The At4g17200 antibody is a custom-made polyclonal or monoclonal antibody targeting the protein product of the At4g17200 gene. In Arabidopsis thaliana, this gene encodes a protein of unknown function, though its nomenclature suggests potential roles in plant-specific metabolic or regulatory pathways. The antibody is typically produced in hosts such as rabbits or mice, with epitopes designed against specific peptide sequences of the target protein .
Western Blot: The antibody detects a band at the expected molecular weight for the At4g17200 protein in Arabidopsis lysates, confirming specificity .
ELISA: Demonstrated high titer, indicating strong binding affinity to the target antigen .
While peer-reviewed studies using this antibody are not yet available, its technical validation supports its use in:
Functional Genomics: Elucidating the role of the At4g17200 protein in Arabidopsis development or stress responses.
Protein Localization: Subcellular tracking via immunohistochemistry (if cross-reactivity is validated in plant tissues).
Comparative Studies: Investigating homologous proteins in other plant species.
Species Reactivity: Primarily validated for Arabidopsis thaliana; cross-reactivity with other species is undocumented.
Published Data: As of March 2025, no peer-reviewed studies citing this antibody are indexed in major databases, highlighting a gap in applied research .
Researchers are encouraged to:
Validate the antibody in additional applications (e.g., immunoprecipitation, flow cytometry).
Publish findings to establish its utility in plant biology contexts.
The At4g17200 gene in Arabidopsis thaliana encodes a protein of currently unknown function, though its nomenclature suggests potential roles in plant-specific metabolic or regulatory pathways. Current research efforts are still investigating its precise biological function. When working with this antibody, researchers should note that the limited functional annotation presents both challenges and opportunities in experimental design and interpretation. Preliminary characterization suggests this protein may be involved in developmental processes or stress responses based on expression patterns, though definitive functional studies are needed to confirm these hypotheses.
The At4g17200 antibody is typically produced in mammalian hosts such as rabbits or mice, with epitopes designed against specific peptide sequences of the target protein. The production process involves immunizing host animals with purified peptide corresponding to unique sequences of the At4g17200 protein, followed by isolation and purification of the resulting antibodies. The antibody is available in liquid form, formulated in a buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative. This formulation ensures stability during storage and handling while maintaining binding activity.
The At4g17200 antibody has been primarily validated for Arabidopsis thaliana. Cross-reactivity with other plant species remains largely undocumented, representing a gap in current research. When designing experiments with non-Arabidopsis species, it's essential to include appropriate controls to validate specificity, such as:
Western blot comparison between Arabidopsis and target species lysates
Peptide competition assays to confirm binding specificity
Cross-validation with other detection methods when possible
The degree of protein sequence conservation between species will likely determine cross-reactivity potential, with closely related Brassicaceae family members having higher probability of successful detection.
Optimizing Western blot conditions for the At4g17200 antibody requires systematic adjustment of several parameters to maximize signal-to-noise ratio:
| Parameter | Recommended Conditions | Optimization Notes |
|---|---|---|
| Sample Preparation | 50mM Tris-HCl (pH 7.5), 150mM NaCl, 1% Triton X-100, 0.1% SDS, 1mM EDTA, protease inhibitors | Include reducing agent (e.g., DTT) to ensure complete denaturation |
| Protein Loading | 15-30 μg total protein per lane | Titrate to determine minimum amount needed for detection |
| Transfer Conditions | PVDF membrane, semi-dry transfer at 15V for 45 minutes | Wet transfer at 30V overnight at 4°C may improve transfer of larger proteins |
| Blocking | 5% non-fat dry milk in TBST, 1 hour at room temperature | Test BSA as alternative if background persists |
| Primary Antibody | 1:1000 dilution in TBST with 5% BSA, overnight at 4°C | Perform dilution series (1:500-1:5000) to optimize |
| Washing | 4× with TBST, 10 minutes each | Increase wash duration for high background |
| Secondary Antibody | Anti-species HRP conjugate, 1:5000, 1 hour at room temperature | Match to primary antibody host species |
| Detection | ECL substrate with varied exposure times | Consider enhanced sensitivity systems for weak signals |
For troubleshooting non-specific bands, consider:
Pre-adsorbing antibody with knockout/knockdown Arabidopsis lysate
Adding 0.1% SDS to antibody dilution buffer to reduce hydrophobic interactions
Using gradient gels to better resolve proteins of similar molecular weight
Rigorous validation of antibody specificity is essential for reliable experimental results. For the At4g17200 antibody, implement a multi-faceted validation strategy:
Genetic validation: Compare protein detection between wild-type and At4g17200 knockout/knockdown Arabidopsis lines. The absence or reduction of signal in mutant lines strongly supports specificity.
