GPRIN3 Antibody

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Product Specs

Buffer
The antibody is provided as a liquid solution in phosphate-buffered saline (PBS) containing 50% glycerol, 0.5% bovine serum albumin (BSA), and 0.02% sodium azide.
Form
Liquid
Lead Time
Orders are typically shipped within 1-3 business days of receipt. Delivery times may vary depending on the purchase method and location. Please contact your local distributor for specific delivery details.
Synonyms
GPRIN3 antibody; KIAA2027G protein-regulated inducer of neurite outgrowth 3 antibody; GRIN3 antibody
Target Names
GPRIN3
Uniprot No.

Target Background

Function
GPRIN3 may play a role in neurite outgrowth.
Gene References Into Functions
  1. Functional compensation may occur to counteract the loss of one allele in GRIN2C and GRIN3 family genes. PMID: 22833210
Database Links

HGNC: 27733

OMIM: 611241

KEGG: hsa:285513

STRING: 9606.ENSP00000328672

UniGene: Hs.100912

Q&A

What is GPRIN3 and why is it significant in neurological research?

GPRIN3 is a member of the GPRIN family that is highly expressed in the striatum and plays a critical role in dopaminergic pathways. The protein functions as a mediator of D2R (dopamine receptor) signaling in the striatum with preferential expression in indirect medium spiny neurons (iMSNs) . Recent studies using GPRIN3 knockout (KO) mice generated via CRISPR/Cas9 technology have demonstrated that GPRIN3 controls neuronal excitability, morphology, and striatal-associated behaviors . The significance of GPRIN3 extends to potential clinical applications, as it represents a new target for addressing striatal dysfunctions associated with D2R, including schizophrenia, Parkinson's disease, and drug addiction .

What are the primary applications for GPRIN3 antibodies in neuroscience research?

GPRIN3 antibodies serve multiple critical functions in neuroscience research:

  • Protein expression analysis: Western blot applications to detect GPRIN3 protein expression in various brain regions, particularly the striatum

  • Cellular localization studies: Immunohistochemistry (IHC) and immunofluorescence to map GPRIN3 distribution in brain tissues

  • Protein-protein interaction studies: Investigating GPRIN3's interactions with dopamine receptors and related signaling proteins

  • Model validation: Confirming knockout or knockdown efficiency in GPRIN3 KO mouse models or shRNA experiments

  • Pathological investigations: Examining alterations in GPRIN3 expression in neurological disorders, particularly those involving striatal dysfunction

How does GPRIN3 expression vary across different brain regions?

Research has demonstrated a notable pattern of GPRIN3 expression across neural tissues:

Brain RegionRelative GPRIN3 ExpressionNotes
StriatumVery highPreferential expression in iMSNs
Prefrontal Cortex (PFC)LowSignificantly lower than striatum
HippocampusLowSignificantly lower than striatum
CerebellumLowSignificantly lower than striatum

The higher expression of GPRIN3 in iMSNs is potentially related to the fact that D2R are Gαi/o protein-coupled receptors, making them more likely functional partners of GPRINs, whereas D1R (expressed in dMSNs) are Gs-olf protein-coupled receptors .

What controls should be included when using GPRIN3 antibodies for immunohistochemistry?

When designing experiments using GPRIN3 antibodies for immunohistochemistry, the following controls are essential:

  • Negative controls:

    • Omission of primary antibody to assess secondary antibody non-specific binding

    • Use of tissue from GPRIN3 knockout animals (if available)

    • Non-relevant isotype control antibodies

  • Positive controls:

    • Tissues with known high GPRIN3 expression (striatum)

    • Recombinant GPRIN3 protein expression systems

  • Specificity controls:

    • Peptide competition assays where antibody is pre-incubated with the immunizing peptide

    • Western blot validation running in parallel to confirm specific binding at the expected molecular weight (approximately 80-82.4 kDa)

  • Cross-validation:

    • Comparison of staining patterns using multiple GPRIN3 antibodies targeting different epitopes

    • Correlation with mRNA expression data from the same regions

An additional band of unknown identity at 26kDa has been observed with some GPRIN3 antibodies, which can be blocked by incubation with the immunizing peptide . This should be accounted for in experimental planning.

How should experiments be designed to investigate GPRIN3's relationship with dopamine receptor signaling?

