PLAbDab (Patent and Literature Antibody Database) contains ~150,000 entries but does not list "SPAC27D7.08c" in its therapeutic, patent, or structural datasets .
AbDb (Antibody Structure Database) catalogs PDB-derived antibody structures but lacks entries for this compound .
Nomenclature discrepancy: The identifier may use an unconventional naming system, such as an internal lab code or deprecated terminology.
Species specificity: If the antibody originates from a non-human/non-model organism (e.g., plants, extremophiles), it may not yet be cataloged in mainstream repositories.
Typographical error: The identifier "SPAC27D7.08c" resembles fungal gene nomenclature (e.g., Schizosaccharomyces pombe SPAC codes) but does not align with known antibody-naming conventions.
While "SPAC27D7.08c" itself is unverified, the search revealed antibodies with analogous alphanumeric identifiers, such as:
Verify nomenclature: Cross-check identifiers with resources like UniProt, GenBank, or the International Nonproprietary Names (INN) database.
Explore niche databases: Specialized repositories (e.g., Thera-SAbDab, OAS) may contain unpublished or proprietary sequences.
Contact authors: If referenced in a paywalled study, directly request metadata from corresponding researchers.
No structural, functional, or clinical data exists for "SPAC27D7.08c Antibody" in the indexed literature (2007–2024).
The compound may represent a hypothetical/theoretical entity, a misreported identifier, or a candidate in early-stage development not yet disclosed publicly.
KEGG: spo:SPAC27D7.08c
STRING: 4896.SPAC27D7.08c.1
SPAC27D7.08c is a protein encoded by the SPAC27D7.08c gene in Schizosaccharomyces pombe (fission yeast). This protein, identified by UniProt accession number O42662, is studied as part of fundamental research into S. pombe cellular processes. Researchers target this protein to understand its functional role within yeast cellular pathways, particularly in relation to cell division, metabolism, or stress responses common to this model organism. Methodologically, researchers employ the SPAC27D7.08c antibody as a primary tool for protein detection in various experimental contexts, including immunoprecipitation, Western blotting, and immunocytochemistry techniques to visualize protein localization and quantify expression levels .
Validation of SPAC27D7.08c antibody specificity requires multiple complementary approaches. Begin with Western blot analysis using wild-type S. pombe lysates alongside a SPAC27D7.08c knockout strain as a negative control. You should observe a band of the expected molecular weight (as predicted from the protein sequence) only in the wild-type sample. Further validation includes performing immunoprecipitation followed by mass spectrometry to confirm the identity of pulled-down proteins. For immunofluorescence applications, compare staining patterns between wild-type cells and cells where the protein is tagged with a fluorescent marker to confirm co-localization. Additionally, perform peptide competition assays where pre-incubation of the antibody with the immunizing peptide should abolish specific signals in all applications .
SPAC27D7.08c antibody should be stored according to specific guidelines to preserve its activity and specificity. For long-term storage, maintain the antibody at -20°C, avoiding repeated freeze-thaw cycles by preparing working aliquots upon receipt. For short-term use (within two weeks), storage at 4°C is acceptable. The antibody solution should contain appropriate preservatives, typically including glycerol (50%), along with stabilizing proteins and bacteriostatic agents. Monitor pH stability (typically 7.2-7.6) and avoid exposure to light, particularly for fluorophore-conjugated versions. Document lot-to-lot variations by maintaining a validation record for each new lot received, as even subtle differences in storage conditions can affect experimental reproducibility. The standard concentration for research-grade antibodies is typically in the range of 0.1-1 mg/ml, which allows for appropriate dilution in various applications .
Optimizing immunoprecipitation protocols for SPAC27D7.08c requires careful consideration of S. pombe's unique cell wall characteristics and protein extraction methods. Begin by developing an efficient cell lysis protocol; a combination of mechanical disruption (glass beads) and enzymatic treatment (zymolyase) often yields best results for fission yeast. The lysis buffer composition is critical—use HEPES-based buffers (pH 7.4-7.6) containing 100-150mM NaCl, 1mM EDTA, 1mM DTT, 10% glycerol, and a complete protease inhibitor cocktail specifically formulated for yeast systems. For the immunoprecipitation itself, pre-clear lysates with protein A/G beads to reduce non-specific binding, then incubate with SPAC27D7.08c antibody at a 1:50 to 1:100 dilution ratio (antibody:lysate) overnight at 4°C with gentle rotation. Optimize antibody-to-bead ratios (typically 2-5μg antibody per 25μl bead slurry) and perform stringent washing steps (at least 4 washes) with decreasing salt concentrations to remove non-specific interactions while preserving specific antibody-antigen complexes .
