GLR3.1 Antibody

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Description

Definition and Biological Context of GLRAntibody

The GLR3.1 antibody is a monoclonal antibody developed to study the rice glutamate receptor-like protein GLR3.1, a homolog of animal ionotropic glutamate receptors (iGluRs). This antibody enables the detection and functional analysis of GLR3.1, a membrane protein critical for root apical meristem (RAM) maintenance, cell division, and survival in rice (Oryza sativa) . GLR3.1 shares structural features with animal iGluRs, including three transmembrane domains (M1, M3, M4) and a reentrant pore-forming loop (M2), which governs ion selectivity and channel properties .

Protein Structure

  • Domains: Includes GlnH1 and GlnH2 ligand-binding domains, M2 pore loop, and conserved residues critical for ion channel function .

  • Sequence Homology: 37 invariant residues identical to Arabidopsis GLRs, with evolutionary proximity to clade III plant GLRs .

Gene Features

  • GenBank Accession: DQ305408 .

  • Exon-Intron Structure: Distinctive organization in the M2 region, akin to kainate-type iGluRs .

Antibody Production

  • Immunogen: A C-terminal 81–amino acid polypeptide (residues 858–938) of rice GLR3.1 fused with a 6×His tag .

  • Host: Mouse monoclonal antibody generated using recombinant protein expressed in Escherichia coli BL21 (DE3) .

Validation Data

ApplicationMethodResult
Western Blot (WB)Crude membrane proteins from rice seedlingsDetected ~103 kDa band in wild-type and complemented mutants; absent in glr3.1 mutants .
Functional LocalizationConfocal microscopyConfirmed GLR3.1-GFP fusion protein localization in HEK293 cells .

Role in Root Development

  • Cell Division: Enhanced BrdU incorporation in glr3.1 mutants led to excessive lateral root cap layers, indicating disrupted cell cycle regulation .

  • Cell Death: Mutant roots exhibited increased shedding of root cap cells, linking GLR3.1 to survival signaling .

Calcium Signaling

  • GLR3.1’s ion channel activity may mediate calcium fluxes in response to environmental stimuli (e.g., aluminum toxicity), akin to other plant GLRs .

Comparative Analysis with Mammalian GluR Antibodies

While GLR3.1 is plant-specific, antibodies targeting mammalian GluRs (e.g., GluA3/GRIA3) share methodological parallels:

AntibodyHostApplicationsKey FindingsSource
Anti-GluA3 (ab40845)RabbitWB, IF-PDetects ~101 kDa band in human/mouse brain lysates .
Anti-GluR3 (MAB11329)MouseICC, WBLocalizes GluR3 in human thyroid cancer cells .

Applications of GLRAntibody in Research

  • Protein Expression Profiling: Used to confirm GLR3.1 knockout lines and study tissue-specific expression .

  • Subcellular Localization: FRET assays with EGFP/ECFP fusions revealed homomeric interactions in HEK293 cells .

  • Stress Response Studies: Potential utility in exploring GLR3.1’s role in calcium signaling under abiotic stress (e.g., salt, heavy metals) .

Limitations and Future Directions

  • Species Specificity: No cross-reactivity with mammalian GluRs reported.

  • Functional Assays: Channel activity of plant GLRs remains uncharacterized in electrophysiological systems .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
GLR3.1 antibody; Os04g0585200 antibody; LOC_Os04g49570 antibody; OSJNBa0013K16.8Glutamate receptor 3.1 antibody; Ligand-gated ion channel 3.1 antibody
Target Names
GLR3.1
Uniprot No.

Target Background

Function
GLR3.1 Antibody targets a glutamate-gated receptor that likely functions as a non-selective cation channel. This receptor plays a crucial role in root development and may regulate cell proliferation and programmed cell death in the root apex.
Database Links

STRING: 39947.LOC_Os04g49570.1

UniGene: Os.15729

Protein Families
Glutamate-gated ion channel (TC 1.A.10.1) family
Subcellular Location
Membrane; Multi-pass membrane protein.
Tissue Specificity
Expressed at low levels in roots and leaves.

Q&A

What is GLR3.1 and what cellular functions does it regulate?

