The GLR3.5 antibody targets the GLR3.5 protein, a member of the glutamate receptor-like (GLR) family found in plants . Glutamate receptors, well-known for their roles in neuronal signaling in animals, have been discovered to perform various functions in plants, including defense responses and regulation of plant growth . Specifically, GLR3.5 is involved in plant immunity against pathogens and maintaining mitochondrial integrity .
The Arabidopsis Glu receptor AtGLR3.5, encoded by the At2g32390 gene, has two splicing variants: NM_128798 (isoform 1) and NM_001036387 (isoform 2) . These isoforms differ in their 5′ sequence, leading to variations in the targeting peptide of the translated proteins . While a third gene model exists in The Arabidopsis Information Resource, only these two isoforms have been confirmed to be expressed .
GLR3.3 and GLR3.5 contribute to plant immunity against Botrytis cinerea, a necrotrophic fungal pathogen . This defense mechanism is associated with electrical signals in tomato plants .
Electrical Signaling: Glutamate (Glu) and glycine (Gly) recognition by GLRs triggers electrical signaling, which is crucial in the immune response .
Impact of GLR3.3 Knockout: Disease symptoms in the glr3.3 mutant are more severe, diminishing the beneficial effects of Glu and Gly on resistance against B. cinerea .
Exogenous Application of Glu and Gly: Pretreatment with Glu or Gly alleviates the reduction in ΦPSII (quantum yield of photosystem II) and the increase in B. cinerea actin mRNA accumulation induced by B. cinerea inoculation in wild-type plants .
GLR3.5 plays a crucial role in maintaining mitochondrial integrity . The GLR3.5 transcript level increases in older wild-type plants, suggesting its importance in maintaining mitochondrial function during plant aging .
Mitochondrial Targeting: One isoform of GLR3.5 is efficiently targeted to the mitochondria .
Impact of Knockout: The absence of GLR3.5 in knockout plants results in altered mitochondrial ultrastructure and accelerated senescence .
Membrane Topology: GLR3.5 is inserted into the inner mitochondrial membrane, with its C-terminal part facing the matrix .
The following tables summarize experimental findings related to GLR3.5.
| Endpoint | Condition 1 | Condition 2 | p-value | Condition 3 | p-value | Condition 4 | p-value |
|---|---|---|---|---|---|---|---|
| Experiment #1 | Vehicle | Anti-GluR3 | Control sera | l-AA (*) | |||
| % Astrocyte death after 24 hr | 0 | 85 | <0.001 | 4 | NS | 66 | <0.001 |
| % Neuron death after 24 hr | 0 | 47 | <0.001 | 0 | NS | 38 | <0.05 |
| Astrocyte | Neuron | ||||||
| % Cell death after GluR3 antisera for 24 hr | 85 | 47 | <0.001 | ||||
| Experiment #2 | Without sCR1 | With sCR1 (*) | |||||
| % Astrocyte death after GluR3 antisera for 24 hr | 85 | 22 | <0.01 | ||||
| % Neuron death after GluR3 antisera for 24 hr | 47 | 10 | <0.03 | ||||
| Experiment #3 | Vehicle | Anti-GluR3 | |||||
| % Propidium iodide+ astrocytes after 4 hr | 12 | 47 | <0.01 | ||||
| % Propidium iodide+ neurons after 4 hr | 6 | 7 | NS | ||||
| Astrocytes | Neurons | ||||||
| % Propidium iodide+ cells after anti-GluR3 for 4 hr | 47 | 7 | <0.001 | ||||
| Experiment #4 | Astrocytes | Neurons | |||||
| % Cells labeled by anti-GluR3 | <1 | 66 | <0.001 | ||||
| Control sera | Anti-GluR3 | ||||||
| % Neurons labeled by antisera | 7 | 66 | <0.001 | ||||
| Experiment #5 | Astrocytes | Neurons | |||||
| % Cells labeled by anti-CD59 | 4 | 97 | <0.0001 |
| GALR3 mutant | B max (mutant)/ B max (WT) VLP samples | Tm(mutant)-Tm (WT) VLP samples | Density (mutant)/Density (WT) Sf9 cell lysate |
