At3g17530 Antibody

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Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
At3g17530 antibody; MKP6.8 antibody; F-box/kelch-repeat protein At3g17530 antibody
Target Names
At3g17530
Uniprot No.

Q&A

What is the At3g17530 gene and why is it important for antibody research?

At3g17530 is a gene locus in Arabidopsis thaliana that encodes specific proteins of interest to plant molecular biologists. Antibodies targeting this gene product are valuable tools for studying protein expression, localization, and function in plant cellular processes. The development of specific antibodies against At3g17530 allows researchers to track expression patterns across different tissues, developmental stages, and in response to various environmental stimuli. These antibodies facilitate precise immunolocalization studies, protein quantification through western blotting, and investigation of protein-protein interactions through co-immunoprecipitation experiments .

What expression systems are suitable for producing At3g17530 antibodies?

While traditional antibody production often relies on mammalian cell cultures, plant-based expression systems offer several advantages for producing plant protein antibodies. Transgenic Arabidopsis plants can be engineered to express antibodies against specific targets, including plant proteins like At3g17530 . The plant-based expression system provides proper folding and post-translational modifications that may be critical for antibody functionality. Transformation rates of approximately 1.8-2.1% can be achieved using Agrobacterium-mediated floral-dip transformations, yielding transgenic seedlings that can be selected on kanamycin-containing media . Plant-derived antibodies can be purified from biomass (typically 300g fresh weight) to obtain significant quantities (750μg to 3,400μg) of functional antibody .

How can I optimize antibody binding specificity for At3g17530 proteins?

Optimizing binding specificity for At3g17530 antibodies requires careful consideration of epitope selection and validation protocols. Consider these methodological approaches:

  • Epitope selection: Choose unique regions of the At3g17530 protein that have minimal homology with other Arabidopsis proteins

  • Antibody validation: Test against both wild-type plants and At3g17530 knockout mutants

  • Cross-reactivity testing: Evaluate potential binding to related protein family members

  • Binding condition optimization: Systematically test different blocking agents, antibody concentrations, and incubation conditions

Immunocytochemical analysis (ICC) should be performed to confirm binding patterns, as plant-derived antibodies may show different binding patterns compared to mammalian-derived equivalents. The target localization (membrane vs. intracellular) should be carefully documented .

How should I design experiments to validate At3g17530 antibody specificity?

Designing robust validation experiments for At3g17530 antibodies requires multiple complementary approaches:

Validation MethodTechnical ApproachExpected Outcome for Specific Antibody
Western blottingComparison of wild-type vs. knockout/knockdown linesSingle band at expected MW in wild-type; absent/reduced in mutant
ImmunoprecipitationPull-down followed by mass spectrometryEnrichment of At3g17530 protein in sample
ImmunohistochemistryComparison across tissue types with known expression patternsStaining pattern matches transcript expression data
Peptide competitionPre-incubation with immunizing peptideBlocked or significantly reduced signal
Pre-immune serum controlParallel tests with pre-immune serumNo specific binding with pre-immune serum

A comprehensive validation approach combines multiple techniques, as ELISA results alone may not fully predict antibody performance in applications like immunohistochemistry. Dose-dependent binding assays should be performed with protein concentrations starting from 250ng, as significant effects may not be observed below this threshold .

What are the key considerations for using At3g17530 antibodies in protein localization studies?

When using At3g17530 antibodies for protein localization studies, researchers should consider:

  • Fixation methods: Different fixation protocols can affect epitope accessibility and antibody binding. Compare paraformaldehyde, glutaraldehyde, and methanol fixation.

  • Permeabilization optimization: Plant cell walls require specific permeabilization approaches—test different detergents (Triton X-100, Tween-20) and concentrations.

  • Blocking strategy: Plant tissues may require specialized blocking agents to reduce background. BSA, non-fat dry milk, and normal serum from the secondary antibody host species should be evaluated.

  • Controls: Always include:

    • Negative controls (no primary antibody)

    • Pre-immune serum controls

    • Transgenic plants with altered At3g17530 expression

    • Competitive blocking with immunizing peptide

  • Co-localization markers: Include well-established organelle markers to confirm suspected subcellular localization .

The subcellular localization pattern may provide important insights into protein function. For example, some antibodies bind primarily to cell surface membranes, while others may bind throughout cells, indicating different functional domains or processing of the target protein .

How can At3g17530 antibodies be modified to enhance their sensitivity and specificity?

