The NPY4 Antibody (catalog #ANR-024) is a highly specific rabbit polyclonal antibody developed to target the Neuropeptide Y receptor type 4 (NPY4R), also known as Pancreatic Polypeptide Receptor 1 (PPYR1). This antibody is designed for research applications in immunohistochemistry (IHC), immunocytochemistry (ICC), and Western blotting (WB). Its epitope specificity lies in the peptide sequence NINFKKDIKALVLTC (amino acids 326–340) of rat NPY4R, ensuring cross-reactivity with human, rat, and mouse samples .
Demonstrated specificity in rat brain membrane lysates, cortex, and hippocampus (1:200 dilution). Preincubation with a blocking peptide (BLP-NR024) eliminates band detection, confirming epitope recognition .
Used to detect NPY4R in rat retinal sections (1:200) and retinal ganglion cells (1:25), as shown by Martins et al. (2015) .
Validated in primary cultures of rat dorsal root ganglion (DRG) neurons (1:100), with nuclear counterstaining using Hoechst 33342 .
NPY4R exhibits tissue-specific expression patterns:
While the antibody itself is primarily a research tool, studies using NPY4R-targeted reagents highlight its role in:
Cholangiocarcinoma: NPY overexpression inhibits tumor growth via Y2 receptor signaling .
Immune modulation: NPY4R may influence anti-inflammatory pathways, as NPY regulates T-cell and macrophage responses .
PMC7573154: Discusses NPY's immunomodulatory effects and receptor subtype interactions .
Alomone Labs: Detailed antibody characterization and validation data .
PubMed 17979783: Explores NPY's role in autoimmune and inflammatory diseases .
PMC3093951: Demonstrates NPY's tumor-suppressive effects in cholangiocarcinoma .
NPY4R (neuropeptide Y receptor type 4) is a G protein-coupled receptor with a seven-transmembrane structure. In humans, the canonical protein has 375 amino acid residues and a mass of 42.2 kDa . It is primarily localized in the cell membrane and functions as a receptor for PPY (pancreatic polypeptide), NPY (neuropeptide Y), and PYY (peptide YY) . The receptor is notably expressed in soft tissue, small intestine, skin, rectum, and colon .
Research significance lies in its involvement in appetite regulation and stress response pathways . The receptor is negatively coupled to cAMP, making it an important component in cellular signaling mechanisms . Understanding NPY4R function has implications for disorders related to appetite dysregulation and stress-related conditions, making it a valuable target for neuroscience and endocrinology research.
NPY4R antibodies have been validated for multiple research applications:
Western Blot (WB): For detecting NPY4R protein expression levels in cell and tissue lysates
Immunohistochemistry (IHC): For visualizing NPY4R distribution in tissue sections
Enzyme-Linked Immunosorbent Assay (ELISA): For quantitative detection of NPY4R
Immunocytochemistry (ICC): For cellular localization studies
Immunofluorescence (IF): For high-resolution imaging of NPY4R distribution
For optimal results, antibody selection should align with the specific application. For instance, polyclonal antibodies like CAB8143 have been validated for Western blot applications with a recommended dilution range of 1:500 - 1:2000 .
NPY4R antibodies have demonstrated reactivity with various sample types:
Cell lines: MCF7, SH-SY5Y, SW480, and HT-29 have been validated as positive samples for NPY4R detection
Primary cultures: Rat dorsal root ganglion (DRG) neurons have been successfully used for immunocytochemical staining with NPY4R antibodies
Tissue samples: Particularly from regions with known NPY4R expression such as soft tissue, small intestine, skin, rectum, and colon
When working with new sample types, validation experiments should be conducted to confirm antibody specificity before proceeding with full experimental analysis.
For lyophilized NPY4R antibodies:
Reconstitute with double distilled water (50 μL or 0.2 mL depending on sample size)
The reconstituted solution can be stored at 4°C for up to 1 week
For longer storage, prepare small aliquots and store at -20°C
Avoid multiple freeze-thaw cycles to preserve antibody activity
Centrifuge all antibody preparations before use (10000 x g for 5 min)
Following these storage and handling guidelines ensures maintained antibody sensitivity and specificity throughout your research project.
Distinguishing between NPY receptor subtypes (Y1, Y2, Y4, Y5) requires carefully selected tools and methods:
Subtype-selective antibodies: Certain antibodies show strong selectivity for specific receptor subtypes. For example:
Comparative immunofluorescence: The following table summarizes receptor selectivity based on immunofluorescence assays:
| Antibody | Y1-receptor SK-N-MC | Y2-receptor SMS-KAN | Y5-receptor BHK |
|---|---|---|---|
| Y1 E2/2 | + | - | - |
| Y2 E2/1 | - | ++ | - |
| Y5 E2/2 | - | +++ | +++ |
| Y5 E3 | - | +++ | +++ |
Key: (-) no fluorescence; (+) weak fluorescence; (++) moderate fluorescence; (+++) strong fluorescence
By employing a combination of these antibodies, researchers can effectively distinguish between receptor subtypes in experimental settings.
Several methodological approaches can be employed to study NPY4R ligand binding:
Ala-substituted NPY analogues: These can provide insights into binding affinity and receptor selectivity. For example:
Substitution of proline residues at positions 2, 5, 8, and 13 generally leads to decreased affinity across receptor subtypes
Position-specific effects include Pro5 substitution reducing hY2-receptor affinity 600-fold
Pro8 substitution decreasing hY4-receptor affinity 11-fold and hY5-receptor affinity 69-fold
Truncated analogues: These can identify critical regions for receptor binding
Competitive binding assays: Using labeled and unlabeled ligands to determine binding affinities and receptor densities
When designing such experiments, researchers should consider the rank order of affinity for pancreatic polypeptides (PP > PP (2-36) and [Ile-31, Gln-34] PP > [Pro-34] PYY > PYY and [Leu-31, Pro-34] NPY > NPY > PYY (3-36) and NPY (2-36) > PP (13-36) > PP (31-36) > NPY free acid) .
