GPR132 Antibody

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Description

GPR132 Antibody Overview

GPR132 antibodies are specialized tools designed to detect and study the GPR132 receptor in experimental settings. These antibodies recognize specific epitopes, such as the second extracellular loop (residues 181–195 in humans), and are validated for applications like Western blotting and live-cell flow cytometry .

2.1. Cancer and Immune Regulation

GPR132 antibodies have been critical in elucidating the receptor’s role in tumor microenvironments:

ApplicationKey FindingsSource
Macrophage PolarizationGPR132 senses lactate in acidic tumor environments, promoting M2 macrophage activation and metastasis .
PPARγ–GPR132 AxisPPARγ represses GPR132 expression; Gpr132 deletion reduces tumor growth and inflammation .
AML DifferentiationGPR132 activation induces differentiation in acute myeloid leukemia (AML) cells .

2.2. Technical Validation

  • Western Blot: Detects GPR132 in human THP-1 (monocytic leukemia), Raji (B-cell lymphoma), and HL-60 (promyelocytic leukemia) cell lines .

  • Flow Cytometry: Confirms cell-surface expression in live THP-1 cells, with specificity validated using knockout (KO) models .

3.1. Mechanistic Insights

  • Lactate Sensing: GPR132 binds lactate in tumor microenvironments, driving metastasis via macrophage reprogramming .

  • Therapeutic Targeting:

    • GPR132-KO mice show reduced breast cancer lung metastasis .

    • Pharmacological inhibition of GPR132 decreases tumor growth and inflammation .

  • Differentiation Induction: Activation of GPR132 with agonists like 8-gingerol promotes AML differentiation via mTOR inhibition .

3.2. Clinical Correlations

  • High GPR132 expression in breast cancer correlates with poor prognosis and increased M2 macrophages .

  • GPR132 is upregulated in autoimmune disorders and lymphoid malignancies .

Implications for Drug Development

  • Cancer Therapy: Blocking GPR132 disrupts tumor–macrophage crosstalk, offering a strategy to inhibit metastasis .

  • Inflammation Modulation: GPR132 antibodies help identify small-molecule modulators for autoimmune diseases .

Table 1: GPR132 Antibody Validation in Cell Lines

Cell LineApplicationResult
THP-1 (monocytic)Western BlotStrong band at ~45 kDa
Raji (B-cell lymphoma)Western BlotWeak/no detection
HL-60 (promyelocytic)Western BlotModerate detection

Table 2: Functional Outcomes of GPR132 Modulation

InterventionEffectStudy
Gpr132 KnockoutReduced lung metastasis in breast cancer models
PPARγ ActivationDownregulates GPR132, suppressing tumor growth
8-Gingerol TreatmentActivates GPR132, inducing AML differentiation

Product Specs

Buffer
Liquid in PBS containing 50% glycerol, 0.5% BSA and 0.02% sodium azide.
Form
Liquid
Lead Time
Typically, we can ship products within 1-3 business days after receiving your order. Delivery time may vary depending on the purchase method or location. For specific delivery timelines, please consult your local distributors.
Synonyms
GPR132; G2A; Probable G-protein coupled receptor 132; G2 accumulation protein
Target Names
Uniprot No.

