The OPTN/Optineurin antibody (Biotin-60293) is a biotin-conjugated monoclonal antibody developed for research applications. It targets the Optineurin (OPTN) protein, a neuroprotective factor implicated in glaucoma and cellular membrane trafficking .
Target: OPTN (Gene Symbol: OPTN; UniProt ID: Q96CV9).
Host: Mouse (IgG1 isotype).
Conjugate: Biotin.
Applications: Western Blot (WB), Immunohistochemistry (IHC) .
| Application | Dilution Range | Reactivity |
|---|---|---|
| Western Blot (WB) | 1:500–1:2000 | Human |
| Immunohistochemistry (IHC) | 1:50–1:500 | Human pancreas cancer tissue |
The antibody is validated for detecting OPTN in human brain and pancreas cancer tissues. Antigen retrieval is recommended using TE buffer (pH 9.0) or citrate buffer (pH 6.0) for IHC .
OPTN is a multifunctional protein involved in:
Neuroprotection: Plays a role in protecting optic nerve head astrocytes from oxidative stress .
Membrane Trafficking: Interacts with Rab8 and huntingtin (HD) to regulate cellular morphogenesis .
Disease Association: Mutations in OPTN are linked to normal-pressure glaucoma (NPG) and adult-onset primary open-angle glaucoma .
The biotin conjugation enables detection via streptavidin-based systems, enhancing assay sensitivity in immunoassays .
Opticin (OPTC) is a secreted protein belonging to the small leucine-rich proteoglycan (SLRP) family, SLRP class III subfamily. It functions as an extracellular matrix structural constituent primarily found in the proteinaceous extracellular matrix. OPTC plays a crucial role in binding collagen fibrils and is involved in negative regulation of angiogenesis by competitively inhibiting endothelial cell interactions with collagen via alpha(1)beta(1) and alpha(2)beta(1) integrins. This inhibition prevents the strong adhesion required for proangiogenic signaling via these integrins .
The significance of OPTC in ophthalmological research and its involvement in extracellular matrix organization makes it an important target for antibody development. Antibodies against OPTC allow researchers to study its expression, localization, and interactions in normal and pathological states, particularly in contexts related to ocular tissues and angiogenesis regulation.
Biotin conjugation significantly enhances OPTC antibody functionality through several mechanisms:
Signal Amplification: Biotin conjugation enables signal amplification in detection systems, increasing sensitivity for detecting low concentrations of OPTC protein. This amplification occurs because multiple avidin or streptavidin molecules (each with multiple binding sites) can interact with biotin-labeled antibodies .
Versatility in Detection Systems: The biotin-conjugated antibody can be detected using various streptavidin-conjugated reporters (enzymes, fluorophores, or gold particles), providing flexibility in experimental design without requiring multiple specifically labeled primary antibodies .
Stability and Robustness: The biotin-(strept)avidin system offers remarkable stability against manipulation, proteolytic enzymes, temperature and pH extremes, harsh organic reagents, and other denaturing conditions .
Preserved Antibody Functionality: Biotin's relatively small size (240 Da) and flexible valeric side chain allow conjugation without significantly altering the antibody's binding properties or affinity for its target antigen .
The biotin-streptavidin interaction serves as a cornerstone of many immunoassay designs due to its exceptional binding characteristics:
Exceptional Binding Affinity: The binding affinity (K<sub>D</sub>) between biotin and streptavidin is approximately 10<sup>3</sup> to 10<sup>6</sup> times higher than typical antigen-antibody interactions, making it one of the strongest non-covalent biological bonds known .
Bridging Function: In immunoassays like the Bridged Avidin-Biotin (BRAB) method, the system creates a molecular bridge where the target antigen is "sandwiched" between an immobilized capture antibody and a biotin-labeled detection antibody. After washing, avidin or streptavidin is added, binding to the biotin label on the complex, followed by addition of a biotin-labeled enzyme that binds to the immobilized avidin .
Sequential Binding Events: In ELISA formats, biotin-conjugated antibodies bind to the target antigen, followed by the addition of avidin/streptavidin conjugated to horseradish peroxidase (HRP). This enzyme catalyzes the conversion of substrates like TMB (3,3',5,5'-tetramethylbenzidine) to produce a detectable color change, with signal intensity proportional to antigen concentration .
The system essentially separates antibody binding and signal generation functions, allowing for modular assay design and enhanced detection capabilities.
