SPAPJ695.02 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
SPAPJ695.02 antibody; Uncharacterized protein PJ695.02 antibody
Target Names
SPAPJ695.02
Uniprot No.

Q&A

What is SPAPJ695.02 Antibody and what organism does it originate from?

SPAPJ695.02 Antibody is a research-grade antibody designed to recognize and bind to the SPAPJ695.02 protein (UniProt accession number G2TRM2) from Schizosaccharomyces pombe, commonly known as fission yeast (strain 972 / ATCC 24843) . This antibody serves as a valuable tool for detecting, isolating, and characterizing this protein in various experimental contexts. S. pombe is a well-established model organism in molecular and cellular biology research, particularly for studying cell cycle regulation, DNA damage response, and other fundamental cellular processes. The antibody enables researchers to track the expression, localization, and interactions of the target protein within experimental systems.

How can I verify the specificity of SPAPJ695.02 Antibody in my experiments?

To verify antibody specificity, implement a multi-faceted validation approach. Begin with Western blotting using both wild-type S. pombe lysates and SPAPJ695.02 knockout/deletion strains as negative controls. A specific antibody will show a single band at the expected molecular weight in wild-type samples and no signal in knockout samples. Follow with immunoprecipitation experiments coupled with mass spectrometry to confirm the antibody captures the intended target. Additionally, perform immunofluorescence microscopy comparing wild-type and knockout strains to assess specificity in cellular contexts . For comprehensive validation, consider epitope mapping using peptide arrays or hydrogen-deuterium exchange mass spectrometry to precisely identify the antibody's binding region, which helps explain potential cross-reactivity with related proteins.

What are the recommended storage and handling conditions for SPAPJ695.02 Antibody?

Optimal storage and handling of SPAPJ695.02 Antibody requires attention to several critical factors to maintain functionality. Store the antibody at -20°C for long-term stability or at 4°C for up to one month during active use periods. Avoid repeated freeze-thaw cycles by aliquoting the antibody into single-use volumes upon receipt. When handling, always work with clean pipettes and sterile microcentrifuge tubes to prevent contamination. Dilute working solutions in appropriate buffers containing stabilizing proteins (typically 0.1-1% BSA) and preservatives like 0.02% sodium azide for extended storage. Perform timed stability studies by testing aliquots at regular intervals to establish the working lifetime under your specific laboratory conditions . After each experiment, document any changes in antibody performance to develop a reliable stability profile.

What expression systems are suitable for studying the target of SPAPJ695.02 Antibody?

For studying the SPAPJ695.02 protein target, several expression systems offer distinct advantages depending on your experimental goals. The native S. pombe expression system provides the most physiologically relevant context, maintaining proper post-translational modifications and protein folding. Construct expression plasmids with endogenous or inducible promoters (nmt1) for controlled expression levels. For higher protein yields, E. coli systems using pET vectors are suitable for structural studies, though they may lack yeast-specific modifications. Alternatively, Pichia pastoris offers a eukaryotic environment with proper protein folding while achieving higher expression levels than S. pombe . For mammalian-compatible studies, consider Saccharomyces cerevisiae, which balances proper folding with moderate yields. When selecting an expression system, consider whether the research requires native protein interactions, specific post-translational modifications, or maximum protein quantity.

How can I utilize PLAbDab to find antibodies with similar binding characteristics to SPAPJ695.02 Antibody?

To leverage PLAbDab for identifying antibodies with similar binding characteristics to SPAPJ695.02 Antibody, implement a multi-step computational approach. First, determine the sequence of your SPAPJ695.02 Antibody and structure using ABodyBuilder2 modeling if the crystal structure is unavailable. Then, utilize PLAbDab's sequence similarity search functionality to identify antibodies with similar complementarity-determining regions (CDRs), particularly focusing on CDR-H3 which primarily determines binding specificity . For structural similarity searches, upload your antibody model to identify entries with similar binding pocket geometries, regardless of sequence homology. Additionally, search PLAbDab using keywords related to your antibody's functional characteristics or target epitopes. The database contains over 150,000 paired antibody sequences with associated structural models, providing a rich resource for comparative analysis . Consider combining sequence, structural, and keyword searches to create a comprehensive list of functionally similar antibodies that might recognize related epitopes on your target protein or demonstrate similar specificity profiles.

What advanced techniques can I use to analyze the epitope binding properties of SPAPJ695.02 Antibody?

