KEGG: ath:AT1G28600
UniGene: At.16399
At1g28600 refers to a specific gene in Arabidopsis thaliana (Mouse-ear cress) following the standard Arabidopsis genome annotation nomenclature. The "At" indicates Arabidopsis thaliana, "1" refers to chromosome 1, and "g28600" indicates it is the 28,600th gene on that chromosome. The protein encoded by this gene is identified in the UniProt database as Q94F40, though its specific biological functions require further characterization. Understanding this protein's expression patterns and localization is crucial for plant molecular biology research, particularly in studies of Arabidopsis development and stress responses. The antibody against this protein serves as a valuable tool for investigating its expression, localization, and potential interactions in the plant system .
At1g28600 antibody requires careful storage and handling to maintain its integrity and functionality. Upon receipt, the antibody should be stored at either -20°C or -80°C. It is particularly important to avoid repeated freeze-thaw cycles, as these can significantly degrade antibody quality and reduce binding efficacy. The antibody is supplied in liquid form with a specific storage buffer composition of 50% Glycerol, 0.01M PBS at pH 7.4, with 0.03% Proclin 300 as a preservative . When working with the antibody, standard protein handling protocols should be followed, including using sterile, nuclease-free tubes and filtered pipette tips. For long-term storage stability, it is recommended to aliquot the antibody into smaller volumes before freezing to minimize the number of freeze-thaw cycles. Working on ice during experimental procedures will help maintain antibody stability and activity .
According to the product information, At1g28600 antibody has been specifically validated for two primary applications: Enzyme-Linked Immunosorbent Assay (ELISA) and Western Blot (WB) . These validated applications make the antibody suitable for both qualitative and quantitative protein analysis. In Western blot applications, the antibody allows researchers to detect the presence and molecular weight of At1g28600 protein in plant extracts, enabling comparisons of expression levels across different tissues, developmental stages, or experimental conditions. For ELISA applications, the antibody provides more precise quantitative measurements of At1g28600 protein levels, allowing for high-throughput analysis and sensitive detection even with small sample volumes. While these are the manufacturer-validated applications, researchers might also consider testing the antibody for other applications such as immunoprecipitation, immunohistochemistry, or immunofluorescence, though these would require additional validation .
The At1g28600 antibody described in the product information is a polyclonal antibody raised in rabbits . Understanding the differences between polyclonal and monoclonal antibodies is important for selecting the appropriate reagent for specific research applications:
| Characteristic | Polyclonal At1g28600 Antibody | Monoclonal At1g28600 Antibody |
|---|---|---|
| Source | Multiple B-cell clones in immunized rabbit | Single B-cell clone |
| Epitope recognition | Multiple epitopes on At1g28600 | Single epitope |
| Production method | Animal immunization and serum collection | Hybridoma technology |
| Sensitivity | Generally higher due to multiple binding sites | Generally lower but more specific |
| Batch-to-batch variation | Moderate to high | Minimal |
| Resistance to antigen changes | More robust against denaturation | More sensitive to epitope alteration |
| Best applications | Western blot, ELISA, applications requiring high sensitivity | Applications requiring high specificity |
Comprehensive validation of At1g28600 antibody specificity is essential for producing reliable research results. A multi-faceted approach should be implemented:
Genetic Controls: The most definitive validation approach involves comparing antibody signals between wild-type Arabidopsis and At1g28600 knockout/knockdown lines. A specific antibody should show significantly reduced or absent signal in genetic lines where the target protein is absent or reduced . This approach provides strong evidence that the antibody is truly detecting the intended target.
Molecular Weight Verification: The detected protein band should match the predicted molecular weight of At1g28600. Significant deviations might indicate cross-reactivity or post-translational modifications.
Peptide Competition Assay: Pre-incubating the antibody with excess purified At1g28600 protein or the immunizing peptide should substantially reduce specific signals in subsequent assays. This test confirms that the antibody is binding to the intended epitope rather than interacting non-specifically.
Orthogonal Detection Methods: Comparing antibody-based detection with independent methods such as mass spectrometry or fluorescently tagged proteins provides additional confidence in specificity.