Validating NPY4R antibody specificity is crucial for reliable experimental results. Recommended approaches include:
Positive control inclusion: Use cell lines with confirmed NPY4R expression (MCF7, SH-SY5Y, SW480, HT-29)
Immunogen competition assays: Pre-incubate the antibody with the immunogen peptide (e.g., sequence corresponding to amino acids 1-80 of human NPY4R (NP_005963.4))
Multiple antibody comparison: Use antibodies raised against different epitopes of NPY4R and compare detection patterns
Knockout/knockdown controls: If available, include samples with NPY4R genetic deletion or suppression
Cross-reactivity assessment: Test the antibody against related NPY receptors (Y1, Y2, Y5) to ensure specificity
Documentation of these validation steps strengthens the reliability of research findings and should be included in published methods.
When investigating NPY4R signaling pathways, consider the following methodological aspects:
Receptor coupling characteristics: NPY4R is negatively coupled to cAMP, so experimental readouts should include cAMP level measurements
Ligand selection: Consider the differential affinity of various peptides (PP, NPY, PYY) for the receptor
Post-translational modifications: Account for glycosylation and other modifications that may affect receptor function and antibody recognition
Cellular localization: As a multi-pass membrane protein, proper membrane preparation protocols are essential for isolation and study
Receptor internalization dynamics: Methods to track receptor trafficking (such as fluorescently labeled antibodies) may be required for comprehensive signaling studies
Incorporating these considerations will enhance experimental design and data interpretation in NPY4R signaling research.
For optimal NPY4R detection by Western blot:
Sample preparation:
Antibody selection and dilution:
Detection conditions:
Controls:
Include positive control samples from validated cell lines
Consider recombinant NPY4R protein as an additional control
Troubleshooting:
For weak signals, optimize antibody concentration and incubation time
For multiple bands, verify whether they represent different glycosylation states or splice variants
Following these recommendations will improve detection specificity and results reliability.
For successful immunohistochemical detection of NPY4R:
Tissue preparation:
Optimal fixation is critical; overfixation may mask epitopes
Consider antigen retrieval methods for formalin-fixed tissues
Antibody selection:
Detection strategy:
For fluorescent detection, minimize autofluorescence with appropriate quenching steps
For chromogenic detection, optimize development time to balance signal and background
Controls:
Interpretation:
Careful attention to these factors will improve the reliability and interpretability of NPY4R immunohistochemical data.
When encountering non-specific binding with NPY4R antibodies:
Blocking optimization:
Test different blocking agents (BSA, normal serum, commercial blockers)
Increase blocking time or concentration if background persists
Antibody dilution adjustment:
Wash protocol enhancement:
Increase wash duration and volume
Add detergent (0.05-0.1% Tween-20) to wash buffers if not already included
Secondary antibody controls:
Include secondary-only controls to identify potential secondary antibody cross-reactivity
Consider switching secondary antibody suppliers if background persists
Sample-specific considerations:
For highly autofluorescent tissues, consider chromogenic detection alternatives
For tissues with endogenous biotin, use biotin-free detection systems
These troubleshooting approaches can significantly improve signal-to-noise ratio in NPY4R detection experiments.
NPY4R antibodies offer valuable tools for neuroscience research:
Receptor distribution mapping:
Receptor regulation studies:
Monitoring changes in NPY4R expression under various physiological or pathological conditions
Comparing receptor distribution in normal vs. disease states
Co-localization analysis:
Double-labeling with markers for specific neuronal populations
Identification of NPY4R-expressing cells in heterogeneous neural tissues
Drug development:
Screening potential compounds that modulate NPY4R activity
Evaluating receptor occupancy in response to candidate therapeutics
Neural circuit investigation:
These applications provide critical insights into NPY4R's function in neural systems and potential therapeutic targeting.
NPY4R antibodies are increasingly valuable for metabolic research:
Appetite regulation studies:
Enteroendocrine system analysis:
Pancreatic function research:
Stress-metabolism interaction studies:
Therapeutic target validation:
Confirmation of receptor accessibility in target tissues
Evaluation of receptor modulation by candidate compounds
These emerging applications highlight NPY4R's importance at the intersection of neural and metabolic regulation systems.
Post-translational modifications, particularly glycosylation, can significantly impact NPY4R antibody recognition :
Epitope accessibility:
Glycosylation can mask antibody binding sites
Consider antibodies targeting non-glycosylated regions for consistent detection
Molecular weight variations:
Deglycosylation experiments:
Enzymatic deglycosylation (PNGase F, Endo H) can confirm glycosylation status
Comparison of treated and untreated samples may clarify antibody recognition patterns
Antibody selection strategy:
For studies focusing on total NPY4R levels, choose antibodies targeting conserved epitopes less affected by modifications
For studying specific modified forms, select antibodies with documented sensitivity to modification state
Understanding these effects is crucial for accurate interpretation of experimental results and proper antibody selection.
When developing quantitative assays for NPY4R:
Standard curve development:
Use recombinant NPY4R fragments or full-length protein
Validate linear range and detection limits
Sample preparation standardization:
Establish consistent protocols for membrane protein extraction
Normalize to total protein or housekeeping proteins for comparative analysis
Antibody validation:
Assay format selection:
Data normalization strategy:
Account for background signal
Include internal standards for inter-assay comparisons
Attention to these factors will enhance the reproducibility and reliability of quantitative NPY4R measurements.