The GLR2.8 Antibody is a polyclonal rabbit antibody raised against the recombinant GLR2.8 protein (glutamate receptor-like protein 2.8) in Arabidopsis thaliana. It is used to study the expression, localization, and functional roles of GLR2.8 in plant signaling and stress responses. GLR2.8 belongs to the AtGLR (Arabidopsis glutamate receptor-like) gene family, which comprises ionotropic glutamate receptors homologous to animal glutamate-gated ion channels but with distinct structural and functional properties .
The AtGLR family includes 20 genes divided into three clades based on phylogenetic analysis . GLR2.8 is part of Clade 2, which shares conserved residues critical for ligand binding and ion channel activity. Key features include:
Epitope: Targeted to the full-length recombinant GLR2.8 protein, though specific binding domains (e.g., extracellular or intracellular regions) are not explicitly defined .
Expression Patterns:
Cross-Reactivity: No reported cross-reactivity with non-Arabidopsis GLR proteins (e.g., mammalian GluRδ2 or ionotropic receptors) .
Limitations: Limited experimental data on blocking peptide validation or epitope mapping .
| Antibody | Target | Reactivity | Applications |
|---|---|---|---|
| GLR2.8 Antibody | GLR2.8 (AtGLR2.8) | Arabidopsis | WB, ELISA |
| Anti-GluRδ2 (AGC-039) | GluD2 (extracellular) | Rat, mouse, human | WB, IHC, live imaging |
| Anti-GLR1.2 | GLR1.2 (AtGLR1.2) | Arabidopsis | RT-PCR, tissue profiling |
GLR2.8 exhibits tissue-specific expression, with notable activity in leaves and roots . Stress-induced responses, such as infection with Fusarium oxysporum, may modulate GLR2.8 expression, though direct evidence remains limited .
While GLR2.8’s precise function is unclear, the AtGLR family is implicated in:
Stress Signaling: Responses to pathogens or abiotic stress .
Development: Tissue-specific expression suggests roles in organ differentiation .
Limited Experimental Data: Most studies focus on other AtGLR members (e.g., GLR1.1, GLR3.1) .
Mechanistic Insights: No structural or functional studies directly link GLR2.8 to signaling pathways.
Cross-Species Relevance: Unlike mammalian glutamate receptors, plant GLRs lack clear homologs in animals, limiting comparative analysis .
GLR2.8 (Glutamate Receptor-like 2.8) is a member of the plant glutamate receptor-like family, which consists of 20 members in Arabidopsis thaliana divided into three clades: GLR1, GLR2, and GLR3. GLR2.8 belongs to the clade 2 of GLRs and forms a tandemly-arranged, closely-related cluster with GLR2.7 and GLR2.9 .
The importance of GLR2.8 lies in its role in plant immunity and calcium signaling. Studies have shown that GLR2.7, GLR2.8, and GLR2.9 were identified as "core immunity response" (CIR) genes, which are transcriptionally upregulated in response to pathogen-associated molecular patterns (PAMPs) but not to abiotic stresses . The triple mutants of these genes displayed defects in Ca²⁺ responses upon treatment with elicitors and reduced immunity against Pseudomonas syringae .
Methodologically, researchers interested in GLR2.8 should consider:
Using GLR2.8-specific antibodies for protein detection and localization
Employing Ca²⁺ imaging techniques to study its involvement in signaling
Creating single, double, or triple mutants with related GLRs for functional characterization
Validating antibody specificity is critical for reliable research outcomes. For GLR2.8 antibodies, consider the following methodological approach:
Western blot analysis using positive and negative controls:
Positive control: Tissue samples known to express GLR2.8 (refer to expression databases)
Negative control: GLR2.8 knockout/knockdown plant lines
Additional control: GLR2.8 recombinant protein or overexpression lines
Peptide competition assay:
Pre-incubate the antibody with the immunizing peptide
Run parallel Western blots with blocked and unblocked antibody
Specific binding should be eliminated in the blocked sample
Cross-reactivity assessment:
Test against closely related proteins (GLR2.7 and GLR2.9)
Use heterologous expression systems expressing single GLR variants
Immunoprecipitation followed by mass spectrometry:
Verify that the immunoprecipitated protein is indeed GLR2.8
Example of successful antibody validation approaches can be found in studies of glutamate receptor antibodies where researchers used multiple techniques including rat brain immunohistochemistry, cell-based assays with standard secondary antibody, and cell-based assays with secondary and tertiary antibodies .