Validation Scoring System:
| Validation Method | Criteria | Implementation Notes |
|---|---|---|
| Genetic validation | Signal absence in knockout lines | Essential control for definitive validation |
| Western blot analysis | Band at expected molecular weight | Use high-quality molecular weight markers |
| Peptide competition | >80% signal reduction with specific peptide | Include non-specific peptide control |
| Cross-application testing | Consistent results across applications | Test in multiple validated applications |
| Titration experiments | Linear signal response to protein amount | Demonstrates quantitative reliability |
These validation approaches should be documented and reported in research publications to enable proper evaluation of experimental results and reproducibility .
The At1g28600 antibody can serve as a valuable tool for investigating protein-protein interactions through several methodological approaches:
Co-Immunoprecipitation (Co-IP): This is the most direct application, where At1g28600 antibody is used to pull down the target protein along with its interacting partners from plant lysates. The protocol involves:
Preparing plant lysates under non-denaturing conditions to preserve protein complexes
Incubating with At1g28600 antibody to form antibody-protein complexes
Capturing these complexes using Protein A or G beads
Washing to remove non-specifically bound proteins
Eluting and analyzing the captured proteins by mass spectrometry or Western blot
Proximity Ligation Assay (PLA): This technique allows visualization of protein interactions in situ with high sensitivity. It requires the At1g28600 antibody to be used alongside antibodies against potential interacting partners. When the proteins are in close proximity (within 40 nm), a signal is generated, providing spatial information about the interaction within the cell.
Pull-down Validation: After identifying candidate interacting proteins through proteomic approaches, the At1g28600 antibody can be used in Western blot analysis to confirm the presence of specific partners in immunoprecipitated complexes .
Reciprocal Verification: For confident identification of interaction partners, reciprocal co-IPs should be performed where antibodies against the potential interacting proteins are used to confirm the presence of At1g28600 in the pulled-down complexes.
When conducting these experiments, researchers must include appropriate controls:
IgG control immunoprecipitations to identify non-specific binding
Input samples to confirm the presence of proteins in the starting material
Validation in At1g28600 knockout/knockdown lines when available
Competing peptide controls to demonstrate specificity of interactions
These methodological approaches can provide valuable insights into the functional relationships of At1g28600 with other proteins in plant cellular processes .
While the At1g28600 antibody has been validated for ELISA and Western blot applications , researchers may wish to adapt it for imaging techniques to study protein localization. This adaptation requires careful optimization and validation:
Fixation Optimization: The fixation method significantly impacts epitope preservation and antibody accessibility. A comparison of different fixation protocols is recommended:
| Fixation Method | Advantages | Limitations | Best For |
|---|---|---|---|
| Paraformaldehyde (4%) | Good morphology preservation | Can mask some epitopes | General localization studies |
| Methanol | Better for some protein epitopes | Can distort membranes | Nuclear proteins |
| Glutaraldehyde | Excellent ultrastructure | Strong autofluorescence | Electron microscopy |
Permeabilization: Optimization of detergent type and concentration is crucial for antibody access while preserving cellular structures. Typical options include Triton X-100 (0.1-0.5%), Tween-20 (0.05-0.2%), or saponin (0.1-0.5%) for membrane permeabilization.
Antibody Dilution: Starting with a higher concentration (1:50 to 1:100) than used for Western blotting is typically recommended, with subsequent optimization based on signal-to-noise ratio.
Signal Amplification: For low-abundance proteins, consider using signal amplification systems such as tyramide signal amplification or quantum dots for enhanced sensitivity.
Validation Controls:
Negative controls: Primary antibody omission and staining in At1g28600 knockout lines
Competitive inhibition: Pre-absorption with immunizing peptide
Positive controls: Co-localization with known organelle markers
Advanced Imaging Approaches:
Researchers should systematically optimize and validate each step when adapting the At1g28600 antibody for imaging applications, documenting the optimization process for reproducibility.
