SPCC1020.11c Antibody

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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
SPCC1020.11c; ER membrane protein complex subunit 6
Target Names
SPCC1020.11c
Uniprot No.

Target Background

Database Links
Protein Families
EMC6 family
Subcellular Location
Endoplasmic reticulum membrane; Multi-pass membrane protein.

Q&A

What is SPCC1020.11c and why are antibodies against it important for research?

SPCC1020.11c is a gene in Schizosaccharomyces pombe (fission yeast) that encodes a protein predicted to function as an ER membrane protein complex subunit 6 . Antibodies against this protein are valuable tools for studying its localization, expression levels, and interactions within cellular pathways in S. pombe. These antibodies enable researchers to investigate fundamental ER membrane processes and protein trafficking mechanisms in this model organism.

What essential validation steps should be performed before using a SPCC1020.11c antibody?

Proper validation of SPCC1020.11c antibodies requires multiple complementary approaches:

  • Specificity testing: Demonstrate the antibody binds specifically to SPCC1020.11c protein using knockout or knockdown S. pombe strains as negative controls .

  • Western blot validation: Confirm the antibody detects a band of the expected molecular weight (~predicted kDa based on amino acid sequence) in wild-type S. pombe lysates but not in knockout strains .

  • Cross-reactivity assessment: Test against related proteins or strains expressing tagged versions of SPCC1020.11c to establish specificity .

  • Application-specific validation: Validate separately for each application (WB, IF, IP) as antibody performance may vary between techniques .

  • Positive and negative controls: Include controls in all experiments to confirm specificity and sensitivity .

This multi-method approach ensures the antibody is truly detecting SPCC1020.11c and not cross-reacting with other proteins .

What information should be documented when using SPCC1020.11c antibodies?

When using SPCC1020.11c antibodies in research, document the following essential information:

ParameterRequired InformationWhy It Matters
Antibody SourceManufacturer, catalog number, lot/batch numberEnables reproducibility and accounts for batch variation
Antibody TypePolyclonal/monoclonal, host species, isotypeAffects specificity and application compatibility
Validated ApplicationsWB, ELISA, IP, IF, etc. with tested dilutionsEnsures appropriate use for specific techniques
Antigen InformationImmunogen used (full protein, peptide region)Helps interpret binding results and epitope accessibility
Validation MethodsTests performed to verify specificityEstablishes reliability of results
Experimental ConditionsBuffer compositions, incubation times/temperaturesCritical for reproducibility

Comprehensive documentation enables other researchers to reproduce your work and properly interpret your findings .

How should I design appropriate controls for SPCC1020.11c antibody experiments?

Designing appropriate controls for SPCC1020.11c antibody experiments requires:

Essential controls:

  • Positive control: Wild-type S. pombe strain expressing SPCC1020.11c

  • Negative control: SPCC1020.11c knockout strain (if available) or pre-immune serum

  • Secondary antibody-only control: To identify non-specific secondary antibody binding

  • Peptide competition control: Pre-incubation of antibody with immunizing peptide should abolish specific signal

Advanced controls:

  • Tagged SPCC1020.11c: Compare antibody detection with anti-tag antibody detection

  • Heterologous expression: Overexpressed SPCC1020.11c in another system should show enriched signal

  • Orthogonal detection methods: Compare antibody results with mass spectrometry or other antibody-independent methods

Proper controls distinguish genuine signals from artifacts and validate experimental findings .

What are the best methods to characterize SPCC1020.11c antibody specificity?

To thoroughly characterize SPCC1020.11c antibody specificity, employ these methods:

  • Genetic strategies: Use CRISPR/Cas9-generated knockout or knockdown S. pombe strains as gold-standard negative controls .

  • Orthogonal strategies: Compare antibody detection with antibody-independent methods such as RNA-seq or mass spectrometry .

  • Multiple antibody approach: Use different antibodies targeting distinct epitopes of SPCC1020.11c to confirm signals .

  • Recombinant expression analysis: Test antibody against recombinant SPCC1020.11c protein and compare with endogenous detection .

  • Immunoprecipitation-mass spectrometry: Identify proteins captured by the antibody to confirm target specificity and detect potential cross-reactivity .