|---|---|---|---|
| WT | 1.0 | 0 | 1.0 |
| A115L | 7.0 | 2.9 | 6.7 |
| S110A | 5.3 | 5.6 | 6.4 |
| A141L | 3.8 | 3.3 | 4.4 |
| R125A | 3.2 | 3.7 | 3.1 |
| L100A | 3.1 | 3.7 | 4.3 |
| L208A | 3.0 | 3.5 | 3.7 |
| L211A | 2.9 | 3.3 | 3.6 |
| S117A | 2.8 | 3.3 | 3.7 |
| C272A | 2.3 | 3.8 | 3.6 |
| P21A | 2.0 | 2.5 | N/A |
| A19L | 1.8 | 2.2 | 2.4 |
| A97L | 1.8 | 3.7 | 3.1 |
| A236L | 1.7 | 1.5 | N/A |
| R120A | 1.7 | 3.3 | 2.7 |
| C70A | 1.7 | 2.0 | 3.2 |
| R235A | 1.6 | 3.4 | N/A |
| W50A | 1.5 | 4.0 | 2.0 |
| A268L | 1.5 | 2.0 | 2.4 |
| G144A | 1.5 | 1.7 | 1.8 |
| A49L | 1.2 | 4.4 | 1.1 |
| L93A | 1.1 | 4.7 | 1.4 |
| V116A | 1.1 | 6.1 | 0.8 |
| A198L | 1.0 | 2.3 | N/A |
KEGG: ath:AT2G32390
UniGene: At.13200
GLR3.5 is a glutamate receptor-like channel found in plants, particularly well-studied in Arabidopsis thaliana. It belongs to the GLR family, which plays vital roles in various plant physiological processes including wound response, stomatal aperture control, and stress signaling . GLR3.5 is uniquely positioned in the inner mitochondrial membrane with its C-terminal facing the matrix, indicating a specialized role in mitochondrial ion transport .
What distinguishes GLR3.5 from other family members is that it is the only GLR channel in Arabidopsis with a complete binding site for glutamate, suggesting specialized functionality in glutamate sensing . In wound response studies, GLR3.5 contributes to the propagation of electrical signals throughout the plant, with mutants showing reduced action potential amplitude compared to wild-type plants .
Based on the known structures of GLR family proteins, GLR3.5 likely follows a three-layer architecture similar to other GLRs:
Domain arrangement: The protein likely includes:
Membrane topology: GLR3.5 is inserted into the inner mitochondrial membrane with its C-terminus facing the matrix, meaning this region is accessible only from the matrix side .
Functional regions: The protein contains glutamate binding regions in the LBD that are complete, unlike some other family members .
Conformational considerations: Like other GLRs, GLR3.5 likely undergoes significant conformational changes upon activation, which may affect epitope accessibility depending on the channel's state .
When developing antibodies against GLR3.5, researchers should target unique regions that distinguish it from other GLR family members, particularly focusing on extramembrane domains that are accessible in their experimental system.
Understanding the differences between GLR3.5 and other family members is crucial for developing specific antibodies:
| GLR Family Member | Subcellular Localization | Key Functions | Unique Features |
|---|---|---|---|
| GLR3.5 | Inner mitochondrial membrane | Wound-induced signaling | Complete glutamate binding site |
| GLR3.3, 3.5, 3.6 | Plasma membrane | Immune and aphid feeding responses | Form heteromeric channels |
| GLR3.4 | Plasma membrane | Touch and cold stress signaling, lateral root development | S-glutathionylation at C205 |
| GLR3.2/3.4 | Phloem (sieve plates) | Lateral root primordia regulation | Form functional heteromers |
| GLR3.7 | Plasma membrane | Salt stress response, ABA biosynthesis | Interacts with 14-3-3ω protein |
GLR3.5 is distinguished by its mitochondrial localization and complete glutamate binding site, making it unique among the family members . This distinctiveness requires carefully designed antibodies that can specifically target GLR3.5 without cross-reactivity.