Several advanced approaches can enhance At3g17530 antibody performance:

  • ER retention modification: Adding an endoplasmic reticulum retrieval motif (ERRM) such as KDEL to the C-terminus of the heavy chain can significantly increase antibody expression and accumulation in plant cells. Studies have shown that KDEL-tagged antibodies can have approximately 4-5 times higher expression levels compared to non-tagged versions .

  • Glycoengineering: N-glycosylation affects antibody function through Fc receptor binding. While human IgG subclasses show diverse inherent effector functions, the impact of different Fc glycoforms appears consistent across subclasses. Consider that:

    • N-glycosylation of the conserved site in the CH2 domain is required for antibody binding to Fc receptors

    • Specific glycoform composition can alter antibody activities by more than an order of magnitude

    • Afucosylated glycans enhance FcγRIII binding in IgG3

  • Subclass selection: Different antibody subclasses have distinct functional properties. IgG3, for example, has high affinity for activating Fcγ receptors, effective complement fixation, and a long hinge better suited for low abundance targets .

  • Hinge engineering: The hinge region affects antibody flexibility and target accessibility. IgG3's extended hinge architecture offers both Fab-Fab and Fab-Fc distances not observed in other subclasses, potentially improving binding to spatially restricted epitopes .

What are the methodological approaches for quantifying At3g17530 protein expression using antibodies?

Quantitative analysis of At3g17530 protein expression requires careful methodological considerations:

MethodKey Technical ConsiderationsQuantification Approach
Western BlotSample normalization, standard curve preparationDensitometry with reference standards
ELISAOptimize sandwich ELISA configurationsStandard curve with purified protein
Flow CytometrySingle-cell suspensions from plant tissueMean fluorescence intensity
ImmunohistochemistryStandardized staining protocolsDigital image analysis
Protein Mass SpectrometryAbsolute quantification using labeled standardsIsotope-labeled reference peptides

For sandwich ELISA specifically, binding affinity comparisons between different antibody sources (e.g., plant-derived vs. mammalian-derived) can provide insights into relative performance. Plant-derived antibodies have demonstrated binding affinity to target antigens comparable to or sometimes exceeding mammalian-derived antibodies in some studies .

How can At3g17530 antibodies be used to study protein-protein interactions?

At3g17530 antibodies enable sophisticated protein-protein interaction studies through several approaches:

  • Co-immunoprecipitation (Co-IP): At3g17530 antibodies can pull down the target protein along with its interaction partners. The precipitated complex can be analyzed by mass spectrometry to identify novel interactors.

  • Proximity-based labeling: Antibodies can be coupled with enzymes like biotin ligase (BioID) or peroxidase (APEX) to label proteins in close proximity to At3g17530.

  • Förster Resonance Energy Transfer (FRET): Fluorescently labeled antibodies against At3g17530 and suspected interaction partners can be used to detect molecular proximity through energy transfer.

  • Protein complementation assays: Split reporter systems where antibody fragments fused to complementary reporter fragments can confirm interactions when brought into proximity.

  • Chromatin immunoprecipitation (ChIP): If At3g17530 functions in transcriptional regulation, antibodies can be used to identify DNA binding sites.

These methods should include appropriate controls to distinguish specific from non-specific interactions, including IgG controls, pre-immune serum, and validation in knockout/knockdown lines .

What are common challenges when using At3g17530 antibodies and how can they be addressed?

Researchers commonly encounter several challenges when working with plant protein antibodies:

  • High background signal:

    • Solution: Optimize blocking (try 5% BSA or 5% milk in TBS-T)

    • Increase washing steps and duration

    • Pre-absorb antibody with plant extract from knockout mutants

  • Weak or no signal:

    • Solution: Test epitope accessibility with different extraction/fixation methods

    • Increase antibody concentration incrementally

    • Try longer incubation times or different detection methods

  • Multiple bands in western blots:

    • Solution: Validate with knockout controls

    • Test if bands represent post-translational modifications, splice variants, or degradation products

    • Use more stringent washing conditions

  • Inconsistent results between experiments:

    • Solution: Standardize protocols rigorously

    • Prepare larger antibody batches to reduce lot variation

    • Include positive controls in each experiment

  • Limited antibody functionality across applications:

    • Solution: Different applications may require different antibody clones

    • Consider raising antibodies against multiple epitopes

    • Test monoclonal vs. polyclonal antibodies for specific applications

Time-dependent experiments should also be considered, as some antibody effects may show temporal dynamics, with maximum effects appearing at specific time points (e.g., 6 hours post-treatment) followed by diminishing effects .

