SPBC1773.16c Antibody

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Description

Molecular and Functional Characteristics of SPBC1773.16c Antibody

Target Protein:

  • Sup11p (encoded by SPBC1773.16c) is a 67–95 kDa protein localized to the late Golgi or post-Golgi compartments .

  • Key Domains: Contains a signal anchor sequence for membrane integration and a serine/threonine-rich region prone to O-mannosylation .

Antibody Properties:

PropertySpecification
Host SpeciesRabbit (polyclonal)
ImmunogenSynthetic peptide corresponding to residues 67–95 of mouse Sup11p
ApplicationsWestern blotting, immunoprecipitation, immunofluorescence, cellular fractionation
SpecificityValidated against S. pombe lysates; detects endogenous Sup11p

Role in β-1,6-Glucan Synthesis

  • Sup11p depletion eliminates β-1,6-glucan from the cell wall, leading to severe morphological defects .

  • Genetic interactions with β-1,6-glucanases (e.g., gas2+) suggest a regulatory role in glucan remodeling .

Septum Formation and Cell Wall Integrity

  • Phenotypic Effects:

    • nmt81-sup11 mutants exhibit malformed septa with abnormal accumulation of β-1,3-glucan .

    • Cell wall thickness increases by 30% in mutants, compromising structural integrity .

  • Transcriptional Regulation: Depletion upregulates glucanases (eng1+, agn1+) and downregulates septum-associated proteins (cdc15+, sep10+) .

Glycosylation and Localization

  • Post-Translational Modifications:

    • Sup11p undergoes O-mannosylation under normal conditions .

    • Hypo-mannosylation in O-mannosyltransferase mutants (oma4Δ) exposes cryptic N-glycosylation sites .

  • Subcellular Localization:

    • Immunogold labeling confirms association with secretory vesicles and septal membranes .

Immunoblotting and Epitope Mapping

  • Western Blot: Detects Sup11p as a single band at ~75 kDa in wild-type lysates; absent in nmt81-sup11 knockdown strains .

  • Epitope Specificity: Targets residues 67–95, a region critical for β-1,6-glucan synthase activity .

Functional Studies

  • Cellular Fractionation: Used to confirm Sup11p’s membrane association via sucrose density gradients .

  • Genetic Screens: Identified sup11+ as a multicopy suppressor of O-mannosylation mutants .

Comparative Analysis with Orthologs

FeatureS. pombe Sup11pS. cerevisiae Kre9p
Functionβ-1,6-glucan synthesisβ-1,6-glucan synthesis
EssentialityEssentialNon-essential
LocalizationLate Golgi/post-GolgiEndoplasmic reticulum
GlycosylationO-mannosylation dominantN-linked glycosylation

Technical Validation and Limitations

  • Cross-Reactivity: Antibody shows no cross-reactivity with S. cerevisiae homologs .

  • Limitations:

    • Requires denaturing conditions for Western blotting; ineffective in native-state immunoprecipitation .

    • Sensitivity reduced in hypo-mannosylated mutants due to epitope masking .

Future Directions

  • Therapeutic Potential: Targeting β-1,6-glucan synthesis pathways in fungal pathogens .

  • Technical Improvements: Development of monoclonal antibodies for live-cell imaging .

Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
SPBC1773.16c; Uncharacterized transcriptional regulatory protein C1773.16c
Target Names
SPBC1773.16c
Uniprot No.

Target Background

Database Links
Subcellular Location
Nucleus membrane; Single-pass membrane protein.

Q&A

What is SPBC1773.16c and why is it important in fission yeast research?

SPBC1773.16c is a gene/protein identifier in Schizosaccharomyces pombe (fission yeast), which serves as an important model organism for eukaryotic molecular biology research. The "SPBC" prefix denotes its chromosomal location, with similar genes such as SPBC1773.17c being found in proximity . Antibodies against this target are valuable tools for investigating protein expression, localization, and function in various cellular pathways. For successful detection, researchers should optimize experimental conditions including fixation methods, antibody concentration, and incubation time based on the specific experimental design.

