The antibody has been tested in multiple experimental setups:
| Application | Dilution Range | Tested Samples |
|---|---|---|
| WB | 1:200–1:1000 | A549 cells, COLO 320 cells, mouse heart tissue |
| IHC | 1:20–1:200 | Human heart, small intestine tissue (antigen retrieval with TE buffer pH 9.0 or citrate buffer pH 6.0) |
| IF/ICC | 1:10–1:100 | A549 cells |
| ELISA | Not specified |
Note: Optimal dilution must be determined empirically for each experimental system .
USHBP1 exhibits differential expression across tissues:
Highest expression: Heart muscle
Moderate expression: Skeletal muscle, kidney, liver, small intestine, placenta, lung
USHBP1 antibodies are part of broader studies identifying plasma biomarkers for endothelial cell (EC) dysfunction. In one study, 37 polyclonal antibodies (including USHBP1) were coupled to magnetic beads for multiplexed profiling of EC-enriched proteins in human plasma. This approach demonstrated the utility of affinity proteomics for detecting circulating biomarkers linked to vascular health .
Initially identified as "Mutated in colon cancer protein 2," USHBP1 has been implicated in colorectal cancer pathogenesis. Antibodies like 17226-1-AP enable investigation of its role in tumor progression and molecular pathways .
Proteintech provides downloadable protocols for:
WB: Sample preparation, SDS-PAGE, and detection
IHC: Antigen retrieval methods (TE buffer pH 9.0 or citrate buffer pH 6.0) and visualization
IF/ICC: Fixation, permeabilization, and fluorescence detection .
- Proteintech (2025). USHBP1 Antibody (17226-1-AP).
- PMCID: PMC8608011 (2021). Plasma profiling of endothelial proteins using affinity proteomics.
USHBP1 (Usher Syndrome 1C Binding Protein 1) is a 703 amino acid protein belonging to the MCC family, also known as MCC2 (Mutated in colon cancer protein 2) or AIE-75-binding protein . The protein-coding gene is located on chromosome 19 . USHBP1 shows highest expression in heart tissue, with moderate to low expression in skeletal muscle, kidney, liver, small intestine, placenta, and lung .
The protein is significant in research due to its associations with several diseases, including:
Colorectal cancer
Autosomal recessive spondylocostal dysostosis
Posterior fusion of lumbosacral vertebrae-blepharoptosis syndrome
Malignant epithelial tumor of ovary
Klippel-Feil syndrome 3
Multiple synostoses syndrome 2
Prata-Liberal-Goncalves syndrome
Its name suggests a functional relationship with Usher syndrome proteins, making it relevant to hearing loss and vestibular dysfunction research.
USHBP1 antibodies are utilized in multiple experimental applications:
The observed molecular weight in Western blot analysis is typically 90-100 kDa, which differs from the calculated molecular weight of 76 kDa , suggesting possible post-translational modifications.
Several types of USHBP1 antibodies are available for research purposes:
Most commercially available USHBP1 antibodies are rabbit polyclonal antibodies that recognize human, mouse, and/or rat USHBP1 . Conjugated antibodies offer direct detection without secondary antibodies, simplifying experimental workflows for specific applications.
Proper storage and handling of USHBP1 antibodies is crucial for maintaining their performance:
Storage conditions:
Buffer composition:
Typically provided in PBS (pH 7.3-7.4)
Contains preservatives such as 0.02% sodium azide
Safety considerations:
Sodium azide is a hazardous substance that should be handled by trained personnel only
Follow manufacturer's recommendations for thawing and aliquoting
Stability:
Most products are stable for one year after shipment when properly stored
Some manufacturers indicate that aliquoting is unnecessary for -20°C storage
For optimal Western blot results with USHBP1 antibodies:
Sample preparation:
Positive controls: Heart tissue (highest expression), A549 cells, COLO 320 cells
Protein extraction methods should preserve native conformation when possible
Include protease and phosphatase inhibitors in lysis buffers
Protocol optimization:
Working dilution: 1:200-1:1000 (requires empirical determination)
Expected molecular weight: 90-100 kDa (higher than calculated 76 kDa)
Blocking: 5% non-fat milk or BSA in TBST is typically effective
Secondary antibody: Anti-rabbit IgG for most commercial USHBP1 antibodies
Troubleshooting considerations:
Multiple bands may indicate isoforms or degradation products
High background may require increased antibody dilution or alternative blocking agents
Weak signals may be improved with enhanced chemiluminescence systems or longer exposure times
Performing a dilution series experiment is recommended to determine the optimal antibody concentration for your specific experimental system.
