At1g61688 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
Made-to-order (14-16 weeks)
Synonyms
At1g61688 antibody; T13M11.4 antibody; Defensin-like protein 106 antibody
Target Names
At1g61688
Uniprot No.

Target Background

Database Links

KEGG: ath:AT1G61688

STRING: 3702.AT1G61688.1

UniGene: At.64152

Protein Families
DEFL family
Subcellular Location
Secreted.

Q&A

What is the At1g61688 protein and why are antibodies against it important in plant research?

At1g61688 is a gene locus in Arabidopsis thaliana that encodes a protein involved in plant cellular processes. Antibodies targeting this protein are essential tools for investigating its expression, localization, and function in plant development and stress responses. These antibodies enable detection of the target protein through various immunological techniques including Western blotting, immunoprecipitation, and immunofluorescence microscopy, allowing researchers to understand the protein's role in plant biology .

How do I determine the optimal concentration of At1g61688 antibody for my experiment?

Determining the optimal antibody concentration requires a systematic titration experiment. The goal is to identify the concentration that provides the highest signal-to-noise ratio. Begin by testing a range of antibody concentrations (typically from 0.1 μg/ml to 10 μg/ml) against your sample. Plot the median fluorescent intensity against antibody volume to calculate binding kinetics. The optimal concentration typically falls where you achieve 80% of maximum signal while maintaining background at minimum levels. Using too little antibody results in weak signals, while excess antibody increases background noise and non-specific binding .

What controls should I include when using At1g61688 antibodies?

Proper controls are critical for validating antibody specificity and experimental results. Include:

  • Positive control: Sample known to express At1g61688 protein

  • Negative control: Sample lacking At1g61688 expression or knockout/knockdown lines

  • Secondary antibody-only control: To assess non-specific binding

  • Isotype control: Using an irrelevant antibody of the same isotype

  • Blocking peptide control: Pre-incubating the antibody with the immunizing peptide to demonstrate binding specificity

These controls help distinguish true positive signals from artifacts and demonstrate antibody specificity for the target protein .

What antibody subclasses are most effective for plant protein detection?

The effectiveness of antibody subclasses depends on the application and detection system. For plant proteins like At1g61688:

  • IgG1 and IgG2a typically provide strong signals in immunoblotting and immunoprecipitation

  • IgG2b may offer better specificity in certain applications

  • IgG3 subclass antibodies are less commonly used but may have benefits in specific experimental designs

The choice should be based on preliminary testing with your specific plant tissue samples and experimental conditions. Different subclasses exhibit varying affinities for Fc receptors and complement, which can affect performance in different assay formats .

How should I prepare plant samples for optimal At1g61688 antibody detection?

Sample preparation significantly impacts antibody detection quality. For optimal results with At1g61688 antibody:

  • Harvest plant tissue at appropriate developmental stages when the target protein is expressed

  • Use extraction buffers containing appropriate detergents (typically 0.1-1% Triton X-100 or NP-40) to solubilize membrane-associated proteins

  • Include protease inhibitors to prevent protein degradation

  • Consider phosphatase inhibitors if investigating phosphorylation status

  • Optimize protein extraction conditions based on subcellular localization (cytosolic, nuclear, membrane-bound, etc.)

  • Ensure consistent sample loading for comparative analyses

Different plant tissues may require modified extraction protocols to overcome interference from cell wall components, phenolic compounds, and secondary metabolites .

What are the best methods for validating At1g61688 antibody specificity in plant tissues?

Validating antibody specificity is crucial for reliable results. For At1g61688 antibodies:

  • Genetic validation: Test antibody reactivity in knockout/knockdown lines lacking At1g61688

  • Recombinant protein validation: Compare reactivity with purified recombinant At1g61688 protein

  • Peptide competition assays: Pre-incubate antibody with immunizing peptide to block specific binding

  • Multiple antibody validation: Use antibodies targeting different epitopes of At1g61688

  • Mass spectrometry confirmation: Identify proteins in immunoprecipitated complexes

  • Cross-reactivity assessment: Test against closely related proteins or in non-host species

Documentation of these validation steps is essential for publication and ensuring experimental reproducibility .