GLR3.1 is a plant glutamate receptor-like gene that encodes a membrane protein with a predicted molecular mass of 103 kD. The GLR3.1 protein contains all signature domains of animal ionotropic glutamate receptors (iGluRs), including three transmembrane domains (M1, M3, and M4), one reentrant membrane domain (M2), and putative ligand binding domains (GlnH1 and GlnH2) .

Research shows that GLR3.1 plays critical roles in:

  • Maintenance of cell division in the root apical meristem (RAM)

  • Individual cell survival in root development

  • Regulation of cell proliferation and cell death in the root apex

GLR3.1 affects different cell types distinctly. For example, in rice, GLR3.1 mutants show enhanced BrdU incorporation in the lateral root cap but not in columella, leading to more cell layers in the lateral root cap and increased cell shedding .

How do I validate GLR3.1 antibody specificity before experimental use?

Antibody validation for GLR3.1 requires multiple complementary approaches:

  • Western blot analysis: Compare protein detection in wild-type, mutant, and complemented mutant lines. A specific antibody will show bands at the expected molecular weight (~103 kD) in wild-type and complemented lines but not in the knockout mutant .

  • Comparative detection: Test the antibody against both positive and negative control tissues. For example, brain tissue typically expresses glutamate receptors at high levels, while certain cell lines like THP-1 show negative expression .

  • Phosphatase treatment control: For phospho-specific GLR antibodies, treat one sample with lambda phosphatase (λ-PPase) before immunoblotting. This should eliminate the signal if the antibody is truly phospho-specific .

  • Immunofluorescence validation: Perform immunofluorescence on tissues from wild-type and knockout specimens to confirm specificity of staining patterns .

  • Peptide competition: Pre-incubate the antibody with the immunizing peptide prior to application to verify that the peptide blocks specific binding.

What are the optimal conditions for detecting GLR3.1 in plant tissues?

Based on research findings with GLR family proteins, the following protocol is recommended:

Western Blot Protocol for GLR3.1 Detection in Plant Tissues:

  • Sample preparation:

    • Extract crude membrane proteins from 7-day-old seedlings using the method described by Rogers et al. (1991)

    • Separate proteins by SDS-PAGE and transfer to polyvinylidene difluoride (PVDF) membrane

  • Antibody incubation:

    • Primary antibody: Anti-GLR3.1 monoclonal antibody at 1:4000 dilution

    • Secondary antibody: Anti-mouse alkaline phosphatase-conjugated antibody at 1:3000 dilution

  • Detection:

    • Reaction buffer: 100 mM NaCl, 5 mM MgCl₂, and 100 mM Tris-Cl, pH 9.5

    • Add 1 mg/mL nitroblue tetrazolium and 0.5 mg/mL 5-bromo-4-chloro-3-indolyl phosphate

    • Stop reaction with 1 mM EDTA

  • Tissue selection: Root tissue, particularly the root apical meristem, shows highest GLR3.1 expression and is recommended for detection .

How can I design experiments to study GLR3.1 protein-protein interactions?

FRET (Fluorescence Resonance Energy Transfer) analysis is the preferred method for studying GLR3.1 interactions. The following experimental design is based on successful approaches with glutamate receptor-like proteins:

FRET Protocol for Detecting GLR3.1 Interactions:

  • Construct preparation:

    • Amplify full-length GLR3.1 cDNA using AccuPrime Pfx DNA polymerase

    • Include Gateway directional cloning modification (CACC) at the 5' end of forward primers

    • Clone into pENTR-D entry vector

    • Generate C-terminally tagged GLR3.1 constructs with ECFP and EYFP fluorescent proteins

  • Cell culture and transfection:

    • Culture HEK293T cells in DMEM-GlutaMAX with 10% FBS and antibiotics

    • Plate 5 × 10⁵ cells per well on collagen-coated glass coverslips

    • Transfect with 1 μg plasmid DNA using FuGENE 6 transfection reagent

    • For co-transfections, use 1:1 ratio (0.5 μg + 0.5 μg)

  • FRET measurement:

    • Perform acceptor photobleaching 12-48 hours post-transfection

    • Collect fluorescence signals with a confocal microscope

    • Photobleach at 514 nm to reduce YFP emissions to <15%

    • Acquire images before and after photobleaching

    • Calculate FRET efficiency using the formula: EF = (A₁− A₀) × 100/A₀
      (where A₀ and A₁ represent CFP emission before and after photobleaching)

  • Controls: Include positive controls (ECFP-EYFP fusion) and negative controls (separate ECFP and EYFP) .

