The antibody targets the protein product of the AT1G24800 gene, which encodes a F-box domain-containing protein involved in ubiquitin-mediated proteolysis pathways. Key characteristics include:
Protein Function: Facilitates substrate recognition in SCF ubiquitin ligase complexes, critical for protein degradation and cellular regulation .
Sequence Context: The immunogen corresponds to the full-length recombinant protein, though exact epitopes remain uncharacterized .
Protein Expression Profiling: Used in Western Blot to detect native At1g24800 protein levels in Arabidopsis tissues .
Subcellular Localization Studies: Supports indirect immunofluorescence assays (not explicitly validated) .
Interaction Screens: Potential utility in immunoprecipitation to identify binding partners of the F-box protein.
Specificity: Demonstrated reactivity with recombinant At1g24800 protein via ELISA, with no cross-reactivity reported against other plant species .
Batch Consistency: Each lot undergoes affinity purification to ensure >90% IgG purity .
At1g24800 is a gene in Arabidopsis thaliana (Mouse-ear cress), a model organism widely used in plant molecular biology. The protein encoded by this gene is studied using specific antibodies such as the CSB-PA320691XA01DOA antibody from commercial suppliers . Understanding this protein's function provides insights into plant cellular processes and signaling pathways.
When designing experiments with the At1g24800 antibody, researchers should first characterize the protein's molecular weight, cellular localization, and documented functions. Consulting Arabidopsis databases will provide essential background for experimental design and interpretation.
Before utilizing At1g24800 antibody in critical experiments, multiple validation approaches should be implemented:
Western blotting with wild-type and At1g24800 knockout samples to confirm specificity
Immunoprecipitation followed by mass spectrometry to verify target capture
Competition assays with purified antigen to demonstrate binding specificity
Cross-reactivity assessment against related Arabidopsis proteins
Evaluation across different tissues to confirm expected expression patterns
Thorough validation prevents experimental artifacts and ensures reproducible results, particularly when working with plant-specific antibodies that may have limited validation documentation compared to medical research antibodies .
Implementing proper controls is essential for generating reliable data with At1g24800 antibody:
Positive controls: Include Arabidopsis samples with known expression of At1g24800
Negative controls: Utilize genetic knockout lines for At1g24800 when available
Loading controls: Incorporate detection of housekeeping proteins (e.g., actin) to normalize for sample loading variations
Isotype controls: Include irrelevant antibodies of the same isotype to identify non-specific binding
Blocking peptide controls: Pre-incubate antibody with immunizing peptide to confirm binding specificity
These controls help distinguish between specific signals and experimental artifacts, similar to validation practices demonstrated in immunological research with other receptor antibodies .
Optimal tissue preparation significantly impacts antibody performance in plant samples:
Protein extraction: Use buffer systems containing appropriate detergents (0.1-1% Triton X-100 or NP-40) to solubilize membrane-associated proteins
Fixation protocols: For immunohistochemistry, test both aldehyde-based (4% paraformaldehyde) and alcohol-based fixatives to determine optimal epitope preservation
Antigen retrieval: Apply heat-induced or enzymatic antigen retrieval methods to expose epitopes masked during fixation
Blocking optimization: Test multiple blocking agents (BSA, normal serum, commercial blockers) to minimize background signal
Sample handling: Process tissues rapidly and maintain cold chain to preserve protein integrity and prevent degradation
Systematic optimization of these parameters ensures maximum sensitivity and specificity, similar to approaches used in membrane protein antibody research .
The At1g24800 antibody can be employed in multiple experimental contexts:
Western blotting: For protein detection and quantification across different tissues or treatment conditions
Immunoprecipitation: To isolate At1g24800 and associated protein complexes
Immunohistochemistry/Immunofluorescence: For visualization of protein localization within plant tissues
Chromatin immunoprecipitation: If At1g24800 has DNA-binding properties
ELISA: For quantitative measurement in complex sample matrices
Each application requires specific optimization, with antibody dilutions typically ranging from 1:500 to 1:2000 depending on the application and antibody affinity.
Investigating protein-protein interactions involving At1g24800 requires strategic integration of antibody-based techniques with complementary approaches:
Co-immunoprecipitation (Co-IP): Use At1g24800 antibody to pull down the protein along with interaction partners, followed by Western blotting or mass spectrometry identification
Proximity ligation assay (PLA): Combine At1g24800 antibody with antibodies against suspected interaction partners to visualize interactions in situ
Antibody-based protein arrays: Screen for potential interactors by overlaying labeled protein on antibody arrays
Sequential immunoprecipitation: Perform tandem purifications to identify stable protein complexes
Cross-linking coupled with immunoprecipitation: Preserve transient interactions prior to antibody-based isolation
These approaches mirror techniques utilized in studying receptor complex formation in other systems, such as AT1R protein complexes investigated in immune disease models .
