CELSR1 (Cadherin EGF LAG seven-pass G-type receptor 1) is a transmembrane protein critical for tissue polarity during embryogenesis. It facilitates PCP signaling by organizing asymmetric protein complexes at cell junctions . Its extracellular domain contains nine cadherin repeats, seven EGF-like domains, and laminin G motifs, enabling both cis- and trans-interactions .
Biotin Advantage: Biotinylation amplifies signal in IHC via streptavidin-enzyme/fluorophore conjugates, improving detection of low-abundance targets .
Validation: Bioss’s antibody detects CELSR1 in human skin and mouse lung tissues at dilutions of 1:50–1:200 .
Demonstrated in primary human dermal fibroblasts and mouse lung cells using biotin-streptavidin-PE complexes .
Cusabio’s antibody (CSB-PA868360ND01HU) is validated for ELISA with human samples .
Bioss guarantees reactivity in Western blot (WB) at 1:3,000–1:6,000 dilutions .
Cis-Interaction Role: The Celsr1 Crsh mutation disrupts lateral clustering of CELSR1, impairing PCP complex stability .
Adhesion Dynamics: CELSR1 forms dense puncta at cell borders via cis-interactions, critical for polarizing Fz6 and Vangl2 proteins .
FRAP Analysis: Wild-type CELSR1 exhibits low mobility at junctions (t₁/₂ > 60 min), while Crsh mutants show 5.5x faster recovery, indicating reduced stability .
Cross-Reactivity: Bioss’s antibody reacts with human, mouse, and rat CELSR1 , while Proteintech’s is human-specific .
Biotin Conjugation Kits: Commercial kits (e.g., LYNX Rapid Plus) enable efficient labeling with minimal antibody loss .
Interference Risks: Free biotin in conjugation buffers may cause background staining; filtration is recommended .
CELSR1 is a receptor potentially crucial for cell-cell signaling during nervous system development.
Research indicates CELSR1's involvement in several significant biological processes. Studies have linked CELSR1 to:
Further research continues to elucidate CELSR1's multifaceted roles in human health and disease.
CELSR1 (Cadherin EGF LAG seven-pass G-type receptor 1) is a receptor protein that plays a crucial role in cell-to-cell signaling during nervous system formation. This transmembrane protein belongs to the cadherin superfamily and is known by several aliases including Cadherin family member 9 (CDHF9), Flamingo homolog 2 (hFmi2), and FMI2 . With UniProt accession number Q9NYQ6, CELSR1 is primarily studied in neuroscience research contexts focusing on neural development, cell polarity, and signaling pathways .
CELSR1 antibodies are valuable tools for examining this protein's expression patterns, localization, and interactions within neural tissues. Biotin-conjugated variants offer enhanced detection sensitivity through the streptavidin-biotin interaction system.
Biotin-conjugated CELSR1 antibodies typically consist of:
Primary antibody structure: Usually polyclonal or monoclonal IgG raised in rabbit against specific CELSR1 epitopes
Conjugation chemistry: Biotin molecules covalently attached to the antibody, typically through amine/ester chemistry
Antibody target: Specific regions of the CELSR1 protein, such as peptide sequences from positions 345-363 AA in human CELSR1
Formulation: Commonly supplied in buffers containing preservatives (e.g., 0.03% Proclin 300) and stabilizers (e.g., 50% Glycerol, 0.01M PBS, pH 7.4)
The biotin moiety provides a strong affinity binding site for streptavidin-conjugated detection reagents, enabling sensitive visualization or quantification in various experimental platforms .
Biotin conjugation affects antibody performance in several ways:
Enhanced detection sensitivity through signal amplification, as multiple streptavidin molecules can bind to each biotinylated antibody
Potential modification of antibody binding kinetics, particularly if biotin molecules are conjugated near the antigen-binding region
Increased versatility in detection methods, as biotinylated antibodies can be detected using various streptavidin-conjugated reporter molecules
Extended shelf-life compared to some directly labeled antibodies, though proper storage remains essential
Possibility of interference in samples with high endogenous biotin content
Optimal performance requires careful consideration of the biotin-to-antibody ratio, which ideally ranges from 2-3 biotin molecules per antibody for most applications .
