SPCC1672.09 Antibody

Shipped with Ice Packs
In Stock

Description

Antibody Nomenclature and Classification

Antibodies are typically named based on their target antigen, clonality (monoclonal/polyclonal), and conjugation (e.g., PE, HRP). For example, the NG2 Antibody (G-9) is a mouse monoclonal IgG2a κ antibody targeting melanoma-associated proteoglycan NG2. If "SPCC1672.09" follows this naming convention, it may indicate a specific clone (e.g., "09") and a catalog number (e.g., "SPCC1672").

Key Antibody Characteristics

From existing data:

  • Isotype: Monoclonal antibodies (e.g., Mouse IgG2a κ ) or polyclonal (e.g., Goat anti-Mouse IgG ).

  • Applications: Western blot (WB), immunoprecipitation (IP), immunofluorescence (IF), ELISA, and flow cytometry (FC).

  • Conjugates: PE, HRP, FITC, or Alexa Fluor® .

Antibody TypeTargetApplicationsSpecies Reactivity
NG2 (G-9)NG2 proteoglycanWB, IP, IF, ELISAMouse, Rat, Human
Bcl-9 (MAB3996)Human Bcl-9WBHuman
Mouse IgG Fc-PEHuman IgG FcELISA, FC, MultiplexHuman/Rhesus/Cynomolgus

Research Implications

Antibodies are critical for studying protein expression, signaling pathways, and disease mechanisms. For example:

  • NG2 is linked to tumor progression and vascular development .

  • Bcl-9 interacts with β-catenin in colorectal cancer .

  • IgG Fc-specific antibodies enable detection of immunoglobulins in multiplex assays .

Recommendations for "SPCCAntibody" Investigation

  1. Scientific Databases: Search PubMed, Scopus, or Google Scholar for peer-reviewed studies.

  2. Manufacturer Websites: Check catalogs from suppliers like Santa Cruz Biotechnology or R&D Systems .

  3. Antibody Databases: Use tools like Antibody Registry (antibodyregistry.org) for standardized metadata.

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
SPCC1672.09 antibody; Probable lipase C1672.09 antibody; EC 3.1.1.- antibody
Target Names
SPCC1672.09
Uniprot No.

Target Background

Function
This antibody is directed against a protein that is likely a lipase.
Database Links
Protein Families
AB hydrolase superfamily, Lipase family
Subcellular Location
Cytoplasm. Membrane; Single-pass type II membrane protein.

Q&A

What is SPCC1672.09 Antibody and what is its target?

SPCC1672.09 Antibody (product code CSB-PA530390XA01SXV) is a research-grade antibody that specifically targets the SPCC1672.09 protein (UniProt accession number O74430) found in Schizosaccharomyces pombe strain 972 / ATCC 24843, commonly known as fission yeast . This antibody serves as a molecular tool for detecting and studying this specific protein in various experimental settings. The antibody binds to specific epitopes on the target protein, allowing researchers to visualize, quantify, or isolate the protein from biological samples. The specificity of this interaction is determined by the antibody's affinity for its target epitope compared to its affinity for other epitopes, with higher differential affinity indicating greater specificity .

Understanding the exact target of this antibody is crucial because it affects experimental design, data interpretation, and the selection of appropriate controls. When working with SPCC1672.09 Antibody, researchers should familiarize themselves with the structural and functional characteristics of the target protein to ensure optimal experimental conditions and accurate data interpretation.

How should I validate SPCC1672.09 Antibody for my specific application?

Validation of SPCC1672.09 Antibody must be performed for each specific application to ensure reliable results. The validation process should focus on demonstrating both the specificity (ability to correctly detect the target epitope) and selectivity (ability to differentiate from similar epitopes) of the antibody in your experimental context .

A comprehensive validation approach includes:

  • Initial verification of product information: Confirm that the antibody specifications (host species, format, concentration) match your experimental requirements .