Target Background

Function
GPR132 may serve as a receptor for oxidized free fatty acids derived from linoleic and arachidonic acids, such as 9-hydroxyoctadecadienoic acid (9-HODE). It activates a G alpha protein, most likely G alpha(q). GPR132 may be involved in apoptosis and functions at the G2/M checkpoint to delay mitosis. It may function as a sensor that monitors oxidative states and mediates appropriate cellular responses, such as secretion of paracrine signals and attenuation of proliferation. GPR132 may mediate the accumulation of intracellular inositol phosphates at acidic pH through proton-sensing activity.
Gene References Into Functions
  1. GPR132 acts as a key macrophage sensor of elevated lactate in the acidic tumor microenvironment, mediating reciprocal interactions between cancer cells and macrophages during breast cancer metastasis. Lactate activation of macrophage GPR132 promotes an alternatively activated macrophage (M2)-like phenotype, facilitating cancer cell adhesion, migration, and invasion. PMID: 28049847
  2. High GPR132 expression is correlated with acute lymphoblastic leukemia. PMID: 27588474
  3. Coexpression of OGR1 and G2A (GPR132) enhances proton sensitivity and proton-induced calcium signals, attributed to oligomerization of these receptors. This oligomerization potentially positions the receptors at a specific site, leading to enhanced signaling. PMID: 27049592
  4. A novel G2A variant (G2A-b), which is the major transcript with functional response to ligand stimulation alongside G2A-a, was identified, enabling the differentiation of proton-sensing and oxidized fatty acid-sensing activities of G2A. PMID: 19855098
  5. G2A (GPR132) is a negative modifier of lymphoid leukemogenesis initiated by the BCR-ABL oncogene. PMID: 12086852
  6. In human coronary arterial specimens, G2A (GPR132) is expressed by macrophages within lipid-rich atherosclerotic plaques, whereas no immunoreactivity is observed in fibrous plaques where macrophages are absent. PMID: 12482833
  7. G2A (GPR132) can activate a specific combination of G proteins, and G2A/LPC-induced apoptosis involves both G alpha(13)- and G alpha(s)-mediated pathways. PMID: 12586833
  8. G2A (GPR132) was not detected in either brain or skin vascular endothelial cell types. PMID: 12805023
  9. G2A (GPR132) is a proton-sensing G-protein-coupled receptor antagonized by lysophosphatidylcholine. PMID: 15280385
  10. The activity of the human G2A (GPR132) receptor is less sensitive to pH fluctuations as measured by inositol phosphate and cAMP accumulation. PMID: 15665078
  11. Findings indicate that the G protein-coupled receptor G2A (GPR132) is a receptor for 9-hydroxyoctadecadienoic acid (9-HODE) and other oxidized free fatty acids and is activated by oxidized free fatty acids. PMID: 16236715
  12. G2A (GPR132) latent within neutrophil secretory vesicles may facilitate signaling through lysophospholipids for neutrophil activation and calcium flux. PMID: 17475884
  13. 9-HODE-G2A (GPR132) signaling plays proinflammatory roles in the skin under oxidative conditions. PMID: 18034171
  14. The G-protein-coupled receptor G2A (GPR132), unlike its relative GPR4, is involved in the chemotaxis of monocytic cells. PMID: 18089568

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Database Links

HGNC: 17482

OMIM: 606167

KEGG: hsa:29933

STRING: 9606.ENSP00000328818

UniGene: Hs.532504

Protein Families
G-protein coupled receptor 1 family
Subcellular Location
Cell membrane; Multi-pass membrane protein.
Tissue Specificity
Highly expressed in macrophages and hematopoietic tissues rich in lymphocytes, like spleen and thymus. Weakly expressed in heart and lung. In atherosclerotic plaques, expression is observed around the lipid core and at the shoulder region.

Q&A

Basic Research Questions

  • What is GPR132 and how is it identified in laboratory settings?

GPR132 is a G protein-coupled receptor with seven transmembrane domains, classified as a member of the proton-sensing GPCR subfamily. This 42.5 kDa protein (approximately 380 amino acids) is also known as G2A or probable G-protein coupled receptor 132 .

When identifying GPR132 in laboratory settings, researchers typically use:

  • Western blot analysis (predicted band size: 42 kDa)

  • Immunohistochemistry on tissues expressing GPR132

  • Flow cytometry for cell surface detection

GPR132 antibodies recognize specific epitopes, often from the extracellular domains or C-terminal region, with several validated antibodies showing reactivity to human, mouse, and monkey samples .

  • What are the primary applications for GPR132 antibodies in research?

GPR132 antibodies serve multiple research applications:

ApplicationRecommended DilutionCommon Uses
Western Blot (WB)1:500-1:2000Protein expression quantification
Immunohistochemistry (IHC)1:100-1:300Tissue localization studies
Immunofluorescence (IF)1:200-1:1000Subcellular localization
ELISAVariableQuantitative protein detection
Flow Cytometry~5 μg per testCell surface expression analysis

These applications help researchers investigate GPR132's role in:

  • Immune cell function (particularly in macrophages and NK cells)

  • Tumor microenvironment studies

  • Cell cycle regulation

  • Acid-sensing mechanisms

  • Where is GPR132 primarily expressed and how does this inform experimental design?

GPR132 shows tissue-specific expression patterns that should guide experimental design:

  • High expression: Hematopoietic tissues rich in lymphocytes (spleen, thymus), macrophages

  • Moderate expression: Found in various immune cells including dendritic cells, neutrophils, mast cells, T and B lymphocytes

  • Low expression: Heart and lung tissues

  • Pathological contexts: Upregulated in atherosclerotic plaques (particularly around lipid cores and shoulder regions)

When designing experiments:

  • Use appropriate positive controls (e.g., THP-1 monocytic leukemia cells, Raji B lymphocyte cells, or HL-60 promyelocytic leukemia cells)

  • Consider activation state (GPR132 expression is reduced in activated NK cells)

  • Account for potential upregulation in tumor-bearing models

  • What validation methods ensure GPR132 antibody specificity?

