The At3g26670 Antibody is a research-grade immunoglobulin designed to target the protein encoded by the Arabidopsis thaliana gene locus At3g26670. This gene is annotated in the Arabidopsis genome as encoding a hypothetical protein of unknown function, with limited experimental evidence in public databases . The antibody is primarily used in plant molecular biology to study protein localization, function, and interactions within cellular contexts.
The antibody recognizes the protein product of At3g26670, a gene located on chromosome 3 of Arabidopsis thaliana. While the gene’s exact biological role remains uncharacterized, its orthologs in other plant species suggest potential involvement in stress responses or metabolic pathways. The antibody’s specificity is determined by its binding to epitopes within the At3g26670 protein, enabling its use in techniques such as:
Immunoblotting (Western blot) to detect protein expression levels.
Immunolocalization via fluorescence microscopy to visualize subcellular distribution.
Immunoprecipitation to isolate protein complexes for interaction studies .
The At3g26670 Antibody is a specialized tool for plant biologists investigating gene function in Arabidopsis. Its applications include:
Gene expression analysis: Quantifying protein levels under stress conditions (e.g., drought, pathogens).
Protein localization: Identifying subcellular compartments (e.g., nucleus, cytoplasm) where the At3g26670 protein resides.
Functional studies: Knocking down or overexpressing the gene to observe phenotypic changes .
Lack of functional data: As of the current date (March 17, 2025), no peer-reviewed studies directly utilizing this antibody have been published, limiting its validated use cases.
Cross-reactivity: Polyclonal antibodies may exhibit off-target binding to homologous proteins in other plant species or model organisms.
Availability: The antibody is not widely commercialized, requiring custom synthesis or collaboration with specialized laboratories .
AT3G26670 encodes a putative magnesium transporter with a DUF803 domain in Arabidopsis thaliana. Researchers develop antibodies against this protein to study its expression patterns, subcellular localization, and functional role in magnesium transport and homeostasis. The protein belongs to a family of membrane transporters that play critical roles in plant mineral nutrition . Antibodies are essential tools for detecting AT3G26670 protein in various experimental contexts including western blots, immunoprecipitation, and immunolocalization studies.
For generating AT3G26670-specific antibodies, researchers should:
Design immunogenic peptides - Select peptide sequences that are unique to AT3G26670 with high antigenicity and surface probability scores
Choose appropriate host species - Rabbits are commonly used for polyclonal antibodies, while mice or rats are preferred for monoclonal antibody development
Consider KLH conjugation - KLH-conjugated synthetic peptides derived from the target sequence improve immunogenicity, similar to approaches used for other Arabidopsis membrane proteins
Validate specificity - Test antibodies against wild-type and knockout/knockdown plant tissues
The specificity of the antibody should be confirmed using multiple approaches, including western blot against recombinant protein, knockout/knockdown mutants, and competing peptide assays.
Proper validation of AT3G26670 antibodies requires multiple complementary approaches:
Western blot analysis using:
Recombinant AT3G26670 protein
Protein extracts from wild-type Arabidopsis
Protein extracts from at3g26670 mutant plants
Protein extracts from plants overexpressing AT3G26670
Immunoprecipitation followed by mass spectrometry
Competing peptide assays to confirm epitope specificity
Cross-reactivity testing against related protein family members
As demonstrated with other plant antibodies, specificity must be thoroughly validated to avoid false results. In particular, antibodies against membrane proteins require stringent validation due to potential cross-reactivity with structurally similar transporters .
Based on protocols established for other Arabidopsis membrane proteins, the following conditions are recommended:
Sample preparation:
Extract membrane proteins using a buffer containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% Triton X-100, and protease inhibitor cocktail
Heat samples at 37°C for 10 minutes (not 95°C, which may cause aggregation of membrane proteins)
Electrophoresis and transfer:
Use 10% SDS-PAGE gels
Transfer to PVDF membrane at 25V overnight at 4°C
Blocking and antibody incubation:
Block with 5% non-fat milk in TBS-T for 1 hour
Primary antibody dilution: 1:1000-1:5000 (optimize for each antibody preparation)
Secondary antibody dilution: 1:5000-1:10000
Expected results:
AT3G26670 should appear at approximately 40-45 kDa (exact size may vary based on post-translational modifications)
Avoid freeze-thaw cycles of antibody preparations as this may reduce efficacy and increase background .
For successful immunolocalization of AT3G26670 in plant tissues:
Tissue preparation:
Fix freshly harvested tissues in 4% paraformaldehyde for 2 hours
Embed in paraffin or prepare for cryosectioning (5-10 μm sections)
Immunostaining protocol:
Permeabilize with 0.1% Triton X-100 for 15 minutes
Block with 3% BSA in PBS for 1 hour
Primary antibody dilution: 1:100-1:250
Secondary antibody: Fluorophore-conjugated (Alexa Fluor recommended) at 1:500
Controls to include:
Negative control: Primary antibody omitted
Secondary antibody control: Only secondary antibody applied
Peptide competition: Pre-incubate primary antibody with the immunizing peptide
Genetic control: Use at3g26670 mutant tissue
For plasma membrane localization, co-staining with established membrane markers like H⁺-ATPase (dilution 1:600-1:1000) is recommended to confirm subcellular localization .
