SPAC6G9.14 Antibody

Shipped with Ice Packs
In Stock

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
SPAC6G9.14 antibody; Pumilio domain-containing protein C6G9.14 antibody
Target Names
SPAC6G9.14
Uniprot No.

Q&A

What is SPAC6G9.14 and why is it significant in research?

SPAC6G9.14 is a protein-coding gene found in Schizosaccharomyces pombe (fission yeast). Antibodies against this protein are valuable research tools in studying yeast cellular functions. Similar to other yeast protein antibodies like SPAC6G10.09 , these research reagents are important for investigating protein expression, localization, and function in eukaryotic model organisms. The significance lies in using S. pombe as a model organism for studying conserved cellular processes that may have implications for human biology.

What applications are suitable for SPAC6G9.14 antibodies?

Based on similar antibodies against yeast proteins, SPAC6G9.14 antibodies are typically used in:

  • Western blotting for protein detection and quantification

  • ELISA for quantitative protein measurement

  • Immunoprecipitation for protein-protein interaction studies

  • Immunocytochemistry for cellular localization studies

These applications can be validated through rigorous experimental design similar to those used for other research antibodies .

How should I validate SPAC6G9.14 antibody specificity?

Antibody validation is a critical step to ensure experimental reliability. Methodological approaches include:

  • Western blot analysis comparing wild-type and knockout/knockdown strains

  • Peptide competition assays to confirm epitope specificity

  • Multiple antibody approach using antibodies targeting different epitopes

  • Cross-reactivity testing against closely related proteins

  • Immunoprecipitation followed by mass spectrometry analysis

This multi-method validation approach, similar to that used for S6K2 antibodies , ensures that observed signals are specific to SPAC6G9.14 protein.

What are the optimal conditions for using SPAC6G9.14 antibodies in Western blot analysis?

Methodological approach:

  • Sample preparation:

    • Use freshly prepared yeast extracts with protease inhibitors

    • Standardize protein concentration (25-50 μg per lane)

    • Include positive and negative controls

  • Electrophoresis and transfer:

    • 10-12% SDS-PAGE gels typically provide optimal resolution

    • PVDF membranes are recommended for enhanced protein binding

  • Antibody incubation:

    • Primary antibody dilution: Test a range (1:500-1:2000) to determine optimal concentration

    • Secondary antibody: Use species-appropriate HRP-conjugated antibody

  • Detection:

    • Enhanced chemiluminescence provides sensitive detection

    • Consider signal enhancement systems for low abundance proteins

Optimization table based on similar antibody research :

ParameterStarting ConditionOptimization Range
Blocking buffer5% non-fat milk in TBST1-5% BSA or milk
Primary antibody dilution1:10001:500-1:5000
Incubation timeOvernight at 4°C1 hr at RT to overnight at 4°C
Secondary antibody dilution1:50001:2000-1:10000
Washing3 × 5 min TBST3-5 × 5-10 min

How can I optimize immunoprecipitation protocols for SPAC6G9.14 antibodies?

For successful immunoprecipitation of yeast proteins, consider:

  • Cell lysis: Use gentle lysis buffers (e.g., 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% NP-40) with protease and phosphatase inhibitors.

  • Pre-clearing: Pre-clear lysates with protein A/G beads to reduce non-specific binding.

  • Antibody binding: Typically 2-5 μg antibody per 500 μg total protein provides optimal results.

  • Bead selection: Choose magnetic or agarose beads coated with protein A, G, or A/G depending on the antibody isotype.

  • Washing conditions: Multiple washes with decreasing detergent concentration improve specificity while preserving interactions.

This approach has been successful with various research antibodies as demonstrated in studies examining protein-protein interactions .

How can high-throughput single-cell sequencing be integrated with SPAC6G9.14 antibody studies?

Advanced research integrating antibody studies with sequencing technologies:

  • Method integration:

    • Use high-throughput single-cell RNA and VDJ sequencing to identify cells expressing SPAC6G9.14

    • Sort cells based on antibody labeling using flow cytometry

    • Perform paired analysis of protein expression and transcriptional profiles

  • Data analysis:

    • Use bioinformatics to correlate protein expression with gene expression patterns

    • Identify regulatory networks associated with SPAC6G9.14 function

    • Map cellular heterogeneity in expression and localization

Similar approaches using high-throughput sequencing with antibody studies have yielded significant insights in other research contexts .

What structural analysis techniques can be used to characterize SPAC6G9.14 antibody-antigen interactions?

Methodological approaches for structural characterization:

  • X-ray crystallography:

    • Co-crystallize antibody fragments (Fab or scFv) with purified SPAC6G9.14 protein

    • Determine atomic resolution structures to map epitope-paratope interactions

  • Cryo-electron microscopy:

    • Visualize antibody-antigen complexes in near-native conditions

    • Generate 3D reconstructions to analyze binding modes

  • Molecular modeling:

    • Use tools like AlphaFold2 to predict antibody-antigen complex structures

    • Perform molecular docking to identify potential binding interfaces

  • Epitope mapping:

    • Use HDX-MS (hydrogen-deuterium exchange mass spectrometry) to identify protected regions upon antibody binding

    • Employ alanine scanning mutagenesis to identify critical residues for binding

These methods have successfully characterized antibody-antigen interactions in various research contexts .