Several expression systems can be considered for producing recombinant GLR3.5, each with specific advantages:
HEK293T cell expression system:
Successfully used for other GLRs (GLR3.4 shown to be functional in this system)
Recommended culture conditions: DMEM-GlutaMAX medium with 10% fetal bovine serum, 100 IU/mL penicillin, 100 μg/mL streptomycin in 37°C incubator with 95% air and 5% CO₂
Transfection protocol: Use FuGENE 6 reagent with 1 μg plasmid DNA per well of a 6-well plate
Plant-based expression:
Transient expression in Nicotiana benthamiana via Agrobacterium infiltration
Arabidopsis protoplast transformation using PEG-mediated methods as detailed in GLR3.7 studies
Protocol elements: Isolate protoplasts using enzyme solution (1% cellulose R10, 0.25% macerozyme R10), transform with PEG, and incubate for 12-16 hours before analysis
Domain-specific expression:
For antibody generation, expressing specific domains rather than the complete protein may yield better results
The ligand-binding domain (LBD) or C-terminal region can be expressed in E. coli with appropriate tags
When designing constructs, researchers should include appropriate epitope tags (FLAG, His, etc.) for purification purposes and consider codon optimization for the selected expression system .
Selecting optimal epitopes for GLR3.5 antibody development requires consideration of multiple factors:
Sequence uniqueness analysis:
Topological considerations:
Potential post-translational modification sites:
Structural prediction:
Most successful antibodies against membrane proteins like GLRs target unique extramembrane regions, avoiding transmembrane segments which often yield non-specific antibodies.
Rigorous validation of GLR3.5 antibody specificity requires multiple complementary approaches:
Genetic validation:
Compare signal between wild-type and glr3.5 knockout plants in western blots
Include GLR3.5 overexpression lines as positive controls
Test cross-reactivity with plants overexpressing related GLRs (GLR3.2-3.7)
Biochemical validation:
Peptide competition assays: Pre-incubate antibody with immunizing peptide
Recombinant protein detection: Test against purified GLR3.5 protein
Mass spectrometry validation: Confirm identity of immunoprecipitated proteins
Heterologous expression validation:
Subcellular localization consistency:
A comprehensive validation strategy should document specificity across multiple applications (western blot, immunoprecipitation, immunofluorescence) and experimental conditions to ensure reliable antibody performance.
Working with plant mitochondrial membrane proteins like GLR3.5 requires specific protocol adaptations:
Sample preparation:
Include plant-specific antioxidants (PVPP, ascorbate) to neutralize phenolic compounds
Use gentler detergents like digitonin (0.5-1%) or DDM (0.5-1%) to maintain protein integrity
For mitochondrial isolation, employ density gradient centrifugation for higher purity
Western blot modifications:
Avoid boiling samples (60-70°C for 5-10 minutes instead)
Use specialized transfer conditions: lower methanol (10-15%), extended transfer times
Include mitochondrial marker controls (e.g., VDAC, ATP synthase)
Immunolocalization considerations:
Fixation optimization:
Test multiple fixatives (4% paraformaldehyde, glyoxal, or methanol/acetone)
Include glutaraldehyde (0.1-0.5%) for better membrane preservation
Specialized permeabilization:
Digitonin (0.001-0.1%): Selectively permeabilizes plasma membrane
Triton X-100 (0.1-0.5%): Permeabilizes all membranes
For mitochondrial matrix access, ensure complete permeabilization
Immunoprecipitation adjustments:
Pre-clear thoroughly with non-specific IgG to reduce plant-specific background
Use mitochondrial isolation protocols prior to solubilization
Include ATP and mild detergents to maintain protein complex integrity
These modifications help overcome the unique challenges posed by plant mitochondrial membrane proteins while maximizing specific detection of GLR3.5.
GLR3.5 antibodies enable several sophisticated approaches to investigate protein-protein interactions:
Co-immunoprecipitation (Co-IP):
Solubilize mitochondrial membranes with appropriate detergents (digitonin, DDM, or CHAPS)
Use GLR3.5 antibodies conjugated to solid support (Protein A/G beads)
Identify interaction partners by mass spectrometry or western blotting
Validate with reciprocal Co-IP using antibodies against identified partners
Bimolecular Fluorescence Complementation (BiFC):
This technique has been successfully used for other GLRs (GLR3.7 with 14-3-3ω)
Create fusion constructs of GLR3.5 with YFP-N and potential partners with YFP-C
Transfect protoplasts following established protocols for GLR protein expression
Detection of YFP signal indicates proximity/interaction between proteins
Förster Resonance Energy Transfer (FRET):
Proximity Ligation Assay (PLA):
Combines GLR3.5 antibodies with antibodies against potential partners
Generates signal only when proteins are in close proximity (<40 nm)
Particularly useful for detecting interactions in native context
Given that other GLRs form functional heteromers (such as GLR3.2/GLR3.4) , investigating GLR3.5's potential interaction partners could reveal important insights into its function in mitochondrial membranes.
