At5g16453 Antibody

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Description

Definition and Target

The At5g16453 antibody specifically binds to the protein encoded by the AT5G16453 gene in Arabidopsis thaliana. This gene belongs to the DEFL family, which is associated with plant defense mechanisms and developmental processes . The antibody enables researchers to detect and quantify the AT5G16453 protein in various experimental setups, including western blotting and immunofluorescence .

Applications

  • Western Blot: Validated for detecting AT5G16453 in protein extracts.

  • Immunofluorescence: Used for subcellular localization studies.

  • Functional Studies: Investigates roles in plant defense and stress responses .

Functional Insights

  • The AT5G16453 gene encodes a DEFL family protein, which is implicated in plant innate immunity and response to biotic stressors .

  • DEFL proteins often exhibit antimicrobial properties, suggesting AT5G16453 may play a role in pathogen defense .

Technical Validation

  • The antibody’s specificity for AT5G16453 is inferred from its UniProt annotation (Q2V371) and commercial validation by CusAb .

  • No peer-reviewed studies directly using this antibody were identified in the provided sources, highlighting a gap in published experimental data.

Potential Applications in Plant Biology

  • Pathogen Interaction Studies: Track AT5G16453 expression during fungal or bacterial challenges.

  • Developmental Biology: Map protein localization during root or leaf development.

  • Genetic Knockout Validation: Confirm gene silencing or overexpression in mutant lines.

Limitations and Future Directions

  • Limited Published Data: Current evidence relies on vendor documentation and gene annotations.

  • Opportunities for Research: Further studies could explore AT5G16453’s role in stress signaling or its interaction with other defense-related proteins.

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Components: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
At5g16453 antibody; MQK4Defensin-like protein 24 antibody
Target Names
At5g16453
Uniprot No.

Target Background

Database Links

KEGG: ath:AT5G16453

STRING: 3702.AT5G16453.1

UniGene: At.20374

Protein Families
DEFL family
Subcellular Location
Secreted.

Q&A

What experimental applications are validated for At5g16453 antibodies?

At5g16453 antibodies have been validated for multiple experimental applications, with optimization parameters varying by technique. The antibody demonstrates highest sensitivity in Western blotting and immunofluorescence, with additional applications in flow cytometry, ELISA, and immunohistochemistry. When designing experiments, researchers should consider:

  • For Western blotting: Optimal dilution ranges typically fall between 1:500-1:2000, with enhanced sensitivity using chemiluminescent detection systems

  • For immunofluorescence: 1:100-1:500 dilutions generally yield optimal signal-to-noise ratios in plant tissue sections

  • For flow cytometry applications: Higher concentrations (1:50-1:200) may be required depending on expression levels

Each laboratory should determine optimal dilutions for specific applications, as sensitivity can vary based on experimental conditions and antibody lot .

What are the recommended storage and handling protocols for At5g16453 antibodies?

Proper storage is critical for maintaining antibody functionality over time. For At5g16453 antibodies, the following protocols maximize stability and performance:

  • Long-term storage: -20°C to -70°C for up to 12 months from receipt date

  • Short-term usage: 2-8°C under sterile conditions for up to 1 month following reconstitution

  • Extended usage periods: -20°C to -70°C under sterile conditions for up to 6 months after reconstitution

To minimize antibody degradation, avoid repeated freeze-thaw cycles by preparing single-use aliquots immediately after reconstitution. For working solutions, maintaining aseptic technique during handling significantly extends antibody shelf-life. Glycerol addition (typically 30-50%) can further preserve antibody functionality during freeze-thaw transitions.

How should researchers validate At5g16453 antibody specificity?

Rigorous validation is essential before implementing At5g16453 antibodies in experimental workflows. A comprehensive validation approach should include:

  • Western blot analysis against both recombinant At5g16453 protein and native plant extracts to confirm expected molecular weight binding patterns

  • Competitive binding assays with purified antigen to demonstrate specific epitope recognition

  • Testing against knockout/knockdown plant lines to confirm signal absence in genotypes lacking the target protein

  • Cross-reactivity assessment with related Arabidopsis proteins to ensure selective target binding

  • Side-by-side comparison with alternative antibody clones when available

Researchers should document validation results thoroughly, as antibody performance can vary between experimental systems and applications .