To effectively study GPRIN3's role in dopamine receptor signaling, consider the following experimental design:

  • Genetic manipulation approaches:

    • GPRIN3 knockout mice generated using CRISPR/Cas9 technology

    • Cell-specific knockdown using shRNA targeting GPRIN3 mRNA in iMSNs

    • Cross-breeding with reporter strains (e.g., D2-eGFP) for cell identification

  • Functional analyses:

    • Electrophysiological recordings to measure changes in neuronal excitability

    • 3D reconstruction analysis of MSNs to assess neuronal arborization

    • Behavioral assays to assess motivation and cocaine-induced hyperlocomotion

  • Molecular interaction studies:

    • Co-immunoprecipitation assays to detect GPRIN3-D2R protein interactions

    • Proximity ligation assays to confirm protein interactions in situ

    • BRET/FRET assays to study real-time interactions in living cells

  • Signaling pathway analysis:

    • Phosphorylation state analysis of downstream D2R signaling components

    • β-arrestin recruitment assays, as GPRIN3 has been identified as a partner of β-arrestin-2

    • G-protein activation assays focusing on Gαi/o pathways

This comprehensive approach enables examination of GPRIN3's role in D2R signaling from molecular interactions to behavioral consequences.

What methodological considerations are important when using GPRIN3 antibodies for Western blot analysis?

When performing Western blot analysis with GPRIN3 antibodies, consider these methodological factors:

  • Sample preparation:

    • Fresh tissue extraction with appropriate protease inhibitors

    • For brain tissues, region-specific dissection is critical given the variable expression

    • Proper homogenization techniques to ensure complete protein extraction

  • Running conditions:

    • Expected molecular weight of GPRIN3 is approximately 80-82.4 kDa

    • Use appropriate gel percentage (typically 8-10% SDS-PAGE) for optimal resolution

    • Include molecular weight markers that span 25-100 kDa range

  • Antibody dilution and incubation:

    • Recommended concentration for Western blot: 1-3 μg/ml

    • Optimal dilution should be determined empirically for each antibody

    • Overnight incubation at 4°C may yield better results than shorter incubations

  • Signal detection and interpretation:

    • Be aware of potential additional bands (e.g., 26 kDa band of unknown identity)

    • Validate specificity through peptide competition assays

    • Compare results across multiple antibodies if possible

  • Controls:

    • Positive control: hippocampus lysates have been documented to show appropriate band

    • Negative control: samples from GPRIN3 knockout animals

    • Loading controls: housekeeping proteins such as RER-1 or RPL13 have been used in GPRIN3 studies

How can GPRIN3 antibodies be used to investigate neuronal morphology changes?

GPRIN3 antibodies can be instrumental in studying neuronal morphology through these approaches:

  • Immunofluorescence co-labeling:

    • Combine GPRIN3 antibodies with neuronal structural markers (MAP2, β-III-tubulin)

    • Use with dendritic markers (PSD-95) and axonal markers (Tau) to assess compartment-specific localization

    • Co-label with D2R to examine receptor-GPRIN3 colocalization

  • 3D reconstruction analysis:

    • Fixed tissue immunostaining followed by confocal microscopy and 3D image reconstruction

    • Quantitative analysis of neuronal arborization parameters (dendrite length, branching points, spine density)

    • Comparison between wildtype and GPRIN3 KO neurons to assess morphological changes

  • Live cell imaging:

    • Combine with fluorescent protein tagging for time-lapse studies

    • Monitor morphological changes in response to dopamine receptor activation/inhibition

    • Assess cytoskeletal dynamics in GPRIN3-expressing neurons

  • Super-resolution microscopy:

    • STED or STORM imaging for nanoscale localization of GPRIN3 in neuronal structures

    • Quantitative analysis of GPRIN3 clustering in dendritic spines or presynaptic terminals

These approaches have revealed that GPRIN3 KO mice exhibit increased neuronal arborization in MSNs, suggesting GPRIN3's role in regulating neuronal morphology, potentially through D2R signaling pathways .

What techniques are recommended for studying GPRIN3's role in cell type-specific contexts?

