SPBC17D1.07c Antibody

What is SPBC17D1.07c protein and what is its significance in fission yeast research?

SPBC17D1.07c is a protein found in Schizosaccharomyces pombe (strain 972 / ATCC 24843), commonly known as fission yeast. This protein is part of the extensive research into translational regulation in response to environmental stress in yeast models. Research indicates that fission yeast cells undergo various cellular responses to stress signals, including adaptation, resistance, delayed cell division, growth arrest, or cell death, all of which involve changes in global gene expression patterns . SPBC17D1.07c may play a role in these cellular responses, making antibodies against this protein valuable tools for studying stress response mechanisms in eukaryotic cells.

What are the validated applications for SPBC17D1.07c Antibody?

The SPBC17D1.07c Antibody (product code CSB-PA605953XA01SXV) has been validated for the following applications:

• Enzyme-Linked Immunosorbent Assay (ELISA)

• Western Blotting (WB)

These applications ensure proper identification of the target antigen in experimental settings . For optimum results, researchers should follow manufacturer-specific protocols and optimize conditions based on their specific experimental setup.

What are the recommended storage and handling protocols for SPBC17D1.07c Antibody?

For optimal antibody performance and longevity:

• Upon receipt, store the antibody at -20°C or -80°C

• Avoid repeated freeze-thaw cycles to maintain antibody integrity

• The antibody is supplied in liquid form

• Storage buffer consists of 50% Glycerol, 0.01M PBS, pH 7.4, with 0.03% Proclin 300 as a preservative

Similar to other research antibodies, proper aliquoting upon first thaw can help minimize freeze-thaw cycles and preserve antibody activity over time.

What controls should be included when using SPBC17D1.07c Antibody in experimental workflows?

A robust experimental design using SPBC17D1.07c Antibody should include:

Positive Controls:

• Lysates from wild-type Schizosaccharomyces pombe (strain 972 / ATCC 24843)

• Recombinant SPBC17D1.07c protein (as used in immunization)

Negative Controls:

• Lysates from SPBC17D1.07c knockout/deletion strains

• Non-target species samples to confirm specificity

• Secondary antibody-only controls to detect non-specific binding

Similar to antibody validation approaches used in other systems, antibody specificity can be confirmed through techniques like those used in analyzing antibody-dependent cell-mediated cytotoxicity (ADCC) where target specificity is critical .

What is the expected timeline for custom SPBC17D1.07c Antibody production?

The lead time for production of custom SPBC17D1.07c Antibody is typically 14-16 weeks . Researchers should factor this extended timeline into their experimental planning. This timeline is consistent with other custom antibody development services that involve:

• Immunogen preparation and purification

• Host animal immunization

• Multiple rounds of testing and purification

• Quality control and validation steps

Custom antibody development services, similar to those offered by companies like Antibody Research Corporation, follow standardized protocols for polyclonal antibody development in various host species including rabbits .

How can SPBC17D1.07c Antibody be utilized in translational regulation studies?

SPBC17D1.07c Antibody can be incorporated into translational regulation studies through:

• Polysome Profiling: Detecting the association of SPBC17D1.07c with actively translating ribosomes

• Stress Response Analysis: Monitoring changes in SPBC17D1.07c expression and localization under various stress conditions

• Co-Immunoprecipitation: Identifying interaction partners in translation initiation complexes

• Chromatin Immunoprecipitation (ChIP): Examining potential roles in transcriptional regulation

These approaches align with current research in fission yeast that focuses on "translational response to environmental stress, building on data gained from translational profiling" . By incorporating this antibody into such methodologies, researchers can explore the functional roles of SPBC17D1.07c in cellular stress responses.

What strategies can optimize Western blot detection of SPBC17D1.07c?

For optimal Western blot detection of SPBC17D1.07c protein:

• Sample Preparation:

  • Use appropriate lysis buffers containing protease inhibitors

  • Normalize protein loading (20-50 μg total protein per lane)

  • Include both reducing and non-reducing conditions to account for potential disulfide bonds

• Blocking and Antibody Incubation:

  • Test different blocking agents (5% non-fat milk, 3-5% BSA)

  • Optimize primary antibody dilution (starting at 1:1000 as recommended for similar antibodies)

  • Incubate at 4°C overnight for increased specificity

• Detection and Analysis:

  • Use appropriate secondary antibodies conjugated to HRP or fluorescent tags

  • Include molecular weight markers to confirm target band (refer to the expected molecular weight of SPBC17D1.07c)

  • Consider enhanced chemiluminescence (ECL) for sensitive detection

These recommendations align with standard practices for Western blotting using other well-characterized antibodies like Cathepsin B (D1C7Y) XP® Rabbit mAb, which demonstrates optimal results at 1:1000 dilution .