Commercial OPTC Antibody, Biotin conjugated preparations typically have the following characteristics:
| Parameter | Specification |
|---|---|
| Host Species | Rabbit |
| Clonality | Polyclonal |
| Isotype | IgG |
| Immunogen | Recombinant Human Opticin protein (20-332AA) |
| Species Reactivity | Human |
| Tested Applications | ELISA |
| Buffer Composition | 0.03% Proclin 300, 50% Glycerol, 0.01M PBS, pH 7.4 |
| Form | Liquid |
| Storage Recommendations | -20°C or -80°C; avoid repeated freeze-thaw cycles |
| Purification Method | Antigen Affinity Purified |
These biotin-conjugated antibodies are specifically designed for detecting human Opticin in research applications, particularly in ELISA formats where the biotin-streptavidin system enhances detection sensitivity .
Proper storage and handling of OPTC Antibody, Biotin conjugated is essential for maintaining its activity and extending its usable lifespan:
Temperature Requirements: Store at -20°C or -80°C upon receipt for long-term stability .
Avoid Freeze-Thaw Cycles: Minimize repeated freezing and thawing as this can significantly reduce antibody activity. Aliquot the antibody upon first thaw to minimize freeze-thaw cycles .
Working Solution Storage: If prepared as a working solution, biotin-conjugated antibodies can typically be stored at 4°C for up to two weeks, but should not be frozen in diluted form .
Protection from Light: For biotin conjugates, storage in amber vials or wrapped in aluminum foil is recommended to protect from light exposure, which can reduce activity over time.
Buffer Considerations: The antibody is supplied in a stabilizing buffer (0.03% Proclin 300, 50% Glycerol, 0.01M PBS, pH 7.4) that helps maintain activity. Avoid diluting in buffers that might compromise stability unless immediately before use .
Contamination Prevention: Use sterile techniques when handling to prevent microbial contamination, which can degrade the antibody and introduce experimental artifacts.
The optimal protocol for using OPTC Antibody, Biotin conjugated in ELISA typically follows this sequence:
Plate Coating:
Coat microtiter wells with anti-OPTC capture antibody or specific antigen (depending on whether direct or indirect detection is desired)
Incubate overnight at 4°C or for 1-2 hours at 37°C
Wash to remove unbound antibody/antigen
Blocking:
Block unoccupied binding sites with blocking buffer (typically BSA or non-fat dry milk in PBS)
Incubate for 1-2 hours at room temperature
Wash thoroughly
Sample Addition:
Biotin-Conjugated Antibody Addition:
Avidin/Streptavidin-HRP Addition:
Add avidin or streptavidin conjugated to horseradish peroxidase (HRP)
Incubate at room temperature for 30-60 minutes
Wash thoroughly
Substrate Addition:
Reaction Termination:
Add 50-100 μL of stop solution (typically sulfuric acid)
Mix thoroughly
Signal Detection:
For optimal performance, serial dilutions of samples should be prepared to ensure measurements fall within the linear range of the assay .
Determining the optimal concentration of OPTC Antibody, Biotin conjugated requires systematic titration:
Titration Experiment:
Prepare a series of antibody dilutions (typically 1:100, 1:500, 1:1000, 1:5000, and 1:10000)
Test each dilution against a constant concentration of positive control (recombinant OPTC protein)
Include negative controls to assess background signal
Signal-to-Noise Ratio Analysis:
Calculate the signal-to-noise ratio for each concentration by dividing the signal from positive samples by that from negative controls
Select the concentration that provides the highest signal-to-noise ratio while consuming the least amount of antibody
Standard Curve Assessment:
Cross-Validation:
The typical working concentration range for biotin-conjugated antibodies in ELISA is often between 0.1-10 μg/mL, but this must be empirically determined for each specific antibody and experimental system.
A robust experimental design with appropriate controls is essential for reliable results:
Positive Controls:
Negative Controls:
Buffer-only wells (no antigen)
Non-target protein samples
Samples from OPTC-knockout models (if available)
Antibody Controls:
Isotype control (biotin-conjugated non-specific IgG)
Non-biotinylated OPTC antibody to assess biotin contribution to signal
Pre-absorption control (antibody pre-incubated with excess recombinant OPTC)
Technical Controls:
Validation Controls:
Alternative detection method for the same target
Western blot validation of samples showing high ELISA signal
Spike-and-recovery experiments with known quantities of recombinant OPTC
The signal values obtained from these control wells are crucial for demonstrating that the blocking worked effectively and that there is no cross-reaction between assay components .