Peptide competition assay: Pre-incubate the antibody with excess immunizing peptide before application to samples. Specific signals should be significantly reduced or eliminated.
Recombinant protein controls: Express and purify the At4g17200 protein (or epitope-containing fragment) as a positive control to verify antibody recognition.
Mass spectrometry validation: Perform immunoprecipitation followed by mass spectrometry to confirm the identity of proteins recognized by the antibody, particularly useful for identifying potential cross-reactivity.
Correlation with transcript levels: Compare protein expression patterns with mRNA levels across tissues or conditions, with concordant patterns supporting specificity.
Documentation of these validation steps in publications enhances data credibility and reproducibility, particularly given the limited published literature on At4g17200 antibody applications.
While immunoprecipitation using the At4g17200 antibody has not been extensively documented in literature, researchers can optimize protocols based on established plant protein immunoprecipitation methods:
Protocol outline:
Tissue preparation:
Harvest 1-2g fresh Arabidopsis tissue
Flash-freeze in liquid nitrogen and grind to fine powder
Add 3ml extraction buffer (50mM Tris-HCl pH 7.5, 150mM NaCl, 0.5% NP-40, 1mM EDTA, protease inhibitors)
Clarify lysate by centrifugation (14,000 × g, 15 minutes, 4°C)
Pre-clearing:
Incubate lysate with 50μl protein A/G beads for 1 hour at 4°C
Remove beads by centrifugation (1,000 × g, 5 minutes)
Antibody binding:
Divide lysate into experimental and control samples
Add 3-5μg At4g17200 antibody to experimental sample
Add equivalent amount of non-specific IgG to control sample
Incubate overnight at 4°C with gentle rotation
Immunoprecipitation:
Add 50μl pre-washed protein A/G beads to each sample
Incubate 3 hours at 4°C with rotation
Collect beads by centrifugation (1,000 × g, 2 minutes)
Washing and elution:
Wash beads 4× with wash buffer (same as extraction buffer with 0.1% NP-40)
Elute bound proteins with 50μl 2× SDS sample buffer (95°C, 5 minutes)
Analyze by SDS-PAGE and Western blotting
Successful immunoprecipitation can identify protein interaction partners of the At4g17200 protein, potentially providing functional insights into this understudied protein.
