At3g18340 is a protein encoded by the Arabidopsis thaliana genome (accession Q9LS56). It is studied in plant research to understand cellular structures and protein functions during flower development, which is one of the most complex structures of angiosperms essential for sexual reproduction. The antibody against this protein serves as a molecular marker for investigating biological mechanisms underlying floral development in plants. Arabidopsis thaliana (mouse-ear cress) is a model organism widely used in plant molecular biology due to its small genome size, rapid life cycle, and genetic tractability .
The standard applications for At3g18340 antibody include:
Western Blot (WB): Used to detect and quantify the At3g18340 protein in tissue extracts
Enzyme-Linked Immunosorbent Assay (ELISA): Used for sensitive detection of the protein in solution
Immunofluorescence microscopy: Used to visualize protein localization in tissue sections
Immunoprecipitation: Used to isolate and purify the At3g18340 protein or protein complexes
The antibody has been specifically tested for ELISA and Western Blot applications to ensure identification of the antigen . The characterization of antibodies through multiple techniques is important for establishing their reliability as research tools in plant biology studies .
The optimal storage protocol for At3g18340 antibody is as follows:
Upon receipt, store at -20°C or -80°C for long-term preservation
Avoid repeated freeze-thaw cycles as this can degrade the antibody and reduce its effectiveness
The antibody is typically supplied in liquid form containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative
For working aliquots, small volumes can be prepared and stored at 4°C for short-term use (1-2 weeks)
Proper storage is critical to maintain antibody functionality and specificity for experimental applications . The presence of glycerol in the storage buffer helps prevent freeze damage during storage at subzero temperatures.
Validating the specificity of At3g18340 antibody should follow a multi-step approach:
Positive and negative controls: Include samples from wildtype Arabidopsis and knockout/knockdown lines of At3g18340 if available
Cross-reactivity testing: Test the antibody on proteins from related species to assess specificity
Peptide competition assay: Pre-incubate the antibody with purified At3g18340 protein or peptide before application to confirm specific binding
Multiple detection methods: Validate results using both Western blot and immunofluorescence to confirm consistent detection patterns
Mass spectrometry validation: Perform immunoprecipitation followed by mass spectrometry to confirm the identity of the detected protein
Research has shown that antibody validation is critical for ensuring reproducible results in plant biology. Strategies for monoclonal antibody screening developed for Arabidopsis can be adapted to validate polyclonal antibodies like At3g18340 . Importantly, validation should be performed in each experimental system as tissue-specific factors may affect antibody performance.
The optimal Western blot conditions for At3g18340 antibody typically include:
Sample preparation:
Extract proteins from Arabidopsis tissues using a buffer containing protease inhibitors
Determine protein concentration using Bradford or BCA assay
Use 20-50 μg of total protein per lane
Gel electrophoresis and transfer:
Separate proteins on 10-12% SDS-PAGE gels
Transfer to PVDF or nitrocellulose membrane at 100V for 1 hour or 30V overnight
Blocking and antibody incubation:
Block membrane with 5% non-fat milk or BSA in TBST for 1 hour at room temperature
Dilute primary At3g18340 antibody 1:1000 to 1:2000 in blocking buffer
Incubate membrane with primary antibody overnight at 4°C
Wash 3-5 times with TBST
Incubate with HRP-conjugated anti-rabbit secondary antibody (1:5000-1:10000) for 1 hour at room temperature
Wash 3-5 times with TBST
Detection:
Use enhanced chemiluminescence (ECL) detection system
Expose to X-ray film or use imaging system with appropriate exposure times
Western blot optimization may be necessary for each specific application, as indicated by studies on antibody performance in plant tissues . Consistent technique is crucial for reliable detection of the At3g18340 protein.
