SPBC1685.17 Antibody

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Description

Biological Context of SPBC1685.17

SPBC1685.17 (Sup11p) is essential for cell viability and participates in:

  • Cell wall remodeling: Modifies β-1,3-glucan and β-1,6-glucan polymers .

  • O-mannosylation: Regulates glycosylation of cell wall proteins, including Gas2p .

  • Septum assembly: Depletion causes abnormal septum morphology and cell separation defects .

Research Applications of SPBCAntibody

The antibody enables:

  • Immunofluorescence: Visualizes Sup11p localization during septum formation .

  • Western blotting: Detects hypo-mannosylated Sup11p in O-mannosylation mutants .

  • Functional studies: Links Sup11p to glucanase regulation (e.g., Gas2p) and cell wall stress responses .

Experimental Findings:

  • Cell wall composition:

    • Sup11p depletion increases β-1,3-glucan deposition at septa .

    • Transcriptome analysis shows upregulated glucanases (e.g., ags1, bgp3) and glycosidases .

  • Genetic interactions:

    • Synthetic lethality with O-mannosylation mutants (oma4Δ) .

A. Western Blot Analysis :

  1. Sample preparation: Isolate proteins from S. pombe lysates.

  2. Electrophoresis: Use 10% SDS-PAGE under reducing conditions.

  3. Antibody dilution: 1:1,000 with HRP-conjugated secondary antibodies.

B. Immunofluorescence :

  1. Fixation: Treat cells with formaldehyde.

  2. Permeabilization: Use lytic enzymes for spheroplast formation.

  3. Staining: Incubate with SPBC1685.17 antibody (1:500) and FITC-conjugated secondary antibodies.

Challenges and Future Directions

  • Specificity: Cross-reactivity with other glycosylation-related proteins requires validation .

  • Functional assays: Further studies needed to clarify Sup11p’s enzymatic activity and regulatory partners.

Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
SPBC1685.17 antibody; Putative uncharacterized protein C1685.17 antibody
Target Names
SPBC1685.17
Uniprot No.

Q&A

What is the SPBC1685.17 protein and why would researchers develop antibodies against it?

SPBC1685.17 is a protein-coding gene in Schizosaccharomyces pombe (fission yeast). Researchers develop antibodies against such proteins to study their expression patterns, subcellular localization, protein-protein interactions, and functional roles in cellular processes. Antibodies provide a powerful tool for detecting and tracking specific proteins within complex biological samples, allowing researchers to elucidate their roles in cellular pathways and potential implications in disease models .

How should researchers validate the specificity of an antibody against SPBC1685.17?

Researchers should employ multiple validation strategies as outlined in the "five pillars" of antibody characterization. These include: (i) genetic strategies using knockout or knockdown techniques; (ii) orthogonal strategies comparing antibody-dependent and antibody-independent results; (iii) multiple independent antibody strategies comparing results using different antibodies targeting the same protein; (iv) recombinant strategies increasing target protein expression; and (v) immunocapture mass spectrometry to identify proteins captured by the antibody . For SPBC1685.17, validation in S. pombe knockout strains would be particularly valuable to confirm specificity.

What applications are most suitable for monoclonal antibodies against yeast proteins like SPBC1685.17?

Monoclonal antibodies against yeast proteins are particularly valuable for flow cytometry, immunofluorescence microscopy, immunoprecipitation, and Western blotting. These techniques allow researchers to detect and quantify target proteins in various experimental contexts. For example, flow cytometric analysis can be used to detect proteins in whole cells, as demonstrated with other monoclonal antibodies that undergo quality control testing through immunofluorescent staining with flow cytometric analysis . These applications enable researchers to track protein expression, localization, and interactions throughout the cell cycle or under different experimental conditions.

How can researchers troubleshoot cross-reactivity issues when using SPBC1685.17 antibodies in evolutionarily related organisms?

When working across species, researchers should:

  • Perform comprehensive sequence alignment analysis of the target epitope across species

  • Conduct Western blot analysis using purified protein samples from each species alongside negative controls

  • Implement competitive binding assays with purified proteins

  • Test antibody specificity in lysates from organisms both expressing and lacking the target (using knockout/knockdown)

  • Consider epitope mapping to identify the specific binding region

As outlined in antibody validation principles, comprehensive characterization must document: (i) binding to the target protein; (ii) binding to the target in complex mixtures; (iii) absence of binding to non-target proteins; and (iv) performance under specific experimental conditions . For evolutionarily conserved proteins like those in yeast, these considerations are particularly important to prevent misleading results.

What experimental controls are essential when using SPBC1685.17 antibodies for immunoprecipitation studies?

Control TypeImplementationPurposeAnalysis Method
Negative ControlIP with isotype-matched control antibodyIdentifies non-specific bindingCompare protein bands/peaks with test sample
Genetic ControlIP from knockout/knockdown cellsConfirms specificityAbsence of target band confirms specificity
Input ControlSmall fraction of pre-IP lysateMeasures IP efficiencyCompare target abundance pre/post IP
Blocking PeptidePre-incubate antibody with purified antigenConfirms epitope specificityLoss of signal indicates specificity
Reciprocal IPIP with antibody against interacting proteinValidates protein-protein interactionsCo-precipitation confirms interaction

How can researchers determine the optimal antibody concentration for detecting SPBC1685.17 in different experimental systems?