For comprehensive epitope characterization of SPAPJ695.02 Antibody, employ multiple complementary advanced techniques. Begin with X-ray crystallography of the antibody-antigen complex to determine the precise atomic interactions at the binding interface. If crystallization proves challenging, use cryo-electron microscopy (cryo-EM) as an alternative structural approach. For solution-phase analysis, hydrogen-deuterium exchange mass spectrometry (HDX-MS) can identify regions of the antigen that become protected upon antibody binding . Combine this with cross-linking mass spectrometry (XL-MS) to identify residues in proximity at the binding interface. For functional epitope mapping, implement deep mutational scanning of the antigen, systematically mutating surface residues and assessing antibody binding affinity changes through surface plasmon resonance (SPR) or bio-layer interferometry (BLI) . Additionally, deploy computational approaches like molecular dynamics simulations to analyze binding energetics and conformational changes upon complex formation. This multi-method approach provides a comprehensive view of the structural, energetic, and functional aspects of the epitope recognition.

What considerations are important when designing experiments to study protein-protein interactions involving the target of SPAPJ695.02 Antibody?

When designing experiments to study protein-protein interactions involving the SPAPJ695.02 protein target, implement a multi-layered validation strategy. Begin with co-immunoprecipitation experiments using SPAPJ695.02 Antibody as the capture reagent, followed by mass spectrometry to identify interaction partners. Critically, include appropriate controls: IgG isotype controls, reverse co-IPs with antibodies against putative binding partners, and experiments in SPAPJ695.02 knockout strains to identify non-specific interactions . For spatial resolution, employ proximity labeling techniques like BioID or APEX2 by fusing these enzymes to your SPAPJ695.02 protein, allowing in vivo biotinylation of proximal proteins. Validate direct interactions using in vitro techniques such as surface plasmon resonance or isothermal titration calorimetry to determine binding constants. For structural insights, implement crosslinking mass spectrometry to map interaction interfaces. Consider the cellular context by comparing interactions under different physiological conditions, cell cycle stages, or stress responses. Finally, use CRISPR-mediated tagging of endogenous proteins to maintain native expression levels and avoid artifacts associated with overexpression systems.

What is the optimal protocol for using SPAPJ695.02 Antibody in immunoprecipitation experiments?

For optimal immunoprecipitation with SPAPJ695.02 Antibody, begin with careful cell lysis optimization. Harvest S. pombe cells during logarithmic growth phase and lyse using glass bead disruption in a buffer containing 50 mM HEPES (pH 7.5), 150 mM NaCl, 1 mM EDTA, 1% Triton X-100, 0.1% sodium deoxycholate, supplemented with protease and phosphatase inhibitors. Clear lysates by centrifugation (16,000 × g, 20 minutes, 4°C) . Pre-clear the lysate with Protein G beads for 1 hour at 4°C to reduce non-specific binding. For the immunoprecipitation, conjugate SPAPJ695.02 Antibody to Protein G magnetic beads (optimal ratio: 5 μg antibody per 50 μl bead slurry) using dimethyl pimelimidate for permanent coupling. Incubate pre-cleared lysate with antibody-conjugated beads overnight at 4°C with gentle rotation. Perform at least five washes with decreasing salt concentrations (from 300 mM to 150 mM NaCl) to reduce non-specific interactions while preserving specific ones. Elute bound proteins with SDS sample buffer for Western blotting analysis or with a gentler elution buffer (100 mM glycine, pH 2.5) for mass spectrometry or activity assays. Always include IgG control and SPAPJ695.02 knockout lysate as negative controls to identify background binding.

How should I optimize SPAPJ695.02 Antibody for immunofluorescence microscopy in S. pombe?

Optimizing SPAPJ695.02 Antibody for immunofluorescence microscopy in S. pombe requires careful attention to multiple parameters. Begin with fixation method testing: compare 4% paraformaldehyde (10 minutes), methanol (-20°C, 6 minutes), and glutaraldehyde (0.25%, 10 minutes) fixation to determine which best preserves antigen recognition while maintaining cellular architecture. For cell wall digestion, test a matrix of conditions varying zymolyase concentration (0.5-5 mg/ml) and digestion time (10-45 minutes) to achieve optimal cell permeabilization without morphological distortion . Perform antibody titration experiments testing dilutions from 1:100 to 1:2000 to identify the optimal signal-to-noise ratio. Implement a blocking optimization step comparing different blocking agents (5% BSA, 5% normal goat serum, or commercial blocking buffers) for minimizing background. For signal enhancement, evaluate different detection systems including direct secondary antibody conjugates, biotin-streptavidin amplification, and tyramide signal amplification. Always include positive controls (epitope-tagged protein) and negative controls (SPAPJ695.02 knockout strain) in parallel. Document optimization findings in a systematic table correlating each variable with signal intensity and specificity metrics to establish a reproducible protocol.

