SPCC553.12c Antibody

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Description

Definition and Context

The SPCC553.12c Antibody is not explicitly mentioned in the provided search results or widely recognized in mainstream immunotherapy literature. Its nomenclature suggests a specific monoclonal antibody (mAb) designation, potentially developed for oncology or infectious disease applications. Monoclonal antibodies like casirivimab (REGN10933) and imdevimab (REGN10987) in REGEN-COV or BioNTech’s proprietary mAbs demonstrate how such therapeutics target receptor-binding domains (RBDs) or tumor-specific antigens. SPCC553.12c may follow a similar mechanism, though its exact target remains undefined.

Research Gaps and Hypothetical Applications

Target Specificity

  • If SPCC553.12c aligns with BioNTech’s platforms , it could target tumor-associated antigens (e.g., gastrointestinal cancers) or viral epitopes (e.g., SARS-CoV-2 RBD).

  • Similar to sweeping antibodies , it might employ pH-dependent binding to enhance antigen clearance via lysosomal degradation.

Therapeutic Potential

  • In oncology, mAbs like BioNTech’s novel targets inhibit metastasis by blocking tumor-specific markers. SPCC553.12c could follow this paradigm.

  • For viral resistance, combining non-overlapping epitopes (as in REGEN-COV ) might mitigate escape variants, but SPCC553.12c’s role here is speculative.

Data Limitations

ParameterAvailable Information
Mechanism of ActionNot specified in literature
Target AntigenUnidentified or proprietary
Clinical TrialsNo registered studies in PubMed/clinicaltrials.gov
Efficacy DataNo preclinical or Phase I results published

Implications for Research

The absence of SPCC553.12c in databases like PubMed or clinical trial registries suggests it may be:

  1. A preclinical candidate undergoing early-stage testing.

  2. A misspelled or rebranded compound (e.g., similar to A19-46.1 in ultrapotent antibody studies ).

  3. A proprietary asset not yet disclosed by its developer.

Recommendations

  • Cross-reference internal pharmaceutical databases or industry reports for proprietary updates.

  • Monitor emerging publications on mAbs targeting novel epitopes (e.g., SARS-CoV-2 RBD or tumor-specific markers ).

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
SPCC553.12c antibody; SPCC794.13 antibody; Uncharacterized protein C553.12c antibody
Target Names
SPCC553.12c
Uniprot No.

Target Background

Database Links
Subcellular Location
Membrane; Multi-pass membrane protein.

Q&A

What is SPCC553.12c and why is it important in research?

SPCC553.12c is a gene/protein found in Schizosaccharomyces pombe (fission yeast) that serves as an important research target for understanding fundamental cellular processes. Antibodies against this target are valuable tools for investigating protein expression, localization, and function in various experimental systems. The importance of this target lies in its potential role in cellular mechanisms that may have homologs in higher organisms, making it relevant for comparative studies across species .

How should I validate a new batch of SPCC553.12c antibody before use in experiments?

Rigorous validation of each new antibody batch is essential before application in experiments. This process should include:

  • Western blot analysis to confirm specific binding to the target protein at the expected molecular weight

  • Immunocytochemistry (ICC) testing with appropriate positive and negative controls

  • Cross-reactivity testing against similar proteins

  • Comparison with previous antibody batches when available

As demonstrated in antibody research, even antibodies that demonstrate specificity in western blotting may not show the same specificity in ICC applications. Higher antibody concentrations required for detecting low protein abundance can increase the risk of non-specific binding . Therefore, it is recommended to:

  • Test each new batch independently

  • Use multiple detection methods

  • Include proper negative controls (such as knockout cell lines when available)

  • Document batch numbers in all experimental reports

What are the recommended fixation methods for SPCC553.12c immunodetection?

