Antibodies are Y-shaped proteins comprising two heavy chains and two light chains, connected by disulfide bonds. Their variable regions (V_H and V_L) contain paratopes that bind specific epitopes on antigens, enabling neutralization, agglutination, or opsonization . The Fc region interacts with immune effector cells, such as macrophages, to amplify responses .
For At1g36730 Antibody, the target antigen would be the protein encoded by the At1g36730 gene. This gene, based on Arabidopsis genome annotations, encodes a phosphatase 2C-like protein involved in stress signaling pathways . Antibodies targeting this protein would likely disrupt its enzymatic activity or modulate downstream signaling.
The development of At1g36730 Antibody would follow standard protocols for antibody production:
Antibodies targeting stress-related proteins like At1g36730 could serve as tools for:
Functional studies: Investigating phosphatase activity in abiotic stress responses (e.g., drought, salinity) .
Therapeutic modulation: Inhibiting stress signaling to enhance crop resilience .
Biosensors: Detecting protein levels in plant tissues to monitor stress conditions .
Validation would involve:
Western blotting: Confirming specificity for At1g36730 protein (expected molecular weight ~35 kDa) .
Immunolocalization: Visualizing subcellular localization (likely cytosolic or nuclear) .
Enzyme-linked immunosorbent assay (ELISA): Quantifying protein levels in plant extracts .
Cross-reactivity: Potential binding to homologous phosphatases in other plant species .
Stability: Antibody performance may vary under different stress conditions .
Cost: Monoclonal antibodies are resource-intensive compared to polyclonal alternatives .
| Type | Advantages | Disadvantages |
|---|---|---|
| Monoclonal | High specificity, reproducibility | Expensive, complex production |
| Polyclonal | Broader epitope coverage, cost-effective | Lower specificity, batch-to-batch variability |
At1g36730 is a protein encoded by the At1g36730 gene in Arabidopsis thaliana, an important model organism in plant biology. While the specific function information is limited in the provided resources, researchers typically study such proteins to understand plant cellular functions, developmental processes, and stress responses. This protein may be involved in critical pathways that contribute to plant growth regulation, environmental adaptation, or other essential cellular processes. Studying it requires specific antibodies for detection and characterization in experimental systems .
The At1g36730 antibody has been validated for ELISA (Enzyme-Linked Immunosorbent Assay) and Western Blot (WB) applications. These techniques allow researchers to detect and quantify the presence of the target protein in various sample preparations. The antibody is specifically designed to ensure identification of the antigen in these experimental contexts. Additional applications may be possible but would require further validation by the researcher to confirm specificity and sensitivity in those experimental systems .
The At1g36730 antibody should be stored at -20°C or -80°C upon receipt. It's critical to avoid repeated freeze-thaw cycles as these can degrade the antibody and reduce its effectiveness. The antibody is provided in a storage buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative. Proper storage is essential for maintaining antibody performance across experiments and ensuring reproducible results in your research applications .
Optimizing Western blot protocols for At1g36730 detection requires careful consideration of several parameters:
Sample preparation: Extract proteins from Arabidopsis tissues using buffers containing protease inhibitors to prevent degradation. Consider comparing different extraction methods (e.g., mechanical disruption, chemical lysis) to determine optimal protein yield.
Protein loading: Load 4-10 μg of total protein per well, based on protocols established for similar plant antibodies. This range allows for detection while minimizing background signal .
Blocking conditions: Use 5% milk or BSA in TBS-T for 1 hour at room temperature to reduce non-specific binding .
Antibody dilution: Start with a 1:5000 dilution for Western blot applications, adjusting as needed based on signal strength and background levels .
Detection method: Both chemiluminescent and colorimetric detection systems are compatible, with exposure times typically ranging from 15 seconds to several minutes depending on protein abundance .
When using the At1g36730 antibody for the first time, include the following controls to validate specificity and reliability:
Positive control: Include samples known to express At1g36730 protein, such as wild-type Arabidopsis thaliana leaf extracts.