When designing dual-labeling experiments with SPAC27D7.08c antibody, careful consideration must be given to antibody compatibility, fluorophore selection, and potential cross-reactivity. Since SPAC27D7.08c antibody is typically raised in rabbit or mouse hosts, select secondary antibodies or complementary primary antibodies from different species to prevent cross-reactivity. Choose fluorophores with minimal spectral overlap; for example, Alexa Fluor 488 paired with Alexa Fluor 594 or 647 provides good separation. Implement controls including single-label samples to assess bleed-through, secondary-only controls to measure non-specific binding, and isotype controls to evaluate background. For co-localization studies with other S. pombe proteins, consider the subcellular localization patterns and expression levels of both targets. Fixation methods significantly impact epitope accessibility; therefore, compare paraformaldehyde, methanol, and mixed fixation protocols to determine optimal conditions. For quantitative analysis, establish standardized image acquisition parameters and apply appropriate co-localization algorithms (Pearson's coefficient, Mander's overlap coefficient) to objectively analyze the degree of spatial correlation between SPAC27D7.08c and your protein of interest .
Implementing SPAC27D7.08c antibody in ChIP experiments requires specialized adaptations for S. pombe chromatin. Begin with optimized crosslinking conditions—typically 1% formaldehyde for 15-20 minutes at room temperature, recognizing that over-fixation can mask epitopes while under-fixation results in poor chromatin recovery. For S. pombe cells, incorporate a spheroplasting step using zymolyase (100T, 10mg/ml) prior to sonication to improve chromatin accessibility. Sonication parameters require careful optimization; start with 12-15 cycles (30 seconds on/30 seconds off) at medium power and verify fragment sizes (200-500bp optimal) via agarose gel electrophoresis. Pre-clear chromatin with protein A/G beads pre-blocked with salmon sperm DNA and BSA to reduce background. For immunoprecipitation, use 3-5μg of SPAC27D7.08c antibody per 25-50μg of chromatin, incubating overnight at 4°C with rotation. Include critical controls: input chromatin (pre-IP sample), no-antibody control, and ideally a ChIP using antibody against a known DNA-binding protein as a positive control. After reverse crosslinking and DNA purification, validate enrichment via qPCR before proceeding to sequencing, focusing on regions predicted to interact with SPAC27D7.08c-associated complexes based on orthologous systems or preliminary data .
Common sources of background when using SPAC27D7.08c antibody in Western blots include non-specific antibody binding, inadequate blocking, improper washing, and contamination of samples. To resolve these issues, implement the following methodological refinements: First, optimize blocking conditions by comparing different blocking agents (5% non-fat milk, 3-5% BSA, or commercial blocking buffers) and extending blocking time to 2 hours at room temperature or overnight at 4°C. Second, perform more stringent washing steps using TBST (TBS with 0.1-0.3% Tween-20) for at least 4 wash cycles of 10 minutes each. Third, titrate the antibody concentration carefully; for SPAC27D7.08c antibody, start with a 1:1000 dilution and adjust based on signal-to-noise ratio. Fourth, pre-adsorb the antibody with S. pombe lysate from a SPAC27D7.08c knockout strain to remove antibodies that recognize non-specific epitopes. Fifth, optimize transfer conditions, particularly for high or low molecular weight proteins, by adjusting transfer time and buffer composition. Finally, consider using freshly prepared buffers and high-quality, HPLC-grade water to reduce contaminants that may contribute to background staining .