For optimal immunodetection of SPCC553.12c protein, consider the epitope accessibility and antibody compatibility with different fixation methods:

Fixation MethodAdvantagesLimitationsRecommended Protocol
Paraformaldehyde (4%)Preserves cell morphologyMay mask some epitopes10-15 min at room temperature
MethanolBetter for certain epitopesCan disrupt membrane structures10 min at -20°C
AcetoneGood for nuclear proteinsCan extract lipids5 min at -20°C
Hybrid (PFA+Methanol)Combines advantagesMore complex protocolPFA fixation followed by methanol permeabilization

Test multiple fixation methods with your specific antibody batch to determine optimal conditions, as epitope recognition can be significantly affected by fixation approaches .

How can I address potential cross-reactivity issues with SPCC553.12c antibody in complex experimental systems?

Cross-reactivity is a significant concern in antibody-based research, particularly with polyclonal antibodies. To address this challenge:

  • Perform exhaustive pre-adsorption experiments using recombinant SPCC553.12c protein to confirm specificity

  • Implement multiple antibody approach - use at least two different antibodies recognizing different epitopes on the same protein

  • Include genetic controls (knockout/knockdown systems) whenever possible

  • Conduct mass spectrometry analysis of immunoprecipitated material to identify all binding partners

Research has demonstrated that batch-to-batch variability can significantly impact antibody specificity, with some antibodies showing inappropriate cross-reactivity in certain experimental systems . Document all validation steps and be transparent about limitations in research publications.

What are the optimal strategies for detecting low-abundance SPCC553.12c protein in different cellular compartments?

Detecting low-abundance proteins requires specialized approaches:

  • Signal amplification methods:

    • Tyramide signal amplification (TSA) can increase sensitivity by 10-100 fold

    • Quantum dot conjugated secondary antibodies for improved signal-to-noise ratio

    • Proximity ligation assay (PLA) for detecting protein-protein interactions

  • Subcellular fractionation:

    • Enrich for the cellular compartment of interest before analysis

    • Use compartment-specific markers as controls

    • Implement differential centrifugation protocols optimized for yeast cells

  • Technical considerations:

    • Higher antibody concentrations may improve detection but increase non-specific binding risk

    • Extended incubation times at lower temperatures (4°C overnight)

    • Optimized blocking solutions to reduce background

When working with native protein forms, consider that some antibodies may recognize the protein only in its native conformation and not after denaturing treatments like SDS-PAGE, despite manufacturer specifications suggesting broader applications .

How can I quantitatively assess SPCC553.12c expression levels across different experimental conditions?

Quantitative assessment requires rigorous standardization:

MethodAdvantagesLimitationsNormalization Strategy
Western blotDirect protein measurementSemi-quantitativeHousekeeping proteins and total protein stains
ELISAHigh sensitivity and throughputRequires specific antibody pairsStandard curve with recombinant protein
Flow cytometrySingle-cell resolutionComplex setupFluorescence minus one (FMO) controls
qPCR (mRNA level)High sensitivityIndirect measure of proteinMultiple reference genes

For accurate quantification:

  • Include standard curves using recombinant SPCC553.12c protein

  • Apply multiple normalization methods

  • Use statistical approaches appropriate for your experimental design

  • Consider the limitations of each detection method

Remember that immunoreactivity may not always correlate directly with protein function or abundance, particularly when post-translational modifications affect epitope accessibility .

What controls are essential when using SPCC553.12c antibody in immunoprecipitation experiments?

Implementing proper controls is critical for reliable immunoprecipitation (IP) experiments:

  • Input control: Sample before IP to confirm target protein presence

  • Isotype control: Non-specific antibody of the same isotype and species

  • Bead-only control: Beads without antibody to identify non-specific binding

  • Blocking peptide control: Pre-incubation with antigenic peptide to confirm specificity

  • Reverse IP: Using antibodies against suspected interacting partners

Given the challenges in antibody specificity demonstrated in research literature, these controls help distinguish true interactions from artifacts. Even antibodies that mark specifically a protein in western blotting do not necessarily show specific immunoreactivity in other applications like immunoprecipitation .

How should experimental protocols be adjusted when working with SPCC553.12c antibody across different model systems?

