The GLR1.4 antibody, also known as anti-pan-AMPA receptor (GluR1-4), clone 2D8, is a monoclonal antibody that targets AMPA receptors . AMPA receptors (α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors) are crucial for mediating fast excitatory synaptic transmission in the central nervous system (CNS) . They play a key role in synaptic plasticity, learning, and memory . The GLR1.4 antibody is designed to recognize all four subunits of the AMPA receptor (GluR1, GluR2, GluR3, and GluR4) .
Western Blotting: The GLR1.4 antibody can be used to identify and quantify AMPA receptor subunits in cell lysates and tissue homogenates . It typically labels a single band at approximately 102 kDa corresponding to the GluR1 subunit in Western blot analysis .
Immunohistochemistry: This antibody is effective for visualizing the distribution and localization of AMPA receptors in tissue sections . It has been shown to produce strong labeling of GluR1 in the rat cortex and hippocampus .
ELISA: The GLR1.4 antibody can be used in Enzyme-Linked Immunosorbent Assays (ELISA) to detect and measure the levels of AMPA receptors in biological samples .
Immunocytochemistry and Immunofluorescence: It can be used to visualize the expression and localization of AMPA receptors in cultured cells .
Electron Microscopy: This antibody can be used to examine the ultrastructural localization of AMPA receptors in cells and tissues .
The GLR1.4 antibody demonstrates specificity for GluR1 and does not show immunolabeling of cells transfected with GluR2, 3, 4, 4C, 5, 6, and 7 .
Immunolabeling for GluR1 is completely abolished by pre-adsorption with synthetic rat GluR1 (894-907) at 5 µg per mL of diluted antibody .
In the context of autoimmune encephalitis, GLR1.4 antibody and similar antibodies that target AMPA receptors are used in research assays to improve the detection of the disease .
Rodent brain IHC is not specific to NMDAR encephalitis and may show similar abnormalities with other synaptic CNS autoimmune conditions .
GLR1.4 is used to study molecular and cellular innate immune responses in the murine model .
It is used in microarray techniques to compare the responses to GLA in an aqueous formulation or in an oil-in-water Stable Emulsion formulation (GLA-SE) versus either SE alone or the mineral salt aluminum hydroxide (alum) at the muscle injection site over multiple timepoints .
The GLR1.4 antibody targets a glutamate-gated receptor that likely functions as a non-selective cation channel. This receptor is capable of transporting calcium ions and may play a role in light signal transduction and calcium homeostasis through the regulation of calcium influx into cells.
GluR4 antibodies detect the protein encoded by the gene GRIA4 (glutamate ionotropic receptor AMPA type subunit 4) in humans. This 902-amino acid protein belongs to the Glutamate-gated ion channel (TC 1.A.10.1) family, GRIA4 subfamily. GluR4 is primarily membrane-associated and contains multiple glycosylation sites. These antibodies are critical tools for studying AMPA receptor composition and distribution in neural tissues .
GluR4 antibodies demonstrate cross-reactivity across multiple species, with most commercial antibodies recognizing human, mouse, and rat orthologs. Some antibodies offer extended reactivity to chicken, monkey, and zebrafish GluR4. When selecting an antibody for your research, verify species reactivity in the product documentation, as epitope conservation varies across antibody clones .
GluR4 antibodies are validated for numerous research applications, with the most common being:
Western Blot (WB): Detecting GluR4 protein expression levels
Immunohistochemistry (IHC): Visualizing GluR4 distribution in tissue sections
Immunocytochemistry (ICC): Examining cellular localization
Immunofluorescence (IF): Determining subcellular localization
Flow Cytometry (FCM): Quantifying cell populations expressing GluR4
ELISA: Quantitative measurement of GluR4 levels
Immunoprecipitation (IP): Isolating GluR4-containing protein complexes
Polyclonal GluR4 antibodies recognize multiple epitopes on the GluR4 protein, offering high sensitivity but potential cross-reactivity. They're ideal for applications where signal amplification is necessary, such as detecting low-abundance GluR4 in certain brain regions.
Monoclonal GluR4 antibodies (e.g., Cell Signaling Technology's D41A11 XP® Rabbit mAb) recognize a single epitope, providing higher specificity but potentially lower sensitivity. They excel in applications requiring consistent lot-to-lot reproducibility and minimal background, such as quantitative Western blots or high-resolution immunofluorescence microscopy .