When using the At1g28600 antibody in species other than Arabidopsis thaliana, researchers must address potential cross-reactivity challenges through systematic validation and optimization:
Sequence Homology Analysis: Before experimental testing, perform bioinformatic analysis comparing At1g28600 sequences between Arabidopsis and the target species. Higher sequence similarity in the regions containing the epitopes increases the likelihood of successful cross-reactivity.
Cross-Reactivity Probability Assessment:
| Taxonomic Relationship | Cross-Reactivity Likelihood | Validation Requirements |
|---|---|---|
| Brassicaceae family | Moderate to High | Basic validation recommended |
| Other dicot plants | Low to Moderate | Extensive validation required |
| Monocot plants | Very Low | Comprehensive controls essential |
| Non-plant organisms | Extremely Low | Not recommended without extensive testing |
Western Blot Validation: The most direct approach to test cross-reactivity involves performing Western blot analysis on protein extracts from both Arabidopsis (positive control) and the target species. Compare band patterns, molecular weights, and signal intensities to assess specificity.
Peptide Competition: Perform peptide competition assays with the immunizing peptide to confirm that any observed signals in the non-Arabidopsis species are due to specific binding rather than cross-reactivity with unrelated proteins.
Immunoprecipitation-Mass Spectrometry: For definitive identification, immunoprecipitate the protein from the non-Arabidopsis species and analyze by mass spectrometry to confirm its identity as the true ortholog of At1g28600.
Antibody Dilution Optimization: Cross-reactive antibodies often require different working dilutions in different species. Perform titration experiments to identify the optimal antibody concentration that maximizes specific signal while minimizing background .
Extraction Buffer Adaptation: Modify protein extraction protocols to account for species-specific differences in tissue composition, such as adjusting detergent concentrations or adding compounds to remove interfering molecules like phenolics or polysaccharides.
These approaches help researchers determine whether the At1g28600 antibody can be reliably used in non-Arabidopsis species and establish the appropriate experimental conditions for such applications.
The choice of immunogen used to generate an antibody significantly impacts its performance characteristics and application suitability. For the At1g28600 antibody, a recombinant Arabidopsis thaliana At1g28600 protein was used as the immunogen . This selection has important implications:
Immunogen Type Comparison:
Epitope Accessibility: The use of a full recombinant protein as immunogen likely generated antibodies recognizing multiple epitopes across the protein, some of which may be more accessible in native versus denatured states. This affects application suitability, with some epitopes being more accessible in Western blot (denatured proteins) versus immunoprecipitation (native proteins).
Post-Translational Modifications (PTMs): Standard recombinant protein production in bacterial systems does not incorporate PTMs that may be present in plant-expressed At1g28600. If the protein undergoes significant post-translational modification in plants, the antibody may show differential recognition of modified versus unmodified forms.
Production System Effects: The recombinant protein immunogen was likely produced in a bacterial expression system, which can affect protein folding compared to the native plant protein. This may impact antibody recognition of conformational epitopes.
Antigen Affinity Purification: The At1g28600 antibody underwent antigen affinity purification , which enhances specificity by selecting only those antibody molecules that bind to the target protein. This purification method generally improves performance compared to crude serum or protein A/G purification alone.
Understanding these immunogen-related factors helps researchers interpret experimental results and troubleshoot potential issues when working with the At1g28600 antibody .
