The At3g61340 antibody is a specialized immunoglobulin targeting the protein encoded by the At3g61340 gene in Arabidopsis thaliana. This gene encodes an F-box family protein involved in ubiquitin-mediated proteolysis, a critical regulatory mechanism for protein degradation and cellular homeostasis . The antibody serves as a research tool for detecting and quantifying this protein in experimental settings.
Gene ID: At3g61340 (chromosome 3, locus 61340)
Protein class: F-box/LRR-repeat protein, part of the SCF (Skp1-Cullin-F-box) E3 ubiquitin ligase complex .
F-box proteins like At3g61340 mediate substrate recognition in ubiquitination, tagging proteins for proteasomal degradation. This process regulates plant development and stress responses.
In transcriptome analyses of habituated Arabidopsis callus cultures, At3g61340 expression was downregulated (log fold change = 0.0538) when comparing habituated (T87 − BA) and nonhabituated (FC + BA) tissues . This suggests its role in cytokinin-independent growth adaptation:
| Comparison | Expression Trend | Log Fold Change | Functional Implication |
|---|---|---|---|
| T87 − BA vs. FC + BA | Downregulated | 0.0538 | Linked to reduced cytokinin reliance |
Regulatory Role: At3g61340 may modulate ubiquitination pathways during cellular dedifferentiation .
Cross-Species Relevance: F-box proteins are conserved across eukaryotes, making this antibody useful for comparative studies .
Applications: Western blot, immunohistochemistry, and protein interaction studies.
Target Validation: Recognizes the F-box domain of At3g61340, confirmed via knockout mutant analyses .
Limitations: Specificity may vary depending on post-translational modifications or homologous proteins.
Mechanistic Studies: Elucidate substrates of At3g61340 in ubiquitination pathways.
Agricultural Biotechnology: Explore its role in stress tolerance or crop yield optimization.
When validating At3g61340 antibodies, researchers should implement a knockout-comparison approach similar to protocols used for other plant protein antibodies. The most rigorous validation method involves comparing antibody performance in wild-type Arabidopsis versus an At3g61340 knockout line, allowing clear determination of specificity . This methodology follows established antibody validation principles wherein comparing readouts from wild-type and knockout cells provides definitive evidence of antibody specificity .
A standardized validation protocol should include:
Western blot analysis using protein extracts from both wild-type and At3g61340 knockout plants
Immunoprecipitation followed by mass spectrometry to confirm target capture
Immunolocalization studies with appropriate negative controls
Cross-reactivity testing against related plant proteins
Determining optimal antibody concentration requires systematic titration experiments. Begin with a concentration range based on manufacturer recommendations (typically 0.5-5 μg/ml for Western blots), then perform parallel experiments with serial dilutions to identify the concentration that maximizes specific signal while minimizing background . For At3g61340 antibodies, researchers should prepare a dilution series (e.g., 1:500, 1:1000, 1:2000, 1:5000) and evaluate signal-to-noise ratio for each concentration.
Record signal intensity and background measurements in a standardized format:
| Antibody Dilution | Signal Intensity | Background | Signal-to-Noise Ratio | Notes |
|---|---|---|---|---|
| 1:500 | [Measured value] | [Value] | [Calculated ratio] | |
| 1:1000 | [Measured value] | [Value] | [Calculated ratio] | |
| 1:2000 | [Measured value] | [Value] | [Calculated ratio] | |
| 1:5000 | [Measured value] | [Value] | [Calculated ratio] |
The optimal concentration provides maximum specific signal with minimal background staining, which may vary depending on the specific application (Western blot, immunoprecipitation, or immunohistochemistry).
For immunoprecipitation of At3g61340 protein, researchers should adapt established protocols with specific considerations for plant samples. Following approaches similar to those used in comprehensive antibody evaluation studies , the protocol should include:
Sample preparation: Homogenize plant tissue in a buffer containing 25 mM Tris-HCl pH 7.4, 150 mM NaCl, 1 mM EDTA, 1% NP-40, and 5% glycerol, supplemented with protease inhibitors .
Antibody-bead conjugation: Add 1.0-1.5 μg of At3g61340 antibody to 500 μl of lysis buffer together with 30 μl of Protein A or G Dynabeads (depending on antibody species) . Incubate with gentle rocking overnight at 4°C.