Biotin-conjugated CELSR1 antibodies are versatile reagents suitable for multiple techniques:
For sandwich ELISA applications specifically, using matched antibody pairs (e.g., CELSR1 capture and detector antibodies) can provide greater specificity and sensitivity for target detection .
Proper storage and handling are critical for maintaining antibody functionality:
Freeze/thaw cycles: Avoid repeated freezing and thawing; make small working aliquots
Buffer conditions: Typically supplied in stabilizing buffers containing glycerol (50%) and preservatives
Working dilutions: Prepare fresh and use within recommended time frames
Temperature during use: Maintain at refrigerated temperatures when not in use during experimental procedures
Contamination prevention: Use sterile technique when handling to prevent microbial contamination
Long-term storage stability can be enhanced by adding glycerol 1:1 before freezing if not already present in the formulation .
Designing an effective sandwich ELISA with biotin-conjugated CELSR1 antibodies requires:
Antibody pair selection: Use validated pairs with one capture antibody (typically at 2 μg/mL) and one detector antibody (typically at 0.5 μg/mL)
Plate preparation: Coat high-binding ELISA plates with capture antibody in appropriate buffer
Blocking optimization: Test different blocking agents to minimize background while maintaining specific signal
Sample preparation: Determine appropriate dilutions and pre-treatments for your specific sample type
Detection system: Select appropriate streptavidin-conjugated detection reagent (HRP is common)
Standard curve: Include recombinant CELSR1 protein standards at known concentrations
Controls: Include positive controls, negative controls, and background controls
Validation: Assess specificity, sensitivity, reproducibility, and dynamic range
Optimization through checkerboard titration experiments helps determine the ideal concentrations of capture antibody, detector antibody, and detection reagent for maximum sensitivity and specificity .
High background is a common challenge with biotin-conjugated antibodies that can be addressed through several strategies:
Endogenous biotin blocking:
Optimization of blocking conditions:
Test different blocking agents (BSA, normal serum, commercial blockers)
Increase blocking time or concentration
Include detergents like Tween-20 at appropriate concentrations
Antibody dilution optimization:
Perform titration experiments to determine optimal antibody concentration
More dilute antibody solutions often reduce non-specific binding
Washing optimization:
Increase wash stringency (more washes, longer duration)
Use appropriate buffers with detergents
Sample-specific strategies:
Pre-absorb antibodies with relevant tissues/proteins
Include tissue-specific blocking agents
Researchers should systematically test these approaches to determine which factors are contributing to background in their specific experimental system .
Comprehensive validation of antibody specificity includes:
Protein-level validation:
Western blot analysis to confirm detection of protein with expected molecular weight
Immunoprecipitation followed by mass spectrometry identification
Genetic validation:
Testing in CELSR1 knockout or knockdown models
Correlation of staining intensity with known expression levels
Epitope validation:
Competition assays with immunizing peptide
Testing multiple antibodies against different CELSR1 epitopes
Cross-reactivity assessment:
Testing against related proteins (other cadherins)
Testing in systems with controlled expression
Control experiments:
Inclusion of isotype controls
Secondary-only controls to assess non-specific binding
These validation steps help ensure that observed signals truly represent CELSR1 rather than non-specific binding or cross-reactivity .
The efficiency of biotin conjugation depends on several factors:
Chemistry parameters:
pH of reaction (typically 7.2-8.5 for amine-directed conjugation)
Temperature (usually room temperature for 1-2 hours)
Molar ratio of biotin reagent to antibody (controls degree of labeling)
Reaction time
Antibody considerations:
Purity of starting antibody (carrier proteins like BSA will compete for biotinylation)
Concentration (typically 1-10 mg/mL is optimal)
Buffer composition (avoid amine-containing buffers like Tris)
Antibody stability under reaction conditions
Biotin reagent selection:
Commercial kits like BiotinPure™ typically optimize these parameters to achieve 2-3 biotins per antibody, which represents an optimal balance between conjugation efficiency and preserved antibody activity .