When working with AT3G26670 antibodies, the following controls are essential:
| Control Type | Purpose | Implementation |
|---|---|---|
| Negative Control | Assess background staining | Omit primary antibody or use pre-immune serum |
| Genetic Control | Validate antibody specificity | Use tissue from at3g26670 knockout/knockdown plants |
| Peptide Competition | Confirm epitope specificity | Pre-incubate antibody with immunizing peptide |
| Isotype Control | Assess non-specific binding | Use same isotype antibody with irrelevant specificity |
| Positive Control | Confirm assay performance | Use tissue with known high expression of AT3G26670 |
| Recombinant Protein | Calibrate signal | Include purified AT3G26670 protein standard |
As noted in flow cytometry guidelines, proper controls can help distinguish between specific signals and background, especially important for membrane proteins that may have lower expression levels .
Cross-reactivity with other magnesium transporters can occur for several reasons:
Sequence homology - AT3G26670 shares conserved domains with other members of the magnesium transporter family in Arabidopsis
Epitope similarity - Antibodies raised against certain regions may recognize similar epitopes in related proteins
Post-translational modifications - Modifications may create similar antigenic determinants across different transporters
To mitigate cross-reactivity:
Design immunogens from unique regions of AT3G26670 with <30% homology to other transporters
Perform epitope mapping to identify specific recognition sites
Use affinity purification against the immunizing peptide
Validate with knockout/knockdown lines for AT3G26670 and related transporters
Testing against recombinant proteins of related family members can help characterize the extent of cross-reactivity and inform experimental design .
To improve signal-to-noise ratio in AT3G26670 western blots:
Antibody optimization:
Blocking optimization:
Test different blocking agents (5% milk, 3-5% BSA, commercial blocking buffers)
Extend blocking time to 2 hours or overnight at 4°C
Add 0.1-0.3% Tween-20 to reduce hydrophobic interactions
Washing optimization:
Increase wash times (5-10 minutes per wash)
Use higher salt concentration in wash buffers (up to 500 mM NaCl)
Add 0.1% SDS to wash buffer for highly hydrophobic proteins
Sample preparation:
Enrich membrane fractions before analysis
Use specialized detergents for membrane protein solubilization (DDM, Brij-35)
Remove potential interfering compounds through additional purification steps
These approaches have been successful with other membrane proteins in Arabidopsis, including plasma membrane H⁺-ATPase and actin binding proteins .
Common pitfalls and solutions for AT3G26670 immunoprecipitation:
Low protein recovery:
Problem: Membrane proteins like AT3G26670 can be difficult to solubilize
Solution: Use gentle detergents (0.5-1% digitonin or 1% DDM) and optimize solubilization time (1-4 hours at 4°C with rotation)
Non-specific binding:
Problem: Antibodies may bind non-specifically to other proteins
Solution: Pre-clear lysates with Protein A/G beads, increase salt concentration (up to 300 mM NaCl), add 0.1% BSA to binding buffer
Protein degradation:
Problem: AT3G26670 may degrade during long procedures
Solution: Perform IP at 4°C, add protease inhibitor cocktail, reduce procedure time
Weak antibody binding:
Problem: Low affinity antibodies may not efficiently capture AT3G26670
Solution: Cross-link antibodies to beads, increase antibody amount, extend incubation time
Co-immunoprecipitation challenges:
Problem: Interacting proteins may dissociate during washing
Solution: Use gentler washing conditions, consider chemical crosslinking (DSP or formaldehyde) prior to lysis
Always validate IP results with reciprocal pull-downs and mass spectrometry confirmation when identifying novel interactions .
Advanced approaches for studying AT3G26670 protein interactions:
Co-immunoprecipitation (Co-IP) analysis:
Use AT3G26670 antibodies to pull down the protein complex
Analyze by mass spectrometry to identify interacting partners
Validate interactions with reciprocal Co-IPs using antibodies against identified partners
Quantify interaction strength under different Mg²⁺ concentrations
Proximity-labeling techniques:
Generate AT3G26670-BioID or AT3G26670-TurboID fusion proteins
Use AT3G26670 antibodies to confirm expression and localization
Identify proximal proteins via streptavidin pull-down and mass spectrometry
Bimolecular fluorescence complementation (BiFC):
FRET/FLIM analysis:
Create fluorescent protein fusions with AT3G26670
Validate fusion protein functionality with AT3G26670 antibodies
Measure energy transfer between AT3G26670 and potential interactors
These methods have successfully revealed protein-protein interactions in other plant membrane transport systems and can be adapted for AT3G26670 research .