How can researchers address cross-reactivity concerns with SPBC17D1.07c Antibody?

To minimize cross-reactivity issues:

• Antibody Validation:

  • Perform pre-adsorption tests with recombinant SPBC17D1.07c protein

  • Test antibody on knockout/deletion strains as negative controls

  • Compare recognition patterns between different antibody lots

• Protocol Optimization:

  • Increase washing steps duration and frequency

  • Titrate antibody concentration to minimize non-specific binding

  • Optimize blocking conditions using different agents and concentrations

• Advanced Approaches:

  • Consider using protein A/G purification to enhance antibody purity

  • Employ competitive binding assays to confirm specificity

  • Use peptide competition assays with specific and non-specific peptides

Similar specificity validation methods have been successfully employed with antibodies against other proteins, as demonstrated in studies with anti-Sp17 monoclonal antibodies .

What are potential solutions for weak or absent signals when using SPBC17D1.07c Antibody?

When encountering weak or absent signals:

• Sample Preparation Troubleshooting:

  • Ensure target protein is not degraded during extraction

  • Verify expression levels of SPBC17D1.07c under experimental conditions

  • Consider enrichment techniques for low-abundance proteins

• Detection Enhancement:

  • Increase antibody concentration incrementally

  • Extend incubation time for primary antibody

  • Use signal amplification systems (e.g., biotin-streptavidin)

• Protocol Refinement:

  • Optimize antigen retrieval methods for fixed samples

  • Adjust blocking time and reagents to reduce background while preserving signal

  • Evaluate alternative detection systems with higher sensitivity

Researchers should follow a systematic approach similar to that used in optimizing other antibody-based detection methods, as seen in applications of recombinant antibodies that offer "superior lot-to-lot consistency" .

How can computational approaches enhance SPBC17D1.07c Antibody-based research?

Computational methods can significantly enhance antibody-based research through:

• Epitope Prediction and Analysis:

  • In silico prediction of SPBC17D1.07c epitopes for improved understanding of antibody binding

  • Structural modeling of antibody-antigen interactions

  • Identification of potentially cross-reactive epitopes in related proteins

• Data Integration:

  • Correlation of SPBC17D1.07c expression data with transcriptomics and proteomics datasets

  • Pathway analysis to place SPBC17D1.07c in relevant biological contexts

  • Machine learning approaches to predict protein-protein interactions

• Structure-Function Analysis:

  • Molecular dynamics simulations to understand protein behavior under different conditions

  • Prediction of post-translational modifications that might affect antibody recognition

  • Virtual screening for small molecule modulators of SPBC17D1.07c function

These computational approaches align with emerging methodologies like those used in the "rapid in silico design of antibodies using machine learning and supercomputing" , which could potentially be applied to enhance SPBC17D1.07c antibody research.

How can SPBC17D1.07c Antibody contribute to multiomics research approaches?

SPBC17D1.07c Antibody can be integrated into multiomics research through:

• Combined Proteomics and Transcriptomics:

  • Correlation of protein levels (detected by SPBC17D1.07c Antibody) with mRNA expression

  • Analysis of translational efficiency under various stress conditions

  • Identification of post-transcriptional regulatory mechanisms

• Spatial Proteomics:

  • Immunofluorescence studies to track SPBC17D1.07c localization during stress response

  • Proximity labeling to identify neighboring proteins in cellular compartments

  • Super-resolution microscopy for detailed localization studies

• Temporal Analysis:

  • Time-course experiments to track SPBC17D1.07c expression dynamics during stress response

  • Correlation with global translational changes as observed in yeast stress studies

  • Integration with metabolomics data to link translational regulation with metabolic adaptations

This integrated approach builds on the understanding that "cells usually studied under optimal growth conditions in the laboratory environment don't necessarily reflect the natural environment of these cells" , allowing for more comprehensive insights into SPBC17D1.07c function in realistic biological contexts.