Investigating post-translational modifications (PTMs) of GLR3.5 using antibodies can reveal important regulatory mechanisms:
Phosphorylation analysis:
Approach: Develop phospho-specific antibodies against predicted phosphorylation sites
Rationale: Other GLRs are regulated by phosphorylation (e.g., GLR3.6 is phosphorylated by CDPK16 at Ser856, GLR3.7 at Ser860)
Methodology:
Use Phos-tag™ SDS-PAGE followed by western blotting with GLR3.5 antibodies
Compare phosphorylation under different conditions (salt stress, wounding)
Validate with phosphatase treatment controls
S-glutathionylation detection:
Approach: Examine if GLR3.5 undergoes S-glutathionylation similar to GLR3.4
Rationale: GLR3.4's Cys205 undergoes S-glutathionylation, affecting channel function
Methodology:
Immunoprecipitate GLR3.5 under non-reducing conditions
Perform western blots with anti-glutathione antibodies
Compare channel function with and without GSH treatment
14-3-3 protein binding:
Approach: Examine if GLR3.5 interacts with 14-3-3 proteins like GLR3.7 does
Rationale: GLR3.7 binds 14-3-3ω in a phosphorylation-dependent manner
Methodology:
Perform BiFC between GLR3.5 and 14-3-3 proteins
Create phosphorylation site mutants and test interaction disruption
Use co-immunoprecipitation with GLR3.5 antibodies to pull down 14-3-3 proteins
Understanding these modifications can provide insight into how GLR3.5 activity is regulated in response to environmental stimuli and cellular conditions.
GLR3.5's unique mitochondrial localization makes it particularly interesting for calcium signaling studies:
Immunolocalization with calcium indicators:
Co-localize GLR3.5 using antibodies with calcium sensors like Rhod-2
Combine with mitochondrial markers to confirm spatial relationships
Track changes in GLR3.5 distribution during calcium signaling events
Mitochondrial calcium flux measurements:
Use GLR3.5 antibodies to compare wild-type vs. glr3.5 mutant mitochondria
Record calcium flux using isolated mitochondria and fluorescent indicators
Test agonists that activate other GLRs (glutamate, glycine, other amino acids)
Functional domain mapping:
In planta calcium imaging:
Compare mitochondrial calcium dynamics in wild-type vs. glr3.5 plants
Correlate GLR3.5 expression levels (detected by antibodies) with calcium signaling capacity
Test responses to stressors known to activate other GLRs (wounding, salt stress)
These approaches can help elucidate GLR3.5's specific role in mitochondrial calcium homeostasis and signaling, potentially revealing new functions of plant glutamate receptors in organellar communication.
When working with GLR3.5 antibodies, researchers may encounter several specificity challenges:
Cross-reactivity with related GLRs:
Problem: Antibodies recognize conserved epitopes across multiple GLR family members
Solutions:
Pre-adsorb antibodies against recombinant related GLRs
Perform peptide competition assays with specific and related sequences
Validate signals using glr3.5 knockout controls alongside wild-type samples
Develop new antibodies targeting more divergent regions identified through sequence analysis
Non-specific mitochondrial protein binding:
Problem: High background in mitochondrial preparations
Solutions:
Increase washing stringency in immunoprecipitation protocols
Use glr3.5 knockout mitochondrial preparations as negative controls
Implement more selective isolation procedures for mitochondria
Optimize blocking conditions (test BSA vs. milk vs. specialized blockers)
Post-translational modification interference:
Problem: Modifications mask epitopes or alter antibody recognition
Solutions:
Thorough validation across multiple experimental conditions and genetic backgrounds is essential for establishing antibody specificity.