For optimal GluR4 detection in Western blots:
Tissue preparation: Rapidly extract brain tissue and immediately freeze in liquid nitrogen to prevent protein degradation
Lysis buffer composition: Use RIPA buffer supplemented with:
Protease inhibitors (Complete™ or equivalent)
Phosphatase inhibitors (PhosSTOP™ or equivalent) if detecting phosphorylated GluR4
1% sodium deoxycholate to effectively solubilize membrane proteins
Homogenization: Perform on ice using a Dounce homogenizer (15-20 strokes)
Centrifugation: 20,000g for 20 minutes at 4°C
Protein concentration: Determine using Bradford or BCA assay
Sample preparation: Mix 20-50μg protein with Laemmli buffer containing 5% β-mercaptoethanol
Denaturation: Heat at 70°C for 10 minutes (avoid boiling which can cause GluR4 aggregation)
Gel selection: 8% SDS-PAGE gels for optimal resolution of the ~102kDa GluR4 protein
Transfer: Semi-dry transfer at 25V for 45 minutes or wet transfer at 30V overnight at 4°C
Blocking: 5% non-fat dry milk in TBST for 1 hour at room temperature
Following this protocol ensures consistent GluR4 detection while minimizing background and non-specific binding .
Validating phospho-specific GluR4 antibodies (such as anti-GluR4 pS862) requires a systematic approach:
Phosphatase treatment control: Split your sample and treat half with lambda protein phosphatase; the phospho-specific signal should disappear in the treated sample
Stimulation paradigm: Compare samples from tissues/cells with known phosphorylation status:
Baseline (unstimulated)
Stimulated (e.g., with glutamate, AMPA, or PKA activators for S862 phosphorylation)
Stimulated plus kinase inhibitor
Peptide competition: Pre-incubate antibody with phosphorylated vs. non-phosphorylated peptide
Knockout/knockdown validation: Test in GluR4-null tissues or following siRNA-mediated knockdown
Mass spectrometry correlation: Verify phosphorylation status using orthogonal methods
Document each validation step with appropriate positive and negative controls to ensure the observed signal truly represents phosphorylated GluR4 .
Optimizing fixation for GluR4 immunohistochemistry depends on the antibody epitope location:
For antibodies targeting extracellular epitopes:
Light fixation with 2% paraformaldehyde for 20-30 minutes preserves antigenicity
Avoid methanol fixation which can denature extracellular domains
For antibodies targeting intracellular epitopes:
4% paraformaldehyde fixation for 24 hours (for tissue blocks) or 15 minutes (for cultured cells)
Post-fixation permeabilization with 0.1-0.3% Triton X-100
For phospho-specific antibodies:
Rapid fixation in ice-cold 4% paraformaldehyde containing phosphatase inhibitors
Phosphate-free fixatives may improve results
Always validate the fixation protocol through comparison experiments as GluR4 epitope accessibility varies among antibody clones .
Distinguishing between synaptic and extrasynaptic GluR4 requires sophisticated immunolabeling strategies:
Dual-immunofluorescence labeling:
Co-label with GluR4 antibody and established synaptic markers (PSD-95, Synapsin, Bassoon)
Quantify colocalization using Manders' overlap coefficient or Pearson's correlation coefficient
Non-overlapping GluR4 signal represents extrasynaptic pools
Proximity ligation assay (PLA):
Use GluR4 antibody with antibodies against synaptic scaffold proteins
PLA signal indicates <40nm proximity, identifying synaptic GluR4
Biochemical fractionation:
Prepare PSD (postsynaptic density), non-PSD synaptic, and extrasynaptic membrane fractions
Analyze GluR4 distribution across fractions via Western blot
Normalize to fraction-specific markers (PSD-95 for PSD, Na+/K+-ATPase for membrane)
Super-resolution microscopy:
Employ STED or STORM imaging with GluR4 antibodies
Identify receptor nanoclusters relative to synaptic boundaries
This approach offers 20-50nm resolution of receptor organization
This multifaceted approach provides complementary data on GluR4 distribution across subcellular compartments, crucial for understanding receptor trafficking dynamics .
When facing inconsistent GluR4 antibody performance, implement this systematic troubleshooting approach:
Epitope availability analysis:
Determine if your antibody targets extracellular, transmembrane, or intracellular domains
Extracellular epitopes may be masked by protein interactions or glycosylation
C-terminal epitopes may be obscured by scaffold protein binding
Application-specific optimization matrix:
| Parameter | Western Blot | IHC/ICC | Flow Cytometry |
|---|---|---|---|
| Antibody concentration | 1:500-1:2000 | 1:100-1:500 | 1:50-1:200 |
| Blocking agent | 5% milk or BSA | 10% serum | 2% BSA |
| Incubation time | Overnight at 4°C | 24-48h at 4°C | 1h at RT |
| Sample preparation | Denaturing | Native or fixed | Living or fixed |
| Signal amplification | HRP or AP | Fluorophore or TSA | Fluorophore |
Receptor state considerations:
Test if receptor activation affects epitope accessibility
Compare antibody performance in high vs. low activity states
Consider using glutamate receptor antagonists during sample preparation
Antibody validation hierarchy:
Test multiple GluR4 antibodies targeting different epitopes
Include knockout/knockdown controls
Use recombinant GluR4 as a positive control
Verify with orthogonal detection methods (e.g., mass spectrometry)
Thorough documentation of optimization parameters enables reproducible protocols across experiments .