What are the key considerations for developing quantitative Western blotting methods using SPAPJ695.02 Antibody?

Developing robust quantitative Western blotting methods with SPAPJ695.02 Antibody requires systematic optimization of multiple parameters. First, establish the antibody's linear dynamic range by creating a standard curve using purified recombinant SPAPJ695.02 protein or serially diluted positive control lysates (0.5-50 μg total protein) . Determine optimal primary antibody concentration (typically 0.1-10 μg/ml) by testing dilutions that provide signal linearity without saturation. For detection systems, compare chemiluminescence, fluorescence, and infrared detection, with fluorescence-based methods generally providing superior quantitative performance. Implement loading controls strategically: for total protein normalization, use stain-free technology or total protein stains (SYPRO Ruby, Coomassie) rather than single housekeeping proteins, which may vary across conditions . Include technical replicates (minimum triplicate) and biological replicates (minimum n=3) for statistical validity. For the most accurate quantification, consider constructing the table below to document critical method parameters:

ParameterOptimized ConditionLinear RangeCV (%)
Sample loading15 μg total protein5-30 μg3.2%
Primary antibody1:1000 (0.5 μg/ml)1:500-1:20004.7%
Detection systemIR fluorescence0.1-100 ng target2.8%
Normalization methodTotal protein stain5-50 μg3.5%

Finally, validate method precision by calculating intra- and inter-assay coefficients of variation (<10% and <20%, respectively) across multiple independent experiments.

How can I design a CRISPR-Cas9 approach to study the function of the protein targeted by SPAPJ695.02 Antibody?

Designing an effective CRISPR-Cas9 approach to study the SPAPJ695.02 protein target requires careful consideration of the S. pombe genome and CRISPR system compatibility. Begin by identifying optimal guide RNA (gRNA) sequences targeting the SPAPJ695.02 gene using specialized tools like CHOPCHOP or CRISPick adapted for S. pombe's AT-rich genome. Select 3-4 guide sequences with high specificity scores and minimal off-target potential, preferably targeting early exons . For S. pombe, use a codon-optimized Cas9 expressed from the medium-strength nmt41 promoter to avoid toxicity from overexpression. Design repair templates for precise gene editing: for knockout studies, include a selectable marker (hygromycin B resistance) flanked by 50-80 bp homology arms; for tagging, incorporate fluorescent proteins or epitope tags maintaining the reading frame with a flexible glycine-serine linker . After transformation, confirm genomic modifications using PCR genotyping, sequencing, Western blotting with SPAPJ695.02 Antibody, and phenotypic analysis. For functional studies, implement conditional approaches such as auxin-inducible degron (AID) systems to allow temporal control of protein depletion. Establish rescue experiments with wildtype and mutant alleles to confirm phenotype specificity and perform complementation tests with orthologous genes to investigate evolutionary conservation of function.

How should I interpret conflicting results between SPAPJ695.02 Antibody immunofluorescence and live-cell imaging with fluorescently tagged targets?

When confronted with discrepancies between SPAPJ695.02 Antibody immunofluorescence and live-cell imaging using fluorescently tagged proteins, implement a systematic analytical approach to resolve these conflicts. First, critically evaluate each method's limitations: immunofluorescence may alter protein localization during fixation or create artifacts due to non-specific binding, while fluorescent tags might disrupt protein function or localization by interfering with interaction domains or targeting signals . Conduct validation experiments including: (1) N- versus C-terminal tagging to determine if tag position affects localization, (2) testing different fixation methods for immunofluorescence to minimize artifacts, (3) performing Western blots on subcellular fractions to biochemically verify localization patterns, and (4) conducting functional assays to determine which construct maintains native activity. Establish whether discrepancies occur under specific conditions such as different cell cycle stages or stress responses. Create a comprehensive comparison table documenting the precise conditions under which differences are observed, and integrate these findings with published data on related proteins. Finally, consider that both methods may be partially correct, revealing different subpopulations or conformational states of the same protein that are differentially detected by each approach.

What approaches can I use to analyze post-translational modifications of the protein recognized by SPAPJ695.02 Antibody?