For optimal Western blot results with GLR2.8 antibodies, follow these methodological guidelines:
Sample preparation:
Extract proteins using a buffer containing 10 mM Tris, 50 mM sodium chloride, with protease inhibitors at pH 7.4, similar to conditions used for other membrane proteins
Include phosphatase inhibitors if studying phosphorylation status
Maintain cold conditions throughout extraction
Gel electrophoresis and transfer:
Use 8-10% SDS-PAGE gels for optimal separation of GLR2.8 (expected MW approximately 90-100 kDa based on other glutamate receptors)
Transfer to PVDF membranes at 30V overnight at 4°C for better transfer of membrane proteins
Antibody incubation:
Blocking: 5% non-fat milk in TBST for 1 hour at room temperature
Primary antibody: Use at 1:500 dilution (starting point based on similar antibodies)
Incubation: Overnight at 4°C with gentle rocking
Secondary antibody: Anti-rabbit HRP conjugate at 1:2000-1:5000 depending on detection system
Detection and controls:
Use chemiluminescence detection for high sensitivity
Include positive control: Arabidopsis tissue with known GLR2.8 expression
Negative control: GLR2.8 knockout mutant tissue
Loading control: Anti-Tubulin beta chain antibody (1:500 dilution)
GLR2.8 has been implicated in calcium signaling during plant immune responses . To investigate this function using GLR2.8 antibodies, consider these methodological approaches:
Co-localization studies:
Perform double immunostaining with GLR2.8 antibodies and calcium channel markers
Use confocal microscopy to visualize subcellular localization during immune responses
Track temporal changes in localization after pathogen challenge
Calcium flux measurement coupled with immunodetection:
Use calcium reporters (e.g., Aequorin, GCaMP) in wild-type and GLR2.8 mutant plants
Challenge with pathogens or pathogen-associated molecular patterns (PAMPs)
Correlate calcium responses with GLR2.8 protein levels by Western blot
Compare wild-type, single, and triple mutant plants (GLR2.7/2.8/2.9)
Immunoprecipitation and protein complex analysis:
Use GLR2.8 antibodies to pull down protein complexes
Identify interacting partners by mass spectrometry
Focus on interactions that change during immune activation
Validate interactions with other calcium signaling components
Example experimental design:
Treatment groups: Mock, flg22 (bacterial PAMP), chitin (fungal PAMP)
Time points: 0, 5, 15, 30, 60 minutes after treatment
Measurements: Calcium flux (using fluorescent reporters), GLR2.8 protein levels and localization, interacting protein partners
This approach has been successful in studying other plant GLRs, where researchers found that GLR3.3 and GLR3.6 are required for calcium signals that propagate through the vasculature upon wounding .
When performing immunohistochemistry with GLR2.8 antibodies, several methodological considerations are critical:
Tissue preparation:
Fixation: Use 4% paraformaldehyde for 2-4 hours at room temperature
Embedding: Paraffin embedding works well for plant tissues
Sectioning: 5-10 μm sections are optimal for resolution
Antigen retrieval: May be necessary due to fixation-induced epitope masking
Heat-mediated: Citrate buffer (pH 6.0) at 95°C for 10-20 minutes
Enzymatic: Proteinase K treatment (1-5 μg/ml) for 10 minutes
Antibody application:
Blocking: 5% normal serum (matching secondary antibody host) with 1% BSA for 1 hour
Primary antibody dilution: Start with 1:250 and optimize as needed
Incubation time: Overnight at 4°C in a humid chamber
Secondary antibody: Fluorescent-conjugated for co-localization studies
For plant tissues, Alexa Fluor 488 or 594 conjugates work well at 1:500-1:1000
Critical controls:
No primary antibody control
Peptide competition control
GLR2.8 knockout/knockdown tissue sections
Non-expressing tissue sections
Analysis considerations:
Compare with known GLR2.8 expression patterns (RNA-seq data)
Document any discrepancies between transcript and protein localization
Consider developmental and stress-induced changes in expression
For studying GLR2.8 in plant immunity, focus on vascular tissues, as these have been implicated in systemic immune signaling involving related GLRs .