How can I optimize At1g61688 antibody performance for challenging plant tissues or stress conditions?

Optimizing antibody performance for difficult tissues or experimental conditions requires methodical adjustment:

  • Fixation optimization: Test different fixatives (paraformaldehyde, glutaraldehyde) and durations for immunohistochemistry

  • Antigen retrieval: Apply heat-induced or enzymatic antigen retrieval methods to expose masked epitopes

  • Blocking modifications: Test different blocking reagents (BSA, casein, normal serum) and concentrations

  • Signal amplification: Implement tyramide signal amplification or polymer-based detection systems

  • Detergent adjustments: Optimize membrane permeabilization conditions

  • Incubation parameters: Test different temperatures, durations, and antibody concentrations

For stress conditions, consider how cellular changes might affect protein localization, expression levels, and extraction efficiency. Additional extraction steps may be needed to overcome increased phenolic compounds or changed membrane structures under stress conditions .

What are the considerations for using At1g61688 antibodies in co-immunoprecipitation studies?

Co-immunoprecipitation (Co-IP) with At1g61688 antibodies presents unique challenges in plant systems:

  • Antibody orientation: Consider whether to immobilize the antibody or use it free in solution

  • Crosslinking considerations: Determine if chemical crosslinking is needed to capture transient interactions

  • Buffer optimization: Adjust salt concentration, detergent type/concentration, and pH to maintain interactions

  • Pre-clearing step: Implement thorough pre-clearing to reduce non-specific binding

  • Elution conditions: Optimize to recover complexes without antibody contamination

  • Negative controls: Include IgG controls and samples lacking At1g61688 expression

The binding affinity and specificity of the antibody are critical factors in Co-IP success. Consider using monoclonal antibodies for higher specificity or polyclonal antibodies for better capture efficiency depending on your experimental goals .

How can I quantitatively analyze At1g61688 expression levels across different experimental conditions?

Quantitative analysis of At1g61688 requires rigorous methodology:

  • Standard curve generation: Create a calibration curve using recombinant At1g61688 protein

  • Normalization strategy: Use constitutively expressed proteins (e.g., α-tubulin, actin) as loading controls

  • Statistical approach: Apply appropriate statistical tests based on sample distribution

  • Signal linearity validation: Ensure signal intensity correlates linearly with protein concentration

  • Technical replicates: Include multiple technical replicates to account for assay variability

  • Biological replicates: Analyze independent biological samples to assess biological variation

When comparing across different conditions (e.g., developmental stages, stress treatments), ensure consistent sample preparation and detection conditions throughout the experiment. Consider digital image analysis software for precise quantification of band intensities in immunoblots or fluorescence intensity in microscopy images .

What are the relative advantages of different immunodetection methods for At1g61688?

Different detection methods offer distinct advantages depending on research questions:

MethodAdvantagesLimitationsBest Applications
Western BlottingProvides size information, semi-quantitativeLoses spatial information, requires denaturationProtein expression levels, protein processing
ImmunofluorescencePreserves cellular localization, allows co-localization studiesLimited quantification, potential autofluorescence issuesSubcellular localization, tissue distribution
ELISAHighly quantitative, high-throughputLoses size and localization informationQuantitative expression analysis across samples
Flow CytometrySingle-cell resolution, quantitativeRequires cell suspension, plant cell challengesCell-type specific expression, protein surface exposure
ImmunoprecipitationPreserves protein interactionsPotential non-specific bindingProtein complex identification, protein interaction studies

Selection should be based on specific research objectives, available equipment, and whether quantitative, spatial, or interaction data is required .

How do monoclonal and polyclonal antibodies compare for At1g61688 detection in different applications?

