At1g63522 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
At1g63522 antibody; F2K11 antibody; Defensin-like protein 278 antibody
Target Names
At1g63522
Uniprot No.

Target Background

Database Links
Protein Families
DEFL family
Subcellular Location
Secreted.

Q&A

What is the At1g63522 protein and its function in Arabidopsis thaliana?

At1g63522 refers to a specific gene locus in Arabidopsis thaliana (Mouse-ear cress), encoding a protein with UniProt accession number Q2V4F7 . This protein belongs to the diverse array of plant proteins involved in cellular processes. While specific functional characterization data is limited in the provided sources, researchers typically employ antibodies against such targets to investigate protein expression patterns, subcellular localization, and functional roles in plant development and stress responses.

Research methodology for functional characterization typically involves:

  • Immunolocalization studies in plant tissue sections

  • Western blot analysis to determine expression levels across different developmental stages

  • Co-immunoprecipitation to identify interaction partners

  • Phenotypic analysis of knockout/knockdown lines compared to wildtype plants

What detection methods are compatible with At1g63522 antibody applications?

The At1g63522 antibody (catalog code CSB-PA648864XA01DOA) can be applied in multiple detection methodologies common to plant molecular biology research . Based on antibody applications in similar plant research contexts, recommended detection methods include:

Detection MethodTypical Dilution RangeSample Preparation Notes
Western Blotting1:500 - 1:2000Protein extraction with plant-specific buffers containing protease inhibitors
Immunohistochemistry1:100 - 1:500Fixation with 4% paraformaldehyde; antigen retrieval may be necessary
ELISA1:1000 - 1:5000Serial dilutions recommended for quantitative applications
Immunofluorescence1:50 - 1:200May require optimization of fixation and permeabilization protocols

Researchers should validate specific dilutions for their experimental conditions, as optimal parameters may vary depending on protein expression levels and tissue types.

How should researchers design controls for At1g63522 antibody validation in experimental systems?

Proper validation of At1g63522 antibody specificity is critical for reliable experimental outcomes. A comprehensive validation strategy should include:

  • Positive Controls:

    • Recombinant At1g63522 protein expression in heterologous systems

    • Overexpression lines of At1g63522 in Arabidopsis

    • Tissue samples known to express the target protein based on transcriptomic data

  • Negative Controls:

    • Knockout/knockdown lines of At1g63522

    • Pre-immune serum applications

    • Competitive blocking with the immunizing peptide

    • Secondary antibody-only controls

  • Cross-Reactivity Assessment:

    • Testing against closely related proteins from the same family

    • Evaluation in multiple plant species if cross-species reactivity is claimed

What are the critical sample preparation factors affecting At1g63522 antibody performance in plant tissues?

Plant tissues present unique challenges for antibody applications due to cell wall structures, abundant secondary metabolites, and proteases. Critical factors to consider include:

  • Tissue Fixation and Processing:

    • Fixation duration and temperature significantly impact epitope preservation

    • Cross-linking fixatives (e.g., paraformaldehyde) versus precipitating fixatives (e.g., acetone)

    • Selection of appropriate embedding media for sectioning

  • Protein Extraction Optimization:

    • Buffer composition including detergents (CHAPS, Triton X-100)

    • Protease and phosphatase inhibitor cocktails

    • Reducing agents to maintain protein conformation

    • Removal of interfering compounds (polyphenols, polysaccharides)

  • Signal Enhancement Strategies:

    • Antigen retrieval methods specific to plant tissues

    • Signal amplification systems for low-abundance proteins

    • Background reduction protocols to mitigate plant autofluorescence

Researchers should consider these factors when designing experiments with At1g63522 antibody to ensure optimal signal-to-noise ratios and reproducible results.

How can researchers address non-specific binding issues with At1g63522 antibody in Western blot applications?

Non-specific binding is a common challenge when working with plant antibodies. To improve specificity when using At1g63522 antibody:

  • Blocking Optimization:

    • Test different blocking agents (BSA, non-fat milk, plant-specific blockers)

    • Optimize blocking time and temperature

    • Consider dual blocking with combinations of agents

  • Antibody Incubation Parameters:

    • Titrate antibody concentrations systematically

    • Evaluate incubation times (2 hours at room temperature versus overnight at 4°C)

    • Test addition of reducing agents or detergents to incubation buffer

  • Wash Protocol Modifications:

    • Increase wash stringency with higher salt concentrations

    • Extend wash durations

    • Add low concentrations of detergents to wash buffers

  • Pre-adsorption Strategies:

    • Pre-adsorb antibody with plant extracts from knockout lines

    • Use tissue powder from unrelated plant species to remove cross-reactivity

These approaches can help distinguish true signal from background, particularly important when working with antibodies targeting plant proteins with conserved domains.

What methods can verify At1g63522 antibody specificity in immunolocalization studies?