Differentiating between the closely related GLR2.7, GLR2.8, and GLR2.9 proteins requires careful methodological consideration:
Epitope selection and antibody design:
Analyze sequence alignments of the three proteins to identify unique regions
Target antibody production against:
C-terminal regions (often most divergent)
Unique extracellular domain sequences
Specific post-translational modification sites
Confirm epitope uniqueness using BLAST or other sequence comparison tools
Validation strategy:
Express each recombinant protein (GLR2.7, GLR2.8, GLR2.9) in heterologous systems
Perform Western blot analysis with each antibody against all three proteins
Create a cross-reactivity matrix showing specificity profiles
Immunoprecipitation coupled with mass spectrometry:
Perform IP with the GLR2.8 antibody
Analyze peptides by LC-MS/MS
Look for unique peptides that definitively identify GLR2.8
Quantify any contamination from GLR2.7 or GLR2.9
Multiple antibody approach:
Use a pan-GLR2 antibody to detect all three family members
Use specific antibodies in parallel to distinguish individual proteins
Combine with mutant lines lacking one or more of the proteins
This approach has been successful with other related receptor families, such as shown in studies of glutamate receptor delta 2 antibodies where researchers used multiple techniques to confirm specificity .
Co-immunoprecipitation (Co-IP) with GLR2.8 antibodies requires specific methodological considerations for membrane proteins:
Buffer optimization:
Membrane solubilization: Try different detergents
Start with 1% Triton X-100 or 0.5-1% NP-40
For stronger interactions, try milder detergents like digitonin (0.5-1%)
For challenging cases, test CHAPS, DDM, or OG
Salt concentration: 100-150 mM NaCl is standard; adjust based on interaction strength
pH: Typically 7.4, but consider the isoelectric point of GLR2.8
Protocol considerations:
Pre-clearing: Critical to reduce non-specific binding
Use protein A/G beads with pre-immune serum
Antibody binding: Two strategies
Direct: Antibody pre-bound to beads
Indirect: Antibody added to lysate, then captured with beads
Controls:
Input control (5-10% of starting material)
IgG control (same species as GLR2.8 antibody)
No-antibody control
GLR2.8 knockout/knockdown tissue control
Analysis of interacting partners:
Western blot: For known or suspected interactions
Mass spectrometry: For unbiased identification of the interactome
Focus on proteins involved in calcium signaling
Look for interactions with other membrane receptors
Identify components of the plant immune signaling pathway
Crosslinking option for transient interactions:
Use membrane-permeable crosslinkers (e.g., DSP, DTBP)
Optimize crosslinking time (usually 15-30 minutes)
Include a reducing agent to reverse crosslinking before SDS-PAGE
This approach has been effective in studying protein-protein interactions for other glutamate receptors, as demonstrated in studies identifying receptor complexes involved in immune signaling .
For optimal GLR2.8 localization using immunofluorescence, follow these methodological guidelines:
Sample preparation:
Fixation options:
4% paraformaldehyde in PBS, pH 7.4 for 30-60 minutes
For membrane proteins, add 0.1-0.5% glutaraldehyde to better preserve structure
Permeabilization:
0.1-0.5% Triton X-100 for 15-30 minutes
Alternative: 0.05-0.1% saponin (gentler for membrane proteins)
For plant tissues:
Consider wall digestion with cellulase and macerozyme for better antibody penetration
Optimize digestion time to maintain tissue integrity
Staining protocol:
Blocking: 5% normal serum with 1% BSA for 1 hour at room temperature
Primary antibody:
Washing: 3-5 times with PBS + 0.1% Tween-20
Secondary antibody:
Fluorophore selection: Consider Alexa Fluor 488 for green channel
Dilution: 1:500-1:1000
Incubation: 1-2 hours at room temperature
Counter-staining:
Nucleus: DAPI (1 μg/ml)
Membrane: FM4-64 or similar membrane dye
Additional markers for co-localization studies
Controls and validation:
Secondary antibody-only control
Peptide competition control
Non-expressing tissue control
GLR2.8 knockout/mutant control
Co-localization with known compartment markers:
Plasma membrane: PIP2A
ER: HDEL-tagged proteins
Golgi: ST-GFP
Example of successful localization:
This approach has been used effectively for visualizing tubulin in Arabidopsis thaliana epidermis cells, where specific localization to division plates was observed . A similar methodological approach could be applied to GLR2.8 localization studies.