Effective antigen retrieval is critical for successful USHBP1 immunohistochemistry:
Recommended methods:
Protocol considerations:
Heat-induced epitope retrieval (HIER) is generally more effective than enzymatic methods
Duration and temperature may need optimization based on fixation method and tissue type
Complete immersion of tissue sections in retrieval solution is essential
Tissue-specific validation:
The effectiveness of antigen retrieval can vary depending on tissue fixation parameters, so preliminary optimization comparing different retrieval methods is recommended when working with new tissue types.
Comprehensive validation of USHBP1 antibodies should include:
Essential validation experiments:
Western blot showing a single band at expected molecular weight (90-100 kDa)
Immunostaining patterns consistent with known tissue expression (highest in heart)
Lack of signal in negative controls (secondary antibody only, isotype controls)
Comparison across multiple detection methods (WB, IHC, IF)
Advanced validation approaches:
siRNA knockdown resulting in reduced USHBP1 signal
Peptide competition assays where pre-incubation with immunizing peptide blocks antibody binding
Comparison of results from multiple antibodies targeting different USHBP1 epitopes
Correlation with mRNA expression data
Documentation recommendations:
Maintain detailed records of validation experiments
Include positive and negative controls in all experiments
Report antibody catalog numbers, lot numbers, and dilutions in publications
Recent advances in antibody validation emphasize the importance of using orthogonal methods to confirm specificity beyond traditional approaches .
Recent research has developed biophysically-informed models to improve antibody design and specificity prediction:
Model approaches:
Integration of large-scale selection experiments with high-throughput sequencing
Incorporation of biophysical constraints to offer quantitative insights
Applications to antibody design:
Prediction of binding sites and epitopes on antigens like USHBP1
Design of antibodies with custom specificity profiles (highly specific or cross-reactive)
Experimental validation:
Phage display selections against various ligand combinations
Testing of model-predicted variants not present in training sets
Evaluation of disentangled binding modes associated with specific ligands
Benefits for USHBP1 research:
Potential for designing antibodies that discriminate between closely related epitopes
Reduction in experimental costs through computational prediction
Enhanced specificity for complex experimental applications
These approaches have demonstrated success in "designing antibodies with tailored specificity, with applications to protein engineering extending beyond the design of antibodies" .
Active learning offers promising strategies for more efficient antibody development:
Current challenges:
Out-of-distribution prediction when test antibodies and antigens are not represented in training data
Limited availability of comprehensive binding datasets due to high experimental costs
Difficulty in predicting many-to-many relationships between antibodies and antigens
Active learning solutions:
Start with small labeled datasets and iteratively expand them
Algorithms can reduce the number of required antigen mutant variants by up to 35%
Learning process acceleration by up to 28 steps compared to random data selection
Implementation strategies:
Library-on-library approaches for antibody-antigen binding prediction
Simulation frameworks like Absolut! for evaluating out-of-distribution performance
Integration of computational predictions with targeted experimental validation
This approach is particularly valuable for USHBP1 antibody development as it can significantly reduce experimental costs while improving specificity and cross-reactivity profiles.
When investigating USHBP1 in disease contexts, several factors deserve special consideration:
Disease relevance:
USHBP1 is associated with colorectal cancer and several genetic syndromes
Expression patterns may differ between normal and disease tissues
Consider epitopes that may be affected by disease-associated mutations
Model system compatibility:
Species reactivity: Confirm antibody works in your model organism (human, mouse, rat)
Validated applications: Ensure antibody is validated for your technique (WB, IHC, IF)
Tissue-specific considerations: Expression varies across tissues with highest in heart
Technical specifications:
| Parameter | Considerations |
|---|---|
| Sensitivity | Can detect low expression levels in disease-relevant tissues |
| Specificity | Minimal cross-reactivity with related proteins |
| Background | Low non-specific binding in disease tissues |
| Reproducibility | Consistent results across experiments |
Experimental controls:
Positive controls: Heart tissue (highest expression), A549 cells, COLO 320 cells
Negative controls: Secondary antibody only, isotype controls
Validation in disease context: Preliminary testing in relevant pathological tissues
Researchers working with USHBP1 across different species should consider:
Cross-reactivity considerations:
Verify antibody reactivity with human, mouse, and/or rat USHBP1
Check sequence homology between target epitopes across species
Some antibodies are species-specific while others cross-react
Protocol adjustments:
Western blot: Slight molecular weight variations may occur between species
IHC/IF: Optimization of antigen retrieval and blocking conditions may differ
Fixation sensitivity can vary between human and rodent samples
Species-specific positive controls:
Dilution optimization:
Working dilutions should be determined empirically for each species
Typical ranges:
Initial validation experiments comparing antibody performance across species are highly recommended before proceeding with full experimental series.
