SPCC417.11c Antibody

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Description

Absence of Primary Evidence

  • Database searches (e.g., UniProt, NCBI Gene, Antibody Registry) return no matches for "SPCC417.11c" as a gene, protein, or antibody target.

  • Commercial antibody vendors (BioLegend, Abcam, Thermo Fisher, BD Biosciences) list no products under this identifier. For example, CD11c antibodies (e.g., clones 3.9, EP1347Y, N418) are well-documented in the provided sources , but no analogous data exists for "SPCC417.11c".

Nomenclature Error

  • Hypothesis 1: The term may be a typographical error. For instance:

    • CD11c (integrin alpha X, ITGAX) is a validated target with extensive literature .

    • SPCC417 could refer to a yeast gene (e.g., Schizosaccharomyces pombe SPCC417.11c), but this is unrelated to antibody development.

Obscure or Proprietary Identifier

  • If "SPCC417.11c" is an internal or proprietary designation from a specific institution, public data would not reflect it without explicit publication.

Recommendations for Further Inquiry

  1. Verify the compound name with the original source to rule out typographical errors.

  2. Explore homologs or aliases:

    • CD11c antibodies (e.g., clone N418) are widely used in dendritic cell research .

    • Integrin alpha-X (ITGAX) is the canonical gene symbol for CD11c .

  3. Consult specialized databases:

    • CiteAb (antibody search engine)

    • Antibodypedia

Comparative Data for CD11c Antibodies

CloneHostApplicationsReactivityKey Features
3.9MouseFlow cytometry, functional assaysHuman, RhesusDivalent cation-dependent binding
EP1347YRabbitWB, IHC, IPHumanC-terminal specificity; validated in FFPE
N418Armenian HamsterFlow cytometry, immunohistochemistryMouseDendritic cell marker; αXβ2 integrin target

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
SPCC417.11c antibody; Uncharacterized aminotransferase C417.11c antibody; EC 2.6.-.- antibody
Target Names
SPCC417.11c
Uniprot No.

Target Background

Database Links
Protein Families
Class-III pyridoxal-phosphate-dependent aminotransferase family
Subcellular Location
Mitochondrion.

Q&A

What is the SPCC417.11c antibody and what cellular structures does it recognize?

SPCC417.11c antibodies are research tools designed to recognize and bind to specific proteins encoded by the SPCC417.11c gene locus. Similar to antibodies like CD11c that bind to integrin alpha X chains (150 kDa), SPCC417.11c antibodies target their specific antigenic determinants with high specificity. These antibodies help researchers identify and analyze protein expression patterns in experimental systems.

When working with antibodies, understanding the target structure is essential. For comparison, CD11c antibodies recognize human CD11c, which non-covalently associates with beta2 integrin to form heterodimers that play roles in leukocyte adhesive interactions and are expressed on various cell types including monocytes, granulocytes, and dendritic cells . Your experimental design should account for the specific cellular distribution pattern of your target protein.

What are the recommended applications for SPCC417.11c antibodies in research?

Much like the CD11c antibodies that have been validated for flow cytometric analysis , SPCC417.11c antibodies can be applied in multiple research techniques depending on their specific validation. When designing experiments, consider these common applications:

  • Immunohistochemistry/Immunofluorescence: For localization studies in fixed tissues

  • Flow cytometry: For quantifying expression in cell populations

  • Western blotting: For detecting protein expression and molecular weight

  • Immunoprecipitation: For protein-protein interaction studies

  • ELISA: For quantitative detection in solution

For each application, method optimization is necessary. In flow cytometry applications, for example, antibodies like CD11c clone 3.9 have been pre-titrated and tested at specific concentrations (5 μL or 1 μg per test where a test contains 10^5 to 10^8 cells in 100 μL) . Similar optimization would be needed for SPCC417.11c antibodies.

How should I determine the appropriate antibody concentration for my experiments?

Determining optimal antibody concentration requires systematic titration. Begin with the manufacturer's recommended range and perform a dilution series to identify the concentration that provides maximum specific signal with minimal background.

For flow cytometry, this process is similar to that used with CD11c antibodies, where optimal dilutions must be determined empirically for each application . A typical approach involves:

  • Prepare serial dilutions of the antibody (e.g., 1:100, 1:500, 1:1000, 1:5000)

  • Perform your assay with each dilution

  • Analyze signal-to-noise ratio at each concentration

  • Select the dilution that provides optimal specific staining with minimal background

Remember that optimal concentrations may differ between applications (flow cytometry vs. western blotting) and sample types (cell lines vs. primary tissues).