This comprehensive approach provides the highest confidence in antibody specificity and research results .

How do I determine the optimal working concentration for SPCC1020.11c antibodies?

To determine the optimal working concentration for SPCC1020.11c antibodies:

  • Perform titration experiments:

    • Test a range of antibody dilutions (typically 1:100 to 1:10,000)

    • Include positive controls (wild-type samples) and negative controls (knockout or pre-immune serum)

  • Evaluate signal-to-noise ratio:

    • Calculate the ratio between specific signal and background

    • Select the concentration that maximizes specific signal while minimizing background

  • Consider application-specific factors:

    • For Western blots: Optimize to detect the expected band with minimal background

    • For immunofluorescence: Balance signal intensity with specificity

    • For ELISA: Generate a standard curve to determine detection limits

  • Protein abundance considerations:

    • Lower abundance proteins may require higher antibody concentrations

    • Higher antibody concentrations increase risk of non-specific binding

The optimal concentration provides maximum signal specificity with minimal background interference .

How can I troubleshoot cross-reactivity issues with SPCC1020.11c antibodies?

When encountering cross-reactivity with SPCC1020.11c antibodies:

  • Identify the source of cross-reactivity:

    • Compare banding patterns between wild-type and knockout samples

    • Use peptide competition assays to determine which bands are specific

    • Consider phylogenetic analysis to identify similar proteins in S. pombe

  • Optimize experimental conditions:

    • Increase washing stringency (higher salt, longer washes)

    • Add blocking agents (5% milk, BSA, or specific blockers)

    • Decrease antibody concentration

    • Try different buffer compositions

  • Alternative approaches:

    • Try different antibodies targeting different epitopes

    • Use affinity purification against the specific epitope

    • Consider dual-recognition methods like sandwich assays for higher specificity

    • Use orthogonal methods to confirm results

  • Validation in knockout systems:

    • Generate or obtain SPCC1020.11c knockout strains

    • Test antibody in this system to definitively identify non-specific signals

Systematic troubleshooting can significantly improve specificity and experimental outcomes .

What considerations are important when using SPCC1020.11c antibodies for quantitative analyses?

For quantitative analyses using SPCC1020.11c antibodies, consider:

  • Antibody linearity assessment:

    • Perform serial dilutions of your sample to establish the linear detection range

    • Confirm signal intensity correlates linearly with protein amount

    • Determine lower and upper detection limits

  • Standardization protocols:

    • Include standard curves with known quantities of recombinant protein

    • Use internal loading controls appropriate for your experimental design

    • Perform technical and biological replicates

  • Signal quantification methods:

    • Use digital imaging systems with appropriate dynamic range

    • Apply background subtraction consistently

    • Avoid saturated signals which prevent accurate quantification

  • Sources of variability:

    • Account for batch-to-batch antibody variation by using the same lot when possible

    • Standardize sample preparation and loading

    • Control for post-translational modifications that might affect antibody binding

  • Statistical analysis:

    • Apply appropriate statistical tests for your experimental design

    • Consider power analyses to determine adequate sample sizes

    • Account for technical variation in measurements

Proper quantitative analysis requires rigorous methodology to ensure reliable and reproducible results .

How can I optimize immunoprecipitation protocols using SPCC1020.11c antibodies?

To optimize immunoprecipitation with SPCC1020.11c antibodies:

  • Cell lysis optimization:

    • Test different lysis buffers appropriate for membrane proteins

    • Consider detergent selection carefully (e.g., NP-40, Triton X-100, CHAPS)

    • Include protease inhibitors to prevent degradation

    • For S. pombe, optimize cell wall disruption methods

  • Antibody binding conditions:

    • Determine optimal antibody-to-lysate ratio

    • Test different incubation times (2h to overnight) and temperatures (4°C is standard)

    • Consider pre-clearing lysates to reduce non-specific binding

  • Bead selection and handling:

    • Compare Protein A, Protein G, or mixed beads based on antibody isotype

    • Optimize bead amount and washing stringency

    • Consider cross-linking antibody to beads to prevent antibody leaching

  • Elution strategies:

    • Compare different elution methods (pH, competitive, denaturing)

    • Select method compatible with downstream applications

    • For difficult targets, consider on-bead digestion for mass spectrometry

  • Verification methods:

    • Always confirm results with Western blotting

    • Consider orthogonal methods to validate interactions

    • Include appropriate controls (pre-immune serum, IgG control)

Optimization can significantly improve specificity and yield in immunoprecipitation experiments .