The choice between monoclonal and polyclonal antibodies impacts experimental outcomes:

  • Monoclonal antibodies:

    • Provide high specificity for a single epitope

    • Offer consistent lot-to-lot reproducibility

    • May be less robust to fixation or denaturation

    • Typically better for applications requiring high specificity (flow cytometry)

  • Polyclonal antibodies:

    • Recognize multiple epitopes, potentially improving sensitivity

    • More tolerant of protein denaturation or modification

    • May show batch-to-batch variation

    • Often preferred for applications like immunoprecipitation or immunohistochemistry

For new targets like At1g61688, initial characterization with polyclonal antibodies may identify immunogenic regions, followed by monoclonal development for specific applications requiring higher specificity .

How can At1g61688 antibodies be applied in plant autophagy and stress response research?

At1g61688 antibodies can provide valuable insights into plant stress responses and autophagy mechanisms:

  • Monitor At1g61688 protein level changes during various stress conditions (drought, salt, pathogen attack)

  • Investigate potential interactions with known autophagy components (ATG proteins)

  • Assess co-localization with autophagy markers during stress response

  • Examine potential post-translational modifications under different stress conditions

  • Study protein turnover rates using cycloheximide chase experiments

  • Analyze interaction networks through co-immunoprecipitation coupled with mass spectrometry

These approaches can reveal how At1g61688 contributes to plant adaptation mechanisms and stress tolerance. Understanding its role in relation to established autophagy pathways may identify novel regulatory mechanisms specific to plants .

What considerations are important when developing multiplexed detection systems including At1g61688 antibodies?

Multiplexed detection systems allow simultaneous analysis of multiple proteins:

  • Spectral overlap management: Select fluorophores with minimal spectral overlap

  • Antibody species selection: Choose primary antibodies from different host species

  • Epitope accessibility validation: Ensure combined antibodies don't interfere with each other

  • Sequential staining protocol development: Optimize order of antibody application

  • Controls for each antibody: Include single-stain controls for each target

  • Cross-reactivity testing: Confirm absence of cross-reactivity between secondary antibodies

For plant systems specifically, consider autofluorescence management through spectral unmixing or selection of far-red fluorophores. Tissue clearing techniques may improve antibody penetration in thick plant tissues for improved multiplexed imaging .

What are the key quality control metrics for validating At1g61688 antibody experiments?

Rigorous quality control ensures reliable antibody-based results:

  • Specificity validation: Confirm single band of expected molecular weight in Western blots

  • Sensitivity assessment: Determine minimum detectable protein concentration

  • Reproducibility verification: Ensure consistent results across technical and biological replicates

  • Signal-to-noise ratio quantification: Calculate and report signal relative to background

  • Dynamic range documentation: Establish the linear range of detection

  • Batch testing: Validate new antibody lots against previous standards

  • Positive and negative control inclusion: Document appropriate controls in each experiment

Implementation of these quality control measures should be standardized within research groups to ensure data reliability and reproducibility over time .

How should researchers approach contradictory results when using At1g61688 antibodies across different experimental systems?

When faced with contradictory results:

  • Systematically evaluate methodological differences: Compare fixation methods, detection systems, and sample preparation protocols

  • Consider biological variability: Assess differences in developmental stages, growth conditions, or genetic backgrounds

  • Validate antibody performance in each system: Confirm specificity in each experimental context

  • Test multiple antibodies: Use antibodies targeting different epitopes of At1g61688

  • Implement complementary approaches: Corroborate antibody results with genetic, transcriptomic, or other protein detection methods

  • Analyze post-translational modifications: Investigate whether modifications affect antibody recognition

  • Document all experimental conditions thoroughly: Enable precise replication by other researchers

Contradictory results often reveal important biological nuances rather than experimental failures. Careful documentation and systematic investigation of variables can transform apparent contradictions into deeper insights about protein behavior under different conditions .

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