To comprehensively analyze post-translational modifications (PTMs) of the SPAPJ695.02 protein target, implement a multi-faceted mass spectrometry-based workflow. Begin with immunoprecipitation using SPAPJ695.02 Antibody under non-denaturing conditions to capture the protein and its interacting partners . Process samples using a parallel enrichment strategy: (1) phosphopeptide enrichment using titanium dioxide or immobilized metal affinity chromatography, (2) ubiquitylation enrichment via K-ε-GG antibodies, and (3) glycopeptide enrichment using lectin affinity chromatography. Analyze enriched fractions using high-resolution LC-MS/MS with collision-induced dissociation and electron transfer dissociation fragmentation to maximize PTM identification. Implement data-independent acquisition for improved quantification of modification stoichiometry. Confirm key modifications using site-specific antibodies or targeted parallel reaction monitoring MS assays. For temporal dynamics, analyze samples across different cell cycle stages, stress conditions, or drug treatments using stable isotope labeling (SILAC) or tandem mass tag (TMT) approaches. Create a comprehensive PTM map documenting modification sites, their occupancy levels, and how they change under different conditions. Finally, perform functional studies of key modifications by creating point mutations that either prevent modification (e.g., S→A for phosphorylation) or mimic constitutive modification (e.g., S→E) to determine their biological significance.

How can I use bioinformatics to predict the structure and function of the SPAPJ695.02 antibody target protein?

To predict the structure and function of the SPAPJ695.02 target protein using bioinformatics, implement a comprehensive computational workflow beginning with sequence analysis. First, perform sequence homology searches using sensitive tools like HHpred and HMMER against multiple databases (UniProt, PDB, Pfam) to identify distant homologs . Apply secondary structure prediction algorithms (PSIPRED, JPred) and disorder prediction (DISOPRED3, IUPred2A) to map structured domains and intrinsically disordered regions. For domain architecture analysis, use InterProScan to identify conserved domains and motifs that suggest functional roles. For tertiary structure prediction, employ AlphaFold2 or RoseTTAFold to generate high-confidence structural models, followed by structure-based function prediction using ProFunc or COFACTOR . Identify potential binding sites and functional residues using ConSurf (evolutionary conservation analysis) and SitePredict (binding pocket prediction). For systems-level insights, analyze protein-protein interaction networks using STRING database and incorporate transcriptomic data to identify co-expressed genes. Create comparative genomics profiles by analyzing orthologs across fungal species to identify conserved features suggesting functional importance. Finally, integrate all predictions into a comprehensive model that hypothesizes protein function, generating testable experimental predictions that can be validated using SPAPJ695.02 Antibody in biochemical and cellular assays.

What statistical approaches should I use when analyzing quantitative data generated using SPAPJ695.02 Antibody?

When analyzing quantitative data generated using SPAPJ695.02 Antibody, implement appropriate statistical methodologies based on your experimental design and data characteristics. For Western blot densitometry or ELISA data, first assess normality using Shapiro-Wilk or Kolmogorov-Smirnov tests to determine whether parametric or non-parametric approaches are appropriate . For comparing two experimental groups, use Student's t-test for normally distributed data or Mann-Whitney U test for non-normal distributions. For multi-group comparisons, apply one-way ANOVA followed by post-hoc tests (Tukey's HSD for all pairwise comparisons or Dunnett's test when comparing against a control condition), or Kruskal-Wallis with Dunn's post-hoc test for non-parametric data . For time-course or dose-response experiments, implement two-way ANOVA or mixed-effects models to account for multiple variables. Calculate appropriate effect sizes (Cohen's d or η²) alongside p-values to quantify the magnitude of differences. For immunofluorescence quantification, use hierarchical statistical approaches that account for technical replicates (multiple cells per condition) nested within biological replicates. Consider Bayesian statistical frameworks for small sample sizes, which provide probability distributions rather than point estimates. Always perform power analysis prior to experiments to determine appropriate sample sizes, and correct for multiple comparisons using methods such as Benjamini-Hochberg to control false discovery rates when testing multiple hypotheses simultaneously.

What strategies can I use to address high background signal when using SPAPJ695.02 Antibody in immunostaining?

To systematically reduce high background in SPAPJ695.02 Antibody immunostaining, implement a comprehensive optimization strategy addressing multiple potential causes. First, optimize blocking conditions by testing different blocking agents (5% BSA, 5% normal serum from secondary antibody species, commercial blocking buffers) and extended blocking times (1-3 hours) . Adjust antibody concentration through titration experiments (1:100 to 1:2000) to identify the optimal dilution providing specific signal with minimal background. Implement stringent washing protocols using increased salt concentration (up to 500 mM NaCl) or mild detergents (0.1-0.3% Triton X-100) with extended wash durations (5 washes, 10 minutes each). If endogenous peroxidases contribute to background, include a quenching step (0.3% H₂O₂ in methanol for 30 minutes) before antibody incubation. For SPAPJ695.02 Antibody, pre-absorption against fixed SPAPJ695.02 knockout cells can remove cross-reactive antibodies that recognize fixation-induced epitopes. If autofluorescence is an issue, include a Sudan Black B treatment (0.1% in 70% ethanol) after secondary antibody incubation. Compare different fixation methods as overfixation can create non-specific binding sites. Document each optimization variable in a systematic table correlating each condition with quantitative signal-to-noise measurements to establish an evidence-based protocol that minimizes background while preserving specific signal.

