SPAC3H1.10 Antibody

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Description

Antibody Research Methodologies

While "SPAC3H1.10 Antibody" is not identified, the search results highlight methodologies relevant to antibody discovery and characterization:

High-Throughput Antibody Screening

  • Example: A study identified 676 IgG1+ antigen-binding clonotypes from immunized volunteers, leading to the development of Abs-9, a nanomolar-affinity antibody against S. aureus SpA5 .

  • Key Steps:

    1. Antigen-specific memory B-cell sorting via flow cytometry.

    2. Single-cell RNA/VDJ sequencing for antibody sequence identification.

    3. Affinity validation using biolayer interferometry (KD = 1.959 × 10⁻⁹ M for Abs-9 ).

Cross-Reactivity and Specificity Challenges

Antibodies may exhibit off-target binding, as demonstrated in SARS-CoV-2 studies where anti-spike antibodies cross-reacted with 28/55 human tissue antigens (e.g., MBP, GAD-65) . Such findings underscore the importance of rigorous specificity testing, which would be critical for any putative "SPAC3H1.10 Antibody."

Recommendations for Further Investigation

  1. Database Queries:

    • Search PLAbDab or SAbDab using alternative identifiers or sequence data .

    • Explore UniProt or NCBI’s Protein database for "SPAC3H1.10" as a potential protein target.

  2. Experimental Validation:

    • If the antibody exists in proprietary catalogs, request technical documentation for epitope mapping, immunogen sequences, and reactivity profiles (e.g., as shown for IL-10 antibodies ).

  3. Nomenclature Clarification:

    • Contact the source referencing "SPAC3H1.10 Antibody" to confirm the identifier’s context (e.g., target species, application).

Related Antibody Examples

Antibody NameTargetAffinity (KD)ApplicationSource
Abs-9S. aureus SpA51.959 × 10⁻⁹ MProphylaxis vs. MRSAPreclinical study
Anti-IL-10 (JES3-9D7)Human IL-10N/AELISA, neutralizationCommercial
Anti-Phospho-Histone H3Histone H3 (Ser10)Endogenous detectionWestern blot, IHCCell Signaling

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
SPAC3H1.10 antibody; Glutathione gamma-glutamylcysteinyltransferase antibody; EC 2.3.2.15 antibody; Phytochelatin synthase antibody
Target Names
SPAC3H1.10
Uniprot No.

Target Background

Function
This antibody is essential for the detoxification of heavy metals such as cadmium and arsenate.
Database Links
Protein Families
Phytochelatin synthase family

Q&A

What is SPAC3H1.10 and why is it significant for research?

SPAC3H1.10 refers to a gene found in Schizosaccharomyces pombe (fission yeast). The antibody targeting the protein product of this gene serves as a valuable research tool for studying yeast cellular processes. The significance lies in its application for investigating fundamental cellular mechanisms conserved across eukaryotes. When designing experiments, researchers should consider that this antibody allows for specific detection of its target protein through various immunological techniques, providing insights into protein expression, localization, and function within cellular contexts .

What are the validated applications for SPAC3H1.10 antibody?

While specific application data for SPAC3H1.10 antibody is limited in the search results, antibodies of this class are typically validated for multiple research applications that likely include:

ApplicationTypical DilutionPurpose
Western Blotting1:1000Detection of target protein in cell/tissue lysates
Immunohistochemistry1:100-1:400Visualization of protein in fixed tissue sections
Immunofluorescence1:200-1:800Cellular localization studies

These applications align with standard antibody usage protocols similar to those used with other research antibodies like the Phospho-Histone H3 (Ser10) Antibody . When implementing these techniques, researchers should conduct preliminary optimization experiments to determine the optimal working dilution for their specific experimental conditions.

What are the recommended storage conditions for SPAC3H1.10 antibody?

