Recent studies utilizing this antibody have revealed:
Agrobacterium interaction: At3g49480 expression increases ≈2-fold during Agrobacterium tumefaciens infection (strain A281), mediated by the bacterial VirD5 effector protein
Genetic regulation: The At3g49480 promoter contains VirD5-responsive elements, making it a key marker for studying pathogen manipulation of host cells
Protein stability: Functions within an SCF (Skp1-Cullin-F-box) ubiquitin ligase complex, suggesting roles in targeted protein degradation pathways
Critical performance characteristics from peer-reviewed studies:
While essential for Arabidopsis studies, users should note:
At3g49480 refers to a specific gene locus on chromosome 3 of the model plant Arabidopsis thaliana. The protein encoded by this gene functions within plant cellular processes and may be studied using specific antibodies that recognize its structural epitopes. Understanding the protein's role requires targeted immunological techniques to detect its presence, localization, and interactions. When designing experiments with At3g49480 antibodies, it's essential to consider the protein's native environment, expression levels, and potential functional domains that might affect antibody recognition. Before proceeding with complex experiments, researchers should confirm the antibody's reactivity with both recombinant and native forms of the protein through preliminary validation studies.
Researchers can typically choose between polyclonal and monoclonal antibodies for At3g49480 detection. Polyclonal antibodies offer recognition of multiple epitopes, potentially providing stronger signals for low-abundance proteins, while monoclonal antibodies provide higher specificity for distinct epitopes. For plant proteins like At3g49480, antibodies may be produced through immunization of rabbits or mice with synthetic peptides derived from the target protein sequence . Immunogen-affinity purified antibodies typically provide enhanced specificity compared to crude serum preparations. Some antibodies are available as whole IgG molecules isolated by immunoaffinity chromatography, with two antigen-binding Fab portions joined to an Fc region by disulfide bonds, resulting in divalent binding capacity and an approximate molecular weight of 160 kDa . Newer formats such as nanobodies—derived from camelid species like alpacas—may offer advantages for certain applications due to their smaller size and ability to access restricted epitopes .
At3g49480 antibodies may be employed across various experimental techniques depending on their validation status. Typical applications include:
Western blotting (WB): For detecting the protein in plant tissue extracts and determining relative expression levels
Immunoprecipitation (IP): For isolating the protein and its binding partners
Chromatin immunoprecipitation (ChIP-qPCR): If At3g49480 has DNA-binding properties
Immunofluorescence (IF): For visualizing subcellular localization in fixed plant tissues
Enzyme-linked immunosorbent assay (ELISA): For quantitative detection
When selecting an antibody, verify it has been validated for your specific application. For example, antibodies validated for plant research typically list their tested applications with recommended dilutions, such as 2.5 μg/100 μg of chromatin for ChIP-qPCR, 1:400 for IF, or 1:5000 for WB . Some antibodies may require optimization for specific plant tissues or experimental conditions beyond the manufacturer's recommendations.
Proper storage and reconstitution are critical for maintaining antibody functionality. For lyophilized antibodies, reconstitution typically involves adding sterile water or buffer as specified in the product documentation. For example, some antibodies require adding 50 μl of sterile water to the lyophilized material . Following reconstitution, antibodies should generally be stored at -20°C and divided into small aliquots to avoid repeated freeze-thaw cycles that can reduce activity . For short-term storage (less than one month), refrigeration at 2-8°C under sterile conditions may be suitable , while long-term storage often requires -80°C . Working dilutions should ideally be prepared on the day of use to maintain optimal activity . The expiration date may be extended if quality control tests demonstrate the antibody remains effective for the intended application.
Optimal dilutions for At3g49480 antibodies vary by application and must often be determined empirically as they depend on factors such as antigen density, sample preparation method, and detection system . Typical starting dilutions might include:
| Application | Recommended Dilution Range | Notes |
|---|---|---|
| Western Blot | 1:1000-1:5000 | Higher dilutions for sensitive detection methods |
| Immunofluorescence | 1:100-1:500 | May require optimization for plant tissues |
| ChIP-qPCR | 2-5 μg per 100 μg chromatin | Quantity-based rather than dilution |
| ELISA | 1:100-1:1000 | Dependent on coating concentration |
| Flow cytometry | 1:50-1:200 | For cell suspension applications |
When establishing protocols, it's advisable to test a range of dilutions to determine the optimal signal-to-noise ratio for your specific experimental system. For antibodies developed against plant proteins like those in Arabidopsis, immunofluorescence applications might start with dilutions around 1:400 with overnight incubation at 4°C .
