At1g33010 Antibody

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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
At1g33010 antibody; F9L11.16Putative F-box protein At1g33010 antibody
Target Names
At1g33010
Uniprot No.

Q&A

What is the At1g33010 gene and its encoded protein in Arabidopsis thaliana?

At1g33010 is a gene locus in Arabidopsis thaliana that encodes a specific protein involved in plant developmental processes. Understanding this protein's function requires specialized antibodies that can detect its presence across different tissues and developmental stages. The protein's expression patterns vary significantly between plant organs, with research showing differential expression in inflorescences compared to stems and leaves . Researchers typically use western blot analysis with monoclonal antibodies to detect this protein, as demonstrated in comparative studies of tissue-specific expression patterns.

How are monoclonal antibodies against At1g33010 generated?

Monoclonal antibodies against At1g33010 are typically generated using a systematic approach that begins with protein extraction from Arabidopsis tissues. The process involves:

  • Extraction of total proteins from Arabidopsis inflorescences

  • Immunization of mice with these protein extracts

  • Isolation of spleen cells (approximately 2.0 × 10^7/mL)

  • Fusion with mouse P3X63Ag8.653 cell line to generate hybridoma cells

  • Screening of hybridoma cells by western blot

  • Sub-cloning of positive cells by limiting dilution

  • Expansion culture of positive clones

  • Harvesting and purification of antibodies using protein A

This process follows the general workflow illustrated below, which has proven effective for generating specific monoclonal antibodies from complex protein mixtures:

StepProcedurePurpose
1Protein extractionObtain total proteins from target tissue
2Mouse immunizationGenerate immune response
3Hybridoma generationCreate antibody-producing cell lines
4ScreeningIdentify cells producing target antibodies
5Sub-cloningIsolate single antibody-producing clones
6PurificationObtain pure antibody samples

What expression patterns are typically observed for the At1g33010 protein?

Expression pattern analysis shows that At1g33010 protein exhibits tissue-specific localization. Based on immunofluorescence microscopy studies using specific monoclonal antibodies, the protein shows differential expression across plant organs. Similar to other Arabidopsis proteins characterized through antibody screening, At1g33010 protein may fall into one of three expression categories:

  • Tissue-specific expression (detected only in specific organs)

  • Preferential expression (higher levels in certain tissues)

  • Broad expression (relatively uniform presence across tissues)

Western blot analyses typically show distinct banding patterns when comparing protein extracts from leaves, stems, and inflorescences, with some proteins exhibiting single-band specificity that makes them excellent candidates for molecular markers in developmental studies.

How should researchers design experiments to validate At1g33010 antibody specificity?

Validating At1g33010 antibody specificity requires a multi-step experimental approach:

  • Western Blot Analysis: Test the antibody against protein extracts from different tissues (leaves, stems, inflorescences) to confirm it detects a protein of the expected molecular weight. A specific antibody should ideally produce a single band of the predicted size .

  • Cross-Reactivity Testing: Examine potential cross-reactivity with proteins from related plant species or mutant lines with altered At1g33010 expression.

  • Immunoprecipitation (IP): Perform IP followed by mass spectrometry (MS) analysis to confirm the identity of the detected protein .

  • Immunolocalization Studies: Conduct immunofluorescence microscopy on tissue sections to verify subcellular localization patterns consistent with predicted protein function.

Variable TypeExamples for At1g33010 Antibody Validation
Independent VariableTissue type, protein concentration, antibody dilution
Dependent VariableBand intensity, specificity (single/multiple bands), localization pattern
Controlled VariablesExtraction method, protein quantification, incubation conditions

What are the optimal conditions for western blot analysis using At1g33010 antibodies?

Optimal western blot conditions for At1g33010 antibodies include:

  • Protein Separation: Use 4-15% polyacrylamide gradient gels for effective separation of plant proteins across a wide molecular weight range .

  • Transfer Conditions: Transfer proteins to nitrocellulose membranes at controlled voltage to ensure complete transfer without protein degradation.

