PAQR5 antibodies target the membrane-bound progesterone receptor gamma (mPRγ), encoded by the PAQR5 gene. This receptor is part of the PAQR family, which mediates progesterone signaling through G-protein-coupled pathways. PAQR5 is highly expressed in normal kidney tissues but downregulated in renal cancers, making it a focal point for diagnostic and therapeutic research .
Multiple commercial antibodies against PAQR5 are available, validated for techniques such as Western blot (WB), immunohistochemistry (IHC), and immunofluorescence (IF).
| Provider | Catalog Number | Clonality | Applications |
|---|---|---|---|
| LSBio | LS-C413057 | Polyclonal | WB, ICC, IHC |
| Invitrogen Antibodies | PA5-113495 | Polyclonal | WB, ELISA, ICC, IHC |
| Aviva Systems Biology | OACA06431 | Polyclonal | ELISA, IF, IHC, WB |
| Cusabio Biotech | CSB-PA889141LA01HU | Polyclonal | WB, ELISA, ICC, IHC |
Source: Antibodypedia and Aviva Systems Biology
PAQR5 antibodies have been instrumental in identifying its role as a prognostic biomarker in KIRC. Key findings include:
| Parameter | Low PAQR5 Group | High PAQR5 Group | p-value |
|---|---|---|---|
| T3-T4 Stage Tumors | 125 | 65 | <0.001 |
| Lymph Node Invasion | 13 | 3 | 0.023 |
| Distal Metastasis | 55 | 23 | <0.001 |
| 5-Year Survival Rate | 22.3% | 40.3% | <0.001 |
Data derived from TCGA analysis
PAQR5 antibodies revealed its role in tumor microenvironment regulation:
Immune Cell Correlation: PAQR5 expression positively associates with B cells, neutrophils, and dendritic cells, and negatively correlates with FOXP3+ Tregs and immune checkpoints (PD-1, CTLA4, LAG3) .
Pathway Inhibition: PAQR5 downregulation is linked to upregulated STAT3, HIF-1α, and mTOR pathways, promoting tumor growth and immune evasion .
Immunogen: Most PAQR5 antibodies (e.g., Aviva OACA06431) use recombinant human PAQR5 protein fragments (e.g., residues 1-51) .
Optimal Dilutions:
Storage: Stable at -20°C or -80°C for long-term preservation .
Specificity: Cross-reactivity with other PAQR family members (e.g., PAQR6/7/8) remains a concern due to structural similarities .
Mechanistic Studies: Further research is needed to clarify PAQR5's tumor-suppressive mechanisms and its interaction with TGFβ1, which suppresses PAQR5 expression in cancer cells .
PAQR5 (Progestin and adipoQ receptor family member 5), also known as membrane progestin receptor gamma (mPR gamma), functions as a plasma membrane progesterone (P4) receptor coupled to G proteins. Research indicates that PAQR5 likely acts through a G(i)-mediated pathway and may play significant roles in:
Oocyte maturation processes
Renal physiology and kidney function
Immune cell interaction in various tissues
Cancer progression and suppression
Studies have demonstrated that progesterone signaling through membrane receptors like PAQR5 differs functionally from classical nuclear progesterone receptors, providing distinct cellular responses to hormonal stimulation .
PAQR5 shows tissue-specific expression patterns with notable differences between normal and pathological conditions:
Normal kidney tissue: PAQR5 is predominantly expressed in normal kidney compared to other organs
Kidney cancer: Significantly downregulated in kidney clear cell carcinoma (KIRC)
Other cancers: Expression varies by cancer type:
Comparative analysis in KIRC shows PAQR5 has high accuracy in distinguishing between tumor and normal tissue (AUC = 0.962, CI = 0.941–0.984) .
Commercial PAQR5 antibodies have been validated for multiple laboratory applications:
| Application | Validated | Common Dilutions |
|---|---|---|
| Western Blotting (WB) | Yes | 1:500-2000 |
| Immunohistochemistry (IHC) | Yes | 1:50-300 |
| ELISA | Yes | 1:2000-20000 |
| Immunocytochemistry/Immunofluorescence (ICC/IF) | Yes | Varies by antibody |
When performing Western blot analysis, researchers should note the observed molecular weight of PAQR5 is approximately 72 kDa, which differs from the calculated molecular weight of approximately 38 kDa, suggesting potential post-translational modifications .