  • Application-specific validation: Each application (Western blot, immunohistochemistry, ELISA, etc.) requires separate validation as antibody performance can vary significantly between techniques .

  • Positive and negative controls: Use samples known to express or lack the target protein. For SPCC1672.09 in S. pombe, this might include wild-type strains versus knockout mutants.

  • Cross-reactivity testing: Assess potential cross-reactivity with similar proteins, especially if working with complex samples or closely related species .

  • Dilution optimization: Test different dilutions to identify the concentration that maximizes specific signal while minimizing background .

Remember that antibody validation is not a one-time process but should be repeated whenever experimental conditions change, including when working with new sample types or modified protocols.

What are the recommended storage conditions for maintaining SPCC1672.09 Antibody activity?

  • Temperature: Store antibody aliquots at -20°C for long-term storage. Antibodies in working solutions can typically be stored at 4°C for short periods (1-2 weeks) .

  • Avoid freeze-thaw cycles: Repeated freezing and thawing can degrade antibody quality. Create small, single-use aliquots before freezing to minimize the number of freeze-thaw cycles .

  • Storage buffer considerations: Most antibodies are supplied in buffers containing stabilizers and preservatives. Check the product information for specific buffer components and compatibility with your experimental system .

  • Working solution preparation: When preparing working dilutions, use high-quality, sterile buffers and consider adding protein stabilizers (such as BSA) and preservatives (such as sodium azide) to prevent microbial growth and protein degradation.

  • Monitoring stability: Periodically test antibody performance using consistent positive controls to ensure that storage conditions are maintaining antibody activity.

Proper storage not only extends the shelf life of the antibody but also contributes to experimental reproducibility by ensuring consistent antibody performance across experiments.

How can I optimize SPCC1672.09 Antibody for low-abundance protein detection in S. pombe?

Detecting low-abundance proteins like SPCC1672.09 in S. pombe requires strategic optimization of antibody use and signal amplification. Here's a methodological approach to enhance detection sensitivity:

  • Sample enrichment techniques:

    • Implement subcellular fractionation to concentrate the cellular compartment where SPCC1672.09 is predominantly located

    • Consider immunoprecipitation to enrich the target protein before detection

    • Use techniques like TCA precipitation to concentrate proteins from dilute samples

  • Signal amplification strategies:

    • Employ a biotin-streptavidin system for enhanced signal detection

    • Consider using tyramide signal amplification (TSA) which can increase sensitivity by 10-100 fold

    • For immunofluorescence, use quantum dots or other high-quantum yield fluorophores

  • Antibody incubation optimization:

    • Extend primary antibody incubation time (overnight at 4°C)

    • Test different blocking agents to reduce background while preserving specific signal

    • Optimize antibody concentration through careful titration experiments

  • Detection system selection:

    • For Western blots, consider using enhanced chemiluminescence (ECL) substrates designed for ultra-sensitive detection

    • In immunohistochemistry, implement polymer-based detection systems rather than standard ABC methods

    • For flow cytometry, use tandem dyes with higher staining indices

  • Dual-recognition approach:

    • Implement sandwich assays using two different antibodies recognizing distinct epitopes on SPCC1672.09, which significantly enhances detection specificity and sensitivity

Remember that antibodies against low-abundance proteins are often less versatile across different assay types, so thorough validation in your specific application is essential .

What are the best approaches for resolving cross-reactivity issues with SPCC1672.09 Antibody?