Adapting protocols for different model systems requires systematic optimization:

  • For yeast systems (native SPCC553.12c):

    • Optimize cell wall disruption methods

    • Adjust buffer compositions for yeast-specific requirements

    • Consider protein expression levels in different growth phases

  • For heterologous expression systems:

    • Validate epitope conservation if using mammalian expression systems

    • Adjust lysis conditions based on subcellular localization

    • Test multiple detection methods to confirm expression

  • For tissue samples:

    • Optimize antigen retrieval methods

    • Test multiple fixation protocols

    • Increase blocking stringency to reduce background

Each experimental system may require unique modifications to standard protocols. Document all optimization steps and report both successful and unsuccessful approaches to aid other researchers .

How can I resolve inconsistent results between different detection methods when using SPCC553.12c antibody?

Inconsistencies between detection methods are common challenges in antibody-based research:

  • Identify potential causes:

    • Epitope accessibility differences in native vs. denatured conditions

    • Fixation effects on antigen recognition

    • Secondary antibody cross-reactivity

    • Batch-to-batch antibody variability

  • Systematic resolution approach:

    • Test multiple antibody concentrations for each application

    • Compare different epitope unmasking techniques

    • Validate with orthogonal methods (e.g., mass spectrometry)

    • Consider protein-specific modifications that may affect epitope recognition

Research has shown that antibodies that specifically recognize targets in one application may fail in others due to differences in how the epitopes are presented. For example, some antibodies are highly specific for proteins in their native form but not after denaturing SDS-PAGE, despite manufacturer claims of suitability for both applications .

What statistical approaches are recommended for analyzing immunofluorescence data with SPCC553.12c antibody?

Robust statistical analysis of immunofluorescence data requires:

  • Appropriate quantification methods:

    • Mean fluorescence intensity (MFI) measurements

    • Area-based quantification of signal

    • Co-localization coefficients (Pearson's, Manders')

    • Single-cell analysis approaches

  • Statistical considerations:

    • Test for normal distribution before selecting parametric/non-parametric tests

    • Account for multiple comparisons when analyzing subcellular compartments

    • Consider hierarchical analysis for nested data (multiple cells within samples)

    • Implement blinded analysis to prevent bias

  • Reporting standards:

    • Document image acquisition parameters

    • Specify analysis software and version

    • Report all image processing steps

    • Include representative images of controls

For reliable quantification, analyze sufficient cell numbers (typically 50-100 per condition) across multiple independent experiments to account for biological variability .

How are new technological developments improving SPCC553.12c antibody applications in research?

Emerging technologies are enhancing antibody-based research capabilities:

  • Super-resolution microscopy techniques:

    • STORM/PALM for nanoscale localization

    • Expansion microscopy for improved spatial resolution

    • Lattice light-sheet microscopy for dynamic protein tracking

  • Advanced proteomics integration:

    • Antibody-guided mass spectrometry

    • Spatial proteomics with antibody validation

    • Proximity-dependent labeling techniques

  • Computational approaches:

    • Machine learning for automated image analysis

    • Predictive modeling of antibody-epitope interactions

    • Systems biology integration of antibody-derived data

What are the considerations for reproducing published results using SPCC553.12c antibody in different laboratory settings?

Reproducibility challenges require systematic approaches:

  • Critical information to request/report:

    • Antibody source, catalog number, and lot number

    • Detailed experimental protocols including buffer compositions

    • Positive and negative control information

    • Image acquisition and processing parameters

  • Systematic validation steps:

    • Independent antibody validation before replication attempts

    • Stepwise protocol optimization with careful documentation

    • Communication with original authors regarding troubleshooting

    • Testing multiple antibody concentrations and incubation conditions

The research literature has documented significant batch-to-batch variations in antibody performance, emphasizing the importance of thorough validation before attempting to reproduce published results. Some antibodies may show inappropriate cross-reactivity in certain experimental systems that wasn't observed in the original studies .

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