Based on the antibody characteristics and general best practices for plant protein analysis, the following optimized Western blot protocol is recommended for At1g28600 detection:
Sample Preparation:
Harvest and flash-freeze Arabidopsis tissue in liquid nitrogen
Grind to a fine powder using mortar and pestle
Extract proteins using extraction buffer (50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% Triton X-100, 5 mM EDTA, 1 mM DTT, protease inhibitor cocktail)
Centrifuge at 14,000 × g for 15 minutes at 4°C
Collect supernatant and determine protein concentration
Gel Electrophoresis and Transfer:
Load 20-40 μg total protein per lane alongside molecular weight markers
Separate proteins on 10-12% SDS-PAGE gel
Transfer to PVDF membrane (0.45 μm) using wet transfer system (25 mM Tris, 192 mM glycine, 20% methanol)
Transfer at 100V for 1 hour or 30V overnight at 4°C
Verify transfer efficiency with reversible staining (Ponceau S)
Immunodetection:
Block membrane with 5% non-fat dry milk in TBST (TBS + 0.1% Tween-20) for 1 hour at room temperature
Dilute At1g28600 antibody 1:1000 in blocking solution
Incubate membrane with primary antibody overnight at 4°C with gentle rocking
Wash membrane 3 × 10 minutes with TBST
Incubate with HRP-conjugated anti-rabbit secondary antibody (1:5000) for 1 hour at room temperature
Wash membrane 3 × 10 minutes with TBST
Apply ECL substrate and detect signal using appropriate imaging system
Critical Optimization Parameters:
| Parameter | Initial Setting | Troubleshooting Options |
|---|---|---|
| Antibody Dilution | 1:1000 | Adjust between 1:500-1:2000 based on signal strength |
| Blocking Agent | 5% milk in TBST | Try 3% BSA if background is high |
| Incubation Time | Overnight at 4°C | Extend for weak signals or reduce for strong signals |
| Washing Stringency | 3 × 10 min TBST | Increase number/duration of washes for high background |
| Exposure Time | Start with 30 seconds | Adjust from 5 seconds to 5 minutes as needed |
Essential Controls:
Positive control: Wild-type Arabidopsis tissue known to express At1g28600
Negative control: If available, include At1g28600 knockout/knockdown tissue
Loading control: Detect a constitutively expressed protein (e.g., actin, tubulin, GAPDH) to normalize loading
This protocol should be optimized based on specific laboratory conditions and sample characteristics .
Effective detection of At1g28600 in plant tissues requires optimized sample preparation protocols that preserve protein integrity while minimizing interfering compounds. The following comprehensive approach maximizes detection sensitivity:
Tissue Selection and Harvesting:
Identify tissues with optimal At1g28600 expression (if known)
Harvest at appropriate developmental stage
Collect samples at consistent times to account for potential circadian regulation
Flash-freeze immediately in liquid nitrogen
Store at -80°C until processing if immediate extraction is not possible
Extraction Buffer Optimization:
Different extraction buffers can significantly impact protein recovery and quality:
| Buffer Type | Composition | Best For | Notes |
|---|---|---|---|
| Standard | 50 mM Tris pH 7.5, 150 mM NaCl, 1% Triton X-100, 5 mM EDTA, 1 mM DTT, protease inhibitors | General extraction | Good starting point for most applications |
| Denaturing | 50 mM Tris pH 7.5, 150 mM NaCl, 1% SDS, 5 mM DTT, 1 mM EDTA, protease inhibitors | Maximum protein recovery | Not suitable for native applications |
| Membrane-optimized | 50 mM Tris pH 7.5, 150 mM NaCl, 1% Triton X-100, 0.5% sodium deoxycholate, 0.1% SDS, protease inhibitors | Membrane-associated proteins | Enhanced recovery of membrane proteins |
| Plant-optimized | Standard buffer + 2% PVPP, 5% glycerol, 10 mM β-mercaptoethanol | Recalcitrant plant tissues | Removes phenolics and other inhibitors |
Critical Additives:
Protease inhibitor cocktail (complete, EDTA-free) - essential for all extractions
Phosphatase inhibitors (if phosphorylation status is important)
PVPP (2%) to remove phenolic compounds in plant tissues
DTT or β-mercaptoethanol as reducing agents
EDTA (1-5 mM) to inhibit metalloproteases
Tissue Disruption Methods:
Mortar and pestle with liquid nitrogen: Thorough but labor-intensive
Bead mill homogenizer: Efficient for multiple samples
Avoid excessive heat generation during homogenization
Protein Concentration and Clean-up:
TCA/acetone precipitation: Removes interfering compounds and concentrates proteins
Add 4 volumes of ice-cold 10% TCA in acetone to sample
Incubate at -20°C for 1 hour to overnight
Centrifuge at 14,000 × g for 15 minutes at 4°C
Wash pellet with ice-cold acetone
Resuspend in appropriate buffer
Protein concentration determination:
Use Bradford or BCA assay compatible with your buffer components
Prepare standard curves in the same buffer as samples
Sample Storage Recommendations:
Add 1× Laemmli buffer to prepared samples for Western blot
Heat at 95°C for 5 minutes (adjust based on protein characteristics)
Store at -20°C for short term or -80°C for long term
Avoid repeated freeze-thaw cycles by preparing single-use aliquots
These optimized sample preparation methods will maximize the likelihood of successful At1g28600 detection while minimizing background and potential artifacts.