Immunofluorescence microscopy with plant tissues presents unique challenges due to cell wall barriers and autofluorescence. The following protocol adaptations optimize At4g17200 antibody performance:
Sample preparation options:
Paraffin sections: Fix tissue in 4% paraformaldehyde, dehydrate, embed, and section (5-10μm)
Cryosections: Embed in OCT compound, freeze, and section (10-20μm)
Whole-mount preparations: For roots or other thin tissues, fix directly and process intact
Optimized immunofluorescence protocol:
Fix samples in 4% paraformaldehyde in PBS (pH 7.4) for 30 minutes
Wash 3× with PBS (5 minutes each)
Permeabilize with 0.1% Triton X-100 in PBS (10 minutes)
Block with 3% BSA, 0.1% Triton X-100 in PBS (1 hour)
Incubate with At4g17200 antibody (1:200 dilution) in blocking buffer overnight at 4°C
Wash 5× with PBS containing 0.1% Triton X-100
Incubate with fluorescent secondary antibody (1:500) for 2 hours at room temperature
Counterstain with DAPI (1μg/ml, 10 minutes)
Mount in anti-fade medium
Critical controls:
Secondary antibody-only control to assess non-specific binding
Pre-immune serum control at equivalent concentration
Autofluorescence control (untreated sample)
If available, At4g17200 knockout/knockdown tissue as negative control
Autofluorescence management:
Treat sections with 0.1% sodium borohydride in PBS (10 minutes) before blocking
Consider CuSO₄ treatment (10mM in 50mM ammonium acetate, pH 5.0) for 30 minutes
Use far-red fluorophores for detection to minimize overlap with plant autofluorescence
Implement spectral unmixing during image acquisition if available
Integrating antibody-based data with other -omics approaches provides a comprehensive understanding of At4g17200 function through complementary perspectives:
| Omics Approach | Integration Method | Expected Insights | Analytical Considerations |
|---|---|---|---|
| Transcriptomics | Compare protein levels (Western blot) with mRNA levels (RNA-seq) | Post-transcriptional regulation mechanisms | Normalize data appropriately; use matched samples |
| Proteomics | IP-MS with At4g17200 antibody; compare with global proteome | Protein interaction network; pathway associations | Consider biological replicates; use stringent statistical filters |
| Metabolomics | Correlate At4g17200 protein levels with metabolite profiles | Potential enzymatic function or pathway regulation | Focus on metabolic pathways potentially related to protein function |
| Phenomics | Link protein expression patterns to phenotypic data | Physiological role during development or stress | Quantitative phenotyping methods enhance correlation quality |
Implement this integration through:
Experimental design consistency:
Use identical plant growth conditions across experiments
Sample at the same developmental stages
Apply consistent stress treatments when applicable
Data analysis workflow:
Normalize datasets appropriately for cross-platform comparison
Apply multivariate statistical methods (PCA, cluster analysis)
Use network analysis tools like Cytoscape to visualize relationships
Consider machine learning approaches to identify non-obvious patterns
Functional validation:
Test hypotheses generated from integrated analysis
Use genetic approaches (knockout/overexpression) to validate predictions
Employ pharmacological interventions when available
This systems biology approach can reveal functional insights about At4g17200 that might remain hidden when using any single technique.
Researchers working with the At4g17200 antibody may encounter several technical challenges. The following systematic approaches can help resolve common issues:
| Issue | Possible Causes | Recommended Solutions |
|---|---|---|
| No signal in Western blot | Protein degradation; Epitope destruction; Low expression | Add fresh protease inhibitors; Try different extraction buffer; Increase protein loading (50μg); Try different membrane type |
| High background | Insufficient blocking; Non-specific binding; Excessive antibody | Increase blocking time to 2 hours; Try different blocking agents (5% BSA vs. milk); Increase antibody dilution (1:2000-1:5000); Add 0.1-0.3% Tween-20 to wash buffer |
| Multiple bands | Cross-reactivity; Protein degradation; Post-translational modifications | Validate with controls; Include protease inhibitor cocktail; Run with phosphatase treatment to check for modifications |
| Weak signal | Low antibody affinity; Insufficient incubation; Poor transfer | Decrease antibody dilution; Extend incubation to 48h at 4°C; Optimize transfer conditions; Use enhanced chemiluminescence substrate |
| Inconsistent results | Variable sample preparation; Antibody degradation; Inconsistent blocking | Standardize extraction protocol; Aliquot antibody to avoid freeze-thaw cycles; Use automated systems when possible |
For particularly challenging applications, consider:
Using alternative detection methods (fluorescent vs. chemiluminescent)
Comparing different tissue types or developmental stages for optimal protein expression
Pre-adsorbing antibody with non-specific proteins to reduce background