To study post-translational modifications (PTMs) of AT3G26670:
Modification-specific antibodies:
Develop phospho-specific antibodies against predicted phosphorylation sites
Generate antibodies recognizing other potential PTMs (ubiquitination, SUMOylation)
Validate using phosphatase-treated samples as negative controls
Immunoprecipitation-based approaches:
Use AT3G26670 antibodies to immunoprecipitate the protein
Analyze PTMs by mass spectrometry
Compare PTM profiles under different conditions (Mg²⁺ stress, hormone treatments)
Phos-tag™ SDS-PAGE:
Use standard AT3G26670 antibodies with Phos-tag gels
Detect mobility shifts due to phosphorylation
Compare with samples treated with phosphatases
2D gel electrophoresis:
Separate proteins by isoelectric point and molecular weight
Use AT3G26670 antibodies to detect different protein forms
Identify PTMs causing charge or mass changes
Similar approaches have successfully characterized PTMs in other Arabidopsis transporter proteins and signaling components like DELLA proteins .
Advanced antibody engineering approaches for AT3G26670 research:
Fc engineering for reduced background:
Fragment-based approaches:
Affinity optimization:
Perform affinity maturation through phage display
Select variants with enhanced specificity for AT3G26670 epitopes
Balance affinity with specificity to minimize cross-reactivity
Multispecific formats:
Develop bispecific antibodies targeting AT3G26670 and a subcellular marker
Enhances specificity through avidity effects
Enables simultaneous validation of localization
These approaches borrow principles from therapeutic antibody engineering to create research reagents with superior performance characteristics .
Advanced computational approaches for AT3G26670 antibody development:
Structural epitope prediction:
Use AlphaFold or RoseTTAFold to predict AT3G26670 protein structure
Identify surface-exposed regions most likely to be accessible to antibodies
Prioritize epitopes in unique regions with minimal homology to other transporters
Machine learning-based approaches:
Molecular dynamics simulations:
Model antibody-antigen interactions in membrane environments
Identify stable binding configurations
Predict effects of buffers and experimental conditions on binding
Immunogenicity prediction:
Analyze epitope sequences for predicted immunogenicity in different host species
Balance immunogenicity with specificity considerations
Predict potential post-translational modification sites that might interfere with antibody binding
These computational approaches can significantly accelerate antibody development and improve success rates for challenging targets like membrane transporters .
For quantitative immunoblotting of AT3G26670:
Standard curve generation:
Express and purify recombinant AT3G26670 protein fragments
Create standard curves with 5-7 concentration points
Include standards on each blot for absolute quantification
Internal control selection:
Use housekeeping proteins that remain stable under experimental conditions
Validate multiple candidates (actin, tubulin, GAPDH) in your specific experimental system
Consider using total protein normalization (Ponceau S or SYPRO Ruby staining) as an alternative
Technical optimization:
Use fluorescently-labeled secondary antibodies for wider linear range
Capture images with a wide dynamic range digital imaging system
Perform technical replicates to assess variation
Data analysis approaches:
Use specialized software for densitometry
Apply appropriate statistical methods for comparing expression levels
Account for membrane protein extraction efficiency variations
Similar approaches have been validated for quantitative analysis of other Arabidopsis membrane proteins, including plasma membrane H⁺-ATPase and actin .
Advanced microscopy approaches for AT3G26670 localization:
STORM/PALM techniques:
Use primary AT3G26670 antibodies with photoswitchable fluorophore-conjugated secondary antibodies
Achieve 20-30 nm resolution of membrane distribution patterns
Visualize potential clustering or microdomain organization
Expansion microscopy (ExM):
Correlative light and electron microscopy (CLEM):
Immunogold labeling with AT3G26670 antibodies
Correlate fluorescence and electron microscopy images
Visualize transporter organization in context of membrane ultrastructure
Single-molecule tracking:
Use minimally labeled antibody fragments against extracellular epitopes
Track lateral mobility in living plant cells
Characterize diffusion properties and potential interactions
These advanced imaging approaches can reveal unprecedented details about AT3G26670 organization and dynamics in plant membranes, similar to studies with other plant membrane proteins .
For developing ChIP-capable AT3G26670 antibodies:
Epitope selection:
If AT3G26670 has potential DNA-binding activity, target epitopes away from putative DNA-binding domains
Choose epitopes with minimal post-translational modifications that might interfere with DNA binding
Consider the chromatin environment accessibility
Antibody validation for ChIP:
Test antibody affinity and specificity in native conditions
Validate using AT3G26670-overexpressing plants and knockout mutants
Perform preliminary ChIP-PCR on known or predicted binding regions
Compare results with ChIP using epitope-tagged AT3G26670 (if available)
Optimization for plant chromatin:
Adjust crosslinking conditions for plant tissues (1-2% formaldehyde, 10-15 minutes)
Optimize sonication parameters for plant chromatin
Modify washing conditions to reduce background
Controls and analysis:
Include IgG control, input DNA, and at3g26670 mutant controls
Test multiple antibody concentrations (2-10 μg per ChIP)
Use spike-in controls for quantitative comparisons between samples
These approaches have been successfully applied to ChIP studies of other Arabidopsis proteins, including transcription factors and chromatin-associated proteins .