What detection methods are most effective for SPBC1773.16c antibody in yeast research?

Multiple detection methodologies can be employed, each with specific advantages:

Detection MethodOptimal ApplicationSensitivityKey Considerations
Western BlotProtein expression quantificationHighUse TAT-1 as a loading control
ImmunofluorescenceSubcellular localizationModerate-HighRequires cell wall digestion
Flow CytometryPopulation analysisHighSimilar to protocols for ErbB2/Her2
ChIPProtein-DNA interactionsVariableRequires cross-linking optimization

When implementing these methods, researchers should validate antibody specificity using wild-type and knockout strains, as cross-reactivity with related yeast proteins can occur.

How should SPBC1773.16c antibody samples be prepared and stored for optimal results?

For maximum antibody stability and function, follow these evidence-based protocols:

  • Store concentrated antibody stocks at -20°C to -70°C for long-term storage (6+ months)

  • Keep working dilutions at 2-8°C under sterile conditions for up to one month

  • Avoid repeated freeze-thaw cycles by preparing single-use aliquots

  • When reconstituting lyophilized antibodies, use sterile buffers at recommended concentrations

  • Include preservatives (e.g., 0.02% sodium azide) for diluted antibodies stored longer than one week

How can computational tools improve SPBC1773.16c antibody design and application?

Contemporary computational approaches can significantly enhance antibody research. The IsAb protocol offers a systematic workflow applicable to SPBC1773.16c antibody development :

  • Structure prediction: When crystallographic data is unavailable, web servers like RosettaAntibody can generate 3D structural models based on antibody sequences

  • Docking analysis: Two-step docking (global with ClusPro followed by local with SnugDock) can predict antibody-antigen binding conformations

  • Hotspot identification: In silico alanine scanning identifies critical binding residues

  • Affinity maturation: Computational protocols can suggest modifications to increase antibody affinity and stability

These approaches can reduce experimental iterations required for antibody optimization while providing structural insights into binding mechanisms.

What strategies address non-specific binding issues with SPBC1773.16c antibodies?

Non-specific binding presents a common challenge in yeast immunological studies. Implement these research-validated solutions:

  • Pre-absorb antibodies against fixed knockout strains lacking SPBC1773.16c

  • Optimize blocking conditions using 5% BSA or non-fat milk supplemented with 0.1% Tween-20

  • Include competitive blocking with purified recombinant protein

  • For proximity-based methods, include appropriate spatial controls (e.g., proteins known not to interact with SPBC1773.16c)

  • Validate results using orthogonal techniques such as mass spectrometry

How can researchers distinguish between SPBC1773.16c and closely related proteins in fission yeast?

Differentiating between similar proteins like SPBC1773.16c and SPBC1773.17c requires sophisticated approaches:

  • Epitope mapping to identify unique regions for antibody generation

  • Western blot analysis using gradient gels that can resolve minor molecular weight differences

  • Immunoprecipitation followed by mass spectrometry for definitive identification

  • Parallel analysis with known mutant strains as positive and negative controls

  • Implementation of dual-labeling strategies with orthogonal antibodies targeting different epitopes

How can SPBC1773.16c antibodies be utilized in protein interaction studies?

Protein interaction studies benefit from several antibody-dependent techniques:

  • Co-immunoprecipitation (Co-IP): Optimize lysis conditions to preserve native protein complexes, similar to approaches used with TAT-1 antibody in fission yeast

  • Proximity ligation assay (PLA): Detect protein-protein interactions with spatial resolution below 40nm

  • FRET-based immunoassays: Measure direct protein interactions in live cells when combined with fluorescent protein tags

  • Pull-down assays: Use antibody-conjugated beads to identify interaction partners for subsequent mass spectrometry analysis

  • Chromatin immunoprecipitation (ChIP): Investigate protein-DNA interactions when SPBC1773.16c functions in transcriptional regulation

What considerations are important when using SPBC1773.16c antibodies in genetic pathway studies?

