). Goodness-of-fit should be evaluated using residual plots and chi-square values rather than simply R² values. When comparing kinetic parameters (kon, koff, KD) between different antibodies or experimental conditions, researchers should perform experiments with at least three technical replicates and calculate means with standard deviations. For comparative analysis, parametric tests like ANOVA followed by appropriate post-hoc tests (Tukey's HSD or Bonferroni correction) can determine statistically significant differences between antibodies. For systems with complex binding behaviors, more sophisticated approaches like global fitting across multiple concentrations simultaneously provide more robust parameter estimates. Machine learning approaches can also help identify subtle patterns in binding data that might not be apparent through traditional analysis. When reporting kinetic data, researchers should include both fitted parameters with confidence intervals and raw sensorgrams to allow independent evaluation of the quality of fits.
Addressing poor antibody performance in specific buffer conditions requires systematic optimization of both buffer components and experimental protocols. Begin by evaluating the impact of pH, as even small deviations from optimal pH can significantly affect antibody-antigen binding. For SPCC1827.05c antibodies, test a range of pH values (6.0-8.0) in commonly used buffers (PBS, TBS, HEPES). Next, assess the effect of salt concentration, as ionic strength influences electrostatic interactions; test NaCl concentrations ranging from 50-500 mM. Additionally, investigate the impact of detergents, which can improve antibody access to epitopes but may also disrupt certain interactions if used at excessive concentrations. For SPCC1827.05c membrane association studies, compare results with different detergents (Triton X-100, NP-40, CHAPS) at various concentrations (0.1-1%). Blocking agents can also significantly impact specificity; compare BSA, non-fat milk, and commercial blocking reagents to identify optimal conditions. For challenging applications, consider additives like polyethylene glycol (PEG), which can enhance antibody-antigen interactions, or divalent cations (Ca²⁺, Mg²⁺) that may stabilize certain epitope conformations. Document optimization results in a structured format showing the effects of each variable on signal-to-noise ratio, and maintain consistency in optimized conditions across experiments to ensure reproducibility.
Detecting post-translational modifications (PTMs) of SPCC1827.05c requires specialized antibody approaches combined with appropriate biochemical techniques. Modification-specific antibodies that recognize specific PTMs (phosphorylation, ubiquitination, SUMOylation, etc.) provide the most direct method. To identify phosphorylation sites, researchers should employ a strategy similar to that used for Zip1 , using lambda phosphatase treatment of immunoprecipitated SPCC1827.05c to confirm phosphorylation and observe mobility shifts on SDS-PAGE. For ubiquitination detection, perform immunoprecipitation under denaturing conditions to disrupt non-covalent interactions, followed by Western blotting with anti-ubiquitin antibodies. Phos-tag SDS-PAGE can enhance separation of phosphorylated species for improved resolution of different phosphorylated forms. For comprehensive PTM mapping, combine immunoprecipitation with mass spectrometry analysis, using enrichment strategies specific to the modification of interest (e.g., titanium dioxide for phosphopeptides). To study dynamic regulation of PTMs, researchers should perform time-course experiments following relevant stimuli or cell cycle synchronization, as F-box proteins often show cell cycle-dependent regulation. Complementary approaches include in vitro kinase assays with recombinant SPCC1827.05c to identify responsible kinases, or in vivo labeling with modification-specific probes (e.g., alkyne-ubiquitin for click chemistry detection of ubiquitination).
The development of broad-spectrum antibodies for SPCC1827.05c research presents an opportunity to extend findings across species and functionally related proteins. Taking inspiration from recent advances in developing antibodies that neutralize multiple variants of pathogens, such as SC27 for SARS-CoV-2 , researchers could target highly conserved epitopes within F-box proteins. This approach would begin with comprehensive sequence alignment of SPCC1827.05c homologs across fungal species and related F-box proteins in higher eukaryotes to identify invariant regions. Structural analysis using computational methods like AlphaFold2 would help identify conserved structural elements that could serve as targets. For antibody development, researchers could implement high-throughput screening similar to that used for SpA5 antibodies , selecting candidates that demonstrate cross-reactivity with homologous proteins while maintaining specificity for the F-box protein family. Such broad-spectrum antibodies would enable comparative studies across species, facilitating evolutionary analysis of F-box protein function. Additionally, these antibodies could help identify novel F-box proteins in less-characterized organisms, expanding our understanding of ubiquitin-mediated proteolysis across the tree of life.