Cross-reactivity can significantly compromise experimental results when working with SPCC1672.09 Antibody. The following methodological approaches can help identify and resolve cross-reactivity issues:

  • Systematic investigation of cross-reactivity:

    • Perform Western blots on lysates from wild-type and SPCC1672.09 knockout S. pombe strains

    • Analyze bands at unexpected molecular weights, which may indicate cross-reactivity

    • Implement pre-adsorption tests using purified SPCC1672.09 protein to confirm specificity

  • Optimization of antibody concentration:

    • Cross-reactivity often occurs when antibodies are used at excessive concentrations

    • Perform careful titration experiments to identify the minimum concentration needed for specific detection

    • Remember that even highly specific antibodies can exhibit non-specific binding at high concentrations

  • Modification of experimental conditions:

    • Adjust blocking conditions by testing different blocking agents (BSA, milk, serum)

    • Modify washing procedures by increasing wash time, volume, or detergent concentration

    • Optimize buffer composition by testing different salt concentrations and pH values

  • Alternative detection strategies:

    • If possible, use two antibodies targeting different epitopes on SPCC1672.09 in a sandwich assay format

    • Consider epitope-tagged versions of SPCC1672.09 and commercial tag-specific antibodies

    • Implement competitive binding assays to distinguish specific from non-specific signals

  • Advanced antibody purification:

    • If cross-reactivity persists, consider additional purification steps such as cross-adsorption against proteins from relevant species

    • For polyclonal antibodies, affinity purification against the specific immunizing peptide can significantly reduce cross-reactivity

Careful documentation of all cross-reactivity testing is essential, as it provides context for data interpretation and troubleshooting in future experiments.

How does fixation affect SPCC1672.09 Antibody epitope recognition in microscopy applications?

The impact of fixation on SPCC1672.09 Antibody epitope recognition is a critical consideration for immunofluorescence and immunohistochemistry applications with S. pombe cells. Different fixation methods can significantly alter protein conformation and epitope accessibility:

  • Chemical fixation mechanisms and their effects:

    • Formaldehyde/paraformaldehyde creates cross-links between proteins that can mask epitopes

    • Glutaraldehyde provides stronger fixation but often results in higher autofluorescence and more extensive epitope masking

    • Methanol and acetone precipitate proteins and remove lipids, preserving some epitopes while destroying others

  • Optimizing fixation protocols for SPCC1672.09 detection:

    • Test multiple fixation methods in parallel (e.g., 4% paraformaldehyde, 70% ethanol, methanol/acetone)

    • Vary fixation duration (10 minutes to overnight) to balance cell preservation and epitope accessibility

    • Consider dual fixation approaches (brief paraformaldehyde followed by methanol) for preserving both structure and antigenicity

  • Antigen retrieval methods:

    • Heat-induced epitope retrieval (HIER) in citrate buffer (pH 6.0) or Tris-EDTA (pH 9.0)

    • Enzymatic retrieval using proteases like proteinase K or trypsin

    • Detergent-assisted epitope unmasking with Triton X-100 or saponin

  • Quantitative assessment of fixation effects:

    • Implement side-by-side comparison with alternative detection methods (e.g., fluorescent protein tags)

    • Use digital image analysis to quantify signal intensity across different fixation conditions

    • Document morphological preservation alongside antibody detection efficacy

  • Cell wall considerations specific to S. pombe:

    • S. pombe's rigid cell wall may require enzymatic digestion (e.g., with zymolyase) prior to fixation

    • The timing of cell wall digestion relative to fixation can dramatically influence antibody accessibility

    • Test spheroplasting efficiency through cell wall staining (e.g., with calcofluor white)

Remember that the optimal fixation method must be determined empirically for each antibody-epitope combination and may vary depending on the subcellular localization of SPCC1672.09 .

What controls should be included when using SPCC1672.09 Antibody in immunoblotting experiments?