Several common issues may arise when working with GLR2.8 antibodies. Here are methodological solutions:
Problem: Weak or no signal in Western blot
Solutions:
Increase antibody concentration (try 1:250 instead of 1:500)
Optimize protein extraction:
Use stronger lysis buffers with 1% SDS or 8M urea
Include protease inhibitor cocktail
Improve transfer efficiency:
Use PVDF membrane instead of nitrocellulose
Transfer at lower voltage overnight at 4°C
Add 0.05% SDS to transfer buffer for high MW proteins
Enhance detection sensitivity:
Use highly sensitive chemiluminescent substrates
Consider signal enhancement systems
Problem: High background in immunofluorescence
Solutions:
Optimize blocking:
Increase blocking time to 2 hours
Try different blocking agents (BSA, normal serum, casein)
Improve washing:
Increase number of washes (5-6 times)
Use 0.2% Triton X-100 in wash buffer
Dilute antibodies further:
Try 1:1000 instead of 1:500
Filter antibody solution:
Use 0.22 μm filters to remove aggregates
Problem: Cross-reactivity with other GLRs
Solutions:
Pre-absorb antibody:
Incubate with recombinant proteins of related GLRs
Use tissue lysates from plants overexpressing related GLRs
Use peptide competition assays to confirm specificity
Consider raising new antibodies against more unique epitopes
Use GLR2.8 knockout plants as negative controls
Problem: Inconsistent immunoprecipitation results
Solutions:
Optimize lysis conditions:
Test different detergents (Triton X-100, NP-40, CHAPS)
Vary salt concentration (100-500 mM)
Improve antibody-bead coupling:
Use covalent coupling to protein A/G beads
Crosslink antibody to beads using DMP or BS3
Modify wash stringency:
Increase or decrease salt concentration
Add low concentrations of detergent to wash buffer
These approaches have been effective in troubleshooting antibody applications in similar studies, such as those examining glutamate receptors in opsoclonus-myoclonus syndrome .
Determining the optimal concentration for GLR2.8 antibodies requires systematic titration and validation:
Western blot titration:
Prepare a dilution series of GLR2.8 antibody:
Standard range: 1:100, 1:250, 1:500, 1:1000, 1:2000
Run identical Western blots with the same protein sample
Process all blots identically
Evaluate based on:
Signal-to-noise ratio
Background levels
Specific band intensity
Non-specific binding
Immunofluorescence titration:
Prepare multiple tissue sections or cell preparations
Test antibody dilutions: 1:100, 1:250, 1:500, 1:1000, 1:2000
Keep all other variables constant:
Fixation conditions
Blocking reagents and time
Secondary antibody concentration
Exposure settings during imaging
Evaluate based on:
Signal intensity at expected locations
Background fluorescence
Signal-to-noise ratio
Quantitative assessment:
Measure signal and background intensities using image analysis software
Calculate signal-to-noise ratios for each dilution
Plot these values to determine the optimal range
Confirm with biological replicates
Documentation table template:
| Antibody Dilution | Signal Intensity | Background | Signal-to-Noise Ratio | Specific Bands | Comments |
|---|---|---|---|---|---|
| 1:100 | |||||
| 1:250 | |||||
| 1:500 | |||||
| 1:1000 | |||||
| 1:2000 |
This approach follows standard protocols for antibody optimization as used in studies of other receptor antibodies, where appropriate concentrations were determined through systematic testing .