What special considerations apply when using SPCC1020.11c antibodies in different experimental models?

When using SPCC1020.11c antibodies across different experimental models:

  • Species considerations:

    • SPCC1020.11c antibodies are specific to S. pombe proteins

    • Cross-reactivity with orthologs in other species must be experimentally verified

    • Consider evolutionary conservation when interpreting potential cross-reactivity

  • Sample preparation variations:

    • For fixed samples: Optimize fixation methods (formaldehyde, methanol, etc.)

    • For tissue sections: Test antigen retrieval methods if necessary

    • For live cell applications: Verify antibody performance under non-denaturing conditions

  • Genetic modification considerations:

    • In tagged systems: Ensure tags don't interfere with antibody epitopes

    • In mutant strains: Consider how mutations might affect epitope recognition

    • In heterologous expression systems: Account for differences in post-translational modifications

  • Application-specific optimizations:

    • For microscopy: Optimize signal-to-noise ratio and specificity

    • For biochemical assays: Adjust buffer conditions for optimal recognition

    • For multi-protein complex studies: Consider epitope accessibility within complexes

Careful validation in each experimental system ensures reliable and interpretable results .

How can I use SPCC1020.11c antibodies to study protein-protein interactions?

To study protein-protein interactions involving SPCC1020.11c:

  • Co-immunoprecipitation approaches:

    • Use SPCC1020.11c antibodies for pull-downs followed by mass spectrometry

    • Verify interactions by reciprocal co-IP with antibodies against putative partners

    • Consider native versus crosslinked conditions to preserve transient interactions

  • Proximity labeling techniques:

    • Combine antibody-based detection with BioID or APEX2 proximity labeling

    • Use antibodies to confirm localization of proximity-labeled proteins

    • Compare interactomes under different cellular conditions

  • Microscopy-based interaction studies:

    • Use SPCC1020.11c antibodies with antibodies against suspected interactors

    • Perform quantitative colocalization analysis

    • Consider super-resolution techniques for detailed spatial analysis

  • Validation strategies:

    • Verify interactions with orthogonal methods

    • Use genetic approaches (mutations, deletions) to confirm functional relevance

    • Control for non-specific interactions using appropriate negative controls

These approaches provide complementary data about SPCC1020.11c interaction networks .

What approaches can I use to study post-translational modifications of SPCC1020.11c?

To study post-translational modifications (PTMs) of SPCC1020.11c:

  • PTM-specific antibody approaches:

    • Use phospho-specific, ubiquitin-specific, or other PTM-specific antibodies

    • Validate PTM-specific antibodies using mutants that cannot be modified

    • Combine with general SPCC1020.11c antibodies to determine modified fraction

  • Enrichment strategies:

    • Immunoprecipitate SPCC1020.11c first, then probe for PTMs

    • Use PTM-specific enrichment (phospho-enrichment, ubiquitin capture) followed by SPCC1020.11c detection

    • Compare modified protein levels under different conditions

  • Mass spectrometry integration:

    • Immunoprecipitate SPCC1020.11c for MS analysis of PTMs

    • Use targeted MS approaches to quantify specific modified peptides

    • Compare modification profiles between experimental conditions

  • Functional validation:

    • Correlate PTM status with protein localization or function

    • Use genetic approaches (phospho-mimetic mutations, etc.) to confirm functional relevance

    • Develop time-course studies to track modification dynamics

These methodologies enable detailed characterization of SPCC1020.11c regulation through PTMs .

How can I integrate antibody-based detection with advanced quantitative proteomics?