Advanced multiplexed detection of AMPA receptor subunits requires careful experimental design:
Antibody selection criteria for multiplexing:
Host species diversity (rabbit anti-GluR1, mouse anti-GluR2, goat anti-GluR3, guinea pig anti-GluR4)
Isotype diversity within same host species (IgG1 vs. IgG2a mouse antibodies)
Directly conjugated primary antibodies with spectrally distinct fluorophores
Sequential immunostaining protocol:
First round: Incubate with first primary antibody, detect with secondary antibody
Elution step: Strip antibodies using glycine-HCl (pH 2.5) or SDS buffer
Subsequent rounds: Repeat with additional antibody pairs
Control for incomplete stripping and cross-reactivity
Mass cytometry (CyTOF) approach:
Label anti-GluR antibodies with distinct metal isotopes
Enables simultaneous detection of 40+ parameters
Ideal for comprehensive AMPA receptor composition analysis
Spectral unmixing fluorescence microscopy:
Uses antibodies with overlapping fluorescence spectra
Software algorithms separate signals based on spectral signatures
Increases multiplexing capacity to 8-10 targets simultaneously
Technical considerations for all methods:
Test for antibody cross-reactivity extensively
Include controls for epitope masking when multiple antibodies target the same protein
Validate quantification against known standards
These approaches enable comprehensive analysis of AMPA receptor subunit composition across diverse neural circuits and experimental conditions .
Selecting the optimal GluR4 antibody for trafficking studies requires consideration of several key parameters:
Epitope location strategy:
N-terminal/extracellular antibodies: Ideal for live-cell surface labeling and internalization assays
C-terminal/intracellular antibodies: Better for total receptor pool quantification
Phospho-specific antibodies: Essential for activity-dependent trafficking (e.g., pS862 for PKA-mediated surface expression)
Application-specific selection criteria:
Live imaging: Non-permeabilized conditions require extracellular epitope antibodies
Pulse-chase experiments: Primary antibodies that remain bound during endocytosis
Surface biotinylation: Antibodies validated to work in streptavidin pull-down conditions
Experimental design considerations:
Time-course resolution requirements (seconds, minutes, hours)
Need for quantitative vs. qualitative assessment
Compatibility with pharmacological manipulations
Validation experiments before trafficking studies:
Surface vs. intracellular staining patterns in control conditions
Antibody behavior following established trafficking stimuli (e.g., NMDA-induced internalization)
Correlation with tagged GluR4 constructs in heterologous systems
Proper antibody selection ensures accurate interpretation of GluR4 trafficking data in both physiological and pathological contexts .
Robust comparison of GluR4 levels across brain regions requires implementation of these critical controls:
Normalization strategy matrix:
| Normalization Method | Advantages | Limitations | Best Application |
|---|---|---|---|
| Total protein (Ponceau, REVERT) | Independent of single proteins | Requires additional staining | Western blot studies |
| Housekeeping proteins (β-actin, GAPDH) | Easy to implement | Expression varies by region | Within-region comparisons |
| Neuronal markers (NeuN, MAP2) | Controls for neuronal density | Doesn't account for glia | Immunohistochemistry |
| Internal GluR4 standards | Direct calibration | Requires recombinant protein | Absolute quantification |
Sample processing controls:
Process all regions simultaneously with identical protocols
Randomize sample order during processing and analysis
Include mixed-region standards on each gel/slide for inter-assay normalization
Regional composition considerations:
Account for different white/gray matter ratios
Normalize for synaptic density using synaptophysin
Consider cell-type specific markers for regions with diverse neuronal populations
Methodological validation:
Verify antibody specificity in each brain region separately
Confirm linear detection range encompasses expected GluR4 expression levels
Validate quantification with orthogonal methods (e.g., mass spectrometry, qPCR)
These rigorous controls enable reliable comparison of GluR4 expression across diverse brain regions with different cellular compositions and protein content .