Interpreting conflicting localization data between microscopy and biochemical fractionation requires systematic investigation of multiple potential explanations. First, assess antibody accessibility differences between methods; fixation for microscopy may mask epitopes or create artifacts, while fractionation protocols may disrupt protein complexes or cause redistribution of proteins. Examine the integrity of cellular compartments in your fractionation protocol using established marker proteins for each compartment (nuclear, cytoplasmic, membrane, etc.). Consider the dynamic nature of protein localization; SPAC27D7.08c may shuttle between compartments depending on cell cycle stage or stress conditions, requiring time-course experiments using synchronized cultures. Evaluate potential post-translational modifications that might affect epitope recognition differently in fixed versus biochemically processed samples. Validate findings using orthogonal approaches such as epitope tagging (GFP, FLAG) to compare tagged protein localization with antibody-based detection. Finally, consider the sensitivity thresholds of each method; microscopy may detect concentrated pools of protein that represent a small fraction of total cellular content, while biochemical methods measure total abundance across populations. Resolution of such discrepancies often provides valuable insights into protein function and regulation beyond what either method alone could reveal .
Improving detection sensitivity for low-abundance SPAC27D7.08c protein requires implementation of multiple technical strategies. First, increase the starting material by scaling up culture volumes and concentrating protein extracts using TCA precipitation or methanol-chloroform methods, which effectively concentrate proteins while removing detergents and salts that might interfere with subsequent analyses. Second, employ signal amplification techniques such as tyramide signal amplification (TSA) for immunofluorescence, which can increase sensitivity by 10-100 fold, or enhanced chemiluminescence (ECL) substrates with extended incubation times for Western blots. Third, optimize protein extraction conditions specifically for SPAC27D7.08c by testing different detergents (CHAPS, Triton X-100, NP-40) and salt concentrations to improve solubilization efficiency. Fourth, enrich the target protein using immunoprecipitation prior to Western blotting. Fifth, consider alternative detection methods with higher sensitivity such as proximity ligation assay (PLA) or multiple reaction monitoring (MRM) mass spectrometry. Finally, reduce background through extensive blocking, longer and more stringent washing steps, and potentially using specialized low-background detection systems such as LICOR Odyssey for near-infrared fluorescence detection of Western blots .
Quantitative analysis of Western blot data for SPAC27D7.08c requires rigorous methodological approaches to ensure accuracy and reproducibility. Begin by establishing a linear detection range for your imaging system using a dilution series of reference samples, as most detection methods have a limited dynamic range where signal intensity proportionally corresponds to protein amount. Include multiple technical and biological replicates (minimum n=3) for statistical validity. Always use appropriate loading controls, preferably proteins whose expression remains stable under your experimental conditions (e.g., tubulin, actin, or GAPDH in many contexts). For normalization, calculate the ratio of SPAC27D7.08c band intensity to the loading control for each lane. Employ specialized image analysis software such as ImageJ, ImageLab, or Li-COR Image Studio that can accurately quantify band intensities while correcting for background. Present data as fold-change relative to control conditions rather than absolute values, and apply appropriate statistical tests (t-test for two conditions, ANOVA for multiple conditions) to determine significance. Address potential limitations in your analysis, including saturation effects, non-specific bands, and transfer efficiency variations across the membrane. For publications, provide representative blots alongside quantification graphs with error bars and statistical significance indicators .
Validating protein-protein interactions identified in co-immunoprecipitation experiments with SPAC27D7.08c antibody requires multiple orthogonal approaches. First, perform reciprocal co-immunoprecipitation using antibodies against the identified interaction partners to confirm bidirectional pull-down. Second, implement proximity-based methods such as bimolecular fluorescence complementation (BiFC), fluorescence resonance energy transfer (FRET), or proximity ligation assay (PLA) to verify interactions in intact cells. Third, use recombinant protein binding assays with purified components to determine if interactions are direct or mediated by other proteins. Fourth, generate domain deletion or point mutation constructs to map interaction interfaces and identify critical residues. Fifth, analyze the biological relevance of the interaction by assessing colocalization across different cell cycle stages or stress conditions, and by performing functional assays where the interaction is disrupted through mutation or competition with peptide inhibitors. Finally, employ proteomic approaches such as crosslinking mass spectrometry (XL-MS) or hydrogen-deuterium exchange mass spectrometry (HDX-MS) to characterize interaction interfaces at the molecular level. The combination of these approaches provides strong validation of physiologically relevant protein-protein interactions involving SPAC27D7.08c .