Cross-reactivity must be systematically evaluated and mitigated:
Epitope mapping: Determine the exact region recognized by the antibody through peptide arrays or deletion mutants
Sequence alignment analysis: Compare the epitope sequence with other Arabidopsis proteins to predict potential cross-reactive targets
Absorption controls: Pre-incubate antibody with recombinant proteins containing similar epitopes
Knockout validation: Compare staining patterns between wild-type and At1g24800 knockout tissues
Orthogonal detection methods: Validate findings using non-antibody-based approaches
Potential cross-reactivity with related Arabidopsis proteins can be systematically evaluated using bioinformatic prediction followed by empirical validation, similar to approaches used for characterizing antibody specificity in receptor research .
Non-specific binding can be addressed through systematic troubleshooting:
Titration optimization: Test a range of antibody dilutions (1:500 to 1:5000) to identify the optimal signal-to-noise ratio
Buffer optimization: Modify salt concentration (150-500 mM NaCl) and detergent levels (0.05-0.3% Tween-20) to reduce non-specific interactions
Blocking enhancement: Extend blocking time (1-16 hours) and test alternative blocking agents
Pre-absorption strategy: Incubate antibody with protein extracts from knockout plants to remove non-specific binders
Two-step detection: Implement indirect detection systems with species-specific secondary antibodies
These approaches parallel strategies used in optimizing antibody specificity in membrane protein research, where non-specific binding is a common challenge .
Post-translational modifications (PTMs) can significantly affect antibody binding:
Phosphorylation effects: Include phosphatase inhibitors in extraction buffers to preserve phosphorylation states that may affect epitope recognition
Glycosylation considerations: Test enzymatic deglycosylation to determine if glycan structures mask antibody epitopes
Confirmation with PTM-specific antibodies: When available, use modification-specific antibodies to correlate with At1g24800 antibody binding patterns
Mass spectrometry validation: Combine immunoprecipitation with mass spectrometry to identify modifications present on the recognized protein
Environmental modulation: Compare antibody recognition across different stress conditions known to induce specific PTMs
Understanding PTM impacts on antibody recognition is essential for accurate data interpretation, particularly when studying protein regulation under different environmental conditions .
Investigating membrane associations requires specialized approaches:
Subcellular fractionation: Separate membrane fractions prior to immunoblotting to determine membrane association
Detergent solubility profiling: Test extraction with different detergents to characterize membrane microdomain associations
Immunoelectron microscopy: Use gold-conjugated secondary antibodies to visualize precise membrane localization
FRET-based proximity detection: Combine antibody-based detection with membrane dyes to measure proximity to membrane structures
Protease protection assays: Determine protein topology through selective proteolysis combined with domain-specific antibody detection
These approaches can help determine if At1g24800 functions as a membrane-associated protein, similar to methodologies used in receptor localization studies .
Proper storage and handling are critical for maintaining antibody performance:
Storage temperature: Store at -20°C for long-term preservation, with working aliquots at 4°C
Aliquoting strategy: Divide into 10-20 μl single-use aliquots to minimize freeze-thaw cycles
Buffer composition: Ensure storage buffer contains stabilizers (typical formulation: PBS with 50% glycerol, 0.02% sodium azide)
Contamination prevention: Use sterile technique when handling antibody solutions
Shelf-life monitoring: Periodically validate activity using consistent positive controls
Implementing these practices extends antibody shelf-life and ensures consistent performance across experiments, similar to handling recommendations for other research antibodies .
When encountering variability in antibody performance:
Batch variation assessment: Compare lot numbers and request manufacturer validation data
Protocol standardization: Document and strictly control all experimental variables
Sample preparation consistency: Standardize protein extraction and handling procedures
Internal standardization: Include recombinant protein standards to calibrate detection sensitivity
Environmental variables: Control for growth conditions, developmental stage, and stress exposure
Systematic documentation of these variables helps identify sources of experimental variation and enables consistent interpretation of results .
Quantitative analysis requires rigorous methodology:
Dynamic range determination: Establish the linear range of detection through standard curve generation
Normalization strategy: Implement housekeeping protein controls appropriate for the experimental conditions
Technical replication: Perform multiple technical replicates (minimum n=3) for each biological sample
Image acquisition standardization: Maintain consistent exposure settings and instrument parameters
Statistical validation: Apply appropriate statistical tests to determine significance of observed differences
These approaches parallel quantitative methods used in antibody-based studies of receptor proteins in various experimental systems .