For optimal detection of PAQR5 in kidney tissues, particularly in studies comparing normal versus diseased states, the following methodology has proven effective:
For Western blotting:
Load 40 μg total protein per well for PAQR5 detection
Use 10% SDS-PAGE gels for optimal separation
After electrophoretic separation, transfer to PVDF membrane
Block membranes for 45 min at room temperature with 5% nonfat milk in TBS containing 0.1% Tween-20
Incubate with primary anti-PAQR5 antibody (1:500 dilution) at 4°C overnight
Normalize band densities to β-actin for accurate quantification
For immunohistochemistry:
Prepare 3-μm-thick paraffin-embedded tissue sections
For antigen retrieval, use Tris-EDTA, pH 9.0
Incubate with rabbit polyclonal antibody against PAQR5 (1:200 dilution) for 2 hours at 37°C
Follow with secondary antibody incubation (1:200) at room temperature for 45-60 minutes
Visualize with 3,3-diaminobenzidine and counterstain nuclei with hematoxylin
Cross-reactivity is a critical concern when working with antibodies against membrane proteins like PAQR5. To ensure specificity:
Validation across multiple species: Confirm antibody specificity in your target species. While many commercial PAQR5 antibodies react with human, mouse, and rat samples, cross-reactivity with other species (e.g., canine) should be empirically tested .
Negative controls: Include appropriate negative controls:
Multiple antibody validation: When feasible, use antibodies targeting different epitopes of PAQR5:
Complementary approaches: Confirm protein expression with mRNA analysis methods (qPCR, RNA-seq) to corroborate antibody-based detection .
For accurate quantitative analysis of PAQR5 expression:
Protein loading optimization:
Reference protein selection:
Detection systems:
Technical replication:
Research on PAQR5 in kidney clear cell carcinoma has revealed significant correlations between PAQR5 expression and immune cell infiltration:
Positive correlations: PAQR5 expression positively correlates with infiltration of:
Negative correlations: PAQR5 expression negatively correlates with:
These findings suggest PAQR5 may influence the tumor immune microenvironment, potentially affecting immunotherapy response. Researchers investigating this relationship should consider:
Employing multiparameter flow cytometry or multiplex immunohistochemistry to simultaneously assess PAQR5 expression and immune cell markers
Using bioinformatic tools like TIMER and GEPIA for correlative analysis with immune cell gene signatures
Validating in silico findings with functional assays to establish causality between PAQR5 and immune responses
Multiple mechanisms appear to regulate PAQR5 expression in renal tissues:
1. Epigenetic regulation:
DNA methylation of the PAQR5 promoter is significantly higher in kidney cancer tissues than in normal kidney tissues
2. TGFβ1-mediated suppression:
TGFB1 expression is negatively correlated with PAQR5 expression in kidney cancer
TGFβ1 treatment significantly suppresses PAQR5 expression in human cancer cells
3. Fibrosis-associated downregulation:
In the unilateral ureteral obstruction (UUO) rat model, decreased PAQR5 expression is observed in obstructed kidneys
This suggests mechanical stress or inflammatory signals may regulate PAQR5
To study these regulatory mechanisms, researchers should consider:
For epigenetic regulation: Employ bisulfite sequencing, methylation-specific PCR, or pyrosequencing to analyze PAQR5 promoter methylation
For TGFβ1 pathway: Use reporter assays with PAQR5 promoter constructs to test direct transcriptional regulation
For signaling pathways: Investigate connections between PAQR5 and JAK/STAT, VHL/HIF, and PI3K/AKT/mTOR pathways, as PAQR5 expression negatively correlates with STAT1/2/3/4/5A, HIF-1α, and mTOR
PAQR5 shows significant potential as a prognostic biomarker in kidney cancer:
For biomarker development using PAQR5 antibodies, researchers should:
Standardize detection methods:
Establish reproducible IHC scoring systems with digital pathology quantification
Develop tissue microarray-based high-throughput screening approaches
Consider multiplex staining approaches to assess PAQR5 alongside other markers
Validate across patient cohorts:
Test in independent patient populations
Stratify by clinical parameters (stage, grade, treatment)
Correlate with standard clinical markers
Explore functional relationships:
When encountering weak or nonspecific signals:
Antibody concentration optimization:
Protein extraction optimization:
Blocking optimization:
Band size discrepancy resolution:
When faced with conflicting results between methods (e.g., IHC vs. WB):
Epitope accessibility differences:
Expression level threshold differences:
Cross-validation approaches:
Sample preparation considerations:
Several cutting-edge approaches show promise for advancing PAQR5 research:
Proximity ligation assays (PLA):
CRISPR-Cas9 gene editing:
Single-cell technologies:
Advanced imaging techniques:
Distinguishing PAQR5 from other membrane progesterone receptors requires specialized approaches:
Selective pharmacological tools:
Receptor expression systems:
Comparative signaling analysis:
Cross-species comparative studies: