The ACKR3 antibody refers to a class of immunoglobulins engineered to specifically target the atypical chemokine receptor 3 (ACKR3), also known as CXCR7 or GPR159. ACKR3 is a G-protein coupled receptor (GPCR) involved in chemokine sequestration, immune modulation, and tumor progression. The antibody is designed to bind ACKR3 with high specificity, enabling applications in diagnostics, imaging, and therapeutic interventions .
ACKR3 antibodies are typically generated through hybridoma technology or recombinant DNA engineering. Key developments include:
X7Ab: A chimeric antibody (humanized IgG1) that recruits immune effector cells (NK cells, macrophages) to eliminate ACKR3-expressing glioblastoma (GBM) cells .
89Zr-ACKR3-mAb: A radiolabeled antibody for PET imaging of ACKR3-expressing tumors, with a half-maximal inhibitory concentration (IC50) of ~8.1 nM for CXCL12 .
Clone 11G8: A validated monoclonal antibody for flow cytometry and immunohistochemistry, shown to block CXCL12/CXCL11 binding .
| Antibody Clone | Target Application | Citation |
|---|---|---|
| X7Ab | GBM therapy | |
| 89Zr-ACKR3-mAb | PET imaging | |
| 11G8 | Flow cytometry |
ACKR3 antibodies have shown promise in treating glioblastoma (GBM), where ACKR3 is overexpressed. Studies demonstrate:
X7Ab + TMZ: Reduced tumor burden and extended survival in GBM models by enhancing immune activation (M1 macrophages) .
Targeted ADCP: Antibody-dependent cellular phagocytosis (ADCP) of ACKR3+ tumor cells by macrophages .
Hypoxia adaptation: ACKR3 upregulation in hypoxic tumor microenvironments suggests it as a resistance biomarker .
Validation of ACKR3 antibodies involves:
Flow cytometry: Clone 11G8 (IC50 = 8.1 nM for CXCL12) and 8F11-M16 for surface detection .
Immunoblotting: Rabbit polyclonal antibodies (e.g., HPA032003) for intracellular ACKR3 .
Phosphosite antibodies: Targeting S350/T352 and S355/S360 residues linked to β-arrestin signaling .
| Antibody Type | Technique | Citation |
|---|---|---|
| 11G8 (monoclonal) | Flow cytometry | |
| HPA032003 (polyclonal) | Immunoblotting | |
| pS350/pT352 (phospho) | Western blot (agonist) |
Opioid peptide modulation: ACKR3 sequesters endogenous opioids (e.g., β-endorphins), suggesting a role in pain regulation .
Cardiovascular impact: ACKR3 regulates CXCL12 gradients critical for embryonic development and vascular repair .
Cancer therapy resistance: High ACKR3 expression correlates with poor prognosis in GBM and breast cancer .
ACKR3 (also known as CXCR7) is an atypical chemokine receptor that functions primarily as a scavenger for chemokines like CXCL12 and CXCL11. Unlike canonical chemokine receptors, ACKR3 is biased toward β-arrestin and does not activate G proteins . Detection of ACKR3 at the protein level remains a significant challenge in the field, often requiring specialized tools beyond standard antibody approaches. While genetic models with reporter genes can be employed, recognizing ACKR3 under native conditions is crucial for understanding its role in cancer and other diseases .
Based on rigorous validation studies, two ACKR3-specific monoclonal antibodies have demonstrated reliable detection capabilities:
8F11-M16 antibody - Effective for flow cytometry applications
11G8 antibody - Reliable for immunofluorescence, immunostaining, and immunoblotting experiments
Both antibodies show strong specificity, yielding clear signals in ACKR3-expressing cells while showing no signal in control cells (U87 and U87 CXCR4 cells) . Many other commercially available antibodies failed validation tests, showing similar signals in both ACKR3-expressing and non-expressing cells, highlighting the importance of using properly validated antibodies for ACKR3 research .
A methodological approach to ACKR3 antibody validation should include:
Positive controls: Use cell lines with stable ACKR3 overexpression (e.g., U87 ACKR3 cells)
Negative controls: Include parental cell lines without ACKR3 (e.g., U87 cells)
Known endogenous expressers: Include cell lines known to express ACKR3 endogenously (e.g., MCF-7 breast cancer cells)
Multiple detection methods: Validate using different techniques (flow cytometry, immunostaining, and immunoblotting)
Comparison of antibodies: Test multiple antibodies simultaneously to identify the most specific ones
The validation should demonstrate clear differences between positive and negative controls across multiple detection methods.
ACKR3 expression varies considerably across different cell types and can be modulated by various stimuli. In glioblastoma stem-like cells (GSCs), ACKR3 shows heterogeneous expression patterns, with different patient-derived cultures exhibiting varying percentages of ACKR3-positive cells:
ACKR3 expression can be upregulated upon stimulation with specific chemokines. For instance, when T018 cells were stimulated with 10 nM of CXCL12 for 24 hours, ACKR3 expression increased . This dynamic regulation suggests that experimental conditions, including the presence of ACKR3 ligands, can significantly affect detection outcomes.
Studies comparing in vitro and in vivo ACKR3 expression reveal important differences that researchers should consider when designing experiments. Quantitative RT-qPCR analyses of T033 glioblastoma stem-like cells showed significant variations in ACKR3 mRNA expression between in vitro cultures and cells recovered from different regions of xenograft tumors in vivo . The microenvironment appears to influence ACKR3 expression levels, with distinct expression patterns observed between cells isolated from different brain regions after xenografting .
These findings emphasize the importance of validating in vitro findings with in vivo models and considering microenvironmental factors when interpreting ACKR3 antibody staining results.