Differentiating GluR4-containing AMPA receptors from other subtypes requires sophisticated analytical approaches:
Immunoprecipitation strategies:
Use GluR4-specific antibodies for IP followed by Western blotting for other subunits
Reverse approach: IP with other subunit antibodies, then blot for GluR4
Quantify relative abundance of heteromeric assemblies
Pharmacological dissection:
GluR4-containing receptors show distinct sensitivity to:
Faster desensitization kinetics compared to GluR2-containing receptors
Higher calcium permeability in GluR2-lacking assemblies
Differential sensitivity to polyamine modulation
Electrophysiological fingerprinting:
GluR4-dominant responses show:
Faster rise and decay kinetics
Distinct current-voltage relationships (particularly in GluR2-lacking receptors)
Characteristic single-channel conductance properties
Advanced imaging approaches:
Single-molecule tracking of differentially labeled subunits
FRET analysis between GluR4 and other subunits
Multi-color STORM imaging for nanoscale colocalization
Genetic manipulation controls:
Selective knockdown of GluR4 vs. other subunits
Use of subunit-specific dominant negative constructs
Rescue experiments with modified GluR4 constructs
These complementary approaches provide a comprehensive profile of GluR4-containing AMPA receptor populations and their functional significance .
When facing conflicting results from different GluR4 antibodies, implement this systematic resolution framework:
Epitope mapping comparison:
Determine precise epitope locations for each antibody
Assess potential post-translational modifications at each epitope
Evaluate epitope conservation across species if using different model systems
Validation hierarchy implementation:
Genetic validation: Test all antibodies in GluR4 knockout/knockdown tissues
Biochemical validation: Pre-absorb antibodies with immunizing peptides
Orthogonal method validation: Compare with mass spectrometry or in situ hybridization
Technical parameter assessment:
Evaluate fixation/extraction effects on each epitope
Test different sample preparation methods systematically
Determine if conflicting results are application-specific
Decision framework for resolving conflicts:
| Scenario | Resolution Approach | Example |
|---|---|---|
| Different absolute levels, same trend | Report relative changes | "While absolute GluR4 levels varied between antibodies, both showed 2-fold increase after treatment" |
| Different subcellular localization | Use subcellular fractionation to validate | Confirm membrane vs. cytosolic distribution biochemically |
| One antibody shows no signal | Validate with mRNA expression data | Correlate protein detection with known GluR4 transcript levels |
| Opposite trends observed | Multiple validation experiments required | Test in heterologous expression system with controlled GluR4 levels |
Reporting recommendations:
Transparently document discrepancies in methods section
Include supplementary data with all antibody results
Discuss biological implications of different antibody behaviors
This structured approach transforms conflicting results into deeper insights about GluR4 biology and antibody performance .
Selecting appropriate statistical methods for GluR4 expression analysis depends on experimental design and data characteristics:
Preliminary data assessment:
Test for normality using Shapiro-Wilk or Kolmogorov-Smirnov tests
Evaluate data spread and potential outliers
Assess homogeneity of variance with Levene's test
Statistical approach decision tree:
| Experimental Design | Statistical Test | Post-hoc Analysis | Effect Size Reporting |
|---|---|---|---|
| Two conditions (control vs. treatment) | Student's t-test or Mann-Whitney U | N/A | Cohen's d |
| Multiple conditions, one factor | One-way ANOVA or Kruskal-Wallis | Tukey's HSD or Dunn's test | η² or ω² |
| Multiple conditions, multiple factors | Factorial ANOVA | Bonferroni or Sidak | Partial η² |
| Repeated measures across conditions | RM-ANOVA or Friedman test | Paired comparisons with correction | Cohen's dz |
| Correlation of GluR4 with functional measures | Pearson's r or Spearman's ρ | N/A | R² or ρ² |
Proper statistical analysis ensures robust interpretation of GluR4 expression changes while minimizing both false positives and negatives .
Differentiating between expression changes and redistribution of GluR4 requires parallel analytical approaches:
| Parameter | Analysis Method | Expression Change | Redistribution |
|---|---|---|---|
| Total GluR4 | Western blot of whole lysate | Significant change | No change |
| Surface/total ratio | Surface biotinylation | No change | Significant change |
| mRNA levels | qPCR | Correlates with protein | No correlation |
| Synthesis rate | Pulse-chase labeling | Altered | Unchanged |
| Puncta intensity | Confocal microscopy | Uniform change | Regional differences |
| Lateral mobility | FRAP or single particle tracking | Minimal effect | Significantly altered |
This multifaceted approach provides definitive evidence distinguishing between true expression changes and subcellular redistribution of GluR4 receptors .