The biotin-streptavidin system significantly enhances detection sensitivity compared to conventional detection methods:
Signal Amplification Mechanism:
Biotin-conjugated antibodies enable signal amplification through the strong biotin-streptavidin interaction, which has a dissociation constant (K<sub>D</sub>) 10<sup>3</sup> to 10<sup>6</sup> times higher than typical antigen-antibody interactions
Each streptavidin molecule can bind four biotin molecules, creating a branched detection structure that amplifies signal
Lower Detection Limits:
Dynamic Range Comparison:
Biotin-conjugated systems typically offer a broader dynamic range (3-4 logs) compared to conventional direct detection methods (2-3 logs)
This expanded range is particularly valuable when measuring OPTC in samples with widely varying concentrations
Signal-to-Noise Advantages:
The high specificity of the biotin-streptavidin interaction combined with stringent washing steps produces superior signal-to-noise ratios
Regression analysis of serial dilution assays has demonstrated significant and stronger relationships in samples from properly immunized subjects (R² = 0.96) compared to negative controls (R² = 0.52)
These advantages make biotin-conjugated OPTC antibodies particularly valuable for detecting low abundance targets or for applications requiring enhanced sensitivity.
Non-specific binding can significantly impact assay performance. Several strategies can minimize this issue:
Optimized Blocking Protocols:
Use protein-based blockers (2-5% BSA, casein, or non-fat dry milk) to effectively occupy non-specific binding sites
Consider specialized blocking agents for biotin-streptavidin systems that contain no endogenous biotin
Extend blocking time to ensure complete coverage of non-specific binding sites
Buffer Optimization:
Add 0.05-0.1% Tween-20 to washing and dilution buffers to reduce hydrophobic interactions
Include 0.1-0.5 M NaCl in buffers to reduce ionic interactions
For samples with high background, consider adding 1-5% normal serum from the same species as the secondary reagent
Pre-absorption Procedures:
Pre-absorb the biotin-conjugated antibody with tissue/cell lysates from species or tissues not expressing the target
Use an irrelevant protein matrix similar to the test sample matrix for diluting standards and reagents
Streptavidin System Considerations:
Wash Protocol Enhancement:
Increase the number and volume of washes between each step
Use automated washers when available for more consistent washing
Consider more stringent wash buffers for problematic samples
Implementation of these strategies should be empirically tested and optimized for each specific experimental system.
Verifying antibody specificity in complex samples requires multiple validation approaches:
Western Blot Validation:
Perform western blot analysis of samples to confirm a single band at the expected molecular weight of OPTC (~45-50 kDa)
Include positive controls (recombinant OPTC) and negative controls
Peptide competition assay: pre-incubate antibody with excess immunizing peptide before western blot to confirm signal elimination
Immunoprecipitation Followed by Mass Spectrometry:
Use the biotin-conjugated OPTC antibody to immunoprecipitate from complex samples
Analyze the precipitated material by mass spectrometry to confirm OPTC identity
Check for co-precipitating proteins that might represent specific binding partners versus non-specific interactions
Cross-Reactivity Testing:
Test the antibody against recombinant proteins with similar sequences or structures
Evaluate reactivity in tissues/cells known to express or lack OPTC
Test across species if cross-reactivity is claimed by the manufacturer
Correlation with Alternative Detection Methods:
Compare results with alternative OPTC antibodies targeting different epitopes
Correlate protein detection with mRNA expression data (RT-PCR or RNA-seq)
Use genetic models (knockdown, knockout, or overexpression) to confirm specificity
Dilution Linearity and Parallelism:
These validation steps collectively provide strong evidence for antibody specificity and are essential for confident interpretation of experimental results.
Several factors can interfere with biotin-based detection systems:
Endogenous Biotin:
Samples with high endogenous biotin (serum, tissue extracts, especially from biotin-supplemented subjects) can compete for streptavidin binding sites
This interference can lead to falsely decreased signals
Pre-treatment of samples with streptavidin-agarose to remove endogenous biotin may be necessary for highly biotin-rich samples
Hook Effect:
Extremely high concentrations of OPTC can paradoxically decrease signal (high-dose hook effect)
This occurs when excess target saturates both capture and detection antibodies independently, preventing formation of the sandwich complex
Testing multiple sample dilutions can identify and circumvent this effect
Heterophilic Antibodies:
Human anti-animal antibodies in samples can bridge capture and detection antibodies, causing false positive signals
Addition of irrelevant animal IgG or commercial blockers of heterophilic antibodies can mitigate this interference
Biotin-Streptavidin Binding Inhibitors:
Certain drugs, dyes, or chemicals can interfere with biotin-streptavidin binding
Samples containing high concentrations of biotin analogs should be avoided or specially processed
Matrix Effects:
Components in complex biological samples can non-specifically bind to assay components or affect enzyme activity
Sample dilution in assay buffer can reduce matrix effects
Using matrix-matched calibrators and controls can improve quantification accuracy
Understanding these potential interference factors is crucial for designing robust assays and correctly interpreting results, especially when working with complex biological samples.