Robust experimental design for immunoblotting with SPCC1672.09 Antibody requires comprehensive controls to ensure result validity and interpretability. The following controls should be systematically implemented:

  • Positive and negative sample controls:

    • Positive control: Wild-type S. pombe lysate known to express SPCC1672.09 protein

    • Negative control: Lysate from a SPCC1672.09 knockout or knockdown strain

    • Recombinant protein: Purified SPCC1672.09 protein (if available) as reference standard

  • Antibody controls:

    • Primary antibody omission: Replace primary antibody with buffer to assess secondary antibody specificity

    • Isotype control: Use non-specific antibody of the same isotype to evaluate background

    • Pre-adsorption control: Pre-incubate antibody with excess target antigen to confirm specificity

  • Loading and transfer controls:

    • Total protein stain: Use reversible total protein stains (e.g., Ponceau S) to confirm equal loading

    • Housekeeping proteins: Detect stable reference proteins (e.g., α-tubulin/nda2 in S. pombe) to normalize signals

    • Molecular weight markers: Include standardized markers to confirm target identification by size

  • Processing controls:

    • Replicate samples: Process multiple biological replicates to assess reproducibility

    • Sample preparation control: Prepare all samples simultaneously using standardized protocols

    • Dilution series: Load a dilution series of positive control to establish the linear detection range

  • Analysis controls:

    • Exposure series: Capture multiple exposures to prevent signal saturation

    • Software controls: Use consistent image acquisition and analysis parameters across experiments

    • Quantification control: Include internal calibration samples for accurate quantification

Implementing these controls systematically allows for confident interpretation of results and helps distinguish between true signals and artifacts, which is particularly important when studying proteins like SPCC1672.09 in specialized model organisms.

How should I design experiments to compare SPCC1672.09 protein levels across different S. pombe strains or conditions?

Designing robust comparative experiments for SPCC1672.09 protein levels requires careful consideration of experimental variables and quantification methods. Here's a methodological framework:

By implementing this framework, researchers can generate reliable comparative data on SPCC1672.09 expression across different experimental conditions, ensuring statistical rigor and biological relevance.

What are the methodological considerations for using SPCC1672.09 Antibody in co-immunoprecipitation experiments?

Co-immunoprecipitation (Co-IP) with SPCC1672.09 Antibody requires careful methodological consideration to preserve protein-protein interactions while achieving specific precipitation. Here's a detailed approach:

  • Pre-experiment antibody validation:

    • Confirm that SPCC1672.09 Antibody can recognize the native protein conformation

    • Test antibody binding in the specific lysis buffer conditions planned for Co-IP

    • Determine optimal antibody concentration through pilot experiments

    • Consider whether the antibody's binding site might interfere with protein interactions

  • Lysis buffer optimization:

    • Balance solubilization efficiency with preservation of protein-protein interactions

    • Test different detergent types and concentrations (e.g., 0.5-1% NP-40, 0.5% Triton X-100)

    • Adjust salt concentration (typically 100-150mM NaCl) to minimize non-specific interactions

    • Include protease inhibitors, phosphatase inhibitors, and reducing agents as appropriate

  • Experimental procedure optimization:

    • Crosslinking consideration: Implement reversible crosslinking (e.g., DSP, formaldehyde) for transient interactions

    • Pre-clearing strategy: Pre-clear lysates with protein A/G beads to reduce non-specific binding

    • Antibody coupling method: Compare direct antibody addition versus pre-coupled antibody-bead complexes

    • Incubation conditions: Optimize temperature (4°C) and duration (2h to overnight) to balance binding efficiency and specificity

  • Controls and validation steps:

    • Input control: Save an aliquot of pre-IP lysate for comparison

    • Isotype control: Use non-specific antibody of the same isotype and concentration

    • Bead-only control: Process a sample without antibody to identify bead-binding proteins

    • Reciprocal IP: If possible, perform reverse Co-IP using antibodies against suspected interaction partners

  • Detection and analysis strategies:

    • Use highly sensitive detection methods for low-abundance interaction partners

    • Consider mass spectrometry for unbiased identification of co-precipitated proteins

    • Implement SILAC or TMT labeling for quantitative comparison between conditions

    • Validate novel interactions through orthogonal methods (e.g., proximity ligation assay)

By systematically addressing these methodological considerations, researchers can optimize Co-IP experiments with SPCC1672.09 Antibody to identify genuine interaction partners while minimizing artifacts and false positives.