Immunoprecipitation (IP) experiments with At1g28600 antibody require rigorous controls to ensure specificity and reliability. The following comprehensive set of controls should be included:
Essential Controls for At1g28600 Immunoprecipitation:
Input Sample Control:
Reserve 5-10% of pre-IP lysate
Run alongside IP samples in Western blot
Verifies presence of target protein in starting material
Allows calculation of IP efficiency
Negative Control Antibody:
Genetic Controls:
Include samples from At1g28600 knockout/knockdown lines if available
Should show reduced/absent signal compared to wild-type
Provides strong evidence for antibody specificity
Essential for validating novel interactions
Bead-Only Control:
Incubate lysate with beads without antibody
Identifies proteins binding non-specifically to matrix
Particularly important when studying new protein interactions
Peptide Competition Control:
Pre-incubate antibody with excess immunizing peptide/protein
Compare with standard IP
Specific signals should be substantially reduced
Control Implementation Matrix:
| Control Type | Implementation | Expected Result | Troubleshooting if Failed |
|---|---|---|---|
| Input sample | 5-10% of starting lysate | At1g28600 band at expected MW | Optimize extraction or increase starting material |
| Non-specific IgG | Same amount as At1g28600 antibody | No/minimal At1g28600 band | Increase washing stringency |
| Genetic knockout | At1g28600 mutant tissue | No/minimal At1g28600 band | Verify knockout efficiency |
| Beads only | Standard IP without antibody | No/minimal At1g28600 band | Use different bead type or blocking protocol |
| Peptide competition | Pre-incubate with immunogen | Reduced At1g28600 band | Increase peptide concentration or optimize protocol |
Additional Advanced Controls:
Reciprocal IP:
If studying interaction partners, perform reverse IP with antibody against the partner
Confirms interaction is detectable in both directions
Strengthens evidence for genuine interaction
Stringency Gradient:
Perform parallel IPs with increasing salt or detergent concentrations
Helps distinguish strong specific interactions from weak non-specific binding
True interactors persist under higher stringency conditions
Crosslinking Control:
If using crosslinking, include non-crosslinked samples
Distinguishes direct from indirect interactions
Helps identify transient interactions
By implementing these controls, researchers can confidently distinguish genuine At1g28600 interactions from experimental artifacts, ensuring robust and reproducible results in protein interaction studies .
Optimal dilution of At1g28600 antibody varies by application, sample type, and detection method. The following recommendations provide starting points for method optimization based on typical polyclonal antibody performance and the product specifications :
Recommended Dilution Ranges by Application:
| Application | Starting Dilution | Optimization Range | Critical Factors |
|---|---|---|---|
| Western Blot | 1:1000 | 1:500 to 1:5000 | Protein amount, detection method |
| ELISA | 1:5000 | 1:1000 to 1:20000 | Coating concentration, substrate sensitivity |
| Immunoprecipitation | 2-5 μg per mg lysate | 1-10 μg per reaction | Protein abundance, binding affinity |
| Immunohistochemistry* | 1:100 | 1:50 to 1:500 | Fixation method, tissue type |
| Immunofluorescence* | 1:100 | 1:50 to 1:500 | Fixation protocol, detection system |
*Applications requiring additional validation as they are not listed in the tested applications
Dilution Optimization Strategy:
Initial Assessment:
Begin with the manufacturer's recommended dilution or the starting dilution above
Include positive control (wild-type Arabidopsis)
Include negative control (At1g28600 knockout if available or primary antibody omission)
Titration Series:
Prepare 3-5 different dilutions spanning the recommended range
Keep all other experimental conditions constant
Example Western blot titration: 1:500, 1:1000, 1:2000, 1:5000
Evaluate signal-to-noise ratio at each dilution
Optimization Parameters by Application:
For Western Blot:
If signal is too strong: Increase antibody dilution or reduce protein loading
If signal is too weak: Decrease antibody dilution, increase protein loading, or extend exposure time
If background is high: Increase antibody dilution, optimize blocking, or increase washing stringency
For ELISA:
Create a standard curve with known concentrations of recombinant protein
Test multiple antibody dilutions to determine the linear range of detection
Optimize blocking agent (BSA vs. milk) to minimize background
For Immunoprecipitation:
Adjust antibody amount based on target protein abundance
Optimal ratio typically 2-5 μg antibody per mg of total protein
Include detergent optimization to reduce non-specific binding
Application-Specific Considerations:
For Western blot: Detection method (ECL vs. fluorescent) affects optimal dilution
For ELISA: Plate type and coating conditions influence sensitivity
For microscopy: Fixation method significantly impacts epitope accessibility and optimal dilution
These recommendations should be considered starting points, with optimal conditions determined empirically for each specific experimental system and sample type .