To investigate GPRIN3 in cell type-specific contexts, consider these methodological approaches:

  • Cell sorting and isolation techniques:

    • Fluorescence-activated cell sorting (FACS) of labeled neuronal populations

    • Use of transgenic reporter lines (Adora2a-Cre/tdTomato for iMSNs, D1-Cre/tdTomato for dMSNs)

    • Laser capture microdissection of specific brain regions

  • Single-cell analysis:

    • Single-cell RNA sequencing to profile GPRIN3 expression across neuronal subtypes

    • Patch-clamp electrophysiology combined with single-cell RT-PCR for functional correlation

    • Quantitative immunofluorescence to measure GPRIN3 protein levels in individual cells

  • Cell type-specific genetic manipulation:

    • Cre-dependent conditional knockout of GPRIN3 in specific neuronal populations

    • Cell type-specific shRNA knockdown using specific promoters

    • Viral-mediated gene transfer targeting specific cell populations

  • Functional assessment:

    • Electrophysiological recordings from identified neuronal populations expressing GPRIN3

    • Calcium imaging in specific cell types with simultaneous GPRIN3 manipulation

    • Behavioral assays following cell type-specific GPRIN3 manipulation

These techniques have successfully revealed GPRIN3's preferential expression in iMSNs and its functional role in these neurons .

How might GPRIN3 antibodies be utilized in cancer research, particularly regarding the Wnt/β-catenin pathway?

Recent findings indicate potential applications for GPRIN3 antibodies in cancer research:

  • Expression analysis in tumor tissues:

    • Immunohistochemistry to assess GPRIN3 expression across tumor types and grades

    • Tissue microarray analysis for high-throughput screening of multiple cancer samples

    • Correlation of GPRIN3 expression with clinical outcomes

  • Signaling pathway investigation:

    • Co-immunoprecipitation to identify GPRIN3 interaction partners in cancer cells

    • Proximity ligation assays to confirm protein interactions in situ

    • Western blot analysis of Wnt/β-catenin pathway components in relation to GPRIN3 expression/manipulation

  • Functional studies:

    • GPRIN3 antibodies for neutralization experiments in cancer cell lines

    • Knockdown/overexpression studies followed by antibody-based detection of pathway components

    • Nuclear/cytoplasmic fractionation and analysis of β-catenin localization

  • Clinical applications:

    • Development of prognostic tools based on GPRIN3 expression patterns

    • Therapeutic target validation using antibody-based approaches

    • Patient stratification based on GPRIN3/Wnt pathway activation status

Recent research has demonstrated that miR-6838-5p targets GPRIN3 to repress the Wnt/β-catenin signaling pathway in gastric cancer, suggesting GPRIN3 as a potential oncogenic factor in this context .

What are common challenges in GPRIN3 antibody experiments and how can they be addressed?

Researchers working with GPRIN3 antibodies may encounter several challenges:

  • Specificity issues:

    • Problem: Unexpected bands or non-specific staining

    • Solution: Validate antibodies using knockout tissues , peptide competition assays , and multiple antibodies targeting different epitopes

  • Variable expression levels:

    • Problem: Inconsistent detection across samples

    • Solution: Careful consideration of brain region specificity (striatum shows highest expression) , use of appropriate positive controls, and optimization of protein extraction protocols

  • Additional bands in Western blot:

    • Problem: Unexpected band at 26 kDa observed with some antibodies

    • Solution: Peptide competition assays to confirm specificity , consideration of potential splice variants or post-translational modifications

  • Cross-reactivity:

    • Problem: Antibody recognizing related GPRIN family members

    • Solution: Epitope selection away from conserved regions, validation in systems expressing specific GPRIN family members, and careful antibody titration

  • Species-specific considerations:

    • Problem: Variable performance across species

    • Solution: Selecting antibodies validated for the species of interest, sequence alignment analysis before selection, and pilot testing in relevant tissues

What optimization strategies can improve signal detection in immunohistochemistry with GPRIN3 antibodies?

To enhance signal detection when using GPRIN3 antibodies for immunohistochemistry:

  • Antigen retrieval optimization:

    • Test multiple methods (heat-induced vs. enzymatic)

    • Optimize pH conditions (citrate buffer pH 6.0 vs. EDTA buffer pH 9.0)

    • Adjust retrieval duration based on tissue fixation conditions

  • Antibody concentration and incubation:

    • Titrate primary antibody (recommended starting dilutions: 1:200-1:500)

    • Extend primary antibody incubation (overnight at 4°C)

    • Optimize secondary antibody concentration to maximize signal while minimizing background

  • Signal amplification techniques:

    • Tyramide signal amplification for low-abundance targets

    • Biotin-streptavidin systems for enhanced sensitivity

    • Use of polymer-based detection systems

  • Reduction of background staining:

    • Implement additional blocking steps (avidin/biotin blocking, protein blocking)

    • Preabsorption of antibodies with non-specific proteins

    • Optimize washing procedures (increased duration/frequency)

  • Sample preparation considerations:

    • Test different fixation protocols (duration, fixative composition)

    • Optimize section thickness (typically 3-5 μm for GPRIN3 detection)

    • Fresh frozen vs. paraffin-embedded tissue comparison

How can quantitative analysis of GPRIN3 expression be optimized in research studies?