How should I interpret unexpected molecular weight bands when using SPCC1672.09 Antibody in Western blots?

Unexpected bands in Western blots using SPCC1672.09 Antibody require systematic analysis to determine whether they represent biologically relevant signals or artifacts. Here's a methodological approach to band interpretation:

  • Systematic characterization of unexpected bands:

    • Document precise molecular weights of all observed bands

    • Assess band intensity and reproducibility across replicates

    • Evaluate whether bands appear in negative controls

    • Compare band patterns across different experimental conditions

  • Potential biological explanations:

    Band PatternPossible Biological ExplanationValidation Approach
    Higher MW than expectedPost-translational modificationsPhosphatase/glycosidase treatment
    Lower MW than expectedProteolytic cleavage productsProtease inhibitor panel testing
    Multiple specific bandsSplice variantsRT-PCR to detect variant transcripts
    Dimers/multimersProtein complexes resistant to denaturationMore stringent denaturation conditions
  • Technical artifact assessment:

    • Evaluate sample preparation variables (lysis buffer, heating time/temperature)

    • Test different reducing agent concentrations to rule out disulfide-linked complexes

    • Implement gradient gels to improve separation in the relevant molecular weight range

    • Compare fresh versus stored samples to identify degradation products

  • Advanced validation strategies:

    • Use genetic approaches (knockout/knockdown) to confirm band specificity

    • Implement epitope mapping to determine which bands contain the target epitope

    • Consider mass spectrometry identification of excised bands

    • Test alternative antibodies targeting different epitopes of SPCC1672.09

  • Data reporting best practices:

    • Clearly indicate all bands observed in published figures

    • Document experimental conditions that affect band patterns

    • Provide molecular weight markers on all blot images

    • Explain the interpretation of each band in figure legends

Remember that unexpected bands may represent biologically significant information rather than experimental artifacts, particularly for proteins like SPCC1672.09 where post-translational processing may occur under specific conditions .

What approaches can resolve data inconsistencies when SPCC1672.09 Antibody results contradict other experimental methods?

When results obtained using SPCC1672.09 Antibody contradict findings from other methods, a systematic troubleshooting approach is essential to resolve data inconsistencies:

  • Methodological comparison analysis:

    • Document specific aspects of contradiction (e.g., localization, expression level, molecular weight)

    • Evaluate the underlying assumptions and limitations of each method

    • Consider whether the methods are measuring the same biological parameter

    • Assess the sensitivity and specificity thresholds of each technique

  • Antibody validation reassessment:

    • Revalidate SPCC1672.09 Antibody specificity under the exact experimental conditions

    • Test for batch-to-batch variability if using different antibody lots

    • Consider whether the epitope might be masked or modified in certain conditions

    • Implement additional specificity controls (e.g., pre-adsorption, knockout samples)

  • Experimental condition harmonization:

    • Standardize sample preparation across methods (e.g., same fixation for microscopy and flow cytometry)

    • Ensure cells are in comparable physiological states across different experiments

    • Control for cell cycle phase, which may affect SPCC1672.09 expression or localization

    • Match buffer conditions as closely as possible across different techniques

  • Multi-method triangulation strategy:

    • Implement a third, independent method to resolve the contradiction

    • Use orthogonal approaches that rely on different principles (e.g., antibody-based vs. genetic tagging)

    • Consider direct measurement of mRNA levels to complement protein detection

    • Implement quantitative approaches with appropriate statistical analysis

  • Biological context consideration:

    • Evaluate whether the contradiction might reflect genuine biological complexity

    • Consider dynamic regulation like rapid protein turnover or conditional localization

    • Assess potential confounding factors (strain background differences, media composition)

    • Examine the literature for precedents of similar contradictions with other proteins

When publishing results, transparency about methodological contradictions and the steps taken to resolve them enhances scientific rigor and reproducibility .