How should researchers address cross-reactivity in SPAC6G9.14 antibody experiments?

Methodological approach to addressing cross-reactivity:

  • Experimental controls:

    • Include knockout/knockdown controls in all experiments

    • Use pre-immune serum or isotype controls

    • Test antibody against closely related proteins

  • Antibody purification:

    • Consider affinity purification against the specific antigen

    • Use negative selection to remove cross-reactive antibodies

  • Validation strategies:

    • Peptide competition assays using specific and related peptides

    • Western blot analysis across closely related species

    • Mass spectrometry verification of immunoprecipitated proteins

Similar validation strategies have been effective for ensuring specificity of research antibodies .

What quality control metrics should be used to assess SPAC6G9.14 antibody performance over time?

Standard quality control procedures:

  • Routine validation:

    • Regular Western blot testing against positive controls

    • Batch-to-batch comparison using standardized lysates

    • Epitope-specific ELISA to confirm binding activity

  • Storage stability monitoring:

    • Aliquot antibodies to minimize freeze-thaw cycles

    • Test antibody performance after defined storage periods

    • Compare fresh vs. stored antibody performance

  • Quantitative metrics:

    • Signal-to-noise ratio in Western blots

    • Binding affinity measurements (KD values)

    • Lot-to-lot consistency in immunoprecipitation efficiency

Storage ConditionExpected StabilityRecommended Testing Interval
-20°C, with glycerol6-12 monthsEvery 3 months
-80°C1-2+ yearsEvery 6 months
4°C (working aliquot)1-2 weeksBefore each critical experiment

These quality control approaches align with standard practices in antibody research .

How can SPAC6G9.14 antibodies be adapted for multiplexed imaging applications?

Advanced multiplexed imaging approaches:

  • Antibody conjugation strategies:

    • Direct conjugation to fluorophores with distinct spectral properties

    • Use of secondary antibodies with minimal cross-reactivity

    • Sequential labeling with antibody stripping between rounds

  • Multiplexed imaging platforms:

    • Cyclic immunofluorescence (CyCIF) for sequential antibody staining

    • Mass cytometry (CyTOF) using metal-conjugated antibodies

    • DNA-barcoded antibodies for multiplexed detection

  • Analysis considerations:

    • Computational correction for spectral overlap

    • Machine learning algorithms for cell classification

    • Spatial relationship mapping between proteins of interest

These approaches have been successfully implemented for other research antibodies in complex biological systems .

What are the considerations for using SPAC6G9.14 antibodies in comparative cross-species studies?

Methodological approach to cross-species applications:

  • Epitope conservation analysis:

    • Perform sequence alignment across species to identify conserved epitopes

    • Test epitope conservation experimentally with Western blots of lysates from multiple species

    • Consider generating antibodies against highly conserved regions for cross-species applications

  • Validation requirements:

    • Each species requires independent validation

    • Use species-specific positive and negative controls

    • Consider species-specific optimization of protocols

  • Experimental design:

    • Include appropriate controls for each species

    • Standardize sample preparation across species

    • Consider evolutionary distance when interpreting results

This approach ensures reliable cross-species comparisons in antibody-based studies .

What statistical approaches are recommended for quantifying SPAC6G9.14 antibody-based experimental results?

Robust statistical analysis methodologies:

  • Western blot quantification:

    • Normalize to loading controls (e.g., tubulin, GAPDH)

    • Perform replicate experiments (minimum n=3)

    • Use appropriate statistical tests (t-test for two conditions, ANOVA for multiple conditions)

  • Immunofluorescence quantification:

    • Analyze multiple fields (>10) and cells (>100) per condition

    • Measure parameters including intensity, localization, and co-localization

    • Apply appropriate statistical tests with correction for multiple comparisons

  • Recommended statistical approaches:

    • For normally distributed data: parametric tests (t-test, ANOVA)

    • For non-normally distributed data: non-parametric tests (Mann-Whitney, Kruskal-Wallis)

    • For correlations: Pearson (linear) or Spearman (non-linear) correlation coefficients

These statistical approaches ensure rigorous interpretation of antibody-based experimental results .

How should researchers address contradictory results between different SPAC6G9.14 antibody-based assays?

Methodological approach to resolving contradictions:

  • Systematic evaluation:

    • Compare epitopes recognized by different antibodies

    • Assess potential post-translational modifications that might affect epitope recognition

    • Evaluate assay-specific factors (denaturing vs. native conditions)

  • Validation with orthogonal techniques:

    • Complement antibody-based results with genetic approaches (knockout/knockdown)

    • Use mass spectrometry to confirm protein identity and modifications

    • Apply RNA-based methods (RT-PCR, RNA-seq) to correlate with protein data

  • Resolution strategies:

    • Test antibodies under identical conditions side-by-side

    • Use multiple antibodies targeting different epitopes

    • Consider protein conformation, complexes, and modifications in interpretation

This systematic approach helps resolve contradictory results across different antibody-based assays .

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.