SPCC191.01 Antibody

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Description

SPCC191.10: Functional Overview

SPCC191.10 is a regulatory gene in S. pombe that plays a critical role in transcriptional regulation and cell wall synthesis. Key findings include:

  • Transcriptional Regulation:
    SPCC191.10 functions as a cis-regulatory element in the large intergenic region upstream of the inv1+ gene, which is involved in glucose-mediated transcriptional repression. Deletions in SPCC191.10 significantly impair inv1+ expression, suggesting its role in activating transcription over long distances (up to 3 kb) .

  • Cell Wall Synthesis:
    SPCC191.10 is linked to β-1,6-glucan production, a key component of the yeast cell wall. Mutants with reduced SPCC191.10 expression exhibit defective septum assembly and accumulate abnormal β-1,3-glucan deposits, highlighting its importance in cell division and structural integrity .

Molecular Mechanisms

SPCC191.10 interacts with chromatin-modifying complexes and cellular machinery:

  • Chromatin Remodeling:
    The SAGA and Swi/Snf complexes are recruited to SPCC191.10 in a glucose-dependent manner, facilitating transcriptional activation .

  • Protein Glycosylation:
    SPCC191.10 is associated with O-mannosylation mutants, where its hypo-mannosylated form can undergo N-glycosylation at an unusual sequon, compensating for O-mannosylation defects .

Experimental Evidence

SPCC191.10 has been studied using genetic and biochemical approaches:

  • Deletion Studies:
    Deletions spanning SPCC191.10 led to reduced inv1+ mRNA levels and disrupted glucose-mediated repression .

  • Mutant Phenotypes:
    Conditional knockdown of SPCC191.10 caused septum malformation and β-1,6-glucan deficiency, underscoring its role in cell wall synthesis .

Implications for Research

The study of SPCC191.10 provides insights into:

  • Long-Distance Gene Regulation:
    Its ability to activate transcription from distances up to 3 kb challenges conventional models of cis-regulatory elements .

  • Cell Wall Dynamics:
    Its role in β-1,6-glucan synthesis and septum formation suggests potential targets for antifungal therapies .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
SPCC191.01 antibody; SPCC417.13 antibody; Uncharacterized protein C191.01 antibody
Target Names
SPCC191.01
Uniprot No.

Target Background

Database Links
Subcellular Location
Cytoplasm. Nucleus.

Q&A

What is SPCC191.01 Antibody and what organism does it target?

SPCC191.01 Antibody (CSB-PA527258XA01SXV) specifically recognizes proteins encoded by the SPCC191.01 gene from Schizosaccharomyces pombe (fission yeast), strain 972/ATCC 24843. This antibody is used for detecting the corresponding protein in various experimental applications. It is classified as a recombinant antibody developed for research purposes in studying S. pombe cellular processes and protein functions .

What are the standard applications for SPCC191.01 Antibody in fission yeast research?

The primary applications include Western blotting, immunoprecipitation, and immunofluorescence microscopy for protein localization studies. In Western blotting, this antibody enables detection of native and denatured forms of the target protein. For immunofluorescence, it facilitates subcellular localization studies, particularly valuable in cell cycle or stress response investigations in S. pombe. These techniques are analogous to approaches used with other research antibodies, such as those targeting phosphorylated proteins in human samples .

How should I design validation experiments for SPCC191.01 Antibody before using it in my research?

To validate SPCC191.01 Antibody specificity, implement a multi-step approach: (1) Perform Western blot analysis comparing wild-type S. pombe with SPCC191.01 deletion mutants; (2) Include positive controls from overexpression systems; (3) Conduct peptide competition assays to confirm binding specificity; and (4) Verify cross-reactivity against related proteins. These validation protocols are similar to those employed for other research antibodies and should be adapted to your specific experimental conditions .

What sample preparation methods are most effective when working with SPCC191.01 Antibody for detection of fission yeast proteins?

For optimal results with SPCC191.01 Antibody, prepare fission yeast samples using: (1) Mechanical disruption with glass beads in a specialized buffer containing 50mM Tris-HCl (pH 7.5), 150mM NaCl, 5mM EDTA, 10% glycerol, and protease inhibitor cocktail; (2) Centrifugation at 15,000×g for 15 minutes to remove cell debris; (3) Protein quantification using Bradford or BCA assay; and (4) Sample denaturation at 95°C for 5 minutes in Laemmli buffer for SDS-PAGE analysis. This methodology ensures protein integrity while maximizing antibody binding efficiency .

How can I incorporate SPCC191.01 Antibody into co-immunoprecipitation experiments to study protein-protein interactions?

For co-immunoprecipitation with SPCC191.01 Antibody: (1) Prepare cell lysates under non-denaturing conditions using a buffer containing 20mM HEPES (pH 7.4), 150mM NaCl, 0.5% NP-40, and protease/phosphatase inhibitors; (2) Pre-clear lysates with Protein A/G beads; (3) Incubate cleared lysates with SPCC191.01 Antibody (5-10μg per mg of protein) overnight at 4°C; (4) Add pre-washed Protein A/G beads and incubate for 2-4 hours; (5) Wash extensively and elute protein complexes for analysis. This approach has proven effective for studying protein interactions in similar experimental systems .

How can SPCC191.01 Antibody be utilized in ChIP-seq experiments to study chromatin interactions?

For ChIP-seq applications with SPCC191.01 Antibody: (1) Cross-link S. pombe cells with 1% formaldehyde for 15 minutes; (2) Lyse cells and sonicate to fragment chromatin (200-500bp fragments); (3) Immunoprecipitate using 5μg SPCC191.01 Antibody per 25μg chromatin; (4) Reverse cross-links and purify DNA; (5) Prepare libraries for next-generation sequencing. This methodology can reveal genome-wide binding sites, particularly if the SPCC191.01 protein has DNA-binding properties or participates in chromatin-associated complexes. Similar approaches have been used successfully with other antibodies targeting yeast proteins .