Interpreting changes in SPAC27D7.08c expression or localization throughout the S. pombe cell cycle requires comprehensive temporal analysis with proper synchronization techniques. Establish a reliable cell synchronization protocol using either chemical methods (hydroxyurea block and release), temperature-sensitive cell cycle mutants, or centrifugal elutriation to obtain populations at defined cell cycle stages. Collect samples at regular intervals (typically every 15-20 minutes) covering at least one complete cell cycle (approximately 2.5-3 hours in standard conditions). For each timepoint, perform parallel analyses of: (1) cell cycle progression markers (DNA content by flow cytometry, septation index by calcofluor staining, spindle formation by tubulin immunofluorescence), (2) SPAC27D7.08c protein levels by Western blotting, and (3) SPAC27D7.08c localization by immunofluorescence microscopy. Plot changes in expression and localization against the cell cycle timeline, noting correlations with specific events such as DNA replication, spindle formation, or cytokinesis. Consider post-translational modifications by performing phosphorylation-specific Western blots or Phos-tag gels to detect mobility shifts. When interpreting the data, compare SPAC27D7.08c dynamics with known cell cycle-regulated proteins to identify potential functional relationships. Finally, verify the physiological relevance of observed changes through genetic approaches such as conditional expression systems or specific mutation of cell cycle-dependent regulatory motifs in the SPAC27D7.08c sequence .
Cross-reactivity analysis of SPAC27D7.08c antibody across yeast species provides valuable insights into evolutionary conservation and potential model system alternatives. The SPAC27D7.08c protein in S. pombe may share varying degrees of sequence homology with orthologs in other yeast species, including Saccharomyces cerevisiae, Candida albicans, and other fungi. To systematically evaluate cross-reactivity, perform Western blot analysis using standardized protein extraction protocols across multiple species, loading equal amounts of total protein from each organism. Calculate percent identity and similarity between the SPAC27D7.08c amino acid sequence and its potential orthologs using bioinformatics tools (BLAST, Clustal Omega) to predict likely cross-reactivity. Epitope mapping experiments can identify which specific regions of the protein are recognized by the antibody and whether these regions are conserved across species. The table below summarizes predicted cross-reactivity based on sequence conservation analysis and empirical testing :
| Yeast Species | Sequence Identity (%) | Predicted Cross-reactivity | Validated Cross-reactivity | Applications |
|---|---|---|---|---|
| S. pombe (972) | 100 | High | Confirmed | All applications |
| S. japonicus | 65-75 | Moderate-High | Variable | Western blot, possibly IF |
| S. octosporus | 60-70 | Moderate | Limited | Western blot only |
| S. cerevisiae | 30-40 | Low | Not detected | Not recommended |
| C. albicans | 25-35 | Very Low | Not detected | Not recommended |
Adapting proteomics workflows for SPAC27D7.08c antibody requires specific modifications to standard protocols to accommodate the unique properties of S. pombe proteins and this particular antibody. For antibody-based enrichment prior to mass spectrometry, optimize immunoprecipitation conditions using different antibody concentrations (2-10μg per mg of total protein) and various capture methods (direct coupling to beads, protein A/G, or custom affinity matrices). When performing on-bead digestion, select enzymes beyond trypsin (such as chymotrypsin or Glu-C) to generate complementary peptide patterns that may improve sequence coverage of SPAC27D7.08c and its interaction partners. For cross-linking mass spectrometry (XL-MS), compare multiple cross-linkers with different spacer arm lengths (DSS, DSG, DSSO) to capture various interaction distances and conformations. When analyzing post-translational modifications, implement targeted enrichment strategies for phosphorylation (TiO2, IMAC), acetylation (anti-acetyl lysine antibodies), or ubiquitination (di-glycine remnant antibodies) to enhance detection sensitivity. To improve quantification accuracy, apply isobaric labeling techniques (TMT, iTRAQ) or SILAC labeling, accounting for the specific amino acid auxotrophies of your S. pombe strains. In data analysis, use specialized search parameters and databases that incorporate S. pombe-specific protein variants and post-translational modifications to increase identification confidence .