Quantitative assessment of CELSR1 expression requires careful experimental design:
Standard curve establishment:
Use recombinant CELSR1 protein at known concentrations
Include multiple replicates and assess inter-assay variability
Sample preparation considerations:
Standardize cell/tissue lysis conditions
Normalize protein loading (total protein quantification)
Consider subcellular fractionation if studying localization
Control selection:
Include positive controls (tissues/cells with known CELSR1 expression)
Include negative controls (tissues/cells with minimal CELSR1 expression)
Include technical controls (isotype, secondary-only)
Quantification approach:
For ELISA: Calculate concentration based on standard curve
For immunoblotting: Densitometry normalized to loading controls
For imaging: Mean fluorescence intensity with background subtraction
Statistical analysis:
Determine appropriate statistical tests based on experimental design
Account for technical and biological replicates
Report measures of central tendency and variation
This systematic approach helps ensure reproducible, quantitative assessment of CELSR1 expression levels .
Multiplex experimental design requires careful planning:
Detection system compatibility:
Ensure spectral separation between fluorophores if using fluorescent detection
Consider signal strength differences between targets
Antibody combinations:
Verify absence of cross-reactivity between antibodies
Consider using the biotin-streptavidin system for the least abundant target
Test each antibody individually before combining
Protocol optimization:
Sequence of antibody application may be critical
May require separate incubation steps for different antibodies
Blocking conditions may need adjustment for multiple antibodies
Controls for multiplex systems:
Single-stained controls for each target
Fluorescence minus one (FMO) controls
Isotype controls for each antibody species and class
Analysis considerations:
Compensation for spectral overlap if using fluorescent detection
Potential need for linear unmixing algorithms
Sequential imaging may be preferable to simultaneous in some cases
These considerations help ensure reliable data interpretation in complex multiplex experimental systems .
Characterizing assay performance parameters requires systematic evaluation:
Standard curve analysis:
Create a dilution series of recombinant CELSR1 protein
Plot signal vs. concentration (log scale often appropriate)
Identify linear range and regions of non-linearity
Sensitivity determination:
Calculate lower limit of detection (LOD): typically 3 standard deviations above background
Determine lower limit of quantification (LLOQ): typically 10 standard deviations above background
Assess functional sensitivity through precision profile analysis
Dynamic range assessment:
Determine the range between LLOQ and the highest concentration with acceptable linearity
Express as orders of magnitude (e.g., 3-log dynamic range)
Precision analysis:
Calculate intra-assay CV% (multiple replicates in same experiment)
Calculate inter-assay CV% (same samples across multiple experiments)
Evaluate precision across the working range
Recovery and parallelism testing:
Spike known amounts of recombinant protein into sample matrix
Analyze dilution linearity of endogenous samples
These parameters provide critical information for experimental planning and interpretation of quantitative data .
Biotin-conjugated CELSR1 antibodies can enhance advanced imaging through:
Super-resolution microscopy:
Use with streptavidin-conjugated fluorophores designed for STORM, PALM, or STED
The biotin-streptavidin system provides amplification beneficial for single-molecule localization
Can be combined with click chemistry approaches for multiplexing
Expansion microscopy:
Biotin-streptavidin linkages offer strong binding during sample processing
Streptavidin-fluorophore conjugates can be applied post-expansion
Correlative light and electron microscopy (CLEM):
Biotin can be detected with streptavidin-gold for electron microscopy
Same sample can be processed for both fluorescence and EM imaging
Intravital imaging applications:
Biotin-conjugated antibody fragments may be used for in vivo imaging
Can be paired with near-infrared fluorophores for deep tissue penetration
These advanced applications capitalize on the strong biotin-streptavidin interaction combined with the specificity of CELSR1 antibodies .
Research involving repeated exposure to biotinylated reagents must consider immune responses:
Recognition of potential immune reactions:
Experimental design strategies:
Alternative approaches:
Use different conjugation chemistries for follow-up studies
Consider alternative detection systems in subjects with known anti-biotin responses
Implement epitope masking strategies if biotin conjugates must be used
Monitoring recommendations:
These considerations are particularly important for longitudinal studies involving repeated administration of biotin-labeled reagents .