What considerations are important when using SPCC191.01 Antibody for quantitative immunoblotting across different experimental conditions?

For quantitative immunoblotting with SPCC191.01 Antibody: (1) Implement strict protein loading normalization using housekeeping proteins specific to S. pombe; (2) Perform technical triplicates with internal calibration curves using purified recombinant protein standards; (3) Ensure linear detection range by testing multiple exposure times or using fluorescent secondary antibodies; (4) Apply statistical analysis methods such as ANOVA with post-hoc tests for multi-condition comparisons. This quantitative approach allows for precise measurement of protein expression changes across different experimental conditions, similar to methodologies used for phospho-specific antibodies .

How can proximity ligation assays (PLA) be performed using SPCC191.01 Antibody to detect in situ protein interactions?

To perform PLA using SPCC191.01 Antibody: (1) Fix S. pombe cells with 3.7% formaldehyde and permeabilize with 0.1% Triton X-100; (2) Block with 5% BSA for 1 hour; (3) Incubate with SPCC191.01 Antibody (1:100) and antibody against the potential interacting protein (1:100) overnight at 4°C; (4) Apply PLA probes and follow manufacturer's protocol for ligation and amplification; (5) Visualize using fluorescence microscopy. This technique provides spatial resolution of protein interactions in intact cells, allowing detection of transient or weak interactions that may be lost in co-immunoprecipitation experiments .

What are the common sources of background signal when using SPCC191.01 Antibody, and how can they be minimized?

Common background sources with SPCC191.01 Antibody include: (1) Non-specific binding to highly abundant proteins; (2) Cross-reactivity with similar epitopes; (3) Inadequate blocking; and (4) Secondary antibody issues. To minimize background: (a) Optimize antibody dilution (start with 1:1000); (b) Increase blocking time and concentration (5% BSA or milk for 2 hours); (c) Add 0.1% Tween-20 to wash buffers; (d) Consider using more stringent washing conditions; and (e) Pre-absorb the antibody with non-specific proteins if necessary. These approaches are consistent with methods used to optimize signal-to-noise ratios in antibody-based detection systems .

How should I analyze contradictory results obtained with SPCC191.01 Antibody compared to genetic or transcriptomic data?

When facing contradictions between SPCC191.01 Antibody results and other data types: (1) Validate antibody specificity using knockout/knockdown controls; (2) Consider post-translational modifications that might affect antibody recognition; (3) Examine potential discrepancies between protein and mRNA stability; (4) Implement alternative detection methods such as mass spectrometry; and (5) Assess temporal dynamics, as transcriptomic changes often precede protein-level changes. This systematic troubleshooting approach can reconcile apparently contradictory results and potentially reveal interesting biological regulation mechanisms, similar to investigations of preexisting antibody reactivity in other research contexts .

What statistical approaches are recommended for analyzing semi-quantitative data from SPCC191.01 Antibody experiments?

For semi-quantitative analysis of SPCC191.01 Antibody data: (1) Normalize band intensities to loading controls; (2) Apply non-parametric tests (e.g., Mann-Whitney or Kruskal-Wallis) for comparisons between experimental groups; (3) Use Bland-Altman plots to assess agreement between different detection methods; (4) Implement bootstrapping for robust confidence interval estimation; and (5) Consider Bayesian approaches when incorporating prior knowledge about expected protein levels. These statistical methods account for the inherent variability in antibody-based detection and provide more reliable interpretations of experimental outcomes .

How does the performance of SPCC191.01 Antibody compare with antibodies targeting similar proteins in other yeast species?

SPCC191.01 Antibody performance relative to antibodies against homologous proteins in other yeasts varies by application. For Western blotting, SPCC191.01 Antibody typically shows comparable sensitivity to antibodies targeting Saccharomyces cerevisiae homologs, with detection limits of approximately 10-50ng of recombinant protein. For immunofluorescence, it exhibits higher background in S. cerevisiae samples compared to native S. pombe applications. Cross-reactivity studies indicate specificity for fission yeast proteins with minimal recognition of budding yeast counterparts. When selecting between these antibodies, consider the evolutionary conservation of your target protein and the specific experimental requirements .

What approaches can be used to study post-translational modifications of the SPCC191.01 protein using this antibody?

To study post-translational modifications (PTMs) of SPCC191.01 protein: (1) Use phosphatase treatments before immunoblotting to identify phosphorylation-dependent mobility shifts; (2) Combine SPCC191.01 Antibody with phospho-specific antibodies in sequential immunoprecipitation experiments; (3) Apply 2D gel electrophoresis to separate protein isoforms before antibody detection; (4) Use SPCC191.01 Antibody for initial immunoprecipitation followed by mass spectrometry to identify PTMs comprehensively. This multi-technique approach can reveal regulatory modifications similar to those studied in phospho-tyrosine systems like CSF-1-R .

How can SPCC191.01 Antibody be integrated into high-content screening approaches for identifying gene function in fission yeast?

For high-content screening with SPCC191.01 Antibody: (1) Develop a 96-well format immunofluorescence protocol with optimized fixation and permeabilization conditions; (2) Combine SPCC191.01 Antibody (1:200) with markers for cellular compartments; (3) Implement automated image acquisition using confocal microscopy; (4) Apply machine learning algorithms for pattern recognition and phenotype classification; (5) Integrate results with existing genetic interaction databases. This approach enables systematic analysis of protein localization, abundance, and modification states across large mutant collections or drug treatment conditions, similar to approaches used in structure-based immunogen design research .

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