ACKR3 exists in different functional states based on its activation and ligand binding status. Advanced research approaches to distinguish these states include:
Conformational-specific antibodies: Some antibodies can recognize specific conformational states of ACKR3, which may be useful for distinguishing between active and inactive receptor states
Co-localization studies: Combining ACKR3 antibodies with markers for endocytic compartments can help track receptor internalization and trafficking
Activation-induced epitope exposure: Upon ligand binding, ACKR3 may expose or hide specific epitopes that can be detected by particular antibodies
Research has shown that ACKR3 adopts distinct conformations when bound to different ligands, including CXCL12, CXCL12 variants, and small-molecule agonists . These conformational differences may affect antibody binding and detection efficiency, requiring careful selection of antibodies based on the experimental question.
ACKR3 can form heterodimers with CXCR4, modulating chemokine signaling pathways. Effective methods for studying these heterodimers include:
Proximity ligation assays (PLA): To visualize and quantify receptor interactions in intact cells
Co-immunoprecipitation: Using validated antibodies against ACKR3 and CXCR4
BRET/FRET approaches: For real-time monitoring of receptor interactions
Dual immunofluorescence: With specific antibodies against each receptor
Sequential antibody labeling: To distinguish between monomeric and dimeric receptor populations
When studying heterodimers, it's essential to validate antibody specificity to ensure no cross-reactivity between ACKR3 and CXCR4 antibodies, as these receptors share structural similarities.
For quantitative analysis of ACKR3 expression, researchers can employ:
Flow cytometry: Using fluorophore-conjugated ACKR3 antibodies (e.g., 8F11-M16) to quantify the percentage of ACKR3-positive cells and receptor density on cell surfaces
ELISA/immunoassays: For quantification in tissue lysates
Quantitative immunofluorescence: With appropriate standards and controls
Western blotting: For semi-quantitative protein level assessment using validated antibodies like 11G8
When performing quantitative analyses, establishing standard curves with cells expressing known amounts of ACKR3 is recommended for accurate measurement.
Immunoaffinity-based assays for ACKR3-ligand interactions require careful consideration of:
Antibody epitope selection: Choose antibodies that don't interfere with the ligand binding site
Detection strategy: Direct labeling of ligands or use of secondary detection methods
Validation of binding specificity: Include appropriate controls (e.g., competing unlabeled ligands)
Sensitivity calibration: Establish detection limits with purified components
Sample preparation: Minimize interference from other proteins
A recent immunoaffinity mass spectrometry (IA-MS) assay for CXCL12α proteoforms demonstrates how targeted approaches can distinguish between biologically active and inactive ligand forms that interact with ACKR3 . This approach enabled quantification of approximately 0.1 nM biologically active CXCL12α in healthy adults, which increased up to two-fold following ACKR3 antagonist treatment .
Inconsistent ACKR3 staining can result from several factors:
Receptor internalization: ACKR3 undergoes constitutive internalization and recycling, affecting membrane availability for antibody binding
Ligand-induced conformational changes: Binding of CXCL12 or other ligands may alter epitope accessibility
Expression heterogeneity: As demonstrated in patient-derived GBM cultures, ACKR3 expression can be highly heterogeneous (ranging from 0.78% to 3.91% positive cells)
Fixation and permeabilization methods: These can significantly affect epitope preservation and accessibility
Antibody clone specificity: Different antibody clones recognize different epitopes, which may be differentially accessible depending on receptor state
To address these challenges, researchers should optimize protocols specifically for ACKR3 detection, including careful selection of fixation methods, permeabilization conditions, and blocking agents.
Distinguishing ACKR3 from other chemokine receptors in complex tissues requires:
Sequential staining approaches: Use differentially labeled antibodies against multiple receptors
Knockout/knockdown controls: Include tissues/cells with known ACKR3 depletion
Co-localization with known marker proteins: Identify cell types expressing ACKR3 using lineage markers
Receptor-specific functional assays: Combine antibody detection with functional readouts specific to ACKR3 (e.g., β-arrestin recruitment without G protein activation)
In situ hybridization correlation: Validate protein detection with mRNA localization
This multi-faceted approach is particularly important when studying ACKR3 in tissues where multiple chemokine receptors may be expressed, such as in tumors or the cardiovascular system.
ACKR3 antibodies serve as essential tools for evaluating ACKR3-targeting therapeutics through:
Target engagement assessment: Determine whether therapeutic compounds bind to the intended target by measuring displacement of labeled antibodies
Receptor internalization studies: Monitor changes in surface ACKR3 expression following therapeutic treatment
Biomarker evaluation: Measure changes in ACKR3 expression or CXCL12 levels as pharmacodynamic biomarkers
Tissue distribution studies: Identify target tissues with high ACKR3 expression to predict therapeutic action sites
For example, ACKR3 antagonist (ACT-1004-1239) efficacy was demonstrated by measuring increased biologically active CXCL12α plasma concentrations using an immunoaffinity mass spectrometry assay, providing evidence of target engagement in humans .
To study ACKR3 function in disease models, researchers can employ antibody-based methods including:
Functional blocking antibodies: To inhibit ACKR3 activity in disease models
Immunohistochemistry with quantitative analysis: To correlate ACKR3 expression with disease progression
In vivo imaging with labeled antibodies: To track ACKR3 expression dynamically
Flow cytometric analysis of diseased tissues: To quantify ACKR3-positive cell populations
Antibody-dependent receptor modulation: To artificially enhance or inhibit ACKR3 signaling
Research in glioblastoma models has employed ACKR3 antibodies to study receptor function in both in vitro cultures and in vivo xenograft models, providing insights into the role of ACKR3 in tumor biology .