How should I interpret contradictory results between antibody-based detection and transcript analysis for At3g17530?

Discrepancies between protein levels (detected by antibodies) and transcript abundance (measured by RT-PCR or RNA-seq) for At3g17530 are not uncommon and require careful interpretation:

  • Post-transcriptional regulation: Investigate miRNA-mediated regulation, RNA stability factors, or RNA-binding proteins that might affect the At3g17530 transcript.

  • Translational control: Analyze the 5' and 3' UTRs of At3g17530 for regulatory elements that might affect translation efficiency.

  • Protein stability: Examine if At3g17530 protein undergoes regulated degradation through proteasomal or autophagic pathways.

  • Protein modification: Investigate if post-translational modifications affect antibody recognition but not protein function.

  • Methodological bias: Assess if antibody accessibility issues in certain tissues or conditions could lead to false negatives.

A multi-technique approach is recommended to resolve such discrepancies, including mass spectrometry-based proteomics to provide independent verification of protein abundance. These investigations can reveal important regulatory mechanisms governing At3g17530 expression and function .

What statistical approaches are appropriate for analyzing quantitative data from At3g17530 antibody experiments?

Proper statistical analysis of antibody-based quantitative data requires careful consideration:

Data TypeRecommended Statistical ApproachKey Considerations
Protein quantification (Western/ELISA)ANOVA with post-hoc testsTest for normality; consider log transformation
Localization studies (microscopy)Chi-square for pattern distributionBlind scoring by multiple observers
Time-course experimentsRepeated measures ANOVAAccount for temporal correlation
Dose-response studiesNon-linear regressionDetermine EC50/IC50 values
Multiple experimental runsMixed-effects modelsAccount for batch variation

For dose-dependent experiments, statistical significance may not be observed below certain concentration thresholds (e.g., 250ng for some antibodies). Similarly, time-dependent effects should be analyzed using appropriate time-series methods, as effects may peak at specific time points (like the 6-hour mark) and then diminish .

Sample size calculation should be performed before experiments to ensure adequate statistical power. For western blot quantification, a minimum of 3-5 biological replicates is typically recommended, while more complex experiments may require greater replication to detect subtle effects with confidence .

How might emerging antibody technologies enhance At3g17530 research?

Several cutting-edge technologies hold promise for advancing At3g17530 antibody research:

  • Single-domain antibodies (nanobodies): Derived from camelid antibodies, these smaller antibody fragments may access epitopes in At3g17530 that conventional antibodies cannot reach. Their smaller size may also improve tissue penetration in intact plant specimens.

  • CRISPR-based epitope tagging: Precise genomic integration of epitope tags into the endogenous At3g17530 locus can enable antibody detection without raising target-specific antibodies.

  • Intrabodies: Antibodies specifically designed to function within cells could be expressed in specific subcellular compartments to track or modify At3g17530 function in vivo.

  • Allosteric antibodies: Engineering antibodies that modify protein function upon binding could provide new tools to probe At3g17530 activity.

  • Plant-optimized glycosylation: Modifying plant expression systems to produce antibodies with specific glycoforms could enhance function for particular applications.

The structural allotypes that vary in the number of exon repeats in the core hinge region also represent an interesting area for future exploration, as these variations might affect antibody flexibility and function in specific research applications .

What are the potential applications of At3g17530 antibodies in understanding plant stress responses?

At3g17530 antibodies can provide valuable insights into plant stress responses through several research approaches:

  • Temporal and spatial expression analysis: Using antibodies to track At3g17530 protein expression changes across different tissues and time points following exposure to biotic and abiotic stressors.

  • Post-translational modification profiling: Developing modification-specific antibodies to detect changes in phosphorylation, ubiquitination, or other modifications of At3g17530 in response to stress.

  • Protein complex dynamics: Applying antibodies in co-immunoprecipitation experiments to identify stress-induced changes in protein-protein interactions involving At3g17530.

  • Chromatin association: If At3g17530 has DNA-binding properties, ChIP-seq using specific antibodies could reveal stress-induced changes in genomic binding sites.

  • Subcellular relocalization: Tracking potential stress-induced changes in At3g17530 subcellular localization using immunofluorescence microscopy.

Research has shown that the expression of recombinant proteins, including antibodies, can itself affect plant stress responses. For example, studies with KDEL-tagged antibodies indicated effects on plant stress response when expressed in transgenic plants. These findings suggest complex interactions between heterologous protein expression and endogenous stress pathways .

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