Verifying epitope specificity is crucial for reliable experimental outcomes. A comprehensive verification approach includes:
Peptide competition assays: Pre-incubating the antibody with excess immunizing peptide should abolish specific binding
Knockout/knockdown validation: Testing antibody reactivity in tissues from plants with reduced or eliminated At3g49480 expression
Mass spectrometry confirmation: Identifying proteins immunoprecipitated by the antibody
Epitope mapping: Using peptide arrays or deletion mutants to precisely define the recognized sequence
Cross-species reactivity testing: Comparing detection in species with known sequence homology
For antibodies targeting plant proteins, it's particularly important to assess potential cross-reactivity with related family members. For instance, antibodies developed against conserved regions might recognize multiple related proteins, similar to how histone antibodies must be carefully validated against specific variants despite high sequence conservation . When documenting specificity, researchers should report not only positive reactivity but also confirmed non-reactivity with closely related proteins to establish the antibody's discrimination capabilities.
Antibody affinity purification: Further purify commercial antibodies against the specific immunogen to enhance specificity
Competitive blocking: Use related proteins or peptides to selectively block cross-reactive epitopes
Increased stringency: Modify washing buffers with higher salt concentrations or detergents
Pre-adsorption: Incubate antibodies with tissue lysates from organisms lacking the target
Alternative antibody selection: Choose antibodies raised against unique regions of At3g49480
For plant protein detection, cross-reactivity issues may arise when targeting conserved protein domains. Researchers should thoroughly evaluate predicted reactivity against related plant species and protein isoforms. Some antibody descriptions detail confirmed reactivity with specific species (e.g., Arabidopsis thaliana, Oryza sativa) and predicted reactivity with others based on sequence homology , which can guide experimental design when working with various plant models.
Antibodies facilitate multiple approaches for investigating protein-protein interactions:
Co-immunoprecipitation (Co-IP): Precipitate At3g49480 along with binding partners using antibody-conjugated beads
Proximity ligation assay (PLA): Detect proteins in close proximity through oligonucleotide-conjugated secondary antibodies
Bimolecular fluorescence complementation (BiFC): Combine with genetic tagging for in vivo interaction confirmation
Pull-down assays: Use antibody-based purification followed by mass spectrometry
FRET/FLIM microscopy: Combine with fluorescent labeling to measure protein proximity
These techniques can reveal whether At3g49480 forms complexes with other proteins, potentially indicating functional relationships. When designing Co-IP experiments, it's critical to verify that the antibody doesn't occlude interaction domains of the target protein. Similar to approaches used with other plant proteins, antibodies that disrupt protein-protein interactions might also have potential therapeutic applications, as demonstrated with PRL-3 nanobodies that reduced interaction between PRL-3 and another protein called CNNM3 .
Detecting low-abundance proteins requires specialized approaches:
Signal amplification: Employ tyramide signal amplification (TSA) or catalyzed reporter deposition
Enhanced chemiluminescence: Use high-sensitivity ECL substrates for Western blots
Protein enrichment: Perform subcellular fractionation or immunoprecipitation before detection
Alternative antibody formats: Consider using nanobodies which may access restricted epitopes more effectively
Sample preparation optimization: Modify extraction buffers to preserve protein conformation and epitope accessibility
Quantitative considerations are also important—determining the minimum detectable concentration through standard curves with recombinant protein can establish detection limits. Researchers working with plant proteins often develop custom protocols for protein extraction that preserve epitope integrity while removing interfering compounds. For immunofluorescence applications with plant tissues, permeabilization methods (such as 0.5% Triton-X100 for 10 minutes) and blocking conditions (such as 5% fish gelatin) may need optimization to improve signal-to-noise ratio .
Post-translational modifications (PTMs) can be investigated using several antibody-based approaches:
Modification-specific antibodies: Use antibodies that specifically recognize phosphorylated, acetylated, or other modified forms
Sequential immunoprecipitation: First precipitate total At3g49480, then probe with modification-specific antibodies
2D gel electrophoresis: Separate modified forms based on charge/mass followed by immunoblotting
Mass spectrometry validation: Confirm modifications in immunoprecipitated proteins
In vitro modification assays: Test kinases or other enzymes using the immunoprecipitated protein as substrate
When studying PTMs in plant proteins, consider their dynamic nature and potential regulation by environmental factors or developmental stages. The approach employed for histone modification studies using ChIP-qPCR could be adapted for At3g49480 if it undergoes similar regulatory modifications . Researchers should describe not only the presence of modifications but also their stoichiometry and biological significance through functional assays.