Proper storage is critical for maintaining antibody activity and specificity. Although specific storage information for SPAC3H1.10 antibody is not detailed in the search results, research-grade antibodies generally require the following storage conditions:

Storage ParameterRecommendationNotes
Temperature-20°C (long-term)Avoid repeated freeze-thaw cycles
Aliquoting10-50μL portionsReduce freeze-thaw degradation
BufferPBS with preservativesTypically includes glycerol and/or sodium azide
Working solution2-8°C (short-term)Use within 1-2 weeks

Following these general protocols will help preserve antibody function and extend its useful research life. Researchers should always verify specific storage requirements provided by the manufacturer .

How should appropriate controls be designed when using SPAC3H1.10 antibody?

Designing robust controls is essential for reliable interpretation of results when using research antibodies. For SPAC3H1.10 antibody, researchers should implement:

  • Positive controls: Samples known to express the target protein (e.g., wild-type S. pombe strains)

  • Negative controls: Samples lacking target expression (e.g., knockout strains or non-expressing cell types)

  • Isotype controls: Using matched isotype immunoglobulins to assess non-specific binding

  • Secondary antibody-only controls: To evaluate background signal

Additionally, researchers should consider including comparative control experiments with different antibody concentrations to establish the dynamic range of detection and determine the optimal antibody concentration that maximizes specific signal while minimizing background .

What cross-reactivity considerations should be addressed when working with SPAC3H1.10 antibody?

When using SPAC3H1.10 antibody, researchers must consider potential cross-reactivity with homologous proteins. This is particularly important when studying conserved proteins across different yeast species or when extending research to mammalian systems.

To address cross-reactivity concerns:

  • Perform sequence alignment analyses to identify potential cross-reactive targets

  • Validate specificity through Western blotting in multiple relevant species

  • Consider epitope mapping to understand the precise binding region

  • Implement competitive binding assays with recombinant proteins to confirm specificity

Recent advances in computational approaches for antibody specificity prediction can help researchers anticipate potential cross-reactivity issues. Models that identify different binding modes associated with particular ligands can provide valuable insights into antibody selectivity profiles .

How can SPAC3H1.10 antibody be incorporated into functional genomics studies?

SPAC3H1.10 antibody can serve as a powerful tool in functional genomics research through several sophisticated applications:

  • Chromatin Immunoprecipitation (ChIP): For proteins with DNA-binding properties, ChIP assays can map genome-wide binding patterns

  • Co-Immunoprecipitation (Co-IP): To identify protein interaction partners

  • Proximity Ligation Assays (PLA): For detecting protein-protein interactions in situ with spatial resolution

  • FACS-based approaches: For quantifying protein expression at the single-cell level

These techniques extend beyond simple protein detection to provide functional insights into protein networks and cellular pathways. When designing such experiments, researchers should optimize antibody concentration, incubation conditions, and washing stringency to maximize specific interactions while minimizing background .

What methodological approaches can improve SPAC3H1.10 antibody specificity in challenging experimental contexts?

Enhancing antibody specificity is critical for obtaining reliable results, particularly in complex experimental systems. Advanced methodological approaches include:

  • Epitope retrieval optimization: Testing multiple buffer systems and incubation conditions

  • Signal amplification techniques: Using tyramide signal amplification or other enhancement methods

  • Sequential immunolabeling: For multi-target detection with minimal cross-reactivity

  • Absorption controls: Pre-incubating antibody with purified antigen to confirm specificity

Recent research in antibody engineering has demonstrated that computational approaches can be employed to design antibodies with customized specificity profiles. These approaches involve identifying distinct binding modes for different epitopes and optimizing amino acid sequences to achieve the desired binding characteristics .

What are the common challenges when using SPAC3H1.10 antibody in immunoprecipitation studies?

Immunoprecipitation (IP) with SPAC3H1.10 antibody may encounter several challenges that require methodological solutions:

ChallengePotential CauseSolution Approach
Poor IP efficiencyInsufficient antibody bindingOptimize antibody:bead ratio and incubation time
High backgroundNon-specific bindingIncrease washing stringency; use blocking agents
Antigen degradationProtease activityAdd protease inhibitors; reduce processing time
Target not detectedEpitope masking by fixationTest alternative fixation protocols
Inconsistent resultsAntibody batch variationValidate each lot; consider monoclonal alternatives

When optimizing IP protocols, researchers should conduct systematic parameter testing, varying buffer compositions, incubation temperatures, and antibody concentrations to determine optimal conditions for their specific experimental system .