SampleAverage FRET EfficiencySample Size
GLR3.1-ECFP + GLR3.1-EYFP11.36 ± 1.37n = 16
Positive control (ECFP-EYFP)15.93 ± 0.84n = 21
Negative control (ECFP + EYFP)1.28 ± 0.89n = 22

Why do GLR3.1 homomultimers fail to reach the plasma membrane in heterologous expression systems?

This question addresses a significant challenge in GLR3.1 research. Experimental evidence shows that GLR3.1-EGFP fusion proteins are retained in the endoplasmic reticulum (ER) rather than reaching the plasma membrane when expressed in human HEK293 cells .

Several hypotheses explain this phenomenon:

  • Assembly deficiency: In animals, functional iGluRs are typically composed of heteromeric multimers. The ER serves as a primary checkpoint to prevent improperly assembled glutamate receptor complexes from reaching the cell surface . GLR3.1 may require specific plant cofactors or partner proteins absent in mammalian cells.

  • Missing trafficking signals: Animal iGluRs possess C-terminal protein trafficking signals that regulate their surface expression. Similar motifs may be absent or incompatible in plant GLR3.1 when expressed in mammalian systems .

  • Evolutionary distance: The significant evolutionary distance between plants and mammals may render heterologous mammalian expression systems unsuitable for plant ion channels .

Research approaches to address this challenge include:

  • Co-expression of GLR3.1 with other rice GLR-like proteins to identify potential heteromeric partners

  • Examination of the C-terminus for trafficking motifs

  • Development of plant cell expression systems as alternatives to mammalian systems

How can I differentiate between specific GLR3.1 antibody binding and cross-reactivity with other GLR family members?

This represents a substantial challenge due to the high sequence conservation among glutamate receptor family members. For example, alignment analysis shows high similarity between rice GLR3.1 and all 20 members of the Arabidopsis GLR family, especially in the M3 transmembrane domain .

Recommended methodological approaches:

  • Epitope selection strategy:

    • Target the C-terminal region (as done successfully with the 81-amino acid polypeptide of GLR3.1)

    • Avoid highly conserved regions like the M3 transmembrane domain

    • Perform sequence alignment to identify unique epitopes

  • Cross-reactivity testing panel:

    • Test antibody against tissues from multiple GLR knockout lines

    • Create a cross-reactivity table showing signal strength against different GLR proteins

  • Antibody absorption controls:

    • Pre-absorb the antibody with recombinant proteins from closely related GLRs

    • Compare the signal before and after absorption

  • Mass spectrometry validation:

    • Perform immunoprecipitation followed by mass spectrometry to confirm the identity of the protein being recognized

What methods can effectively measure GLR3.1 channel activity in plant cells?

Current research indicates challenges in directly measuring GLR3.1 channel activity. Neither Xenopus oocytes nor HEK293 cells, the most commonly used heterologous expression systems for ionotropic glutamate receptors, have yielded successful current recordings for GLR3.1 .

Alternative methodological approaches include:

  • Calcium imaging in plant cells:

    • Express GLR3.1 with genetically encoded calcium indicators (GECIs)

    • Apply potential agonists and measure fluorescence changes

    • Compare responses in wild-type vs. GLR3.1 mutant tissues

  • Electrophysiological recordings in plant protoplasts:

    • Isolate protoplasts from tissues expressing GLR3.1

    • Perform patch-clamp recordings with various potential agonists

    • Compare conductance between wild-type and knockout lines

  • Indirect functional assays:

    • Monitor root growth and development under various amino acid treatments

    • Perform BrdU incorporation assays to assess cell division

    • Compare wild-type and mutant responses to identify GLR3.1-dependent signaling

  • Heterologous co-expression strategies:

    • Co-express GLR3.1 with other plant GLRs in mammalian cells

    • Test whether heteromeric complexes can reach the plasma membrane

    • Measure channel activity of heteromeric complexes

How do experimental techniques for studying plant GLRs differ from those used for animal glutamate receptors?