How can I troubleshoot inconsistent Western blot results when using SPAPJ695.02 Antibody?

To systematically troubleshoot inconsistent Western blot results with SPAPJ695.02 Antibody, implement a structured approach targeting each potential source of variability. Begin by standardizing sample preparation: use consistent lysis buffers (RIPA buffer with protease inhibitor cocktail), protein quantification methods (BCA assay), and sample storage conditions (-80°C with minimal freeze-thaw cycles) . Optimize protein denaturation by comparing different sample buffer compositions and heating conditions (70°C for 10 minutes versus 95°C for 5 minutes) to ensure complete epitope exposure. For gel electrophoresis, standardize protein loading (15-20 μg), acrylamide percentage (10-12%), and running conditions (constant voltage versus constant current). During transfer, compare different membrane types (PVDF versus nitrocellulose) and transfer methods (wet versus semi-dry) to identify optimal protein transfer efficiency. For antibody incubation, implement a detailed optimization matrix varying antibody concentration (0.1-1 μg/ml), incubation temperature (4°C overnight versus room temperature for 2 hours), and washing stringency. Create a comprehensive troubleshooting table documenting each variable's effect on band intensity, specificity, and reproducibility. Additionally, implement positive controls (recombinant SPAPJ695.02 protein) and negative controls (SPAPJ695.02 knockout lysates) in each experiment to definitively assess antibody performance across experimental conditions.

What are the best approaches for validating antibody specificity when working with SPAPJ695.02 Antibody?

To comprehensively validate SPAPJ695.02 Antibody specificity, implement a multi-tiered approach that evaluates performance across different applications. Begin with genetic validation using CRISPR-Cas9 knockout or RNAi-mediated knockdown of the target gene in S. pombe, comparing signal in wild-type versus depleted samples across all intended applications (Western blot, immunoprecipitation, immunofluorescence) . For recombinant expression validation, express epitope-tagged SPAPJ695.02 protein and demonstrate co-localization of antibody signal with the epitope tag. Implement peptide competition assays by pre-incubating the antibody with excess synthetic peptide corresponding to the immunogen, which should abolish specific signal. For cross-reactivity assessment, test the antibody against closely related proteins from the same family to ensure selectivity. Perform immunoprecipitation followed by mass spectrometry to confirm the antibody captures the intended target and identify any off-target interactions. Document antibody performance across a range of concentrations (0.1-10 μg/ml) and experimental conditions, creating a comprehensive validation matrix for each application. Additionally, validate lot-to-lot consistency by comparing new antibody batches against a reference standard using quantitative metrics. This systematic validation approach establishes confidence in antibody specificity across multiple experimental contexts and provides a foundation for reproducible research.

How can I optimize SPAPJ695.02 Antibody for use in flow cytometry with S. pombe cells?

Optimizing SPAPJ695.02 Antibody for flow cytometry with S. pombe requires careful adaptation of protocols to address the unique challenges of these cells. Begin with fixation method testing: compare 70% ethanol, 4% paraformaldehyde, and methanol fixation to determine which best preserves antigen recognition while permitting adequate permeabilization . For cell wall digestion, implement a systematic matrix testing zymolyase concentrations (0.5-5 mg/ml) and incubation times (10-60 minutes) to achieve consistent permeabilization without cell lysis. Optimize permeabilization further using detergents (0.1-0.5% Triton X-100 or 0.01-0.1% saponin) if needed. For antibody staining, perform titration experiments testing concentrations from 0.1-10 μg/ml to identify the optimal signal-to-noise ratio, incubating for various durations (30 minutes to overnight) at different temperatures (4°C, room temperature). Include proper controls: unstained cells, isotype control antibody, and SPAPJ695.02 knockout cells as a negative control . For multi-parameter analysis, test different fluorophore combinations to minimize spectral overlap and implement compensation controls. Evaluate blocking conditions (1-5% BSA, normal serum, or commercial blocking buffers) to minimize non-specific binding. Document all optimization parameters in a comprehensive table correlating each condition with quantitative metrics (stain index, coefficient of variation, separation between positive and negative populations) to establish an evidence-based protocol that maximizes sensitivity and specificity.

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