Employing protein concentration techniques for low-abundance targets
Epitope accessibility significantly impacts antibody performance across different experimental conditions. For the At4g17200 antibody, consider these influencing factors:
Fixation effects:
Aldehyde fixatives can mask epitopes through protein cross-linking
Methanol fixation may better preserve certain epitopes by precipitating proteins without cross-linking
For critical applications, compare multiple fixation methods to determine optimal epitope preservation
Denaturation considerations:
If the antibody was raised against a linear peptide, it may function optimally in Western blots with denatured proteins
For applications requiring native protein recognition (immunoprecipitation), verify antibody performance with native protein preparations
Consider the antibody's recognition of conformational versus linear epitopes
Antigen retrieval methods for microscopy:
Heat-induced epitope retrieval (10mM sodium citrate buffer pH 6.0, 95°C for 15 minutes)
Enzymatic retrieval (proteinase K treatment, 20μg/ml for 10 minutes)
Test multiple methods in parallel to determine optimal epitope accessibility
Sample processing effects:
Buffer composition can affect protein conformation and epitope accessibility
For membrane-associated proteins, detergent selection is critical (compare 0.1% Triton X-100, 0.5% NP-40)
For nuclear proteins, ensure adequate nuclear membrane permeabilization (0.5% Triton X-100 for 15 minutes)
Post-translational modifications:
Phosphorylation, glycosylation, or other modifications may affect epitope recognition
When suspected, employ enzymatic treatments (phosphatases, glycosidases) before antibody application
Compare detection across different tissue types or conditions where modification states may vary
Systematic optimization of these parameters will maximize the utility of the At4g17200 antibody across diverse experimental applications.
The At4g17200 antibody offers valuable opportunities for investigating potential roles of the target protein in plant stress responses through multiple experimental approaches:
Expression profiling under stress conditions:
Quantify At4g17200 protein levels during abiotic stress exposure (drought, salinity, temperature extremes, nutrient deficiency)
Monitor expression during pathogen infection or herbivore attack
Compare protein regulation across multiple stress types to identify specific or general stress responses
Subcellular localization changes:
Track potential stress-induced relocalization using immunofluorescence microscopy
Compare control versus stressed samples to identify dynamic changes in protein localization
Correlate localization changes with onset of stress responses
Protein interaction network modulation:
Use co-immunoprecipitation under control and stress conditions to identify stress-specific protein interactions
Verify interactions with reciprocal pulldowns and in vitro binding assays
Map interaction networks to understand functional relationships
Post-translational modification analysis:
Immunoprecipitate At4g17200 protein from control and stressed tissues
Analyze via mass spectrometry for phosphorylation, ubiquitination, or other modifications
Correlate modifications with protein activity or localization changes
Since the function of At4g17200 remains uncharacterized, these approaches may provide the first insights into its biological role and significance in plant environmental adaptation.
Given the limited published research on the At4g17200 protein, several promising directions could expand antibody applications and contribute to understanding this uncharacterized protein:
Comprehensive expression atlas development:
Map protein expression across tissues, developmental stages, and environmental conditions
Create standardized antibody-based detection protocols optimized for different plant tissues
Develop quantitative Western blot standards for comparing expression levels
Functional genomics integration:
Generate tagged At4g17200 lines for dual antibody detection
Develop inducible knockdown/overexpression systems to manipulate protein levels
Correlate protein levels with phenotypic outcomes to infer function
Evolutionary conservation studies:
Test antibody cross-reactivity across plant species
Compare recognition patterns with bioinformatic predictions of epitope conservation
Investigate functional conservation of homologous proteins across species
Technical advancements:
Develop monoclonal antibodies against different epitopes of At4g17200
Create antibodies specific for potential post-translational modifications
Adapt super-resolution microscopy techniques for detailed localization studies
Applied research applications:
Investigate At4g17200 regulation in crop species under agricultural conditions
Explore potential biotechnological applications if stress-responsive properties are confirmed
Develop high-throughput screening methods incorporating the antibody for mutant analysis
These directions would address the current knowledge gap regarding At4g17200 function while establishing new methodological approaches for plant protein research.