BMPR1A Antibody is a polyclonal antibody produced in rabbits, targeting the human BMPR1A protein encoded by the BMPR1A gene (Gene ID: 657). This receptor plays essential roles in embryogenesis, mesoderm differentiation, and immune cell regulation . The antibody is widely used to investigate BMPR1A's expression and function in developmental biology, immunology, and disease models .
The antibody has been validated across multiple experimental systems:
| Application | Detected In |
|---|---|
| Western Blot (WB) | HeLa cells, HEK-293 cells, human heart tissue, mouse liver tissue, Jurkat cells |
| Immunofluorescence (IF/ICC) | U2OS cells |
| Immunoprecipitation (IP) | HEK-293 cells |
Notably, the antibody detects BMPR1A in both human and mouse tissues, making it suitable for cross-species studies .
Optimal antibody performance requires protocol-specific dilution:
| Application | Dilution Range |
|---|---|
| Western Blot (WB) | 1:500–1:2000 |
| Immunofluorescence (IF/ICC) | 1:50–1:500 |
| Immunoprecipitation (IP) | 0.5–4.0 µg per 1–3 mg lysate |
Titration is advised for untested systems to minimize background noise .
BMPR1A Antibody has been instrumental in studies exploring:
Germinal Center Dynamics: BMPR1A signaling modulates memory B cell and plasma cell formation during immune responses .
Cardiovascular Development: Mutations in BMPR1A correlate with congenital heart defects, including septal abnormalities .
Osteogenesis: BMPR1A regulates extracellular matrix deposition in osteoblasts, critical for bone formation .
When selecting a BMPR1A antibody, consider these critical parameters:
Target species reactivity: Different antibodies show specific reactivity profiles. For example, antibody 30608-1-AP demonstrates reactivity with human samples , while 82928-1-RR shows reactivity with both human and mouse samples .
Antibody class and host: Consider whether polyclonal (such as 30608-1-AP from rabbit ) or recombinant (such as 82928-1-RR ) antibodies are more appropriate for your application.
Target epitope: Review which region of BMPR1A the antibody recognizes. Some antibodies target the N-terminal region (AA 30-60) , while others target different domains. This is particularly important if you're studying specific mutations or protein variants.
Validated applications: Verify the antibody has been validated for your intended application. For instance, 30608-1-AP is validated for WB, IF/ICC, FC, and ELISA , while other antibodies may have different application profiles.
Molecular weight recognition: Confirm the antibody detects the expected molecular weight of BMPR1A. For example, the calculated molecular weight is approximately
60 kDa, but the observed weight can range between 60-68 kDa .
Always review validation data provided by manufacturers and, if possible, published literature citing the specific antibody.
Rigorous validation ensures experimental reliability and reproducibility. Consider these approaches:
Positive and negative controls: Use cell lines known to express BMPR1A at different levels. Based on validation data, Jurkat, HeLa, and K-562 cells show positive WB detection with antibody 30608-1-AP , while U2OS cells are suitable for IF/ICC applications.
Knockdown/knockout validation: Compare antibody staining in wild-type versus BMPR1A-depleted samples (using siRNA, CRISPR, or null cell lines).
Competing peptide assay: Pre-incubate the antibody with the immunogen peptide before application to verify binding specificity.
Multiple antibody comparison: Use antibodies targeting different epitopes of BMPR1A. For example, compare results from an antibody targeting AA 30-60 with one targeting AA 101-200 or AA 179-378.
Molecular weight verification: Confirm detection at the expected molecular weight (60-68 kDa for BMPR1A) .
Cross-reactivity assessment: If working with multiple species, verify species-specific reactivity as reported in validation data, such as the human and mouse reactivity of 82928-1-RR .
The choice between polyclonal and recombinant BMPR1A antibodies can significantly influence experimental results:
Polyclonal antibodies (e.g., 30608-1-AP ):
Recognize multiple epitopes on BMPR1A, potentially increasing sensitivity
May have batch-to-batch variability requiring re-validation
Often work well for applications where signal amplification is beneficial
May have higher background in certain applications
Recombinant antibodies (e.g., 82928-1-RR ):
Offer greater consistency between batches
Target specific epitopes, reducing non-specific binding
Generally provide more reproducible results for quantitative analyses
May have higher dilution recommendations (1:2000-1:10000 for WB with 82928-1-RR versus 1:500-1:2000 for 30608-1-AP )
For studies examining BMPR1A mutations or localization changes (as in juvenile polyposis research ), recombinant antibodies may offer more consistent results when quantifying subtle differences in protein expression or localization. Conversely, for detecting low-abundance BMPR1A in complex samples, polyclonal antibodies might provide better sensitivity.