Researchers should perform systematic titration experiments for each specific application. For flow cytometry, start with a concentration range between 0.1-5 μg per test (where a test is defined as the amount of antibody that will stain a cell sample in a final volume of 100 μL) . For Western blotting, perform a dilution series typically ranging from 1:500 to 1:5000. For immunofluorescence, test dilutions from 1:50 to 1:500.

The optimal concentration should provide:

  • Maximum specific signal with minimal background

  • Linear relationship between signal intensity and protein quantity

  • Reproducible results across technical replicates

Document the optimal concentration for each specific application, cell/tissue type, and experimental condition, as antibody performance is context-dependent . Multiple experimental replicates should be performed to ensure reliability of the established protocol.

What quality metrics should researchers evaluate when selecting or generating SPBC1685.17 antibodies?

When selecting antibodies, researchers should evaluate:

  • Purity: Greater than 90% as determined by SDS-PAGE

  • Aggregation: Less than 10% as determined by HPLC

  • Filtration: Confirmation of 0.2 μm post-manufacturing filtration

  • Validation data: Comprehensive characterization data specific to intended applications

  • Clone information: For monoclonal antibodies, information about the clone origin and isotype

  • Epitope details: Location of the binding site within the protein sequence

Additionally, researchers should consider reproducibility metrics from independent laboratories. Recent initiatives have emphasized that antibody performance is application-specific, and characterization should be performed by end users for each specific application .

How can researchers distinguish between true signals and artifacts when using SPBC1685.17 antibodies in immunofluorescence microscopy?

To distinguish true signals from artifacts:

  • Use multiple detection methods: Complement immunofluorescence with orthogonal techniques like Western blotting or mass spectrometry

  • Include genetic controls: Test antibodies in cells lacking the target protein (knockout/knockdown)

  • Implement peptide competition: Pre-incubate antibody with purified antigen to block specific binding

  • Employ multiple antibodies: Use independently generated antibodies targeting different epitopes

  • Perform co-localization studies: Confirm expected subcellular localization with known markers

These approaches align with established antibody validation principles and help prevent misinterpretation of non-specific signals . Document all controls and include them in publications to enhance reproducibility.

How can researchers utilize SPBC1685.17 antibodies in proteomics workflows to identify interaction partners?

Researchers can implement several proteomics approaches:

  • Immunoprecipitation-Mass Spectrometry (IP-MS): Use the antibody to pull down SPBC1685.17 along with interacting proteins, followed by mass spectrometry identification. This approach has been successfully implemented for other proteins, such as the ALK protein in cancer research .

  • Proximity Labeling: Couple the antibody with enzymes like BioID or APEX2 to label proteins in close proximity to SPBC1685.17.

  • Cross-linking IP (CLIP): Utilize chemical cross-linkers before immunoprecipitation to capture transient interactions.

  • Sequential IP: Perform tandem immunoprecipitations to identify components of specific complexes.

For all these approaches, comprehensive controls are essential, including isotype controls, genetic controls (knockout/knockdown), and specificity validation . Mass spectrometry data should be carefully analyzed to distinguish true interactors from common contaminants in immunoprecipitation experiments.

What considerations are important when developing phospho-specific antibodies against SPBC1685.17?

Developing phospho-specific antibodies requires:

  • Epitope design: Selection of peptides containing the phosphorylation site with appropriate flanking sequences

  • Validation strategy: Comparison of antibody reactivity against phosphorylated and non-phosphorylated proteins

  • Phosphatase treatment controls: Demonstration of signal loss after phosphatase treatment

  • Mutant protein controls: Testing against proteins with phospho-mimetic and phospho-null mutations

  • Physiological relevance: Validation under conditions known to induce or inhibit phosphorylation

Phospho-specific antibodies require particularly rigorous validation, as they must distinguish between highly similar epitopes differing only by a phosphate group. As with all antibodies, characterization must be application-specific and include appropriate controls .

How should researchers account for potential epitope masking when studying SPBC1685.17 in protein complexes?

To address potential epitope masking:

  • Use multiple antibodies: Target different epitopes across the protein

  • Optimize sample preparation: Test different fixation methods, buffer conditions, and detergents

  • Consider native vs. denaturing conditions: Compare results under conditions that preserve or disrupt protein complexes

  • Implement biochemical approaches: Use methods like limited proteolysis to expose hidden epitopes

  • Validate with tagged proteins: Compare antibody detection with tag-based detection systems

The context-dependence of antibody specificity has been emphasized in international workshops on affinity proteomics, highlighting that characterization needs to be performed by end users for each specific application and experimental condition .

What statistical approaches should be used when analyzing quantitative data from SPBC1685.17 antibody-based experiments?

Analysis StageRecommended ApproachPurpose
Experimental DesignPower analysisDetermine sample size needed for statistical significance
NormalizationInternal controlsAccount for loading/technical variation
Data DistributionShapiro-Wilk testDetermine if parametric tests are appropriate
Statistical Testingt-test/ANOVA (parametric) or Mann-Whitney/Kruskal-Wallis (non-parametric)Compare between conditions
Multiple TestingBonferroni or FDR correctionControl false positives
Dynamic RangeStandard curve analysisEnsure measurements within linear range
ReproducibilityCoefficient of variationAssess experimental consistency

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