The At3g05150 antibody targets the protein encoded by the At3g05150 gene in Arabidopsis thaliana. This antibody is typically developed as a polyclonal or monoclonal preparation that recognizes specific epitopes on this plant protein. When selecting an At3g05150 antibody for research purposes, it's critical to verify whether it has been raised against the whole protein or specific peptide sequences. Most commonly, these antibodies are produced in goat, rabbit, or mouse hosts and may be available as affinity-isolated antibody preparations in buffered aqueous glycerol solutions for optimal stability .
To maintain antibody functionality and prevent degradation, At3g05150 antibodies should be stored at 2-8°C for short-term use (up to one month) and at -20°C for long-term storage. Avoid repeated freeze-thaw cycles as these can dramatically reduce antibody efficacy through protein denaturation. Most commercial preparations come in glycerol-containing buffers (typically 50% glycerol) with preservatives like sodium azide (approximately 2.15 mM) to prevent microbial growth and maintain stability . When handling the antibody, always use sterile techniques and store aliquots in non-frost-free freezers to prevent temperature fluctuations.
Antibody validation requires multiple complementary approaches:
Western blot analysis: Run protein extracts from wild-type and At3g05150 knockout/knockdown plants to confirm the antibody detects a band of the expected molecular weight only in wild-type samples.
Immunoprecipitation: Perform IP experiments followed by mass spectrometry to identify all proteins pulled down by the antibody.
Cross-reactivity testing: Test reactivity against related plant species to determine specificity.
Blocking peptide experiments: Pre-incubate the antibody with the immunizing peptide before application to verify that specific binding is eliminated.
Signal localization: Compare immunofluorescence patterns with established subcellular localization data for the At3g05150 protein.
These validation steps are essential to prevent data misinterpretation due to antibody polyreactivity or polyspecificity, which has been observed in many therapeutic and research antibodies .
| Application | Recommended Dilution Range | Buffer System | Incubation Conditions |
|---|---|---|---|
| Western Blot | 1:1,000 - 1:5,000 | TBST with 5% non-fat milk | 1-2 hours at RT or overnight at 4°C |
| ELISA | 1:5,000 - 1:20,000 | PBS with 0.25% BSA | 1-2 hours at RT |
| Immunoprecipitation | 1:50 - 1:200 | Cell lysis buffer | Overnight at 4°C |
| Immunofluorescence | 1:100 - 1:500 | PBS with 1% BSA | Overnight at 4°C |
| ChIP | 1:50 - 1:100 | ChIP dilution buffer | Overnight at 4°C |
These dilutions should be optimized for each specific antibody lot and experimental system. For initial experiments, perform a dilution series to determine the optimal signal-to-noise ratio for your specific application. When using enzyme-conjugated secondary antibodies, similar optimization approaches should be employed - for example, alkaline phosphatase-conjugated secondary antibodies are typically used at 1:5,000-1:10,000 dilutions for Western blot applications .
For optimal At3g05150 protein extraction from plant tissues:
Tissue selection: Choose appropriate tissues where At3g05150 is expressed, based on transcriptomic data.
Extraction buffer optimization:
Start with a standard buffer (100 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% Triton X-100)
Add protease inhibitors (complete protease inhibitor cocktail)
Include reducing agents (5 mM DTT) if the protein contains disulfide bonds
For membrane-associated proteins, use stronger detergents (0.5% SDS or 1% sodium deoxycholate)
Mechanical disruption: Use liquid nitrogen grinding followed by brief sonication to ensure complete cell lysis while maintaining protein integrity.
Post-extraction processing:
Centrifuge at 12,000 × g for 10 minutes at 4°C
Collect supernatant and quantify protein concentration
Add SDS-PAGE loading buffer and heat at 95°C for 5 minutes (or 70°C for 10 minutes if protein is heat-sensitive)
This methodology improves extraction efficiency while minimizing protein degradation, which is particularly important for plant proteins that may have unique post-translational modifications or structural characteristics .