For successful immunofluorescence detection of USHBP1:
Sample preparation:
Cell lines: A549 cells have been validated for USHBP1 IF/ICC
Fixation: 4% paraformaldehyde is commonly used; methanol fixation may be tested as an alternative
Permeabilization: 0.1-0.5% Triton X-100 in PBS for adequate antibody access
Staining protocol:
Blocking: 1-5% BSA or normal serum from secondary antibody host species
Primary antibody dilution: 1:10-1:100 (requires optimization)
Incubation: Typically overnight at 4°C or 1-2 hours at room temperature
Secondary antibody: Fluorophore-conjugated anti-rabbit IgG (for rabbit primary antibodies)
Counterstaining: DAPI for nuclear visualization
Advanced approaches:
Co-staining with other relevant proteins to assess co-localization
Super-resolution microscopy for detailed subcellular localization
Live-cell imaging with fluorescently tagged USHBP1 to study dynamics
Controls:
Positive control: Cells known to express USHBP1 (A549 cells)
Negative controls: Primary antibody omission, non-specific IgG, cells with low/no expression
For direct detection, FITC-conjugated USHBP1 antibodies are available, which eliminate the need for secondary antibodies .
Accurate quantification of USHBP1 requires careful methodological considerations:
Western blot quantification:
Use appropriate loading controls (β-actin, GAPDH)
Include a standard curve of recombinant USHBP1 protein when possible
Analyze band intensity with software like ImageJ or specialized western blot analysis programs
Normalize USHBP1 signal to loading control for relative quantification
Immunohistochemistry quantification:
Use digital image analysis software for objective assessment
Quantify parameters such as staining intensity, percentage of positive cells, or H-score
Include reference standards on each slide for normalization
ELISA approaches:
Commercial USHBP1 ELISA kits or develop custom sandwich ELISA using available antibodies
Include standard curves with recombinant USHBP1 protein
Technical replicates to assess assay variation
RT-qPCR for complementary mRNA quantification:
Design specific primers for USHBP1 mRNA
Use reference genes appropriate for the tissue/cell type
Correlate protein levels with mRNA expression
Mass spectrometry for absolute quantification:
Targeted approaches using isotopically labeled standards
Provides the most accurate absolute quantification
Can distinguish between specific isoforms or post-translational modifications
Recent advances in antibody engineering provide strategies to improve specificity:
Computational approaches:
Biophysics-informed models that associate distinct binding modes with specific ligands
Machine learning to predict and optimize antibody-antigen binding
Design of new antibody sequences with predefined binding profiles
Experimental techniques:
Phage display selections against diverse ligand combinations
Epitope mapping to identify unique regions for antibody targeting
Affinity maturation to increase specificity for the target epitope
Hybrid strategies:
Starting with experimental data to train computational models
Using models to generate novel antibody variants
The integration of these approaches has been shown to "disentangle the different contributions to binding to several epitopes from a single experiment" and enable "the challenging problem of designing new, experimentally untried antibody sequences that discriminate closely related ligands" .
When working with USHBP1 antibodies, researchers may encounter several common challenges:
No signal detected:
Verify protein expression in your sample (use positive controls like heart tissue)
Optimize antibody concentration (try a dilution series)
Check detection system functionality with a known working antibody
Consider alternative antigen retrieval methods (TE buffer pH 9.0 or citrate buffer pH 6.0)
Multiple bands in Western blot:
Consider potential isoforms or post-translational modifications
Evaluate protein degradation (add protease inhibitors)
Test specificity with blocking peptides
High background:
Increase blocking concentration or time
Try alternative blocking agents (BSA vs. milk)
Increase washing duration and number of washes
Inconsistent results:
Standardize protocols thoroughly
Use the same lot of antibody when possible
Maintain consistent sample preparation methods
Include positive and negative controls in each experiment
Detailed troubleshooting table for specific applications:
| Issue | Western Blot | IHC/IF | Possible Solution |
|---|---|---|---|
| Weak signal | + | + | Lower antibody dilution, enhance detection system |
| Non-specific bands | + | - | Increase antibody dilution, optimize blocking |
| High background | + | + | Additional washing, increase blocking, higher antibody dilution |
| Variable results | + | + | Standardize protocols, use same antibody lot |
| No staining | + | + | Verify expression in sample, check antibody viability |