How can researchers validate SPAC3H1.10 antibody specificity for their specific experimental system?

Rigorous validation of antibody specificity is essential for ensuring research reproducibility. For SPAC3H1.10 antibody, researchers should implement a multi-faceted validation approach:

  • Genetic validation: Test antibody reactivity in wild-type versus gene knockout or knockdown systems

  • Biochemical validation: Perform Western blotting to confirm single-band specificity at the expected molecular weight

  • Peptide competition: Demonstrate signal reduction when pre-incubated with immunizing peptide

  • Orthogonal detection: Compare results with alternative antibodies targeting the same protein

  • Mass spectrometry validation: Confirm identity of immunoprecipitated proteins

Recent developments in antibody validation include high-throughput approaches that test reactivity across diverse tissue and cell types, providing comprehensive specificity profiles. These approaches are particularly valuable for antibodies used in multiple experimental contexts or across different species .

How should quantitative data from SPAC3H1.10 antibody experiments be normalized for comparative studies?

Proper normalization is essential for meaningful quantitative comparisons across different experimental conditions:

  • Western blot normalization: Normalize to appropriate loading controls (e.g., housekeeping proteins)

  • Immunofluorescence quantification: Use nuclear counterstains or other cellular markers for cell-by-cell normalization

  • Multi-parameter normalization: Consider cell cycle stage, cell size, or other relevant biological variables

  • Batch effect correction: Implement statistical approaches to account for experiment-to-experiment variation

What approaches can resolve contradictory results between SPAC3H1.10 antibody-based assays and other experimental methods?

When faced with discrepancies between antibody-based results and other methodologies, researchers should implement a systematic resolution strategy:

  • Technical verification: Confirm antibody functionality with positive controls

  • Method comparison: Evaluate limitations of each technique (sensitivity, specificity, dynamic range)

  • Epitope accessibility analysis: Determine if protein conformation or modifications affect detection

  • Orthogonal confirmation: Deploy alternative detection methods (e.g., mass spectrometry, CRISPR-based tagging)

  • Multi-antibody approach: Test multiple antibodies recognizing different epitopes of the same protein

Scientific literature suggests that combining biophysics-informed modeling with extensive experimental validation provides a powerful approach for resolving discrepancies in antibody-based research. This integrated approach helps researchers distinguish between genuine biological findings and technical artifacts .

How can SPAC3H1.10 antibody be incorporated into single-cell analysis workflows?

SPAC3H1.10 antibody can be adapted for cutting-edge single-cell applications through several methodological approaches:

  • Single-cell Western blotting: For protein quantification at the individual cell level

  • Mass cytometry (CyTOF): Using metal-conjugated antibodies for multi-parameter single-cell analysis

  • Microfluidic antibody capture: For high-throughput single-cell protein profiling

  • In situ PLA: For visualizing protein interactions within individual cells

These advanced applications require stringent validation of antibody specificity and careful optimization of signal-to-noise ratios. Researchers should consider pilot studies to establish detection thresholds and dynamic ranges before proceeding to full-scale experiments .

What considerations are important when using SPAC3H1.10 antibody in combination with other antibodies for multiplex detection?

Multiplex immunodetection presents unique challenges that require careful experimental design:

  • Antibody compatibility: Select antibodies raised in different host species to avoid secondary antibody cross-reactivity

  • Spectral separation: Choose fluorophores with minimal spectral overlap for immunofluorescence

  • Sequential staining protocols: Implement ordered staining when using antibodies from the same species

  • Multiplexing controls: Include single-stain controls to establish signal specificity

  • Cross-blocking assessment: Determine if binding of one antibody affects epitope availability for others

Recent developments in antibody engineering have enabled the design of antibodies with custom specificity profiles, allowing researchers to generate reagents with either highly specific binding to individual targets or controlled cross-reactivity for detecting multiple related proteins. These approaches are particularly valuable for multiplex detection systems .

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