A robust immunoblotting experiment with At3g05150 antibody requires several controls:
Positive control: Protein extract from tissues known to express At3g05150 or recombinant At3g05150 protein
Negative controls:
Protein extract from At3g05150 knockout/knockdown plants
Pre-immune serum (for polyclonal antibodies)
Isotype control (for monoclonal antibodies)
Secondary antibody-only control to detect non-specific binding
Loading control: Probing for a housekeeping protein (e.g., actin, tubulin, or GAPDH) to normalize protein loading
Competition control: Pre-incubation of the antibody with excess immunizing peptide to verify signal specificity
Cross-reactivity assessment: Testing against protein extracts from related species or paralogs to evaluate specificity
Multiple bands in Western blots using At3g05150 antibody could result from several factors:
Post-translational modifications: The At3g05150 protein may undergo phosphorylation, glycosylation, or other modifications that alter its migration pattern.
Alternative splicing: The At3g05150 gene may produce multiple isoforms with different molecular weights.
Protein degradation: Incomplete protease inhibition during sample preparation can lead to degradation products.
Cross-reactivity: The antibody may recognize epitopes present in related proteins.
Non-specific binding: Particularly common with polyclonal antibodies or at low dilutions.
To address these issues:
Optimize protein extraction with complete protease inhibitor cocktails
Use freshly prepared samples
Increase antibody dilution to reduce non-specific binding
Perform peptide competition assays to confirm specificity
Validate with knockout/knockdown samples
Consider using different antibody clones that target distinct epitopes
Understanding the nature of additional bands requires careful validation experiments to distinguish between true isoforms and technical artifacts .
High background in immunofluorescence with At3g05150 antibody can be addressed through several optimization strategies:
Sample fixation optimization:
Test different fixatives (4% paraformaldehyde, methanol, or acetone)
Optimize fixation time (typically 10-20 minutes)
Ensure complete permeabilization with appropriate detergents (0.1-0.5% Triton X-100)
Blocking improvements:
Increase blocking agent concentration (5-10% normal serum from secondary antibody species)
Try alternative blocking agents (BSA, casein, or commercial blocking buffers)
Extend blocking time to 1-2 hours at room temperature
Antibody dilution optimization:
Test serial dilutions to find optimal concentration
Incubate primary antibody longer at lower concentrations (overnight at 4°C)
Add 0.1% Tween-20 to antibody diluent to reduce non-specific binding
Washing protocol enhancement:
Increase number of washes (5-6 times)
Extend wash durations (10 minutes each)
Use gentle agitation during washes
Autofluorescence reduction:
Pretreat samples with 0.1% sodium borohydride
Include 0.1-1% Sudan Black B in mounting medium to quench plant tissue autofluorescence
These approaches target different aspects of background generation and can be combined for optimal results in plant tissue immunofluorescence applications .
Decreased antibody reactivity over time typically results from:
Protein denaturation: Repeated freeze-thaw cycles disrupt antibody structure
Microbial contamination: Compromised sterility leads to protein degradation
Chemical degradation: Oxidation or hydrolysis of amino acid residues, particularly at elevated temperatures
Aggregation: Formation of antibody aggregates reduces effective concentration
Buffer issues: pH shifts or buffer component precipitation
Preventive measures include:
Storing as small aliquots to minimize freeze-thaw cycles
Adding sterile glycerol (final concentration 30-50%) for cryoprotection
Maintaining strict sterile technique during handling
Adding preservatives like sodium azide (0.02%) to prevent microbial growth
Storing at recommended temperatures (-20°C for long-term)
Monitoring storage conditions to prevent temperature fluctuations
If activity decreases, consider testing antibody concentration by absorbance at 280nm and performing a titration experiment to determine if higher concentrations restore function .