When working with At1g28600 antibody, researchers may encounter various technical challenges. The following troubleshooting guide addresses common issues and their solutions:
Western Blot Troubleshooting:
| Issue | Potential Causes | Solutions |
|---|---|---|
| No signal | Insufficient protein, degraded antibody, inefficient transfer | Increase protein loading, verify antibody activity with positive control, optimize transfer conditions |
| Weak signal | Low protein expression, suboptimal antibody dilution, inefficient detection | Increase protein amount, reduce antibody dilution, enhance detection system sensitivity |
| High background | Insufficient blocking, antibody concentration too high, inadequate washing | Optimize blocking conditions, increase antibody dilution, extend washing steps |
| Multiple bands | Cross-reactivity, protein degradation, post-translational modifications | Verify with knockout controls, add protease inhibitors, use peptide competition assay |
| Unexpected band size | Post-translational modifications, alternative splicing, proteolytic processing | Verify with recombinant protein control, use denaturing conditions, analyze with mass spectrometry |
ELISA Troubleshooting:
| Issue | Potential Causes | Solutions |
|---|---|---|
| Poor sensitivity | Suboptimal antibody concentration, inefficient antigen binding | Optimize antibody concentration, improve coating conditions |
| High background | Inadequate blocking, cross-reactivity | Optimize blocking agent (BSA vs. milk), increase washing stringency |
| Poor reproducibility | Inconsistent technique, temperature variations | Standardize protocols, maintain consistent temperature |
Immunoprecipitation Troubleshooting:
| Issue | Potential Causes | Solutions |
|---|---|---|
| Low IP efficiency | Insufficient antibody, poor antibody-bead binding, harsh wash conditions | Increase antibody amount, extend incubation time, optimize wash buffer composition |
| Co-IP fails to detect interactions | Transient interactions, buffer disrupts complexes | Consider crosslinking, use gentler lysis conditions, optimize detergent concentration |
| High background in co-IP | Insufficient washing, non-specific binding | Increase wash stringency, pre-clear lysate, use appropriate negative controls |
Step-by-Step Optimization Process:
Systematic Parameter Variation:
Change only one variable at a time
Document all modifications and results
Create a decision tree based on outcomes
Signal Enhancement Strategies:
For weak signals: Enhance detection system (sensitive ECL substrate, signal amplification)
For low abundance proteins: Concentrate samples through immunoprecipitation
For masked epitopes: Test different extraction and denaturation conditions
Specificity Confirmation:
Peptide competition assay
Testing in knockout/knockdown lines
Comparing multiple antibodies against the same target
Application-Specific Optimization:
Western blot: Optimize transfer time and membrane type (PVDF vs. nitrocellulose)
ELISA: Test different plate types and coating buffers
IP: Compare different bead types (Protein A vs. G) and elution conditions
By implementing these troubleshooting strategies, researchers can overcome technical challenges and generate reliable, reproducible data with the At1g28600 antibody across various experimental applications .