To study GLR2.8's role in plant-pathogen interactions, consider these methodological approaches:
Time-course studies of GLR2.8 expression and localization:
Challenge plants with pathogens or PAMPs (e.g., flg22, chitin)
Collect samples at multiple time points (0, 15, 30, 60, 120 min, 24h)
Perform:
Western blot analysis for expression levels
Immunofluorescence for subcellular localization changes
Co-IP for identifying dynamic interaction partners
Correlation with calcium signaling:
Use GLR2.8 antibodies in parallel with calcium imaging:
Transform plants with calcium sensors (e.g., GCaMP6, Aequorin)
Challenge with pathogens
Correlate calcium flux patterns with GLR2.8 protein levels/localization
Compare wild-type and GLR2.8 mutant/silenced plants
Integrated multi-omics approach:
Combine antibody-based GLR2.8 protein detection with:
Transcriptomics (RNA-seq) to study gene expression changes
Phosphoproteomics to detect GLR2.8 phosphorylation status
Interactomics to identify protein-protein interactions
Create a temporal map of GLR2.8 involvement in immune signaling
Experimental design example:
Plant material: Wild-type, GLR2.8 knockout, GLR2.8 overexpressor
Treatments:
Mock (control)
Bacterial pathogen (e.g., Pseudomonas syringae)
Fungal pathogen (e.g., Botrytis cinerea)
PAMPs (flg22, chitin)
Measurements:
GLR2.8 protein levels and phosphorylation state
Calcium flux patterns
Defense gene expression
Pathogen growth/disease progression
This approach aligns with studies of related GLRs where researchers found that triple mutants displayed defects in Ca²⁺ responses upon treatment with elicitors and reduced immunity against P. syringae .
For investigating protein-protein interactions involving GLR2.8, consider these methodological strategies:
Co-immunoprecipitation optimized for membrane proteins:
Membrane solubilization buffer optimization:
Test different detergents: digitonin (0.5-1%), DDM (0.5-1%), CHAPS (0.5-1%)
Add cholesterol hemisuccinate (CHS, 0.1%) to stabilize membrane protein complexes
Include phosphatase inhibitors to preserve phosphorylation-dependent interactions
Crosslinking options:
DSP (dithiobis(succinimidyl propionate)) at 0.5-2 mM for 30 min
Formaldehyde (0.5-1%) for 10 min
Both are reversible and can help capture transient interactions
Proximity-based approaches:
BioID or TurboID fusion proteins:
Create GLR2.8-BioID fusion
Express in plants
Feed biotin and identify biotinylated proteins (proximity partners)
Validate with GLR2.8 antibodies
APEX-based proximity labeling:
Similar approach with peroxidase-based labeling
Split reporter systems with antibody validation:
Split-GFP, split-luciferase, or BRET approaches
Express GLR2.8 fused to one half of the reporter
Test candidate interactors fused to the complementary half
Confirm interactions by Co-IP with GLR2.8 antibodies
Quantitative MS-based interactomics:
SILAC or TMT labeling to compare interactomes:
Control vs. pathogen-challenged conditions
Wild-type vs. phosphorylation-site mutants
Data analysis to identify:
Core GLR2.8 interactors (present in all conditions)
Dynamic interactors (changing with treatments)
Post-translationally modified interactors
Validation strategy:
Reciprocal Co-IPs (pull down with partner antibody)
In vitro binding assays with purified components
Functional studies of identified interactions
This comprehensive approach has been effective for studying other receptor complexes, such as those involved in NMDA receptor clustering and autoimmune encephalitis .
When facing conflicting data about GLR2.8 function, systematic antibody-based approaches can help resolve discrepancies:
Validation of conflicting observations:
Antibody re-validation:
Confirm specificity using multiple techniques:
Western blot against recombinant protein
Testing on GLR2.8 knockout tissue
Peptide competition assays
Test multiple GLR2.8 antibodies targeting different epitopes
Cross-laboratory validation:
Exchange antibodies and protocols between labs
Perform identical experiments with standardized conditions
Systematic approach to resolve conflicts:
Identify potential variables causing discrepancies:
Plant growth conditions
Developmental stages
Tissue-specific expression differences
Experimental conditions (buffers, temperatures, etc.)
Design factorial experiments addressing these variables
Use multiple detection methods in parallel:
Western blot
Immunofluorescence
Immunoprecipitation
Mass spectrometry
Recommendation table for resolving conflicting data:
| Possible Source of Conflict | Experimental Approach | Controls to Include | Analysis Method |
|---|---|---|---|
| Antibody specificity | Test multiple antibodies against same samples | GLR2.8 knockout, recombinant protein | Side-by-side comparison |
| Tissue-specific differences | Systematic testing across tissues | RNA-seq correlation | Quantitative WB and IF |
| Post-translational modifications | Phosphatase treatment, mass spec | Phosphomimetic mutants | Modified protein detection |
| Protein-protein interactions | Stringent vs. mild IP conditions | Individual domain constructs | Interaction network analysis |
| Experimental conditions | Standardized protocols | Internal standards | Statistical analysis of variance |
Example resolution strategy:
If one study reports GLR2.8 involvement in calcium signaling while another does not, design experiments that:
Use the same antibody in both experimental systems
Include phosphorylation state analysis
Test multiple stimulation conditions and timepoints
Correlate protein detection with functional calcium imaging
Examine both acute and long-term responses
This methodological approach aligns with studies that resolved conflicting data about glutamate receptor antibodies in opsoclonus-myoclonus syndrome , where systematic testing revealed that previously reported antibodies were not biomarkers of the disease.