Confirming antibody specificity in immunolocalization studies requires multiple validation approaches:

  • Genetic Controls:

    • Parallel staining of wildtype and knockout/knockdown mutants

    • Analysis of overexpression lines for increased signal intensity

    • Complementation lines to restore signal in mutant backgrounds

  • Technical Controls:

    • Peptide competition assays to block specific binding

    • Co-localization with fluorescently tagged versions of the target protein

    • Concordance between RNA expression data and protein localization patterns

  • Microscopy Validation:

    • Z-stack analysis to distinguish true signal from artifacts

    • Spectral imaging to separate antibody signal from autofluorescence

    • Super-resolution techniques to confirm subcellular localization

  • Biochemical Confirmation:

    • Subcellular fractionation followed by Western blotting

    • Mass spectrometry analysis of immunoprecipitated complexes

    • Correlation with proteomic datasets

Implementing these validation strategies allows researchers to confidently interpret immunolocalization data obtained with At1g63522 antibody.

How can At1g63522 antibody be applied in chromatin immunoprecipitation (ChIP) studies?

While primarily used for detecting proteins, At1g63522 antibody might be applicable in ChIP studies if the target protein functions in transcriptional regulation or chromatin modification. For ChIP applications:

  • Protocol Adaptations:

    • Crosslinking optimization specifically for plant chromatin

    • Sonication parameters adjusted for plant cell walls

    • Antibody concentration typically 2-5× higher than for Western blotting

  • Quality Control Metrics:

    • Validation by quantitative PCR of known or predicted binding regions

    • Input normalization accounting for plant genome size

    • Background assessment using IgG control

  • Data Analysis Considerations:

    • Plant-specific peak calling algorithms

    • Integration with plant transcriptomic datasets

    • Motif analysis incorporating plant transcription factor databases

Researchers pursuing ChIP applications should first validate that At1g63522 has DNA-binding or chromatin-associated functions before investing in extensive protocol optimization.

What approaches can integrate At1g63522 antibody data with multi-omics datasets?

Integration of antibody-based studies with other omics approaches provides comprehensive insights into protein function:

  • Transcriptome Correlation:

    • Compare protein expression patterns with mRNA levels

    • Analyze temporal dynamics between transcription and translation

    • Identify post-transcriptional regulation mechanisms

  • Metabolomic Integration:

    • Link protein abundance with metabolite profiles

    • Establish cause-effect relationships through time-course studies

    • Map protein localization to metabolic pathway compartmentalization

  • Phenomic Correlation:

    • Associate protein expression levels with phenotypic traits

    • Develop predictive models linking protein abundance to plant performance

    • Map protein expression patterns to developmental stage transitions

  • Network Analysis Approaches:

    • Construct protein-protein interaction networks

    • Identify regulatory hubs and functional modules

    • Perform cross-species comparison of orthologous networks

These integration strategies allow researchers to position At1g63522 within broader biological contexts and develop testable hypotheses about its functional significance.

How can researchers optimize At1g63522 antibody for analyzing stress responses in Arabidopsis?

Plant stress response studies present unique challenges for antibody applications due to dynamic protein changes and post-translational modifications:

  • Sampling Strategy Considerations:

    • Precise timing of sample collection after stress induction

    • Standardization of stress application protocols

    • Tissue-specific analysis accounting for systemic responses

  • Extraction Protocol Modifications:

    • Stress-specific buffer formulations

    • Preservation of stress-induced post-translational modifications

    • Rapid processing to prevent artificial stress responses

  • Quantification Approaches:

    • Internal loading controls appropriate for stress conditions

    • Normalization strategies accounting for stress-induced proteome changes

    • Time-course analysis to capture transient responses

  • Combinatorial Stress Analysis:

    • Antibody applications in multi-stress experimental designs

    • Distinguishing additive from synergistic protein responses

    • Protocol adaptations for field-collected versus controlled environment samples

Optimizing these parameters enables researchers to accurately assess At1g63522 protein dynamics during plant stress responses and determine its potential role in stress adaptation mechanisms.

What considerations are important when using At1g63522 antibody across different Arabidopsis ecotypes or related species?

Cross-ecotype and cross-species applications of At1g63522 antibody require careful validation and interpretation:

  • Sequence Conservation Analysis:

    • Alignment of epitope regions across target ecotypes/species

    • Prediction of antibody cross-reactivity based on sequence identity

    • Identification of potential polymorphic regions affecting binding

  • Validation Requirements:

    • Positive controls from the species of origin (Col-0 ecotype)

    • Western blot comparison across multiple ecotypes/species

    • Titration series to determine optimal concentration for each target

  • Data Interpretation Guidelines:

    • Accounting for differential expression levels in comparative studies

    • Consideration of differential post-translational modifications

    • Assessment of protein subcellular localization conservation

  • Technical Adaptations:

    • Species-specific sample preparation protocols

    • Modified blocking strategies for different plant backgrounds

    • Adjusted incubation parameters based on epitope conservation

These considerations help researchers extend their findings beyond model ecotypes and determine the evolutionary conservation of At1g63522 protein function across plant species.

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