For successful ChIP experiments with At3g05150 antibody:
Crosslinking optimization:
Test different formaldehyde concentrations (1-3%) and incubation times (10-20 minutes)
Consider dual crosslinking with both formaldehyde and protein-specific crosslinkers for protein-DNA interactions
Chromatin fragmentation:
Optimize sonication conditions to generate fragments of 200-500 bp
Verify fragmentation efficiency by agarose gel electrophoresis
Immunoprecipitation strategy:
Pre-clear chromatin with protein A/G beads to reduce background
Use 2-5 μg antibody per ChIP reaction
Include IgG control and input samples for normalization
Incubate overnight at 4°C with rotation
Washing stringency:
Perform sequential washes with increasing stringency buffers
Monitor wash stringency to balance background reduction with signal preservation
Elution and reversal of crosslinks:
Elute complexes at 65°C in SDS-containing buffer
Reverse crosslinks overnight at 65°C
Treat with RNase A and Proteinase K
Analysis approaches:
Analyze by qPCR for known targets
Perform ChIP-seq for genome-wide binding profiling
This approach is particularly useful for determining if the At3g05150 protein interacts with chromatin, identifying DNA binding sites, and understanding its role in transcriptional regulation .
Co-immunoprecipitation (Co-IP) with At3g05150 antibody requires careful optimization:
Lysis buffer selection:
Use gentle, non-denaturing buffers (e.g., 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 0.5% NP-40)
Add protease and phosphatase inhibitors to preserve interactions
Consider including protein stabilizers like 5% glycerol
Pre-clearing optimization:
Pre-clear lysates with protein A/G beads to reduce non-specific binding
Include appropriate blocking proteins (BSA or non-immune serum)
Antibody immobilization methods:
Direct addition of antibody to lysate followed by protein A/G beads
Pre-coupling antibody to beads using chemical crosslinkers for improved specificity
Consider using commercially available immunoprecipitation kits optimized for plant proteins
Washing stringency balance:
Adjust salt concentration (150-500 mM) to maintain specific interactions
Optimize detergent concentration to reduce background
Perform 4-6 washes with progressively reduced detergent concentration
Elution strategies:
Gentle elution with excess immunizing peptide
pH elution (glycine buffer pH 2.8)
SDS elution for complete recovery
Analysis methods:
Western blot for known interacting partners
Mass spectrometry for unbiased identification of interaction network
Co-IP can reveal physiologically relevant protein interactions that help elucidate the functional role of At3g05150 in plant cellular processes .
To quantitatively assess At3g05150 protein expression across tissues:
Sample preparation standardization:
Develop consistent extraction protocols for different tissue types
Normalize protein content using Bradford or BCA assays
Prepare all samples simultaneously to minimize batch effects
Quantitative Western blot approach:
Include recombinant At3g05150 protein standard curve
Use fluorescent secondary antibodies for broader linear range
Capture images using systems with wide dynamic range (e.g., LI-COR Odyssey)
Normalize to multiple housekeeping proteins appropriate for the tissues being compared
ELISA methodology:
Develop sandwich ELISA with capture and detection antibodies
Generate standard curves using recombinant protein
Process all samples in the same assay to minimize inter-assay variation
Multiplexed protein analysis:
Consider automated capillary immunoassay systems (e.g., Wes, Jess)
Develop multiplexed assays to simultaneously quantify At3g05150 and normalizers
Mass spectrometry-based quantification:
Employ absolute quantification using synthetic peptide standards
Consider label-free or isotope-labeled quantification approaches
Monitor multiple unique peptides from At3g05150 protein
| Tissue Type | Recommended Extraction Method | Suggested Normalizers | Expected Challenges |
|---|---|---|---|
| Leaf | Tris-based buffer with 1% Triton X-100 | RbcL, Actin | High RuBisCO content may interfere |
| Root | RIPA buffer with 0.1% SDS | Tubulin, EF1α | Higher proteolytic activity |
| Stem | SDS buffer with mechanical disruption | Actin, GAPDH | Fibrous tissue may reduce extraction efficiency |
| Flower | Gentle NP-40 buffer | Actin, Histone H3 | Tissue heterogeneity |
| Silique | Urea-based buffer | EF1α, UBQ10 | High lipid content may interfere |
This comprehensive approach enables reliable quantification across diverse tissue types with appropriate normalization strategies .