Optimal dilution varies by antibody and application. Based on manufacturer recommendations:
| Application | Recommended Dilution |
|---|---|
| Western Blot (WB) | 1:500-1:2000 |
| Immunofluorescence (IF/ICC) | 1:200-1:800 |
| Flow Cytometry (FC) (Intra) | 0.40 μg per 10^6 cells in 100 μl suspension |
| Application | Recommended Dilution |
|---|---|
| Western Blot (WB) | 1:2000-1:10000 |
| Immunoprecipitation (IP) | 0.5-4.0 μg for 1.0-3.0 mg total protein lysate |
| Flow Cytometry (FC) (Intra) | 0.25 μg per 10^6 cells in 100 μl suspension |
| Application | Recommended Dilution |
|---|---|
| Western Blot (WB) | 1:1000 |
| Immunofluorescence (IF/ICC) | 1:10-1:50 |
It's critical to optimize dilutions for each experimental system, as these are starting recommendations. Titration experiments should be performed to determine the optimal signal-to-noise ratio for your specific samples.
When investigating BMPR1A cellular localization, especially in contexts like mutation studies for juvenile polyposis, consider these methodological guidelines:
Selection of fixation and permeabilization methods:
For membrane-localized wild-type BMPR1A: Milder fixation (4% paraformaldehyde) to preserve membrane structure
For potential intracellular mutant forms: Adjust permeabilization conditions to ensure access to intracellular compartments
Co-localization studies:
Use markers for cellular compartments (e.g., plasma membrane, endoplasmic reticulum, Golgi)
Include antibodies against these markers alongside BMPR1A staining
Quantitative analysis approach:
Implement confocal microscopy with z-stack imaging
Develop consistent scoring systems for localization patterns (similar to the 1-3 scale used in published research where 1 indicates membrane localization and 3 indicates completely intracellular localization)
Employ automated image analysis for unbiased quantification
Controls to include:
Wild-type BMPR1A constructs as positive controls for membrane localization
Known mutant constructs with established localization patterns
BMP pathway stimulation controls, as BMP stimulation can affect receptor distribution
Research has demonstrated that while wild-type BMPR1A localizes predominantly to the cell membrane, mutant versions associated with juvenile polyposis show varying degrees of intracellular localization, with reduced membrane presence . This mislocalization correlates with impaired BMP pathway signaling.
Flow cytometry with BMPR1A antibodies requires careful optimization:
Intracellular versus surface staining approaches:
Cell preparation considerations:
Gating strategies:
Include FMO (fluorescence minus one) controls
Use isotype controls (rabbit IgG) at the same concentration
When studying mutations affecting localization, adjust gating strategies to capture changes in signal intensity
Analysis approaches:
To establish relationships between BMPR1A localization and signaling function:
Experimental design approach:
Control conditions:
Include wild-type BMPR1A as positive control for membrane localization and signaling
Use BMP ligand stimulation as positive control for pathway activation
Include BMP pathway inhibitors as negative controls
Quantification methods:
Research has demonstrated that mutations affecting BMPR1A localization (shifting from membrane to intracellular compartments) correlate with reduced BMP pathway signaling as measured by Bre-luc reporter activity . This approach can help establish mechanistic links between receptor trafficking defects and signaling dysfunction in disease contexts.
Distinguishing expression versus localization changes requires multi-faceted experimental design:
Quantitative protein analysis:
Imaging approaches:
Conduct quantitative immunofluorescence with consistent acquisition parameters
Implement subcellular colocalization analysis with compartment markers
Use confocal microscopy with z-stack analysis for 3D distribution assessment
Controls and normalization:
Include wild-type BMPR1A for baseline localization patterns
Normalize protein expression data across samples
Use multiple antibodies targeting different BMPR1A epitopes to confirm findings
In research on juvenile polyposis-associated BMPR1A mutations, ELISA assays demonstrated that most mutations did not significantly affect total protein levels compared to wild-type (mean of mutant protein levels was 101.6% of wild-type, range 73-132%) . This finding ruled out protein expression defects as the primary mechanism, instead highlighting mislocalization as the key dysfunction, with mutant receptors showing predominantly intracellular rather than membrane localization .