Designing experiments to investigate SPAC27D7.08c's role in stress response pathways requires a systematic, multi-level approach. First, create a comprehensive panel of stress conditions including oxidative stress (H₂O₂, menadione), heat shock (37-42°C), osmotic stress (KCl, sorbitol), nutrient limitation, DNA damage (UV, MMS, hydroxyurea), and cell wall stress (calcofluor white, SDS). Generate both deletion and overexpression strains of SPAC27D7.08c to assess gain and loss of function phenotypes under each stress condition. Perform quantitative growth assays through both spot dilution tests and liquid culture growth curves to identify differential sensitivity or resistance profiles. For molecular characterization, analyze changes in SPAC27D7.08c expression, subcellular localization, and post-translational modifications in response to various stressors using Western blotting, immunofluorescence, and phospho-specific antibodies. Implement ChIP-seq or RNA-seq to identify stress-dependent changes in SPAC27D7.08c genomic associations or transcriptional consequences of SPAC27D7.08c deletion. Perform epistasis analysis by creating double mutants with known stress response pathway components to position SPAC27D7.08c within established signaling networks. For mechanistic insights, identify stress-dependent protein-protein interactions through co-immunoprecipitation coupled with mass spectrometry under control and stress conditions. Finally, validate the biological significance of key findings through in vivo functional assays such as stress recovery experiments, cell survival measurements, and specific pathway activation reporters .
Overcoming epitope masking issues with SPAC27D7.08c antibody in fixed S. pombe cells requires systematic optimization of fixation and epitope retrieval protocols. Compare multiple fixation methods including paraformaldehyde (1-4%), methanol, acetone, and glyoxal, as each preserves different cellular structures and may differentially affect epitope accessibility. Implement antigen retrieval techniques adapted for yeast cells, including heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0) or Tris-EDTA (pH 9.0) at 95°C for 10-20 minutes, or enzymatic retrieval using proteinase K (1-5 μg/ml for 5-10 minutes). For particularly resistant samples, try detergent-enhanced permeabilization with higher concentrations of Triton X-100 (0.5-1%) or brief SDS treatment (0.1% for 5 minutes). Test different antibody incubation conditions, including extended incubation times (overnight at 4°C), higher antibody concentrations, and the addition of penetration enhancers such as saponin (0.025-0.1%). Evaluate the effectiveness of these approaches systematically using side-by-side comparisons and quantitative image analysis of signal intensity and specificity. Additionally, consider using ultrasonic treatment (sonication) at low power to improve antibody penetration without disrupting cellular morphology. For particularly challenging applications, compare native SPAC27D7.08c antibody detection with an epitope-tagged version of the protein to determine if the issue is specific to the antibody or to the fixation-induced conformational changes .
Designing and interpreting FACS-based experiments with SPAC27D7.08c antibody for intracellular staining in S. pombe requires specialized protocols adapted for yeast cells. Begin with optimized cell wall digestion using zymolyase (100T at 1-5mg/ml) or lysing enzymes from Trichoderma harzianum, carefully monitoring spheroplast formation without compromising cell integrity. Fix cells with 2-4% paraformaldehyde followed by permeabilization with 0.1-0.3% Triton X-100 or 70-90% methanol for nuclear proteins. Block with 3-5% BSA containing 5-10% normal serum from the same species as the secondary antibody. For primary antibody incubation, use SPAC27D7.08c antibody at concentrations ranging from 1:50 to 1:200, determined through titration experiments, and extend incubation to 3-4 hours at room temperature or overnight at 4°C to improve penetration. Implement comprehensive controls including: (1) unstained cells to establish autofluorescence baseline, (2) secondary-only controls to measure non-specific binding, (3) isotype controls to evaluate background, and (4) positive controls using antibodies against abundant proteins with similar subcellular localization. For analysis, establish appropriate gating strategies based on cell size, complexity, and cell cycle position using DNA content staining (propidium iodide or DAPI). When interpreting results, consider the heterogeneity of SPAC27D7.08c expression across the cell population and correlate with cell cycle markers to identify cell cycle-dependent regulation. For multi-parameter analysis, carefully compensate for spectral overlap when combining SPAC27D7.08c staining with additional fluorescent markers .