SPCC1827.05c antibodies have significant potential for studying disease models, particularly those involving dysregulation of ubiquitin-proteasome pathways. Given that F-box proteins regulate degradation of key cellular proteins, SPCC1827.05c homologs in higher eukaryotes may be implicated in various diseases including cancer, neurodegeneration, and inflammatory disorders. Researchers could develop cross-reactive antibodies that recognize both yeast SPCC1827.05c and its mammalian homologs, enabling translational research between simple model organisms and disease-relevant systems. These antibodies would facilitate studies comparing normal and pathological protein degradation pathways, potentially identifying therapeutic targets. For cancer research, SPCC1827.05c antibodies could help elucidate how F-box protein dysfunction contributes to aberrant cell cycle regulation and oncogenesis, particularly through interactions with transcription factors like Zip1 . In neurodegenerative disease models, these antibodies might reveal how protein aggregation relates to impaired protein degradation pathways. The modular antibody optimization approach described for therapeutic antibodies could be adapted to develop SPCC1827.05c-targeted reagents with specific properties for different experimental systems, from yeast to mammalian disease models, enabling mechanistic insights into conserved pathological processes.
Emerging antibody engineering technologies offer numerous opportunities to enhance SPCC1827.05c research tools. Bispecific antibody formats, similar to those developed for therapeutic applications , could simultaneously target SPCC1827.05c and its interaction partners, enabling visualization or manipulation of specific protein complexes in cells. Using yeast surface display and high-throughput screening approaches, researchers could develop antibodies with precisely tuned binding properties optimized for specific applications. CRISPR-based display systems could further expand antibody diversity through in vivo affinity maturation. Proximity-inducing antibody derivatives, where SPCC1827.05c antibodies are fused to enzymes like HRP, biotin ligase, or APEX2, would enable spatial proteomics to map the SPCC1827.05c interaction network with subcellular resolution. Antibody fragments with enhanced cellular penetration, such as nanobodies or single-domain antibodies, could facilitate live-cell imaging of SPCC1827.05c dynamics. Optogenetic or chemically-inducible antibody-based tools would allow temporal control over SPCC1827.05c interactions, enabling precise dissection of signaling dynamics. Additionally, antibody-drug conjugates could deliver inhibitors specifically to SPCC1827.05c-containing complexes, allowing targeted perturbation of ubiquitin ligase activity in specific cellular compartments. Each of these engineering approaches would benefit from the modular optimization strategy described for therapeutic antibodies , allowing rapid prototyping and refinement of SPCC1827.05c research tools.
Developing phospho-specific antibodies for SPCC1827.05c presents both significant challenges and valuable research opportunities. The primary challenge lies in identifying specific phosphorylation sites within SPCC1827.05c, as F-box proteins often contain multiple regulatory phosphorylation sites. Researchers should first perform phosphoproteomics analysis of purified SPCC1827.05c under various conditions to identify key phosphorylation events, similar to the approach used to characterize Zip1 phosphorylation . Once sites are identified, phospho-specific antibody development requires careful antigen design, using phosphopeptides that include the target phosphorylated residue with sufficient flanking sequence for specificity. Validation of these antibodies must include demonstrating loss of signal after phosphatase treatment and absence of signal in phospho-site mutants. The opportunities provided by successful phospho-specific antibodies are substantial, enabling researchers to monitor the activation state of SPCC1827.05c in response to various stimuli, track cell cycle-dependent regulation, and identify upstream kinases through inhibitor studies or in vitro kinase assays. These reagents would also facilitate studying how phosphorylation affects SPCC1827.05c interactions with Skp1 and substrates like Zip1, providing mechanistic insights into regulation of the SCFPof1 complex. Integration with other techniques like mass spectrometry and genetic approaches would create a comprehensive understanding of how post-translational modifications regulate ubiquitin-dependent proteolysis pathways in various cellular contexts.