Effective protein extraction is fundamental for successful antibody-based detection:
Buffer composition: Include appropriate detergents (CHAPS, Triton X-100, SDS) to solubilize membrane-associated proteins
Protease inhibitors: Add a complete cocktail to prevent degradation during extraction
Reducing agents: Include DTT or β-mercaptoethanol to maintain protein conformation
Mechanical disruption: Use bead-beating or grinding in liquid nitrogen for thorough tissue disruption
Sequential extraction: Apply increasingly stringent buffers to fractionate proteins based on solubility
For plant tissues specifically, removal of interfering compounds is critical. Polyphenols, polysaccharides, and secondary metabolites can reduce extraction efficiency and interfere with antibody binding. TCA/acetone precipitation or phenol extraction methods may improve protein recovery from recalcitrant plant tissues. When working with Arabidopsis samples, researchers have successfully employed protocols that involve buffer permeabilization with Triton-X100 (0.5%) for 10 minutes at room temperature , which may be adapted for At3g49480 detection depending on its subcellular localization.
Conflicting Western blot results require systematic troubleshooting:
Sample preparation variation: Standardize protein extraction methods and loading amounts
Transfer efficiency: Optimize transfer conditions for the specific molecular weight of At3g49480
Antibody lot variation: Test multiple antibody lots or sources against the same samples
Detection system sensitivity: Compare different visualization methods (chemiluminescence, fluorescence)
Data quantification: Use appropriate normalization controls and statistical analysis
When faced with inconsistent results, consider creating a validation matrix documenting variables like sample preparation method, antibody concentration, incubation conditions, and detection method across experiments. For plant proteins that might exist in multiple isoforms or undergo processing, apparent molecular weight discrepancies should be investigated through additional experiments such as immunoprecipitation followed by mass spectrometry. Expected molecular weights should be compared with observed migration patterns, noting that the apparent MW on SDS-PAGE may differ from theoretical values (for example, histones typically have an expected MW of 15 kDa but appear at 17 kDa) .
Comprehensive controls establish antibody reliability:
Positive controls: Include recombinant At3g49480 protein or extracts with known expression
Negative controls: Test samples lacking At3g49480 (knockout lines or tissues with no expression)
Secondary antibody controls: Omit primary antibody to detect non-specific secondary binding
Isotype controls: Use non-specific antibodies of the same isotype to identify Fc receptor binding
Peptide competition: Block antibody with immunizing peptide to confirm signal specificity
For plant research specifically, tissue-specific expression patterns should be verified against known transcriptomic data. When performing immunolocalization studies, multiple independent antibodies targeting different epitopes of the same protein provide strong validation. The experimental design should include appropriate controls for each step of the protocol, similar to the approach taken with other plant protein antibodies where both positive reactivity (e.g., Arabidopsis thaliana, Oryza sativa) and negative reactivity are documented .
Immunofluorescence optimization involves several key considerations:
Fixation method: Test paraformaldehyde, glutaraldehyde, or methanol fixation for epitope preservation
Antigen retrieval: Apply heat, enzymatic, or pH-based methods to expose masked epitopes
Permeabilization: Adjust detergent concentration and duration for optimal antibody access
Blocking conditions: Test different blocking agents (BSA, normal serum, fish gelatin) to reduce background
Antibody concentration: Titrate primary and secondary antibodies to optimize signal-to-noise ratio
For plant tissues, cell wall permeabilization requires special attention. Protocols successfully used for other plant proteins in Arabidopsis include permeabilization with 0.5% Triton-X100 for 10 minutes at room temperature, blocking with 5% fish gelatin, and primary antibody incubation at 1:400 dilution overnight at 4°C . Co-staining with DAPI (100 ng/ml) can provide nuclear reference. When documenting subcellular localization, it's valuable to include co-localization with known compartment markers and quantitative analysis of signal distribution.
ChIP experiments with At3g49480 antibodies require careful planning:
Crosslinking conditions: Optimize formaldehyde concentration and incubation time
Chromatin fragmentation: Adjust sonication parameters to achieve appropriate fragment size
Antibody amount: Determine optimal antibody-to-chromatin ratio (typically 2.5-5 μg antibody per 100 μg chromatin)
Washing stringency: Balance between removing non-specific interactions and preserving specific binding
Controls: Include input DNA, non-specific IgG, and positive control antibodies (e.g., histone marks)
For plant ChIP experiments, tissue-specific optimization is crucial. Different plant tissues may require modified crosslinking times due to cell wall barriers. ChIP-qPCR validation should include known targets and non-targets to establish enrichment specificity. When analyzing ChIP-seq data, appropriate bioinformatic pipelines should account for the unique features of plant genomes, including repeat regions and transposable elements. Statistical analysis should include biological replicates and appropriate normalization methods to account for technical variability.