Optimizing GLR2.8 antibodies for plant tissue immunohistochemistry requires addressing several plant-specific challenges:
Plant tissue preparation optimization:
Fixation options:
4% paraformaldehyde (18-24 hours at 4°C)
FAA (formalin-acetic acid-alcohol) for better tissue preservation
Farmer's fixative for maintaining antigenicity
Cell wall considerations:
Gentle cell wall digestion: 1% cellulase, 0.5% macerozyme for 10-30 minutes
Alternative: 1% driselase treatment
Monitor tissue integrity during digestion
Sample embedding:
Paraffin embedding for thin sectioning
Cryosectioning for better antigen preservation
Vibratome sectioning for thicker sections with maintained 3D structure
Antigen retrieval methods:
Heat-induced epitope retrieval:
Citrate buffer (pH 6.0) at 95°C for 10-20 minutes
Tris-EDTA buffer (pH 9.0) for different epitopes
Enzymatic retrieval:
Proteinase K (1-5 μg/ml) for 5-15 minutes
Trypsin (0.05-0.1%) for 5-15 minutes
Detergent-based permeabilization:
0.1-0.5% Triton X-100 for 30-60 minutes
0.05-0.1% saponin (gentler for membranes)
Plant tissue-specific blocking optimization:
Test blocking agents:
5% normal serum (matching secondary antibody host)
2-5% BSA
5% non-fat milk
3% fish gelatin (low background for plant tissues)
Include blockers of plant-specific binding:
0.1-0.5% polyvinylpyrrolidone (PVP) to block phenolic compounds
0.5% glycine to block aldehyde groups from fixation
Signal amplification options:
Tyramide signal amplification (TSA):
10-100× signal enhancement
Good for low abundance proteins like GLR2.8
Biotin-streptavidin amplification:
Biotinylated secondary antibody
Streptavidin-fluorophore conjugate
This approach incorporates techniques that have been successful in plant immunohistochemistry, adapting methodologies that were effective for tubulin visualization in Arabidopsis .
Developing quantitative assays with GLR2.8 antibodies requires attention to assay design, calibration, and validation:
ELISA development for GLR2.8 quantification:
Assay format selection:
Direct ELISA: Simple but less sensitive
Sandwich ELISA: Higher sensitivity, requires two antibodies to different epitopes
Competitive ELISA: Good for small proteins or peptides
Calibration curve preparation:
Use recombinant GLR2.8 protein or peptide
Prepare standard curves in the same matrix as samples
Include 7-8 concentration points with 2-3 fold dilutions
Optimization steps:
Antibody concentration (capture and detection)
Blocking conditions (agent, time, temperature)
Sample dilution optimization
Incubation conditions (time, temperature)
Quantitative Western blot methodologies:
Sample preparation standardization:
Internal standards:
Recombinant GLR2.8 protein at known concentrations
Standard curve on each blot
Detection optimization:
Use fluorescent secondary antibodies
Capture images within linear detection range
Analyze with appropriate software (ImageJ, etc.)
Multiplexed detection systems:
Protein microarray approach:
Print samples on nitrocellulose-coated slides
Probe with GLR2.8 antibody
Compare signal to standard curve
Automated capillary Western systems (e.g., Jess, Wes):
Higher reproducibility than traditional Western blots
Better quantification due to automated analysis
Bead-based assays:
Couple GLR2.8 antibody to beads
Develop multiplex assay with other proteins of interest
Analyze using flow cytometry
Validation and quality control:
Spike-and-recovery tests:
Add known amounts of recombinant GLR2.8 to samples
Calculate recovery percentage
Linearity of dilution testing:
Dilute samples serially
Confirm proportional signal reduction
Precision assessment:
Within-run precision (replicates in same assay)
Between-run precision (replicates across days)
Between-operator precision