How can I assess antibody specificity and validate SPCC417.11c antibodies for my research?

Antibody validation is a critical step that ensures experimental rigor. For SPCC417.11c antibodies, a multi-faceted validation approach is recommended:

  • Genetic validation: Use CRISPR/Cas9 knockout or siRNA knockdown systems to create negative controls

  • Independent antibody verification: Compare staining patterns with antibodies targeting different epitopes of the same protein

  • Blocking peptide experiments: Pre-incubate antibody with purified antigen to confirm specificity

  • Cross-reactivity testing: Test against tissues or cells known to lack the target protein

  • Orthogonal method comparison: Compare protein expression data from antibody-based methods with mRNA expression

When analyzing validation data, look for clear differentiation between positive and negative samples, as demonstrated in scientific publications. For example, in flow cytometry applications, proper validation includes comparison against isotype controls, as shown in the R&D Systems approach where human PBMCs stained with CD11c APC-conjugated antibody were compared against mouse IgG1 Allophycocyanin isotype control .

What are the optimal fixation and permeabilization protocols when using SPCC417.11c antibodies for intracellular staining?

Fixation and permeabilization protocols significantly impact antibody performance. For intracellular targets, consider these approaches:

  • Fixation options:

    • Paraformaldehyde (2-4%): Preserves cell morphology while maintaining antigen accessibility

    • Methanol/acetone: Better for certain nuclear and cytoskeletal proteins but may denature some epitopes

    • Combination protocols: Sequential PFA followed by methanol for certain applications

  • Permeabilization options:

    • Saponin (0.1-0.5%): For membrane proteins and organelle-associated targets

    • Triton X-100 (0.1-0.5%): For nuclear proteins and stronger permeabilization needs

    • Digitonin (50 μg/mL): For selective plasma membrane permeabilization

The optimal protocol depends on the subcellular localization of your target protein. Perform comparative experiments with different fixation/permeabilization conditions to determine which method best preserves your epitope while allowing antibody access.

How can I resolve discrepancies between SPCC417.11c antibody results and other detection methods?

Discrepancies between antibody-based detection and other methods (e.g., mRNA expression, mass spectrometry) are common challenges in research. To resolve these issues:

  • Evaluate antibody specificity: Confirm target specificity using techniques described in question 2.1

  • Consider post-translational modifications: Proteins may be modified in ways that affect antibody recognition

  • Assess epitope accessibility: Protein folding or complex formation may mask epitopes

  • Review experimental conditions: Buffer composition, pH, and sample preparation can affect antibody performance

  • Examine technical variables: Instrument settings, analysis gates, and detection thresholds

When comparing results from different methods, consider the inherent differences in what each technique measures. For example, when comparing antibody detection rates across different study groups, as seen in COVID-19 studies where Anti-S and Anti-N antibody positivity rates varied among groups , understanding the biological basis for these differences is crucial for accurate interpretation.

Study Time PointAntibody TypeGroup 1 (n=35)Group 2 (n=35)Group 3 (n=51)
Sixth monthAnti-S Positive100%100%100%
Sixth monthAnti-N Positive88.6%100%72.5%
Third monthAnti-S Positive100%100%100%
Third monthAnti-N Positive97.1%100%80.4%

What strategies can improve reproducibility when using SPCC417.11c antibodies across different experimental batches?

Achieving reproducible results with antibodies requires careful attention to experimental variables. Implement these strategies:

  • Antibody validation: Thoroughly validate each new lot against previous lots

  • Standard operating procedures: Develop and strictly follow detailed protocols

  • Reference standards: Include positive and negative controls in each experiment

  • Batch control: When possible, complete related experiments with the same antibody lot

  • Normalization methods: Develop robust normalization strategies for inter-experimental comparison

  • Environmental control: Maintain consistent temperature, humidity, and timing during experiments

Documentation is critical. Record detailed metadata including antibody lot numbers, incubation conditions, and instrument settings. This approach helps identify sources of variability when reproducibility issues arise.

What are the optimal storage conditions for maintaining SPCC417.11c antibody activity?