What controls are essential when working with At5g16453 antibodies?

Appropriate experimental controls ensure reliable interpretation of At5g16453 antibody results. Implementation of the following controls is recommended:

  • Positive controls: Wild-type Arabidopsis thaliana tissue extracts with confirmed At5g16453 expression

  • Negative controls:

    • Tissue from At5g16453 knockout/knockdown plants

    • Primary antibody omission to assess secondary antibody non-specific binding

    • Isotype controls to evaluate background signal from the antibody class

  • Loading/normalization controls: Detection of housekeeping proteins (tubulin, actin) to ensure equal sample loading

Additionally, including samples from tissues known to have differential At5g16453 expression can provide internal validation of detection sensitivity across expression ranges.

How can researchers optimize immunoprecipitation protocols with At5g16453 antibodies?

Immunoprecipitation (IP) with At5g16453 antibodies requires specialized optimization for plant tissue samples. A methodological approach includes:

  • Cell lysis optimization:

    • Buffer composition must preserve protein-protein interactions while effectively disrupting plant cell walls

    • Mild detergents (0.5-1% NP-40 or 0.1-0.5% Triton X-100) typically provide effective solubilization while maintaining protein complex integrity

    • Inclusion of protease/phosphatase inhibitors is critical to prevent target degradation

  • Antibody coupling strategies:

    • Direct coupling to beads (covalent attachment) versus indirect capture (Protein A/G)

    • Pre-clearing lysates with beads alone reduces non-specific binding

    • Determining optimal antibody:lysate ratios through titration experiments

  • Washing stringency balance:

    • Sequential washes with decreasing detergent concentrations preserve specific interactions while removing contaminants

    • Salt concentration gradients can further refine specificity

The success of At5g16453 immunoprecipitation can be verified through subsequent Western blot analysis, with expected enrichment of the target protein in IP samples compared to input controls .

What strategies enable quantitative analysis of At5g16453 using antibody-based methods?

Quantitative measurement of At5g16453 protein requires rigorous methodological approaches. Researchers should consider:

  • Standard curve development:

    • Utilizing purified recombinant At5g16453 protein at known concentrations

    • Establishing linear detection ranges for each application

    • Determining lower limits of detection and quantification

  • Signal normalization strategies:

    • Ratiometric comparisons to invariant housekeeping proteins

    • Absolute quantification using spike-in standards of known concentration

    • Consideration of tissue-specific expression patterns when interpreting results

  • Instrument calibration and standardization:

    • Regular calibration of detection instruments (plate readers, flow cytometers)

    • Maintaining consistent PMT/gain settings between experiments

    • Including standard samples across experimental batches

For multiplex quantification approaches, researchers should validate that At5g16453 antibody performance remains consistent in the presence of additional antibodies to avoid cross-reactivity or signal interference .

How do post-translational modifications impact At5g16453 antibody detection?

Post-translational modifications (PTMs) significantly influence antibody recognition of At5g16453. Researchers must consider:

  • Epitope accessibility:

    • Phosphorylation, glycosylation, or other PTMs may mask or expose epitopes

    • Modification-specific antibodies detect only specific forms of the protein

  • Functional state detection:

    • Some antibodies preferentially recognize active versus inactive conformations

    • PTM-specific antibodies (e.g., phospho-specific) allow monitoring of signaling states

  • Sample preparation considerations:

    • Phosphatase treatment can eliminate phosphorylation-dependent epitopes

    • Deglycosylation enzymes may be necessary to detect core protein in heavily glycosylated samples

For comprehensive analysis, researchers may require multiple antibodies targeting different epitopes of At5g16453 to capture the full spectrum of protein variants present in biological samples .

What approaches enable detection of low-abundance At5g16453 in complex samples?

Detection of low-abundance At5g16453 protein presents technical challenges that can be addressed through:

  • Signal amplification methods:

    • Tyramide signal amplification for immunohistochemistry/immunofluorescence

    • Poly-HRP secondary antibodies for enhanced Western blot sensitivity

    • Biotin-streptavidin systems for multi-layer signal enhancement

  • Sample enrichment strategies:

    • Subcellular fractionation to concentrate specific cellular compartments

    • Affinity purification to isolate specific protein complexes

    • Immunoprecipitation followed by more sensitive detection methods

  • Specialized detection platforms:

    • Single-molecule detection systems

    • Digital ELISA technologies with femtomolar sensitivity

    • Mass spectrometry following immunoprecipitation for targeted proteomics

These approaches can improve detection limits by 10-100 fold compared to standard protocols, enabling visualization of proteins present at physiologically relevant but analytically challenging concentrations .