When investigating genetic pathways similar to the TSC pathway studied in fission yeast :

  • Validate antibody specificity in mutant backgrounds (e.g., deletion strains) to ensure accurate interpretation

  • Consider epitope masking that may occur due to protein-protein interactions or post-translational modifications

  • Compare protein expression across different nutrient conditions, as protein function may be regulated by environmental factors

  • Implement parallel analysis of related proteins (e.g., SPBC1271.08c GTPase) to contextualize function

  • Combine antibody-based detection with genetic suppressor screens to establish functional relationships

How should researchers optimize SPBC1773.16c antibody protocols for different yeast growth conditions?

Experimental conditions significantly impact antibody performance in fission yeast:

Growth ConditionRecommended ModificationRationale
Nitrogen StarvationIncrease fixation timeCell wall composition changes
Stationary PhaseAdjust extraction buffersHigher protease activity
MeiosisUse specialized fixativesChromosomal reorganization
Heat/Stress ResponseOptimize epitope retrievalProtein aggregation can mask epitopes

For nitrogen starvation conditions particularly relevant to fission yeast studies , researchers should monitor changes in mei2+ expression as a control for experimental conditions.

How do antibody engineering approaches enhance SPBC1773.16c detection sensitivity?

Advanced antibody engineering techniques applicable to SPBC1773.16c research include:

  • Single-domain antibodies: Smaller size allows access to sterically hindered epitopes in yeast cells

  • Recombinant antibody fragments: Fv regions can be expressed with tags for multi-modal detection

  • Biosimilar antibody approaches: Utilizing variable region sequences from validated antibodies while changing constant regions for specific applications

  • Nanobody development: Single-chain antibodies derived from camelids offer advantages in yeast intracellular applications

  • Antibody-enzyme fusion proteins: Enhance detection sensitivity through signal amplification

These approaches can be particularly valuable when studying low-abundance proteins in yeast.

What are the considerations for combining SPBC1773.16c antibodies with genome editing techniques?

Integration of antibody-based detection with CRISPR/Cas9 genome editing in fission yeast requires:

  • Validation of epitope preservation after tagging or mutation of SPBC1773.16c

  • Development of specialized fixation protocols that preserve fluorescent protein tags while enabling antibody access

  • Establishment of quantitative standards for comparing protein levels between wild-type and edited strains

  • Implementation of super-resolution microscopy for co-localization studies

  • Combined analysis of protein function and localization using split reporter systems with antibody validation

How can researchers effectively analyze contradictory results between antibody-based and genetic approaches?

When antibody-based results conflict with genetic data, systematic troubleshooting should include:

  • Verification of antibody specificity using null mutants as negative controls

  • Analysis of potential post-translational modifications that might affect antibody recognition

  • Consideration of genetic compensation mechanisms in knockout strains

  • Evaluation of strain-specific variations that might affect protein expression or antibody binding

  • Implementation of orthogonal detection methods (e.g., mass spectrometry) to resolve discrepancies

Complementary approaches combining genetics, biochemistry, and imaging provide the most robust experimental framework.

What quality control measures ensure reproducible results with SPBC1773.16c antibodies?

Implement these evidence-based quality control practices:

  • Maintain detailed records of antibody source, lot number, and validation experiments

  • Include positive and negative controls in each experiment (including isotype controls for monoclonal antibodies)

  • Validate antibody specificity using multiple techniques (Western blot, immunofluorescence)

  • Perform titration experiments to determine optimal antibody concentration

  • Consider independent verification with different antibody clones targeting separate epitopes

Reproducibility challenges in antibody research necessitate rigorous documentation and standardized protocols.

How should researchers interpret changes in SPBC1773.16c detection across different experimental conditions?

When analyzing condition-dependent changes:

  • Normalize protein expression to appropriate housekeeping controls specific to fission yeast

  • Consider cell cycle effects, as protein expression may vary with cell cycle phase

  • Account for potential changes in protein localization or compartmentalization

  • Evaluate post-translational modifications that might affect antibody recognition

  • Validate findings using orthogonal techniques, especially when studying stress responses or nutrient limitation conditions relevant to fission yeast biology

By applying these integrated approaches, researchers can generate reliable insights into SPBC1773.16c function in fission yeast models.

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