For reliable quantitative analysis of GPRIN3 expression:

  • RT-qPCR optimization:

    • Reference gene selection: RER-1 and RPL13 have been validated for GPRIN3 studies

    • Primer design: Commercial primers (e.g., Mm_Gprin3_1_SG QuantiTect) have been validated

    • Sample preparation: RNA extraction protocols optimized for brain tissue

  • Western blot quantification:

    • Linearity validation across protein concentration range

    • Use of appropriate normalization controls

    • Digital imaging and analysis software for consistent quantification

  • Immunofluorescence quantification:

    • Standardized image acquisition parameters

    • Background subtraction methods

    • Cell-by-cell analysis vs. region-of-interest approaches

  • Cell sorting approaches:

    • FACS protocols for neuronal subpopulations using reporter lines

    • RNA extraction optimization from sorted cells

    • Minimum cell number determination for reliable detection

  • Single-cell analysis considerations:

    • Protocol adaptation for limited material

    • Multiplexing with other markers for contextual analysis

    • Appropriate statistical approaches for single-cell data

These optimization strategies can significantly improve the reliability and reproducibility of GPRIN3 expression analysis across different experimental paradigms.

How might GPRIN3 antibodies be utilized in studying neurological disorders beyond those currently investigated?

GPRIN3 antibodies could extend into several emerging research areas:

  • Neurodevelopmental disorders:

    • Investigating GPRIN3's role in neuronal circuit formation during development

    • Examining potential alterations in GPRIN3 expression/function in autism spectrum disorders

    • Assessing GPRIN3's contribution to dopaminergic development in ADHD models

  • Neurodegenerative diseases:

    • Beyond Parkinson's disease, exploring GPRIN3 in Huntington's disease, where striatal dysfunction is central

    • Investigating potential GPRIN3 alterations in Alzheimer's disease models, particularly regarding synaptic dysfunction

    • Examining GPRIN3's role in age-related neuronal morphology changes

  • Psychiatric disorders:

    • Further exploration in schizophrenia models, focusing on D2R-GPRIN3 interactions

    • Investigation in bipolar disorder, particularly relating to dopaminergic dysfunction

    • Assessment in depression models, examining potential striatal contributions

  • Substance use disorders:

    • Expanding beyond cocaine to other substances of abuse

    • Investigating GPRIN3's role in reward processing and addiction vulnerability

    • Examining GPRIN3 as a potential therapeutic target for addiction treatment

  • Pain processing:

    • Exploring GPRIN3's potential role in striatal circuits involved in pain processing

    • Investigating dopamine-opioid interactions mediated by GPRIN3

Each of these directions would benefit from immunohistochemical and molecular approaches using well-validated GPRIN3 antibodies to map expression changes in disease states.

What are the potential applications of GPRIN3 antibodies in combination with emerging technologies?

Integration of GPRIN3 antibodies with cutting-edge technologies offers exciting research possibilities:

  • Spatial transcriptomics/proteomics:

    • Combining GPRIN3 antibody staining with spatial transcriptomics for correlative analysis

    • Multiplex protein detection systems to examine GPRIN3 in the context of signaling networks

    • Nanoscale mapping of GPRIN3 distribution within synaptic structures

  • Optogenetics/chemogenetics integration:

    • Combining GPRIN3 manipulation with optogenetic control of specific neuronal populations

    • Using GPRIN3 antibodies to confirm expression in DREADD-expressing neurons

    • Correlating GPRIN3 levels with functional responses to opto/chemogenetic stimulation

  • In vivo imaging applications:

    • Development of near-infrared GPRIN3 antibody conjugates for deep tissue imaging

    • Adaptation for two-photon microscopy applications in living brain tissue

    • Integration with genetically encoded calcium/voltage indicators

  • Therapeutic antibody development:

    • Engineering function-modulating GPRIN3 antibodies as potential therapeutic tools

    • Development of antibody-drug conjugates targeting GPRIN3-expressing cells

    • Creation of intrabodies for intracellular GPRIN3 targeting

  • Artificial intelligence integration:

    • Machine learning algorithms for automated GPRIN3 expression analysis in complex tissues

    • Pattern recognition in GPRIN3 distribution across different neurological conditions

    • Predictive modeling of GPRIN3-related pathway interactions

These integrative approaches represent the cutting edge of GPRIN3 research potential, combining traditional antibody applications with emerging methodologies.

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