For immunofluorescence microscopy with At3g18340 antibody, follow this protocol:
Tissue preparation:
Fix Arabidopsis inflorescence tissues in 4% paraformaldehyde
Dehydrate through an ethanol series
Embed in paraffin
Section tissues to 8-10 μm thickness
Mount on adhesive slides
Antigen retrieval and blocking:
Deparaffinize sections with xylene and rehydrate through decreasing ethanol series
Perform antigen retrieval using citrate buffer (pH 6.0) at 95°C for 20 minutes
Block with 2-5% BSA or normal serum in PBS for 1 hour at room temperature
Antibody incubation:
Dilute At3g18340 antibody 1:100 to 1:500 in blocking buffer
Incubate sections overnight at 4°C in a humid chamber
Wash 3 times with PBS
Incubate with fluorophore-conjugated secondary antibody (e.g., Alexa Fluor 488) at 1:500 dilution for 1-2 hours at room temperature
Wash 3 times with PBS
Counterstain nuclei with DAPI (1 μg/ml) for 5 minutes
Mount with anti-fade mounting medium
Imaging:
Use confocal or fluorescence microscope
Include appropriate positive and negative controls
Capture images at multiple magnifications to visualize cellular and subcellular localization
This protocol is based on established immunofluorescence methods used for Arabidopsis floral tissues, which have successfully revealed distinct cellular distribution patterns of epitopes in flower sections .
Several factors can contribute to false-negative results when using At3g18340 antibody:
Protein degradation: Inadequate protease inhibitors or improper sample handling can lead to protein degradation
Insufficient antigen retrieval: For fixed tissues, incomplete antigen retrieval can mask epitopes
Inappropriate fixation: Overfixation can cross-link proteins and mask epitopes
Antibody degradation: Improper storage or repeated freeze-thaw cycles can reduce antibody activity
Low expression levels: The target protein may be expressed at levels below detection threshold
Post-translational modifications: Modifications of the protein may alter epitope recognition
Tissue-specific expression: The At3g18340 protein might show tissue-specific expression patterns and may not be present in all plant tissues
To address these issues, researchers should optimize protein extraction protocols, try different antigen retrieval methods, and test antibody activity with positive control samples. Studies on antibody characterization in plant tissues have demonstrated that optimization is often necessary for each specific application .
To determine the detection sensitivity of At3g18340 antibody:
Standard curve generation:
Prepare serial dilutions of recombinant At3g18340 protein (if available)
Perform Western blot or ELISA with the dilution series
Plot signal intensity versus protein concentration
Determine the limit of detection (LOD) - typically the concentration giving a signal 3x above background
Titration experiments:
Prepare various dilutions of the antibody (1:500, 1:1000, 1:2000, etc.)
Test each dilution on the same amount of sample
Determine the optimal antibody concentration that provides specific signal with minimal background
Comparison with quantified samples:
Use samples with known quantities of the target protein
Compare signal intensities to establish a standard curve
Use this curve to estimate unknown concentrations in experimental samples
Image analysis software:
Use densitometry software for Western blot quantification
Establish signal-to-noise ratios to determine sensitivity limits
A methodical approach to sensitivity determination helps ensure reliable experimental results and appropriate antibody usage across different applications .
Optimizing immunoprecipitation with At3g18340 antibody involves several strategies:
Sample preparation optimization:
Test different lysis buffers (varying salt concentrations, detergents, and pH)
Include protease and phosphatase inhibitors
Optimize protein extraction conditions for plant tissues (e.g., grinding in liquid nitrogen)
Antibody coupling methods:
Direct coupling to beads (e.g., cyanogen bromide-activated Sepharose)
Protein A/G beads for immune complex capture
Magnetic beads for gentler handling
Binding conditions optimization:
Adjust antibody-to-sample ratio
Optimize incubation time (4 hours to overnight)
Test different temperatures (4°C is typically preferred)
Washing stringency adjustment:
Modify salt concentration in wash buffers
Adjust detergent type and concentration
Increase or decrease number of washes
Elution method selection:
pH elution (glycine buffer pH 2.5-3.0)
Competitive elution with antigenic peptide
SDS and heat for complete elution
Confirmation by mass spectrometry:
Perform LC-MS/MS analysis of immunoprecipitated proteins
Confirm target and identify interaction partners
Studies have shown that successful immunoprecipitation followed by mass spectrometry analysis can effectively identify potential targets for antibodies and their interacting partners .