This question addresses the methodological adaptations required when studying plant glutamate receptor-like proteins compared to their animal counterparts:

AspectAnimal GluR TechniquesPlant GLR AdaptationsReasons for Differences
Expression systemsXenopus oocytes, HEK293 cellsOften retained in ER; plant cell systems neededEvolutionary distance; different protein trafficking machinery
ElectrophysiologyPatch-clamp of neurons or transfected cellsChallenging in plants; requires protoplastsPlant cell walls; plasma membrane trafficking issues
Agonist profilingGlutamate, AMPA, kainate, NMDABroader range including Asn, Gln, Gly, SerDistinct ligand specificity evolution
Multimerization analysisCo-IP, blue native PAGEFRET more reliable for plant GLRsDifferences in complex stability during extraction
Functional assaysSynaptic transmission, Ca²⁺ influxRoot development, Ca²⁺ signaling, defense responsesDifferent physiological roles
Knockout phenotypesNeurological defectsAltered root development, defense responsesDivergent biological functions

How should I interpret contradictory results between in vitro and in vivo studies of GLR3.1?

This advanced question addresses a significant challenge in GLR3.1 research. The search results reveal several contradictions between heterologous expression studies and in planta observations:

  • Subcellular localization discrepancy:

    • In HEK293 cells: GLR3.1 is retained in the endoplasmic reticulum

    • In planta: GLR3.1 presumably functions at the plasma membrane to regulate cell division and survival

  • Channel activity detection:

    • In heterologous systems: No successful current recordings

    • In planta: Clear phenotypic effects suggesting functional channel activity

  • Desensitization properties:

    • In heterologous systems: Glutamate receptor-like proteins show sustained currents without desensitization

    • In planta: GLRs demonstrate desensitization properties

Methodological approach to resolve these contradictions:

  • Systematic comparison:

    • Document all experimental conditions in both systems

    • Identify potential cofactors present in plants but absent in heterologous systems

    • Test whether adding plant-specific components to heterologous systems resolves discrepancies

  • Alternative expression systems:

    • Use plant-derived protoplasts or cell cultures

    • Develop plant-specific heterologous expression systems

    • Compare results across multiple systems

  • Combined approaches:

    • Use structure-function analysis guided by in silico modeling

    • Perform correlation analysis between in vitro binding studies and in vivo phenotypes

    • Employ chimeric proteins combining domains from plant and animal glutamate receptors

What statistical approaches are most appropriate for analyzing GLR3.1 antibody immunohistochemistry data?

When analyzing immunohistochemistry data for GLR3.1 localization patterns, researchers face several challenges including background signals, variations in expression levels, and potential cross-reactivity. Here are recommended statistical approaches:

  • Quantitative image analysis:

    • Measure fluorescence intensity relative to background

    • Calculate signal-to-noise ratios across different tissues

    • Use software like ImageJ with standardized macros for consistency

  • Appropriate statistical tests:

    • For comparing staining between wild-type and mutant: paired t-test or Wilcoxon signed-rank test

    • For multiple tissue comparisons: ANOVA with post-hoc tests

    • For colocalization analysis: Pearson's or Mander's correlation coefficients

  • Controls for statistical validity:

    • Include negative controls (primary antibody omission, pre-immune serum)

    • Use both positive controls (tissues known to express GLR3.1) and negative controls (knockout tissues)

    • Process all samples simultaneously to minimize batch effects

  • Data presentation standards:

    • Report sample sizes and p-values

    • Include representative images alongside quantification

    • Present data in box plots showing distribution rather than simple bar graphs

Example analytical table format:

Tissue TypeMean Fluorescence Intensity (AU)Signal-to-Background Ratio% Cells Showing LocalizationStatistical Significance
Wild-type RAM78.3 ± 5.44.2 ± 0.686.5%Reference
GLR3.1 mutant RAM12.1 ± 3.20.8 ± 0.38.7%p<0.001
Complemented line RAM75.1 ± 6.13.9 ± 0.582.3%p=0.68 (vs WT)

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