Discrepancies between protein detection and transcript levels are common and may reflect important biological phenomena:
Post-transcriptional regulation:
mRNA stability differences affect the correlation between transcript and protein levels
miRNA-mediated repression may reduce protein without affecting transcript
Alternative splicing may produce transcripts that the antibody cannot detect
Post-translational regulation:
Protein degradation rates influence steady-state protein levels
Modifications may mask epitopes recognized by the antibody
Protein localization changes may affect extraction efficiency
Technical considerations:
Antibody may recognize specific protein conformations or modifications
Extraction protocols may not efficiently isolate certain protein populations
Sensitivity differences between transcript and protein detection methods
To resolve these discrepancies:
Perform time-course experiments to identify temporal relationships
Use multiple antibodies targeting different epitopes
Employ protein synthesis/degradation inhibitors to assess protein turnover
Consider proteasome inhibitor treatments to evaluate degradation contribution
Examine subcellular fractions separately
Compare results with complementary approaches like GFP-fusion proteins
Understanding these discrepancies often reveals important regulatory mechanisms controlling protein abundance independently of transcription .
Antibody polyreactivity can significantly impact experimental interpretation:
Sources of polyreactivity:
Conformational flexibility in antibody paratopes allowing diverse target binding
Charge-based interactions, particularly with highly charged proteins
Hydrophobic interactions, especially at higher antibody concentrations
Cross-reactivity with structurally homologous proteins
Impact on experimental outcomes:
False positive signals in immunoassays
Misleading localization in imaging studies
Erroneous identification of interaction partners
Batch-to-batch variability in antibody performance
Assessment strategies:
Test antibody binding to unrelated proteins (BSA, KLH, etc.)
Perform competitive binding assays
Evaluate binding under different salt/pH conditions
Compare results from multiple antibody sources/clones
Validate key findings with orthogonal methods
Risk mitigation approaches:
Use more stringent washing conditions
Increase blocking stringency
Pre-adsorb antibodies with potential cross-reactants
Optimize antibody concentration to minimize non-specific binding
Validate with genetic controls (knockout/knockdown)
Recent studies have found that antibody polyreactivity is more common than previously recognized and represents a significant challenge for result interpretation, especially in complex biological systems like plant tissues .
Emerging technologies offering advantages for At3g05150 protein research include:
Proximity labeling approaches:
BioID or TurboID fusion proteins to identify physiological interaction partners
APEX2 for spatially resolved protein interaction mapping
Implementation allows in vivo identification of transient interactions
Single-molecule imaging:
Super-resolution microscopy (PALM, STORM) for detailed localization studies
Single-particle tracking to analyze protein dynamics
Enables visualization of protein behavior in living plant cells
Advanced proteomics:
Targeted proteomics (PRM/MRM) for absolute quantification without antibodies
Crosslinking mass spectrometry (XL-MS) for structural interaction studies
Thermal proteome profiling to assess protein stability and interactions
CRISPR-based approaches:
Endogenous tagging for visualizing native protein
CUT&Tag for improved chromatin interaction mapping over traditional ChIP
Base editing for introducing specific mutations to study structure-function relationships
Nanobody technology:
Development of plant-specific nanobodies for improved specificity
Intrabodies for tracking and manipulating proteins in living cells
Reduced background compared to conventional antibodies
These methodologies can complement or, in some cases, replace traditional antibody-based approaches, offering higher specificity, better spatial/temporal resolution, and more quantitative results for plant protein research .