Immunoprecipitation of mitochondrial membrane proteins like GLR3.5 requires specialized approaches:
Optimal solubilization conditions:
Detergent screening: Test digitonin (0.5-1%), DDM (0.5-1%), and CHAPS (0.5-2%)
Buffer composition: Include stabilizers (10-15% glycerol, 1-5 mM ATP)
Solubilization time: Extended gentle agitation (1-2 hours) at 4°C
Sample:detergent ratio: Optimize protein:detergent ratios (typically 1:2 to 1:5)
Antibody coupling strategies:
Direct coupling: Covalently link antibodies to support using dimethyl pimelimidate
Pre-clearing optimization: Extended pre-clearing with non-specific IgG (1-2 hours)
Antibody amount: Titrate antibody amounts (typically 2-10 μg per reaction)
Incubation conditions: Overnight at 4°C with gentle rotation
Washing optimization:
Gradient washing: Decreasing detergent concentration in sequential washes
Salt concentration: Test washing buffers with different salt concentrations (150-500 mM)
Wash duration: Multiple brief washes rather than fewer extended washes
Temperature control: Maintain cold temperature throughout procedure
Elution methods:
Peptide elution: Use immunizing peptide for gentle, specific elution
pH elution: Glycine buffer (pH 2.5-3.0) followed by immediate neutralization
SDS elution: For complete protein recovery before mass spectrometry
On-bead processing: Perform on-bead digestion for mass spectrometry applications
When optimizing these protocols, maintaining protein-protein interactions while minimizing non-specific binding requires careful balancing of conditions specific to plant mitochondrial membrane proteins.
When different GLR3.5 antibodies produce conflicting results, systematic investigation is necessary:
Epitope mapping and accessibility analysis:
Approach: Determine precise epitopes recognized by each antibody
Methodology:
Use peptide arrays or deletion constructs to map binding sites
Compare epitope accessibility in different experimental conditions
Assess whether epitopes may be masked by protein interactions or modifications
Comparative experimental conditions:
Variables to test:
Fixation methods (formaldehyde vs. methanol vs. glyoxal)
Permeabilization protocols (affecting access to mitochondrial antigens)
Reducing vs. non-reducing conditions (affecting disulfide bonds)
Denaturation temperature (60°C vs. 95°C)
Validation hierarchy establishment:
Create a prioritized validation pathway:
Genetic validation (null mutants, overexpression)
Biochemical validation (recombinant protein detection)
Functional correlation (activity assays with antibody depletion)
Document which antibodies pass which validation tests
Combination approaches for crucial experiments:
Use multiple antibodies targeting different epitopes in parallel
Confirm key findings with complementary techniques:
Epitope-tagged GLR3.5 expressed under native promoter
CRISPR/Cas9-mediated epitope tagging of endogenous GLR3.5
Independent methods like mass spectrometry to confirm findings
When publishing, clearly document which antibody was used for which experiment, along with detailed validation data to allow proper interpretation by other researchers.
Emerging antibody technologies offer new possibilities for GLR3.5 research:
Single-domain antibodies (nanobodies):
Advantages: Smaller size allows better access to constrained epitopes in mitochondria
Applications: Live-cell imaging, structural studies, functional modulation
Development approach: Immunize camelids or use synthetic libraries with GLR3.5 domains
Methodology consideration: Similar computational design approaches as used in antibody library development can be applied
Proximity-labeling antibodies:
Concept: Antibodies conjugated to enzymes like APEX2 or TurboID
Application: Map the GLR3.5 protein neighborhood within mitochondrial membranes
Advantage: Identifies transient or weak interactions in native conditions
Protocol development: Optimize labeling time and substrate concentration for mitochondrial applications
Conformation-specific antibodies:
Purpose: Distinguish between active and inactive channel states
Design approach: Target regions that undergo conformational changes during activation
Validation: Electrophysiology combined with antibody binding assays
Application: Track GLR3.5 activation states during stress responses
These advanced antibody approaches can provide unprecedented insights into GLR3.5 function and regulation within the complex environment of plant mitochondria.
Computational approaches offer powerful tools for GLR3.5 antibody development:
Epitope prediction and optimization:
Developability assessment:
Cross-reactivity prediction:
Perform comprehensive sequence alignments with all GLR family members
Identify regions unique to GLR3.5 versus conserved domains
Use molecular docking to predict antibody-antigen interfaces and potential cross-reactivity
Structural visualization for validation planning:
Generate structural models of GLR3.5 in different conformational states
Map epitopes onto predicted structures to assess accessibility
Design validation experiments based on structural predictions
These computational approaches can significantly accelerate GLR3.5 antibody development while reducing the resources required for experimental validation.