To integrate SPCC1020.11c antibody-based detection with quantitative proteomics:

  • Sample preparation strategies:

    • Use immunoprecipitation to enrich for SPCC1020.11c and interacting proteins

    • Consider SPCC1020.11c as an internal normalization control where appropriate

    • Develop fractionation schemes to maximize detection of low-abundance interactors

  • Quantification approaches:

    • Compare label-free quantification with antibody-based quantification

    • Use isotope labeling techniques (SILAC, TMT) for accurate relative quantification

    • Develop targeted MS assays (PRM/MRM) for absolute quantification of SPCC1020.11c

  • Validation workflows:

    • Confirm key MS findings with antibody-based methods

    • Use orthogonal techniques to validate quantitative changes

    • Develop integrative data analysis pipelines to combine antibody and MS data

  • Advanced applications:

    • Study protein complex stoichiometry using both antibody and MS approaches

    • Track protein turnover rates by pulse-chase combined with antibody detection

    • Map protein-protein interaction dynamics across different cellular states

This integrated approach leverages the strengths of both antibody-based detection and MS-based proteomics .

What considerations are important when developing multiplexed assays involving SPCC1020.11c antibodies?

When developing multiplexed assays with SPCC1020.11c antibodies:

  • Antibody compatibility assessment:

    • Test for cross-reactivity between antibodies used in multiplexing

    • Verify that detection systems don't interfere with each other

    • Optimize dilutions of each antibody in the multiplex context

  • Technical considerations:

    • For fluorescence-based detection, select fluorophores with minimal spectral overlap

    • For colorimetric assays, ensure signal separation is possible

    • For sequential detection, verify complete stripping or inactivation between rounds

  • Validation strategies:

    • Compare multiplexed results with single-plex detection

    • Perform appropriate controls for each antibody in the multiplex

    • Quantify potential signal interference between channels

  • Data analysis approaches:

    • Develop compensation algorithms if needed

    • Consider advanced image analysis for colocalization studies

    • Implement statistical methods appropriate for multiplexed data

  • Application-specific optimizations:

    • For microscopy: Optimize for minimal bleed-through between channels

    • For Western blots: Ensure compatibility of detection systems

    • For flow cytometry: Perform proper compensation controls

Careful optimization ensures reliable data from multiplexed assays involving SPCC1020.11c antibodies .

What information should be included in publications using SPCC1020.11c antibodies?

When publishing research using SPCC1020.11c antibodies, include:

  • Complete antibody information:

    • Manufacturer, catalog number, and lot number

    • Clone type (monoclonal/polyclonal) and host species

    • Immunogen details (full protein, specific peptide sequence)

    • RRID (Research Resource Identifier) if available

  • Validation information:

    • Specific validation performed for your application

    • Include validation data in supplementary materials if using in novel ways

    • Reference previous validations when appropriate

  • Detailed methods:

    • Exact antibody concentration (μg/ml) rather than just dilution

    • Complete protocol including buffers, incubation times and temperatures

    • All controls used in experiments

  • Result interpretation:

    • Acknowledge potential limitations of antibody-based detection

    • Address alternative explanations for observed results

    • Discuss how antibody specificity affects result interpretation

Thorough reporting enables reproducibility and proper evaluation of findings by the scientific community .

How should I address reviewer concerns about SPCC1020.11c antibody specificity?

To address reviewer concerns about SPCC1020.11c antibody specificity:

  • Provide comprehensive validation data:

    • Include Western blots showing specificity in wild-type vs. knockout/knockdown samples

    • Show peptide competition assays demonstrating signal specificity

    • Provide data from orthogonal detection methods supporting your findings

  • Address specific reviewer concerns:

    • For concerns about cross-reactivity: Perform additional controls with related proteins

    • For concerns about non-specific binding: Show results with additional blocking conditions

    • For concerns about reproducibility: Provide data from multiple experimental replicates

  • Reference established validation criteria:

    • Cite literature on antibody validation best practices

    • Demonstrate how your validation meets or exceeds field standards

    • Reference other publications that have successfully used and validated this antibody

  • Be transparent about limitations:

    • Acknowledge any validation gaps and their potential impact

    • Discuss how limitations were mitigated in your experimental design

    • Propose follow-up experiments that could address remaining concerns

Thorough, evidence-based responses demonstrating rigorous validation will strengthen your manuscript .

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