Fixation significantly impacts epitope preservation and accessibility:
Aldehyde fixation: 4% paraformaldehyde preserves structure but may mask epitopes
Organic solvent fixation: Methanol or acetone fixation denatures proteins but may preserve certain epitopes
Fixation duration effects: Optimize fixation time (30 minutes to 24 hours) to balance tissue preservation and antibody accessibility
Post-fixation processing: Test different antigen retrieval methods (heat-induced, enzymatic) to restore epitope recognition
Fresh-frozen comparison: Compare fixed tissues with fresh-frozen sections to assess fixation impact
Systematic comparison of these parameters enables optimization of immunohistochemical protocols for maximum sensitivity and specificity .
Complete reporting ensures experimental reproducibility:
Antibody specifications: Include catalog number, lot number, and manufacturer
Validation evidence: Document specificity confirmation methods
Protocol details: Provide complete methodology including dilutions, incubation times, and buffer compositions
Control experiments: Report all control conditions used to validate specificity
Quantification methods: Detail image acquisition parameters and analysis algorithms
This comprehensive documentation enables meaningful comparison across studies and facilitates reproduction of results by other researchers .
Investigating developmental regulation requires strategic experimental design:
Developmental time course: Sample tissues at defined developmental stages for immunoblotting
Tissue-specific analysis: Combine laser capture microdissection with immunodetection for cell-type specific analysis
Inducible systems: Use hormone or stress treatments to trigger developmental transitions while monitoring protein levels
Co-localization studies: Combine At1g24800 antibody with markers for specific organelles or structures
In situ protein turnover: Implement cycloheximide chase experiments with antibody detection to measure protein stability
These approaches provide insights into spatial and temporal regulation of protein expression throughout plant development .
Stress response studies require specific experimental considerations:
Stress treatment standardization: Apply precisely controlled stress conditions (duration, intensity)
Time-course analysis: Monitor protein levels at multiple time points following stress exposure
Subcellular redistribution: Examine changes in protein localization using fractionation and immunoblotting
Post-translational modification profiling: Combine phospho-specific detection with total protein quantification
Protein complex dynamics: Analyze stress-induced changes in protein interaction partners
These approaches parallel methods used to study receptor-mediated stress responses in other experimental systems .
Integration with proteomics enhances experimental depth:
Antibody-based enrichment: Use immunoprecipitation to isolate At1g24800 and associated proteins prior to mass spectrometry
Validation of proteomics findings: Confirm mass spectrometry-identified interactions using co-immunoprecipitation
Targeted proteomics: Develop selected reaction monitoring assays calibrated against antibody-based quantification
Protein complex analysis: Combine native gel electrophoresis with immunoblotting to resolve intact complexes
PTM mapping: Correlate modification-specific antibody recognition with proteomics-identified modification sites
Cross-species application requires careful validation:
Sequence conservation analysis: Compare epitope sequences across species using multiple sequence alignment
Western blot validation: Test antibody recognition in each species using appropriate positive controls
Titration optimization: Determine optimal antibody concentrations for each species
Blocking optimization: Adjust blocking conditions to minimize background in each species
Cross-reactivity profiling: Identify potential cross-reactive proteins in each species through immunoprecipitation and mass spectrometry
These validation steps are essential when extending findings from Arabidopsis to other plant species, similar to validation approaches used in cross-species antibody applications .
Knockout validation: Compare antibody staining between wild-type and knockout plants
Overexpression systems: Correlate increased antibody signal with genetically-driven overexpression
Tagged protein comparison: Compare antibody detection with fluorescent protein-tagged versions
Complementation analysis: Rescue phenotypes with modified proteins that can be differentially detected
CRISPR-mediated epitope modification: Generate plants with altered epitopes to confirm antibody specificity
New technologies are expanding antibody utility:
Super-resolution microscopy: Apply STORM or PALM imaging to achieve nanometer-scale resolution of protein localization
Proximity labeling: Combine antibody validation with BioID or APEX2 proximity labeling to map protein neighborhoods
Single-cell protein analysis: Implement antibody-based detection in microfluidic single-cell analysis platforms
Spatial transcriptomics integration: Correlate antibody-based protein localization with spatial gene expression data
Nanobody development: Engineer single-domain antibodies for improved tissue penetration and reduced background
These emerging approaches will enhance the spatial and temporal resolution of protein analysis in plant systems .
Standardization initiatives could advance research quality:
Validation criteria: Establish minimum validation requirements for antibody-based plant research
Reference materials: Develop shared positive and negative control samples
Reporting standards: Implement comprehensive methodology reporting requirements
Data repository creation: Establish databases for antibody validation data specific to plant research
Interlaboratory testing: Organize cross-laboratory validation studies to assess reproducibility
These efforts parallel standardization initiatives in medical research that have improved antibody reliability .