How can I quantitatively analyze SPCC1672.09 expression levels across multiple experiments?

Quantitative analysis of SPCC1672.09 expression across multiple experiments requires rigorous standardization and statistical approaches. Here's a comprehensive methodology:

By implementing these quantitative approaches, researchers can confidently compare SPCC1672.09 expression levels across multiple experiments while accounting for technical and biological variability .

What are the key considerations for ensuring reproducible results with SPCC1672.09 Antibody?

Ensuring reproducible results with SPCC1672.09 Antibody requires a comprehensive approach addressing multiple aspects of experimental design, antibody validation, and data reporting. The following key considerations should be systematically implemented:

  • Rigorous antibody validation:

    • Validate the antibody for each specific application and experimental condition

    • Document specificity through appropriate controls (positive, negative, knockout samples)

    • Assess batch-to-batch variability when using different antibody lots

    • Maintain detailed records of validation experiments for future reference

  • Standardized experimental protocols:

    • Develop and follow detailed standard operating procedures (SOPs)

    • Control all experimental variables (sample preparation, incubation conditions, reagent concentrations)

    • Implement randomization and blinding where appropriate

    • Include all necessary controls in each experiment

  • Comprehensive data acquisition and analysis:

    • Use quantitative approaches with appropriate statistical methods

    • Document image acquisition parameters and analysis settings

    • Implement consistent normalization strategies across experiments

    • Avoid post-hoc data filtering or selective analysis

  • Transparent reporting practices:

    • Document complete antibody information (supplier, catalog number, lot number, dilution)

    • Report all experimental conditions in sufficient detail for replication

    • Present complete datasets including negative results and unexpected findings

    • Provide access to raw data when possible

  • Systematic troubleshooting:

    • Develop a structured approach to investigating unexpected results

    • Document all troubleshooting steps and outcomes

    • Consider multiple explanations for unusual observations

    • Validate new findings through independent experimental approaches

The reproducibility of antibody-based research depends on this systematic approach, which not only improves scientific rigor but also facilitates the transfer of methods between laboratories and the building of cumulative knowledge about proteins like SPCC1672.09 .

How does the current understanding of SPCC1672.09 protein inform optimal experimental approaches?

The optimal experimental approach for studying SPCC1672.09 must be informed by the current understanding of this protein in S. pombe, though detailed information about this specific protein is limited in the provided search results. A methodological framework that accounts for general principles of protein investigation includes:

  • Knowledge-guided experimental design:

    • Consider the predicted structural features of SPCC1672.09 when selecting detection methods

    • Account for potential post-translational modifications when interpreting results

    • Design experiments that address gaps in current understanding

    • Implement functional assays relevant to the protein's biological role

  • Multi-method investigation strategy:

    • Combine antibody-based detection with genetic approaches (tagging, knockout/knockdown)

    • Implement orthogonal methods to confirm key findings

    • Use both in vivo and in vitro approaches to build a comprehensive understanding

    • Consider high-throughput methods to identify interaction partners and regulatory networks

  • Context-dependent experimental optimization:

    • Adjust experimental conditions based on the protein's known or predicted cellular localization

    • Consider cell cycle regulation when designing temporal studies

    • Account for potential stress responses that might affect SPCC1672.09 expression or function

    • Evaluate protein stability and turnover rate when interpreting expression data

  • Comparative analysis approach:

    • Leverage evolutionary conservation information to inform functional studies

    • Compare expression and localization patterns across different growth conditions

    • Consider homologous proteins in related species when designing experiments

    • Use genetic backgrounds with varying levels of related proteins to assess functional redundancy

  • Technology selection based on protein characteristics:

    • For low-abundance proteins, select high-sensitivity detection methods

    • For proteins with multiple isoforms, use techniques that can distinguish between variants

    • For proteins involved in complexes, implement methods that preserve native interactions

    • For proteins with dynamic regulation, use real-time imaging or temporal profiling approaches

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.