Washing: Perform at least three washes with lysis buffer to remove unbound antibody .
Sample incubation: Incubate the antibody-bead conjugate with 1 ml of plant extract (protein concentration approximately 0.3-0.5 mg/ml) for 2 hours at 4°C with gentle rocking .
Collection and analysis: Collect the unbound fraction, wash beads three times with lysis buffer, and elute bound proteins for SDS-PAGE and immunoblot analysis .
This protocol maximizes specific capture while minimizing non-specific binding, though optimization may be required based on At3g61340 expression levels in your specific plant tissue.
When faced with contradictory results from different At3g61340 antibodies, researchers should implement a systematic investigation strategy:
Epitope mapping: Determine the specific epitopes recognized by each antibody. Antibodies targeting different regions of At3g61340 may yield different results, especially if the protein undergoes post-translational modifications or alternative splicing.
Validation reassessment: Re-validate each antibody using knockout controls and recombinant protein standards . Compare performance across multiple experimental conditions.
Cross-validation with orthogonal methods: Confirm results using non-antibody-based approaches such as mass spectrometry or RNA expression analysis.
Standardized comparison: Perform side-by-side testing of all antibodies under identical experimental conditions, as demonstrated in comprehensive antibody evaluation studies . Document differences in detection sensitivity, specificity, and background.
Literature review and community input: Consult published literature and research community databases for reports of similar discrepancies.
When reporting contradictory results, clearly document the validation status of each antibody, specific experimental conditions, and possible biological explanations for the observed differences.
Optimizing At3g61340 antibodies for ChIP experiments requires special considerations beyond standard immunoprecipitation protocols:
Fixation optimization: Test multiple formaldehyde concentrations (0.75-1.5%) and fixation times (10-20 minutes) to achieve optimal crosslinking without epitope masking.
Sonication parameters: Determine optimal sonication conditions to generate DNA fragments of 200-500 bp while preserving antibody-epitope interactions.
Pre-clearing strategy: Implement rigorous pre-clearing of chromatin with non-specific IgG and protein A/G beads to reduce background.
Antibody selection: Prioritize antibodies validated for immunoprecipitation that recognize native (non-denatured) epitopes .
Controls: Include input chromatin, IgG negative controls, and positive controls targeting known DNA-associated proteins.
Sequential ChIP: For complex interactions, consider sequential ChIP (re-ChIP) with antibodies against known interaction partners.
Document ChIP efficiency and specificity using qPCR against genomic regions with expected enrichment versus control regions.
Detecting post-translational modifications (PTMs) of At3g61340 requires specialized antibodies and protocols:
Modification-specific antibodies: Utilize antibodies specifically raised against the modified form of At3g61340 (e.g., phosphorylated, ubiquitinated, or SUMOylated versions).
Enrichment strategies: Implement PTM enrichment prior to detection:
For phosphorylation: Use phospho-protein enrichment columns or titanium dioxide chromatography
For ubiquitination: Use tandem ubiquitin binding entities (TUBEs)
For SUMOylation: Use SUMO-interaction motif (SIM)-based enrichment
Validation approach: Validate modification-specific antibodies using:
In vitro modified recombinant At3g61340 protein as a positive control
Mutant plants with altered PTM machinery
Treatment with phosphatases, deubiquitinating enzymes, or other modifying enzymes as negative controls
Mass spectrometry confirmation: Confirm antibody-detected modifications using mass spectrometry to identify the precise modification sites.
Signal enhancement: For low-abundance modifications, implement signal amplification methods such as biotin-tyramide signal amplification.
Document the specificity of modification-specific antibodies using appropriate controls and alternative detection methods to ensure reliable results.
Batch-to-batch variation is a significant concern in antibody research. Implement the following quality control procedures:
Reference standard: Maintain a reference sample with known At3g61340 expression for comparative testing of each new antibody batch .
