At5g47260 Antibody

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In Stock

Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
At5g47260 antibody; MQL5.12Probable disease resistance protein At5g47260 antibody
Target Names
At5g47260
Uniprot No.

Target Background

Function
Potential disease resistance protein.
Database Links

KEGG: ath:AT5G47260

STRING: 3702.AT5G47260.1

UniGene: At.55416

Protein Families
Disease resistance NB-LRR family

Q&A

What methods are most effective for validating the specificity of At5g47260 antibody?

Antibody specificity validation requires a multi-pronged approach to prevent unspecific binding that leads to misleading results. For At5g47260 antibody, implement a comprehensive validation strategy that includes:

  • Genetic validation using RNA interference or knockout models to demonstrate reduced signal

  • Immunoprecipitation followed by mass spectrometry (IP-MS) to identify all proteins pulled down by the antibody

  • Western blot analysis with appropriate positive and negative controls

  • Independent antibody approach comparing results from different antibody clones targeting At5g47260

  • Cross-reactivity testing against proteins with similar sequence motifs
    Recent studies have demonstrated that rigorous validation is essential, as even well-established antibodies can exhibit unexpected cross-reactivity. For example, the anti-glucocorticoid receptor antibody clone 5E4 was found to predominantly target AMPD2 and TRIM28 rather than its intended target, highlighting the importance of validation beyond standard methods .

How can I distinguish between specific binding and cross-reactivity when using At5g47260 antibody?

Differentiating specific binding from cross-reactivity requires systematic experimentation:

  • Perform epitope blocking experiments by pre-incubating the antibody with its immunizing peptide; specific signals should be reduced while cross-reactive signals may remain

  • Use western blot analysis to confirm that proteins enriched in immunoprecipitation experiments are detected by the antibody

  • Exclude interference from protein interactors by performing parallel immunoprecipitations with antibodies targeting different epitopes

  • Test multiple antibody batches to rule out clone contamination
    In studies examining antibody specificity, researchers found that peptide pre-incubation resulted in decreased abundance of cross-reactive proteins in pull-down samples, while target proteins were only slightly reduced . This approach helps identify true cross-reactivity versus co-immunoprecipitation of interacting proteins.

What control experiments are essential when working with At5g47260 antibody?

Control experiments are critical for interpreting antibody-based results correctly:

  • Negative controls using samples from knockout/knockdown models

  • Isotype controls using irrelevant antibodies of the same isotype

  • Secondary antibody-only controls to assess background

  • Peptide competition assays to verify epitope specificity

  • Cross-validation with orthogonal detection methods not relying on antibodies
    Control experiments should be chosen based on the specific application. For example, when performing surface staining, researchers should verify successful blocking by adding excess unconjugated antibody . Different control strategies may be required for distinct experimental approaches such as western blotting versus immunofluorescence.

What factors most significantly affect At5g47260 antibody performance in western blotting?

Western blot performance with At5g47260 antibody can be affected by multiple variables:

  • Sample preparation: Different extraction buffers may influence epitope accessibility

  • Blocking conditions: Optimize blocking agent (BSA vs. milk) and concentration

  • Antibody dilution: Determine optimal concentration through titration experiments

  • Incubation time and temperature: These parameters affect binding kinetics

  • Washing stringency: Adjust salt concentration and detergent levels

  • Detection method: Compare sensitivity of chemiluminescence vs. fluorescence
    Research has shown that even established antibodies can produce different results under varying experimental conditions, highlighting the importance of optimization and standardization of protocols .

How should experimental designs account for heterogeneity in antibody responses?

Experimental designs must address the inherent variability in antibody performance:

Variability SourceMitigation StrategyImplementation
Lot-to-lot variabilityUse single lot for complete studyDocument lot number and validate each new lot
Sample preparationStandardize extraction protocolsDevelop SOPs for consistent preparation
Tissue/cell type differencesInclude tissue-specific controlsValidate antibody in each experimental system
Assay platform differencesCross-validate across platformsEstablish correlation factors between methods
Studies have demonstrated substantial heterogeneity in antibody responses across different assays and between individuals . For instance, antibody measurements can vary significantly depending on the detection platform and target antigen, with Spearman correlations ranging between 0.55 and 0.96 between different assays .

What approaches can optimize immunoprecipitation protocols with At5g47260 antibody?

Optimizing immunoprecipitation requires systematic testing of conditions:

  • Buffer composition: Test different salt concentrations and detergents

  • Antibody-to-sample ratio: Determine optimal amounts through titration

  • Pre-clearing strategy: Reduce non-specific binding to beads

  • Incubation conditions: Optimize temperature and duration

  • Washing stringency: Balance between removing contaminants and preserving interactions

  • Elution method: Choose based on downstream applications
    When optimizing immunoprecipitation, researchers have found that identifying the predominant targets through mass spectrometry is crucial for understanding antibody specificity. For example, IP-MS analysis revealed unexpected targets of the anti-glucocorticoid receptor antibody clone 5E4, demonstrating the value of this approach .

How can I address inconsistent results between experiments using At5g47260 antibody?