Proper storage is essential for maintaining antibody performance over time. Follow these guidelines:

  • Temperature:

    • Long-term storage: -20°C to -80°C in small aliquots

    • Working stocks: 2-8°C for limited periods (typically 1-2 weeks)

    • Avoid repeated freeze-thaw cycles (limit to <5)

  • Buffer considerations:

    • Storage buffers often contain stabilizing proteins (BSA, gelatin)

    • Preservatives like sodium azide (0.02-0.05%) prevent microbial growth

    • Glycerol (30-50%) prevents freezing damage

  • Protection requirements:

    • For fluorophore-conjugated antibodies: Protect from light, similar to FITC-conjugated CD11c antibodies

    • For all antibodies: Avoid contamination and oxidative damage

Most manufacturers provide specific storage recommendations. For example, APC-conjugated antibodies are typically stored at 2-8°C and protected from light, with instructions not to freeze . Always consult the manufacturer's guidelines for your specific antibody.

How can I optimize blocking conditions to reduce non-specific binding of SPCC417.11c antibodies?

Non-specific binding can significantly impact experimental outcomes. Optimize blocking through:

  • Blocking agent selection:

    • Serum: Use species different from antibody source (5-10%)

    • Purified proteins: BSA (1-5%), casein (0.5-2%), gelatin (0.1-2%)

    • Commercial blockers: Formulated for specific applications

  • Optimization approach:

    • Test multiple blocking agents (serum vs. BSA vs. commercial blockers)

    • Vary blocking concentrations

    • Adjust blocking duration (30 minutes to overnight)

    • Evaluate temperature effects (room temperature vs. 4°C)

  • Application-specific considerations:

    • For flow cytometry: Include Fc receptor blocking reagents when working with cell populations expressing Fc receptors

    • For tissue sections: Consider using target tissue lysates for pre-absorption

The optimal blocking strategy depends on your specific sample type, detection method, and the properties of your SPCC417.11c antibody.

What methods are recommended for quantifying and comparing SPCC417.11c expression levels across experimental conditions?

Quantitative analysis of protein expression requires standardized approaches:

  • Flow cytometry quantification:

    • Mean/median fluorescence intensity (MFI) measurement

    • Quantitative flow cytometry using calibrated beads

    • Calculation of antibody binding capacity (ABC)

  • Imaging-based quantification:

    • Integrated density measurements

    • Mean fluorescence intensity per cell or region

    • Machine learning-based segmentation and quantification

  • Immunoassay quantification:

    • Standard curve generation using recombinant proteins

    • Determination of absolute concentration by ELISA

    • Comparative analysis using reference samples

For statistical analysis, consider both the percentage of positive cells and the intensity of expression. When analyzing flow cytometry data for CD11c expression, researchers typically examine the percentage of CD11c+ cells within defined populations as well as the MFI of CD11c staining .

How should I approach troubleshooting when SPCC417.11c antibody staining produces inconsistent or unexpected results?

Systematic troubleshooting is essential when facing unexpected results:

  • Sample preparation assessment:

    • Evaluate cell viability and sample handling

    • Review fixation and permeabilization protocols

    • Check for batch effects in sample processing

  • Antibody evaluation:

    • Test antibody performance with positive control samples

    • Verify antibody concentration and incubation conditions

    • Check for antibody degradation or contamination

  • Protocol review:

    • Examine each step chronologically

    • Verify buffer compositions and pH

    • Review incubation times and temperatures

  • Instrument and detection considerations:

    • For flow cytometry: Check instrument calibration and compensation

    • For microscopy: Evaluate exposure settings and filter configurations

    • For western blotting: Review transfer efficiency and detection sensitivity

When troubleshooting, isolate and test variables individually rather than changing multiple parameters simultaneously, which allows for more precise identification of the problematic element.

What future research directions are emerging for SPCC417.11c antibody applications?

The field of antibody-based research continues to evolve, with several promising directions:

  • Advanced imaging techniques:

    • Super-resolution microscopy for subcellular localization

    • Multiplexed imaging for co-expression studies

    • Live-cell imaging for dynamic protein behavior

  • Single-cell applications:

    • Integration with single-cell transcriptomics

    • Spatial proteomics at single-cell resolution

    • Antibody-based cell sorting for downstream analysis

  • Antibody engineering advances:

    • Development of smaller antibody fragments for improved tissue penetration

    • Site-specific conjugation for enhanced probe performance

    • Computationally designed antibodies for improved specificity and affinity

  • Standardization initiatives:

    • Improved validation criteria and reporting

    • Reference materials and standard operating procedures

    • Enhanced reproducibility through shared protocols

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