Negative control: Use either:
Samples from knockout/knockdown lines lacking At1g36730 expression
Samples from tissues known not to express the target protein
Pre-immune serum or secondary antibody-only controls to assess non-specific binding
Loading control: Include detection of a constitutively expressed protein (such as actin) to normalize for loading variations between samples. Actin antibodies like the monoclonal clone mAbGPa 10-B3 (AS16 3141) provide reliable loading controls in plant samples .
Molecular weight verification: Include a molecular weight marker to confirm the detected band appears at the expected size.
For co-localization studies combining At1g36730 antibody with other antibodies:
Select compatible antibodies: Choose secondary antibodies with non-overlapping fluorophores if performing immunofluorescence. Ensure primary antibodies are raised in different host species (e.g., rabbit anti-At1g36730 with mouse anti-actin) to prevent cross-reactivity .
Sequential probing protocol:
For Western blots: Strip and reprobe membranes between applications, or use differently colored detection systems
For immunohistochemistry: Apply primary antibodies sequentially with thorough washing steps, or simultaneously if they're from different host species
Cross-reactivity testing: Prior to combined experiments, test each antibody individually to establish baseline signals and confirm no unexpected cross-reactivity occurs.
Data integration: Collect and analyze signals from multiple channels, using appropriate controls to account for potential bleed-through or non-specific binding .
Common causes of background noise and their solutions include:
| Problem Source | Mitigation Strategy |
|---|---|
| Non-specific binding | Increase blocking concentration (5-10% milk/BSA); optimize antibody dilution (start with 1:5000); add 0.1-0.5% Tween-20 to washing buffer |
| Insufficient washing | Extend washing times (3-5 washes of 10 minutes each); increase buffer volume; use gentle agitation |
| Cross-reactivity | Pre-absorb antibody with non-target proteins; use more stringent washing conditions; validate specificity with knockout controls |
| Protein overloading | Reduce total protein amount loaded (start with 4-10 μg and adjust as needed) |
| Detection system sensitivity | Adjust exposure time; consider alternative detection methods; optimize secondary antibody concentration |
Optimizing each of these parameters systematically can significantly improve signal-to-noise ratio in your experiments .
When facing inconsistent results across different plant tissues:
Evaluate protein expression levels: At1g36730 may be differentially expressed across tissues, leading to variable signal intensities. Consider using RT-PCR to correlate protein detection with mRNA expression.
Assess extraction efficiency: Different plant tissues require optimized protein extraction protocols. Compare multiple extraction methods and buffers to ensure efficient protein recovery from recalcitrant tissues.
Adjust detection parameters: More abundant proteins may require higher antibody dilutions (1:10000) while less abundant proteins might need more concentrated antibody solutions (1:1000).
Consider post-translational modifications: The protein may undergo tissue-specific modifications affecting antibody recognition. Verify with additional antibodies targeting different epitopes when available.
Validate with complementary techniques: Combine Western blotting with immunoprecipitation, mass spectrometry, or immunohistochemistry to build a more complete picture of protein expression patterns .
For rigorous quantification of At1g36730 protein levels:
Replication requirements: Include at least three biological replicates and two technical replicates per condition.
Normalization strategies:
Quantification methods:
Use densitometry software (ImageJ, Image Lab) to measure band intensities
Apply background subtraction consistently across all samples
Generate standard curves when absolute quantification is required
Statistical analysis:
Apply appropriate statistical tests (t-test, ANOVA) based on experimental design
Use non-parametric tests when normality cannot be assumed
Report effect sizes alongside p-values for comprehensive interpretation
Data presentation: Present normalized data with error bars representing standard deviation or standard error, clearly indicating sample size and statistical significance.
Adapting the At1g36730 antibody for ChIP applications requires:
Cross-linking optimization: Test different formaldehyde concentrations (0.75-1.5%) and incubation times (10-20 minutes) to preserve protein-DNA interactions without overfixing.