How can At5g16453 antibodies be incorporated into multiplex detection systems?

Multiplex analysis incorporating At5g16453 antibodies enables simultaneous detection of multiple targets, providing contextual information about protein interaction networks. Implementation considerations include:

  • Fluorophore/reporter selection:

    • Spectral separation between fluorophores to minimize signal overlap

    • Brightness matching to accommodate different target abundance levels

    • Stability under experimental conditions

  • Validation requirements:

    • Antibody performance assessment in multiplex versus single-plex format

    • Cross-reactivity testing between primary and secondary antibodies

    • Signal interference evaluation between detection channels

  • Data analysis approaches:

    • Compensation matrices for spectral overlap correction

    • Background subtraction methods

    • Normalization strategies for comparative quantification

The table below presents a typical validation matrix for multiplex experiments incorporating At5g16453 antibodies:

ParameterSingle-plexDuplexTriplexQuadruplex
Signal intensity (% of single-plex)100%92-97%85-94%79-90%
Background levelMinimalSlight increaseModerate increaseHigher increase
Cross-reactivityNoneMinimalRequires compensationRequires advanced compensation
Limit of detectionOptimalComparableSlightly reducedModerately reduced

This approach enables comprehensive protein network analysis while maintaining quantitative accuracy across detection channels .

What considerations are important when adapting At5g16453 antibodies for flow cytometry in plant protoplasts?

Flow cytometric analysis of At5g16453 in plant protoplasts requires specialized protocol adaptations:

  • Protoplast preparation optimization:

    • Enzyme digestion conditions to preserve epitope integrity

    • Buffer compositions to maintain cell viability

    • Fixation protocols compatible with antibody recognition

  • Antibody incubation parameters:

    • Extended incubation times compared to mammalian cells (typically 1-2 hours)

    • Optimized permeabilization for intracellular targets

    • Elevated antibody concentrations to overcome plant cell autofluorescence

  • Instrument setup considerations:

    • Forward/side scatter gating strategies for plant protoplast populations

    • Autofluorescence compensation using untreated control samples

    • Signal-to-noise optimization through PMT voltage adjustment

When establishing this technique, researchers should perform side-by-side comparisons with alternative methods (Western blot, immunofluorescence microscopy) to validate flow cytometry results .

How can researchers develop custom At5g16453 antibody conjugates for specialized applications?

Custom conjugation of At5g16453 antibodies enables application-specific modifications that enhance experimental capabilities:

  • Direct fluorophore conjugation:

    • Amine-reactive dyes targeting antibody lysine residues

    • Site-specific conjugation through engineered cysteine residues

    • Optimization of dye:antibody ratios to prevent fluorescence quenching

  • Enzymatic reporter conjugation:

    • HRP or AP conjugation for enhanced detection sensitivity

    • Maintaining enzyme activity through optimized conjugation chemistry

    • Stabilization with appropriate preservatives

  • Bioorthogonal conjugation approaches:

    • Click chemistry for modular functionalization

    • Sortase-mediated conjugation for site-specific attachment

    • Enzymatic labeling using biotin ligase systems

These modifications must be validated to ensure conjugation doesn't compromise antibody binding properties. Researchers should compare conjugated and unconjugated antibody performance using identical experimental conditions .

What strategies address common issues in At5g16453 Western blot detection?

Western blot analysis of At5g16453 may encounter technical challenges requiring systematic troubleshooting:

  • Weak or absent signal:

    • Increase antibody concentration or incubation time

    • Enhance detection sensitivity using high-sensitivity substrates

    • Optimize protein extraction to improve target solubility

    • Extend transfer time for high-molecular-weight proteins

  • Non-specific banding patterns:

    • Increase blocking stringency (5% BSA often superior to milk for plant samples)

    • Implement more stringent washing protocols (higher detergent concentration)

    • Pre-adsorb antibody with plant extract lacking At5g16453

    • Decrease antibody concentration while extending incubation time

  • Inconsistent results between experiments:

    • Standardize protein extraction protocols

    • Implement loading controls for normalization

    • Maintain consistent antibody lots when possible

    • Document and control transfer efficiency between experiments

A methodical approach to these issues significantly improves reproducibility and data quality in At5g16453 detection .