Systematic validation: Perform standardized validation tests on each batch:
Western blot with dilution series to determine detection limit
Immunoprecipitation efficiency assessment
Background signal evaluation in knockout controls
Documentation: Create detailed records of batch performance including:
| Batch Number | Production Date | Western Blot Sensitivity | IP Efficiency | Background in KO | Lot-Specific Notes |
|---|---|---|---|---|---|
| [Batch ID] | [Date] | [Sensitivity measure] | [% Recovery] | [Signal level] | [Observations] |
Parallelized testing: When transitioning to a new batch, run parallel experiments with both old and new batches to directly compare performance and establish correction factors if needed .
Community reporting: Document and report significant batch variations to both the supplier and research community.
Through rigorous evaluation of each batch, researchers can ensure experimental consistency and identify problematic lots before they affect critical experiments.
Non-specific binding is a common challenge when working with plant tissues due to their complex composition. Implement these strategies to improve specificity:
Blocking optimization: Test multiple blocking agents beyond standard BSA or milk, including plant-specific blockers such as:
Non-fat milk (5-10%)
BSA (3-5%)
Normal serum from the secondary antibody species (5-10%)
Commercial plant-specific blocking reagents
A combination of blockers with 0.1-0.3% Triton X-100
Pre-adsorption: Pre-incubate the At3g61340 antibody with protein extract from At3g61340 knockout plants to capture antibodies that bind non-specifically to other plant proteins .
Extraction buffer optimization: Modify extraction buffers to reduce co-extraction of compounds that may interfere with antibody specificity:
Add polyvinylpolypyrrolidone (PVPP) to remove phenolic compounds
Include β-mercaptoethanol to reduce oxidation
Optimize detergent type and concentration
Cross-reactivity assessment: Systematically test for cross-reactivity against related plant proteins using recombinant protein standards.
Stringency adjustment: Increase washing stringency by:
Adding higher salt concentrations (150-500 mM NaCl)
Including low concentrations of SDS (0.1-0.2%)
Increasing the number and duration of washes
Document optimization steps in a standardized format to facilitate protocol refinement and reproducibility across experiments.
Accurate quantification of At3g61340 across experimental conditions requires rigorous methodology:
Reference standards: Include recombinant At3g61340 protein standards at known concentrations to generate a calibration curve for absolute quantification .
Loading controls: Implement multiple loading controls:
Technical considerations:
Use linear range detection methods (avoid saturated signals)
Implement biological and technical replicates (minimum n=3)
Apply appropriate statistical analysis for significance testing
Normalization strategy: Document your normalization approach in detail:
| Sample | Raw At3g61340 Signal | Loading Control Signal | Normalized Value | Fold Change | p-value |
|---|---|---|---|---|---|
| Control | [Measured value] | [Control value] | [Calculation] | 1.0 | N/A |
| Condition 1 | [Measured value] | [Control value] | [Calculation] | [Fold change] | [p-value] |
| Condition 2 | [Measured value] | [Control value] | [Calculation] | [Fold change] | [p-value] |
Validation with orthogonal methods: Confirm protein-level changes with mRNA expression analysis when appropriate.
This structured approach ensures reliable quantification that can be confidently compared across experiments and between research groups.
Investigating At3g61340 protein interactions requires multiple complementary approaches:
Co-immunoprecipitation (Co-IP): Use validated At3g61340 antibodies to precipitate the protein complex, followed by identification of interaction partners via Western blot or mass spectrometry . Include appropriate controls:
IgG control precipitation
Precipitation from At3g61340 knockout tissue
Reciprocal Co-IP when possible
Proximity-based approaches:
Bimolecular Fluorescence Complementation (BiFC) for in vivo validation
Proximity Ligation Assay (PLA) for detecting interactions in fixed tissue
FRET/FLIM analysis for dynamic interaction studies
Crosslinking strategies:
Chemical crosslinking followed by immunoprecipitation to capture transient interactions
Photo-crosslinking for spatial and temporal control of crosslinking
Confirmation of functional relevance:
Mutational analysis of interaction interfaces
Competitive disruption with peptides or small molecules
Correlation of interaction dynamics with biological phenotypes
Bioinformatic validation:
Correlation analysis of expression patterns
Evolutionary conservation of interaction interfaces
Network analysis to identify interaction clusters
Document all interaction partners in a standardized format including detection method, interaction strength, and biological context to build a comprehensive interaction network for At3g61340.