  • Blocking Solution: Block with 5% non-fat milk in TBST to minimize background signal .

  • Antibody Dilution: Dilute primary antibody 1:500 in blocking solution and incubate overnight at 4°C for optimal binding .

  • Washing Protocol: Perform three 5-minute washes with TBST after both primary and secondary antibody incubations .

  • Detection Method: Use HRP-conjugated secondary antibodies with ECL for sensitive detection, followed by imaging with appropriate scanners (e.g., Typhoon scanner) .

  • Controls: Include positive controls (known target tissues) and negative controls (tissues not expressing the target protein) in each experiment.

How can immunoprecipitation be optimized for At1g33010 protein studies?

Optimizing immunoprecipitation (IP) for At1g33010 protein requires careful attention to several methodological factors:

  • Antibody Concentration: Add antibodies to protein extract at an optimized concentration determined through titration experiments.

  • Incubation Parameters: Incubate antibody-protein mixture for 2 hours at 4°C to form antibody-antigen complexes .

  • Bead Selection: Use protein A-conjugated beads with incubation for 1 hour to capture antibody-protein complexes .

  • Collection Method: Collect beads by centrifugation at 2000g to maintain intact antibody-antigen complexes .

  • Elution Conditions: Carefully optimize elution conditions to release the target protein without contamination.

  • Downstream Analysis: Analyze immunoprecipitated proteins by mass spectrometry for accurate identification of target proteins and potential interacting partners.

This approach has been successfully used to identify antigens recognized by monoclonal antibodies in Arabidopsis studies .

How should researchers interpret conflicting results when using At1g33010 antibodies?

When confronted with conflicting results using At1g33010 antibodies, researchers should systematically evaluate several factors:

  • Antibody Specificity: Verify whether the antibody exhibits cross-reactivity with other proteins. Some antibodies may detect proteins with similar epitopes, resulting in multiple bands or unexpected localization patterns .

  • Experimental Conditions: Analyze whether differences in protein extraction methods, sample handling, or detection systems could explain the discrepancies.

  • Protein Modifications: Consider whether post-translational modifications might affect antibody recognition. The At1g33010 protein may exist in multiple forms depending on developmental stage or environmental conditions.

  • Quantitative Analysis: Perform densitometry on western blot bands or fluorescence intensity measurements for immunolocalization to objectively compare results across experiments.

  • Statistical Validation: Apply appropriate statistical tests to determine whether observed differences are significant or within the range of experimental variation.

Similar approaches have been used when interpreting conflicting autoantibody data in other research contexts , emphasizing the importance of methodological consistency and multiple technical replicates.

What statistical approaches are most appropriate for analyzing At1g33010 expression data?

Statistical analysis of At1g33010 expression data should be tailored to the experimental design and data characteristics:

  • Comparison Between Tissues: For comparing expression levels across multiple tissues, analysis of variance (ANOVA) with appropriate post-hoc tests (such as Tukey's HSD) should be used to identify significant differences.

  • Expression Categorization: Chi-square tests can be employed to determine whether the expression pattern of At1g33010 fits into tissue-specific, preferential, or broad expression categories, similar to approaches used in antibody screening studies .

  • Correlation Analysis: When examining relationships between At1g33010 expression and other variables (e.g., developmental stages), correlation coefficients (Pearson's or Spearman's) provide quantitative measures of association.

  • Sample Size Considerations: Ensure sufficient biological and technical replicates (typically n ≥ 3) to achieve statistical power, particularly when attempting to detect subtle differences in expression levels.

  • Normalization Methods: Apply appropriate normalization techniques when comparing expression across different experiments or conditions to account for technical variation.

How can At1g33010 antibodies be used for developmental studies in Arabidopsis?

At1g33010 antibodies offer powerful tools for developmental biology research in Arabidopsis:

  • Temporal Expression Analysis: Track protein expression across developmental stages from seedling to mature plant, focusing on transitions between vegetative and reproductive growth.