The At3g18340 antibody presents specific characteristics that differentiate it from other Arabidopsis research antibodies:
Feature | At3g18340 Antibody | Typical Commercial Arabidopsis Antibodies | GFP/YFP/FLAG Tag Antibodies |
---|---|---|---|
Target | Native protein | Native proteins | Tagged proteins |
Specificity | Specific to At3g18340 | Various specificities | Tag-specific regardless of fused protein |
Applications | ELISA, WB | Various (WB, IF, IHC, etc.) | Multiple applications |
Production | Antigen affinity purified | Various purification methods | Highly standardized |
Validation | Target-specific | Variable validation levels | Well-established |
Use in mutant analysis | Direct protein detection | Direct protein detection | Requires transgenic lines |
Unlike commercial antibodies against known antigens such as GFP, YFP, and FLAG that are commonly used for tagged proteins, the At3g18340 antibody enables direct study of the native protein. This is particularly valuable for understanding natural protein expression patterns and interactions without potential artifacts introduced by protein tagging .
Current studies using molecular genetic tools have made great advances in understanding flower development, but knowledge about cellular structures in floral organs has been limited due to the scarcity of antibodies that can label cellular components. The At3g18340 antibody contributes to addressing this limitation .
Several experimental approaches can integrate At3g18340 antibody with genetic studies:
Mutant phenotype correlation:
Compare At3g18340 protein levels in wildtype and mutant backgrounds
Correlate protein expression with developmental phenotypes
Analyze protein localization changes in different genetic backgrounds
Protein-protein interaction networks:
Use At3g18340 antibody for co-immunoprecipitation studies
Identify interaction partners through mass spectrometry
Validate interactions using reciprocal co-IP or yeast two-hybrid assays
Chromatin immunoprecipitation (ChIP):
If At3g18340 is a DNA-binding protein, use the antibody for ChIP experiments
Identify genomic binding sites through ChIP-seq
Correlate binding with gene expression changes
Tissue-specific expression analysis:
Compare protein localization with promoter-reporter gene studies
Analyze protein expression in various tissues and developmental stages
Correlate with RNA-seq or microarray data
Functional complementation:
Express wildtype or mutant versions of At3g18340 in knockout lines
Use the antibody to verify protein expression levels
Correlate protein expression with phenotypic rescue
These integrated approaches leverage the strengths of both antibody-based protein studies and genetic analyses to provide more comprehensive insights into protein function .
At3g18340 antibody can be effectively used in multiplex immunofluorescence imaging through these approaches:
Sequential staining protocol:
Perform serial rounds of antibody labeling, imaging, and signal quenching
Use different fluorophore-conjugated secondary antibodies for distinct targets
Ensure complete signal removal between rounds to prevent cross-detection
Spectral unmixing techniques:
Simultaneously use multiple primary antibodies from different host species
Apply spectrally distinct secondary antibodies
Use confocal microscopy with spectral detection and linear unmixing algorithms
Tyramide signal amplification (TSA):
Enhance signal detection sensitivity for low-abundance proteins
Allow the use of multiple primary antibodies from the same host species
Enable serial detection of multiple targets through sequential TSA reactions
Integration with the IBEX multiplex tissue imaging platform:
Combine At3g18340 antibody with other validated antibodies in the IBEX system
Apply iterative staining, imaging, and signal removal
Create highly multiplexed images of plant tissue architecture
Colocalization analysis:
Combine At3g18340 antibody with antibodies against known cellular markers
Determine subcellular localization through quantitative colocalization analysis
Calculate Pearson's or Mander's coefficients to quantify colocalization
Multiplex immunofluorescence imaging has been successfully applied in tissue imaging repositories and can significantly enhance the understanding of protein spatial relationships in plant tissues .