When facing inconsistent results:

  • Document all experimental variables systematically

  • Test antibody performance across different sample preparation methods

  • Evaluate storage conditions and freeze-thaw cycles of both antibody and samples

  • Consider potential post-translational modifications affecting epitope accessibility

  • Assess experimental conditions (temperature, incubation time, buffer composition)

  • Verify antibody specificity with controls in each experimental context
    Research indicates that even validated antibodies can perform differently across experimental conditions. Multiple factors including age, disease severity, and time since antigen exposure can influence antibody responses and detection .

What approaches can resolve contradictory data between different detection methods?

When different methods yield contradictory results:

  • Evaluate each method's limitations and strengths

  • Consider epitope accessibility differences between methods (native vs. denatured conditions)

  • Validate with orthogonal techniques not relying on antibodies

  • Assess the influence of sample preparation on epitope preservation

  • Consider the protein's context (complexes, modifications, localization)

  • Use multiple antibodies targeting different epitopes of At5g47260
    Studies have shown that binding assays measuring responses to the same antigenic target can exhibit different longitudinal trajectories, with some showing decreases over time and others showing increases or stable values . Understanding these method-specific differences is crucial for accurate data interpretation.

How should I interpret apparent non-specific binding with At5g47260 antibody?

Non-specific binding may have several causes that require distinct approaches:

  • Signal interference from interacting proteins (co-immunoprecipitation)

  • Contamination with a different antibody clone

  • Cross-reactivity due to epitope homology
    To distinguish between these possibilities:

  • Perform immunoprecipitation with antibodies targeting different epitopes

  • Test different antibody batches

  • Conduct peptide pre-incubation experiments

  • Analyze protein sequence homology for potential cross-reactive targets
    Research has identified three major causes of incorrect antibody binding: signal interference from bait-interacting proteins, contamination with a different clone, and cross-reactivity . Systematic experimentation can help determine which mechanism is responsible for observed non-specific binding.

How can machine learning approaches improve At5g47260 antibody applications?

Machine learning can enhance antibody applications through:

  • Prediction of antibody-antigen binding affinities

  • Identification of optimal experimental conditions

  • Analysis of binding patterns across multiple antigens

  • Improvement of out-of-distribution prediction for novel variants

  • Reduction of experimental costs through active learning approaches
    Recent research has developed active learning strategies for antibody-antigen binding prediction that significantly outperformed random data labeling approaches. The best algorithms reduced the number of required antigen mutant variants by up to 35% and accelerated the learning process by 28 steps compared to random baselines .

What methods can determine if At5g47260 antibody recognizes post-translationally modified forms?

To assess recognition of post-translationally modified forms:

  • Mass spectrometry analysis of immunoprecipitated proteins to identify modifications

  • Parallel experiments with modification-specific antibodies

  • Treatment with enzymes that remove specific modifications

  • Two-dimensional gel electrophoresis to separate protein isoforms

  • Comparison with recombinant proteins lacking specific modifications
    These approaches help determine if observed heterogeneity in antibody binding reflects recognition of different post-translationally modified forms of the target protein, which is crucial for accurate interpretation of experimental results.

How can I develop a dual-antibody strategy to enhance detection specificity for At5g47260?

A dual-antibody approach can significantly improve specificity:

  • Select antibodies recognizing different epitopes of At5g47260

  • Develop a sandwich ELISA or proximity ligation assay requiring both antibodies to bind

  • Use one antibody against a conserved region and another against a variable region

  • Implement a two-step capture and detection strategy

  • Validate the dual approach against single antibody methods
    Research has demonstrated that pairing antibodies can enhance specificity and overcome limitations of single antibody approaches. For example, researchers discovered a method to use two antibodies against SARS-CoV-2, with one serving as an anchor by attaching to a conserved viral region while another inhibits viral cell infection .

How can antibody engineering improve At5g47260 detection specificity?

Antibody engineering approaches offer several avenues for improving specificity:

  • Site-directed mutagenesis to enhance binding affinity and specificity

  • Development of recombinant antibody fragments with improved tissue penetration

  • Creation of bispecific antibodies requiring dual epitope recognition

  • Humanization of antibodies for in vivo applications

  • Surface display technologies for rapidly screening improved variants
    These engineering approaches can address limitations of conventional antibodies and potentially resolve issues of cross-reactivity that have been documented in antibody research .

What strategies can improve reproducibility across different lots of At5g47260 antibody?

Ensuring reproducibility across antibody lots requires:

  • Comprehensive characterization of each lot (affinity, specificity, epitope mapping)

  • Development of reference standards and quality control metrics

  • Implementation of functional validation assays

  • Detailed documentation of production methods

  • Creation of pooled antibody preparations to reduce lot-specific biases
    Research has highlighted that antibody validation using a set of seemingly accurate controls does not exclude the possibility of cross-reactivity . Therefore, more rigorous verification methods are needed to improve antibody quality and reproducibility across lots.

How do different detection platforms affect At5g47260 antibody performance characteristics?

Different detection platforms can significantly impact antibody performance:

  • Platform-specific sensitivity and dynamic range differences

  • Variation in epitope accessibility between native and denatured conditions

  • Different signal-to-noise ratios across platforms

  • Platform-specific matrix effects

  • Varying durability of measured responses over time
    Studies have documented substantial heterogeneity in measured antibody responses across different assays, with some showing clear decreases over time, others showing increases, and some remaining stable . Platform selection should therefore be based on the specific research question and required performance characteristics.

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