To ensure antibody specificity for GPR132:

  • Western blot analysis: Verify the band appears at the expected molecular weight (~42 kDa)

  • Knockout controls: Compare staining between wild-type and GPR132 knockout samples

  • Peptide competition assay: Pre-incubate antibody with immunizing peptide to block specific binding

  • Multiple antibody validation: Use antibodies targeting different epitopes of GPR132

  • Cross-reactivity testing: Test reactivity in different species based on sequence homology

  • Positive control tissues/cells: Use cells known to express GPR132 (e.g., THP-1, Raji, HL-60 cell lines)

Commercial antibodies are typically validated against known positive and negative samples to ensure specificity and high affinity .

Advanced Research Questions

  • How can researchers effectively study the role of GPR132 in NK cell function?

Recent research has uncovered GPR132's importance in NK cell regulation through the Gαs/CSK/ZAP70/NF-κB signaling axis . To study this:

  • NK cell isolation and modification:

    • Isolate NK cells from spleens of wild-type and GPR132⁻/⁻ mice

    • Use shRNA approaches to knock down GPR132 in NK92 cells (human NK cell line)

    • Compare with GPR132 agonist treatment (e.g., ONC212)

  • Functional assays:

    • Cytotoxicity assays: Co-culture modified NK cells with target cells (e.g., K562, Yac-1) at different effector-to-target ratios

    • Flow cytometry: Measure expression of activation markers (CD69, CD107a), cytokines (IFN-γ), and cytotoxic molecules (GzmB)

    • Proliferation: Assess Ki67 expression

    • Apoptosis resistance: Culture without IL-2 and measure survival and Bcl-2 expression

  • Mechanistic studies:

    • Analyze phosphorylation of ZAP70 and nuclear translocation of NF-κB

    • Use specific inhibitors of Gαs or CSK to confirm pathway involvement

    • Investigate receptor internalization upon activation

  • In vivo models:

    • Tumor challenge models in GPR132⁻/⁻ vs. wild-type mice

    • Adoptive transfer of GPR132-modified NK cells to assess tumor control

  • What approaches are most effective for investigating GPR132's role in macrophage polarization and the tumor microenvironment?

GPR132 significantly impacts macrophage polarization and tumor progression through lactate sensing:

  • Macrophage polarization assessment:

    • Isolate macrophages from wild-type and GPR132⁻/⁻ mice or use siRNA/CRISPR in human macrophages

    • Treat with tumor-conditioned media or purified lactate

    • Analyze M1/M2 marker expression by flow cytometry, qPCR, and ELISA

    • Use lactate receptor antagonists to confirm specificity

  • Lactate-GPR132 interaction studies:

    • Use pH-responsive fluorescence sensors (e.g., Probe 5c) to detect acidification

    • Measure calcium flux or cAMP production upon lactate exposure

    • Perform binding assays with labeled lactate

    • Compare responses in GPR132-expressing vs. control cells

  • Tumor-macrophage co-culture systems:

    • Use transwell systems to assess paracrine effects

    • Evaluate cancer cell adhesion, migration, and invasion in presence of differently polarized macrophages

    • Block GPR132 using antibodies or small molecules to assess functional impact

  • In vivo metastasis models:

    • Orthotopic breast cancer models in GPR132⁻/⁻ vs. wild-type mice

    • Track spontaneous metastasis (e.g., EO771.LMB cells show aggressive lung metastasis)

    • Analyze tumor-associated macrophage phenotypes by multi-parameter flow cytometry

    • Longitudinal imaging with pH-responsive probes

  • How should experiments be designed to investigate GPR132's role in AML differentiation?

GPR132 activation induces differentiation in Acute Myeloid Leukemia, suggesting therapeutic potential:

  • Genetic approaches:

    • Overexpress GPR132 in AML cell lines using lentiviral vectors

    • Create inducible expression systems to control timing of GPR132 activation

    • Use CRISPR-Cas9 to modify specific domains of GPR132 to determine structure-function relationships

  • Pharmacological approaches:

    • Identify and validate GPR132 agonists (e.g., 8-gingerol/8GL)

    • Determine dose-response relationships and specificity

    • Assess synergy with established differentiation agents or mTOR inhibitors

  • Differentiation assessment:

    • Morphological analysis (Wright-Giemsa staining)

    • Flow cytometry for myeloid differentiation markers (CD11b, CD14, CD15)

    • Colony formation assays to measure self-renewal capacity

    • Cell cycle analysis to detect G2/M checkpoint effects

  • Signaling pathway analysis:

    • Focus on GPR132-Gαs-PKA pathway

    • Monitor mTOR activation (phosphorylation of downstream targets)

    • Use pathway inhibitors to confirm mechanism

  • In vivo models:

    • AML xenograft models treated with GPR132 agonists

    • Assess tumor growth, survival, and differentiation markers

    • Test primary AML patient samples to confirm clinical relevance

  • What are the most reliable methods for measuring GPR132 activation in pH-sensing experiments?