Antibody validation: Confirm the antibody can recognize its native epitope in fixed conditions through pilot immunoprecipitation experiments.
Protocol adjustments:
Increase antibody concentration (typically 2-5 μg per immunoprecipitation)
Extend incubation times (overnight at 4°C with rotation)
Optimize washing stringency to balance specificity with yield
Controls:
Include input controls (pre-immunoprecipitation chromatin)
Perform mock immunoprecipitations (no antibody or with pre-immune serum)
Use positive control antibodies (e.g., histone H3) in parallel experiments
Data analysis: Apply appropriate normalization to input DNA and negative controls when quantifying enrichment by qPCR or sequencing .
To study At1g36730 protein-protein interactions in vivo:
Co-immunoprecipitation (Co-IP): Use At1g36730 antibody to pull down the protein complex from plant extracts, followed by mass spectrometry or Western blotting with antibodies against suspected interaction partners.
Proximity-dependent labeling: Fuse At1g36730 to enzymes like BioID or APEX2, which biotinylate nearby proteins upon activation, allowing identification of proximal proteins regardless of interaction strength.
Förster Resonance Energy Transfer (FRET): Create fluorescent protein fusions to At1g36730 and potential partners to measure energy transfer as an indicator of protein proximity in living cells.
Bimolecular Fluorescence Complementation (BiFC): Split a fluorescent protein between At1g36730 and candidate interactors; fluorescence is reconstituted only when proteins interact.
Controls and validation:
To detect post-translational modifications (PTMs) of At1g36730:
Modification-specific detection:
Perform immunoprecipitation with the At1g36730 antibody followed by Western blotting with modification-specific antibodies (anti-phospho, anti-ubiquitin, etc.)
Use Phos-tag™ PAGE to separate phosphorylated from non-phosphorylated forms before immunoblotting
Mass spectrometry analysis:
Immunoprecipitate At1g36730 under native conditions
Digest the purified protein and analyze by LC-MS/MS
Search for mass shifts corresponding to specific modifications
Induction experiments:
Compare modification patterns under different conditions known to induce PTMs (stress treatments, hormone applications)
Use phosphatase inhibitors during sample preparation to preserve phosphorylation states
Include appropriate controls (phosphatase-treated samples) to confirm specificity
Two-dimensional gel electrophoresis:
When comparing polyclonal At1g36730 antibody with monoclonal antibodies in plant research:
When comparing At1g36730 expression across Arabidopsis variants:
Genetic background standardization:
Generate all mutant lines in the same ecotype background
Include appropriate wild-type controls for each genetic background
Consider backcrossing lines to standardize genetic backgrounds when necessary
Growth condition normalization:
Standardize all environmental parameters (light intensity, photoperiod, temperature, humidity)
Grow all genotypes simultaneously under identical conditions
Sample at equivalent developmental stages rather than chronological age
Technical considerations:
Data interpretation:
For integrating At1g36730 antibody-based detection into multi-omics experimental designs:
Coordinated sampling strategy:
Collect parallel samples for proteomics, transcriptomics, and metabolomics from the same experimental units
Implement precise timing of sample collection across all data types
Include sufficient biological replicates (minimum n=3) for statistical power across all analyses
Proteomics integration:
Use At1g36730 antibody in targeted protein quantification (Western blot)
Complement with untargeted proteomics approaches (MS-based)
Apply consistent normalization strategies across techniques
Cross-platform data analysis:
Correlate protein abundance with transcript levels to identify post-transcriptional regulation
Map protein changes to metabolic pathways using metabolomics data
Implement computational approaches to integrate multi-dimensional datasets
Validation experiments:
Design functional studies based on integrated omics insights
Use genetic approaches (mutants, overexpression lines) to confirm biological significance
Apply systems biology modeling to predict network-level effects
This integrative approach allows researchers to position At1g36730 within broader cellular networks and understand its contribution to stress response mechanisms from multiple analytical perspectives .