When investigating BMPR1A mutations in juvenile polyposis syndrome (JPS):
Mutation selection approach:
Experimental system design:
Functional correlation methods:
Correlate localization defects with BMP pathway signaling (Bre-Luc reporter assays)
Assess protein-protein interactions that may be disrupted
Examine downstream signaling consequences (e.g., SMAD phosphorylation)
Research has established that BMPR1A mutations occurring in JPS patients affect cellular localization, with mutant receptors showing reduced membrane localization and increased intracellular accumulation . This mislocalization correlates with impaired signaling through the BMP pathway, providing a mechanistic link between mutation and disease pathogenesis.
When analyzing BMPR1A in clinical samples:
Essential tissue controls:
Normal adjacent tissue from the same patient
Tissue samples from non-JPS patients with other GI conditions
Tissues known to express high levels of BMPR1A as positive controls
Antibody and staining controls:
Analytical controls:
Implement blinded scoring systems for immunohistochemical evaluation
Use quantitative image analysis with standardized parameters
Include molecular analysis (PCR, sequencing) to correlate with antibody-based findings
Validation approaches:
Confirm key findings with orthogonal methods (e.g., mRNA analysis)
Verify localization patterns in cultured cells from patient samples
Correlate BMPR1A expression/localization with clinical parameters and outcomes
Research indicates that BMPR1A mutations in JPS affect cellular localization rather than expression levels, making detailed subcellular distribution analysis critical in patient samples .
When working with BMPR1A antibodies, researchers frequently encounter these challenges:
Background and non-specific staining:
Implement more stringent blocking protocols (increase BSA concentration or use alternative blockers)
Optimize antibody dilutions (starting with manufacturer recommendations)
For 30608-1-AP, try WB dilutions between 1:500-1:2000; for IF/ICC, try 1:200-1:800
Consider different detection methods or visualization reagents
Inconsistent detection across applications:
Difficulties detecting mutant forms:
For mutations affecting the start codon (e.g., 1A>C (M1L)), antibody binding may be compromised
For other mutations, total protein levels may be similar to wild-type but localization differs
Use antibodies targeting epitopes distant from the mutation site
Implement subcellular fractionation to enrich for differentially localized protein
Storage and stability issues:
For detecting low-abundance BMPR1A, implement these optimization strategies:
Sample preparation enhancement:
Signal amplification techniques:
Implement tyramide signal amplification for immunohistochemistry
Use high-sensitivity ECL substrates for Western blotting
Consider longer primary antibody incubation times (overnight at 4°C)
Detection system optimization:
Use higher sensitivity imaging systems
Increase exposure times while monitoring background levels
Implement computational image enhancement and analysis
Antibody selection considerations:
For initial detection in complex samples, polyclonal antibodies may offer higher sensitivity
For subsequent quantitative analysis, recombinant antibodies may provide better specificity
Consider antibodies with demonstrated reactivity in your tissue/species of interest
These approaches can be particularly important when studying BMPR1A in heterogeneous clinical samples or when examining subtle changes in expression or localization patterns associated with disease states.
BMPR1A's observed molecular weight can vary between experimental systems:
Expected weight ranges:
Factors affecting apparent molecular weight:
Post-translational modifications: BMPR1A undergoes phosphorylation and potentially glycosylation
Sample preparation methods: Different lysis buffers and denaturing conditions
Gel percentage and running conditions: Higher percentage gels may better resolve size differences
Protein standards used: Calibration differences between pre-stained markers
Experimental approach for resolving discrepancies:
Run control samples with validated BMPR1A expression alongside experimental samples
Utilize subcellular fractionation to identify compartment-specific forms
Consider enzymatic treatment (phosphatases, glycosidases) to identify modification-related shifts
Verify antibody specificity through knockout/knockdown controls
Interpretation guidelines:
Understanding these factors is particularly important when studying BMPR1A mutations that might affect post-translational modifications or protein processing.