As a proton-sensing GPCR, GPR132 responds to extracellular pH changes. To measure this:

  • Receptor activation assays:

    • BRET/FRET-based assays to measure conformational changes

    • Measurement of second messengers (cAMP, calcium, inositol phosphates)

    • β-arrestin recruitment assays

    • Receptor internalization studies using fluorescently-tagged GPR132

  • pH manipulation approaches:

    • Controlled buffer systems with defined pH (typically ranging from pH 6.4-7.4)

    • Lactate treatment to mimic acidic tumor microenvironment

    • Use of proton pumps or ionophores for dynamic pH changes

    • Co-culture with glycolytic cells that naturally acidify media

  • Functional readouts:

    • Transcriptional changes (qPCR for known pH-responsive genes)

    • Pathway-specific reporter assays

    • Phenotypic changes (migration, phagocytosis, cytokine production)

    • pH-sensitive fluorescent probes to correlate cellular responses with pH changes

  • Controls and validation:

    • Use GPR132⁻/⁻ cells as negative controls

    • Include other pH-sensing GPCRs (GPR4, GPR65, GPR68) for comparison

    • Employ pH buffers resistant to metabolic changes

    • Use selective antagonists to confirm specificity

  • What are the technical considerations for using GPR132 antibodies in live cell applications?

Working with GPR132 antibodies in live cell applications requires special consideration:

  • Antibody selection criteria:

    • Choose antibodies targeting extracellular domains of GPR132

    • Verify lack of sodium azide or other toxic preservatives

    • Confirm antibody maintains binding affinity at physiological pH and temperature

    • Select appropriate fluorophore conjugates with minimal spectral overlap

  • Flow cytometry optimization:

    • Titrate antibody concentration (typically starting at ~5 μg per test)

    • Use non-enzymatic cell dissociation methods to preserve surface epitopes

    • Include viability dyes to exclude dead cells

    • Set up compensation controls if using multiple fluorophores

  • Live cell imaging considerations:

    • Use cell-friendly imaging buffers

    • Minimize phototoxicity with reduced laser power

    • Consider photobleaching when planning time-lapse experiments

    • Use rapid acquisition techniques for real-time trafficking studies

  • Controls and validation:

    • Include isotype controls at matching concentrations

    • Block with unconjugated antibody before adding conjugated versions

    • Validate staining pattern with fixed cell immunofluorescence

    • Compare staining between known GPR132-positive and negative cell types

  • How can researchers effectively use GPR132 antibodies in investigating signaling pathway cross-talk?

GPR132 interacts with multiple signaling pathways, requiring sophisticated experimental approaches:

  • Co-immunoprecipitation strategies:

    • Use GPR132 antibodies to pull down receptor complexes

    • Identify interaction partners by mass spectrometry

    • Verify interactions with reverse co-IP

    • Include appropriate controls (IgG, lysate inputs)

  • Signaling pathway analysis:

    • Combine GPR132 staining with phospho-specific antibodies (pZAP70, pNF-κB)

    • Use phospho-flow cytometry for single-cell resolution

    • Employ time-course experiments to capture signaling dynamics

    • Create pathway activity maps using multi-parameter readouts

  • Proximity ligation assays:

    • Detect GPR132 interactions with downstream effectors at <40 nm resolution

    • Visualize signaling complexes in situ

    • Quantify interaction frequency under different conditions

  • Genetic manipulation considerations:

    • Create domain-specific mutations to disrupt particular signaling branches

    • Use inducible systems to control timing of GPR132 expression

    • Combine with pathway-specific inhibitors to untangle complex networks

    • Consider compensatory mechanisms in chronic manipulation models

  • Computational approaches:

    • Use systems biology tools to model GPR132 signaling networks

    • Integrate transcriptomic and proteomic data

    • Predict and validate feedback mechanisms

    • Identify potential therapeutic vulnerabilities

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