How should researchers interpret variation in At5g16453 antibody performance across different Arabidopsis ecotypes?

Antibody performance variation across Arabidopsis ecotypes requires careful interpretation based on:

  • Genetic variation considerations:

    • Allelic variants may alter epitope sequences

    • Expression level differences between ecotypes

    • Post-translational modification patterns specific to ecotypes

  • Validation approaches:

    • Sequence alignment of At5g16453 across ecotypes to identify potential epitope variations

    • Parallel testing with multiple antibodies targeting different epitopes

    • Correlation with transcript levels across ecotypes

  • Documentation requirements:

    • Specify ecotype(s) used in all experimental reports

    • Indicate known limitations in cross-ecotype applications

    • Record lot-specific performance variation for laboratory reference

A comprehensive characterization of antibody performance across common ecotypes (Col-0, Ler, Ws) establishes a foundation for experimental design and data interpretation .

What methodological approaches enable differentiation between At5g16453 and closely related protein family members?

Distinguishing At5g16453 from related proteins requires specialized experimental approaches:

  • Epitope selection strategies:

    • Targeting unique sequence regions not conserved in related proteins

    • Validation against recombinant proteins representing each family member

    • Competition assays with peptides representing shared versus unique epitopes

  • Experimental validation methods:

    • Testing against tissues with differential expression of family members

    • Immunoprecipitation followed by mass spectrometry for binding partner identification

    • RNA interference to selectively deplete individual family members

  • Data interpretation frameworks:

    • Correlation with transcriptomic data for family member expression patterns

    • Integration with functional assays to confirm biological relevance

    • Consideration of developmental and tissue-specific regulation

How can At5g16453 antibodies be adapted for advanced imaging techniques?

Adaptation of At5g16453 antibodies for cutting-edge microscopy requires specialized modifications and validation:

  • Super-resolution microscopy applications:

    • Direct conjugation with photoswitchable fluorophores for STORM/PALM

    • Secondary antibody selection for STED compatibility

    • Optimization of fixation protocols to preserve nanoscale structures

    • Sample clearing techniques for plant tissue imaging depth enhancement

  • Live-cell imaging adaptations:

    • Development of membrane-permeable antibody fragments

    • Single-chain variable fragments (scFvs) for intracellular expression

    • Nanobody alternatives with superior tissue penetration properties

  • Correlative light-electron microscopy (CLEM):

    • Gold-conjugated secondary antibodies for TEM visualization

    • Fiducial markers for alignment between fluorescence and electron microscopy

    • Specialized sample preparation preserving both antigenicity and ultrastructure

These advanced imaging approaches enable visualization of At5g16453 subcellular localization and dynamics with unprecedented resolution, revealing functional relationships not visible with conventional techniques .

What considerations are important for developing quantitative multiplex assays incorporating At5g16453 detection?

Development of quantitative multiplex platforms requires systematic optimization:

  • Assay platform selection based on research needs:

    • Luminex bead-based assays for solution-phase multiplexing

    • Planar antibody arrays for high-density target detection

    • Digital ELISA platforms for ultrasensitive quantification

  • Antibody compatibility assessment:

    • Cross-reactivity testing between all antibody pairs

    • Buffer optimization to accommodate all included antibodies

    • Incubation condition standardization across targets

  • Quantification strategy development:

    • Standard curve generation for each target protein

    • Determination of dynamic range and detection limits

    • Verification of quantitative accuracy in complex samples

The table below presents typical performance characteristics for At5g16453 in different multiplex formats:

ParameterSingleplex ELISADuplex Assay5-plex Assay10-plex Assay
Lower limit of detection5 pg/mL8 pg/mL15 pg/mL25 pg/mL
Upper limit of quantification2000 pg/mL1800 pg/mL1500 pg/mL1200 pg/mL
Intra-assay CV%3-5%5-8%8-12%10-15%
Inter-assay CV%8-10%10-12%12-18%15-22%
Sample volume requirement100 μL100 μL150 μL200 μL

This systematic approach ensures reliable quantitative data for At5g16453 alongside other proteins of interest .

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