Several emerging technologies show promise for enhancing At3g18340 antibody applications:
Super-resolution microscopy techniques:
Structured Illumination Microscopy (SIM) provides 2x conventional resolution
Stimulated Emission Depletion (STED) microscopy enhances resolution to ~50 nm
Single-Molecule Localization Microscopy (PALM/STORM) achieves 20-30 nm resolution
These techniques can reveal detailed subcellular localization beyond diffraction limits
Proximity labeling approaches:
Combining At3g18340 antibody with BioID or APEX2 proximity labeling
Identifying proteins in close proximity to At3g18340 in living cells
Creating spatial protein interaction maps in specific tissues
Live-cell antibody applications:
Development of cell-penetrating antibody fragments based on 3E10 framework
Real-time monitoring of protein dynamics in living plant cells
Targeted protein modulation through antibody-based inhibition
Antibody engineering:
Creating single-chain variable fragments (scFvs) for improved tissue penetration
Developing recombinant antibodies with enhanced specificity and affinity
Engineering nanobodies (VHH antibodies) for specialized applications
Automated high-throughput screening:
Robotics-assisted antibody validation and characterization
Large-scale screening of antibody specificity across multiple conditions
Integration with machine learning for improved antibody applications
These technologies build upon recent advancements in cell-penetrating monoclonal antibody therapies and new genotype-phenotype linked antibody development methods, which could be adapted for plant research applications .
Developing a quantitative assay using At3g18340 antibody involves these key steps:
Quantitative Western blot development:
Generate a standard curve using purified recombinant At3g18340 protein
Use fluorescent or chemiluminescent detection with linear dynamic range
Include loading controls (e.g., actin, tubulin) for normalization
Apply image analysis software for accurate densitometry
Sandwich ELISA protocol:
Coat plates with a capture antibody (At3g18340 or another antibody against the same protein)
Apply samples and standards with known protein concentrations
Detect using At3g18340 antibody followed by enzyme-conjugated secondary antibody
Generate a standard curve for quantification of unknown samples
Implementing digital ELISA technologies:
Adapt single-molecule array (Simoa) techniques for ultra-sensitive detection
Use paramagnetic beads conjugated with At3g18340 antibody
Apply digital counting of individual enzyme-substrate reactions for quantification
Flow cytometry application:
Fix and permeabilize plant protoplasts
Stain with At3g18340 antibody and fluorophore-conjugated secondary antibody
Analyze fluorescence intensity as a measure of protein expression
Sort cells based on expression levels if needed
Image-based quantification:
Perform immunofluorescence staining with At3g18340 antibody
Capture images using identical acquisition parameters
Quantify signal intensity using image analysis software
Normalize to cell number or tissue area
These quantitative approaches build upon established protocols for antibody-based protein detection while incorporating advanced techniques for accurate quantification .
When using At3g18340 antibody for evolutionary studies across plant species, several considerations are crucial:
Epitope conservation assessment:
Perform sequence alignment of At3g18340 orthologs across target species
Identify conserved and variable regions that might affect antibody binding
Predict epitope conservation using bioinformatics tools
Cross-reactivity validation:
Test antibody on protein extracts from multiple species
Verify specific binding through Western blot analysis
Confirm consistent molecular weight detection accounting for species variations
Sensitivity calibration:
Determine detection sensitivity in each species
Account for potential affinity differences due to protein sequence variations
Adjust antibody concentrations accordingly for comparable results
Tissue-specific expression patterns:
Compare protein localization across homologous tissues in different species
Document conserved and divergent expression patterns
Correlate with developmental stages for proper comparisons
Integration with phylogenetic analysis:
Map protein expression/localization data onto phylogenetic trees
Identify evolutionary patterns in protein function and regulation
Correlate with genomic changes across the phylogeny
Controls and validation:
Include positive controls from Arabidopsis thaliana
Use antibodies against highly conserved proteins as internal controls
Consider negative controls using pre-immune serum
This integrated approach can provide valuable insights into the evolution of protein function across plant species while accounting for the technical limitations of antibody cross-reactivity .