  • Tissue-Specific Localization: Use immunofluorescence microscopy on sectioned tissues to map protein distribution at cellular resolution, potentially revealing cell layer-specific expression patterns as observed with other plant proteins .

  • Protein Interaction Studies: Combine immunoprecipitation with mass spectrometry to identify protein complexes associated with At1g33010 during specific developmental processes.

  • Mutant Analysis: Compare protein expression and localization between wild-type plants and developmental mutants to establish functional relationships.

  • Environmental Response: Examine how At1g33010 protein levels change in response to environmental stimuli such as light, temperature, or stress conditions.

This approach follows the established methodology of using antibodies as molecular markers for studying cellular structures during flower development , providing insights into protein function that complement genetic and transcriptomic approaches.

What are the challenges in adapting At1g33010 antibodies for super-resolution microscopy?

Adapting At1g33010 antibodies for super-resolution microscopy presents several technical challenges:

  • Fixation Optimization: Standard paraformaldehyde fixation protocols may not preserve epitope accessibility while maintaining subcellular structure at nanometer resolution, requiring systematic testing of alternative fixatives.

  • Antibody Labeling: Direct labeling of primary antibodies with appropriate fluorophores (e.g., Alexa Fluor dyes) may be necessary to achieve the spatial precision required for techniques like STORM or PALM.

  • Signal-to-Noise Ratio: Background fluorescence in plant tissues can limit detection sensitivity, necessitating advanced background reduction strategies such as:

    • Optimized blocking procedures

    • Use of highly specific secondary detection systems

    • Implementation of spectral unmixing algorithms

  • Sample Preparation Considerations: Plant cell walls and autofluorescent compounds require specialized mounting media and imaging parameters compared to animal cell preparations.

  • Validation Approaches: Correlative light and electron microscopy may be needed to confirm super-resolution findings, particularly for novel subcellular localizations.

These challenges parallel those encountered in developing antibodies for other specialized microscopy applications, where methodological refinements are essential for successful implementation.

How can researchers develop a panel of complementary antibodies for studying At1g33010 function?

Developing a comprehensive antibody panel requires strategic planning:

  • Epitope Mapping: Generate antibodies targeting different domains of the At1g33010 protein to:

    • Distinguish between protein isoforms

    • Detect post-translational modifications

    • Recognize the protein in different conformational states

  • Polyclonal/Monoclonal Combination: Use both polyclonal antibodies (for sensitivity) and monoclonal antibodies (for specificity) in complementary approaches .

  • Species Diversity: Produce antibodies in different host species (mouse, rabbit, rat) to enable multi-label detection systems.

  • Application-Specific Validation: Validate each antibody specifically for intended applications:

    • Western blot

    • Immunoprecipitation

    • Immunohistochemistry

    • Flow cytometry

  • Cross-Species Reactivity: Test antibody recognition of homologous proteins in related plant species to enable comparative studies.

This approach mirrors successful strategies used for generating antibody panels against other target proteins, where combining antibodies with different properties enables more comprehensive functional analyses.

What future directions are emerging for At1g33010 antibody applications in plant research?

Emerging applications for At1g33010 antibodies include:

  • Single-Cell Proteomics: Adaptation of antibodies for flow cytometry and FACS-based isolation of specific cell populations expressing the protein.

  • Chromatin Immunoprecipitation (ChIP): If At1g33010 has DNA-binding properties, antibodies could be adapted for ChIP studies to identify genomic targets.

  • In Vivo Imaging: Development of nanobody derivatives for live-cell imaging applications.

  • Therapeutic Applications: If At1g33010 has homologs relevant to human disease, similar antibody development approaches could be applied for diagnostic or therapeutic purposes, similar to how some antibodies have been developed for broad neutralization of viruses .

  • Cross-Species Conservation Studies: Using antibodies to examine functional conservation of homologous proteins across plant species, potentially identifying conserved mechanisms in plant development.

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