Inconsistent signals in ELISA using biotin-conjugated antibodies can stem from various sources:
Reagent Stability Issues:
Technical Execution Variables:
Standardize incubation times and temperatures precisely
Ensure consistent washing steps (number, volume, and technique)
Verify plate reader performance with calibration standards
Use calibrated pipettes and standardize pipetting technique
Environmental Factors:
Control laboratory temperature and humidity
Protect TMB substrate from light exposure during incubation
Minimize plate edge effects by using only interior wells or buffer-filled outer wells
Allow all reagents to equilibrate to room temperature before use
Sample-Related Issues:
Systematic Investigation Approach:
Design a structured troubleshooting experiment varying one parameter at a time
Include internal controls on each plate to normalize inter-plate variation
Create a coefficient of variation (CV) profile across the assay range to identify problem areas
Implement statistical process control charts to monitor assay performance over time
Through systematic evaluation of these variables, researchers can identify and address sources of inconsistency to achieve reliable and reproducible results.
Several advanced techniques can characterize binding kinetics:
Bio-Layer Interferometry (BLI):
Immobilize biotin-conjugated OPTC antibody on streptavidin biosensors
Measure real-time binding to various concentrations of antigen
Determine association rate (k<sub>on</sub>), dissociation rate (k<sub>off</sub>), and equilibrium dissociation constant (K<sub>D</sub>)
This label-free technique allows direct measurement of binding events by detecting changes in the interference pattern of light reflected from the biosensor tip
Surface Plasmon Resonance (SPR):
Similar to BLI but based on different physical principles
Provides real-time binding data with minimal sample consumption
Allows determination of affinity constants and binding kinetics
Can differentiate between specific and non-specific interactions
Isothermal Titration Calorimetry (ITC):
Measures heat released or absorbed during binding
Provides complete thermodynamic profile (ΔH, ΔS, ΔG)
No immobilization required, eliminating potential artifacts
Particularly useful for comparing different antibody-antigen interactions
ELISA-Based Kinetic Analysis:
Perform time-course experiments with varying antibody concentrations
Plot binding curves at different time points
Apply appropriate kinetic models to extract rate constants
While less precise than dedicated kinetic methods, this approach uses standard laboratory equipment
Competitive Binding Assays:
Use unlabeled OPTC to compete with labeled OPTC for antibody binding
Measure IC<sub>50</sub> values at different incubation times
Apply Cheng-Prusoff equation to determine K<sub>i</sub> values
Helpful for comparing relative affinities between different antibodies
These approaches provide valuable insights into antibody-antigen interactions, helping researchers select optimal antibodies for specific applications and understand binding mechanisms.
A comprehensive validation strategy for specific tissues or cells includes:
Expression Profile Verification:
Confirm OPTC expression in your tissue/cell type using transcriptomic data (RNA-seq or qPCR)
Compare observed signal patterns with known OPTC distribution in tissues
For novel applications, start with established positive control tissues (e.g., vitreous humor, eye tissues) alongside your experimental samples
Preabsorption Controls:
Preincubate the antibody with excess recombinant OPTC protein
Apply both preabsorbed and non-preabsorbed antibody to your samples
Signal elimination in preabsorbed samples confirms specificity
Multiple Detection Methods:
Validate OPTC presence using orthogonal techniques (Western blot, immunohistochemistry, mass spectrometry)
Compare results across techniques to establish concordance
Discordant results may indicate tissue-specific post-translational modifications or isoforms
Titration in Target Tissue:
Perform antibody dilution series specifically in your tissue/cell type
Determine optimal concentration through signal-to-noise ratio analysis
Optimal concentration may differ from manufacturer recommendations depending on OPTC abundance in your specific sample type
Genetic Manipulation Controls:
Use OPTC-knockdown (siRNA, shRNA) samples as negative controls
Employ OPTC-overexpression systems as positive controls
Signal correlation with genetic manipulation provides strong validation evidence
Cross-Reactivity Assessment:
Test antibody against tissue samples from OPTC-knockout models (if available)
Evaluate potential cross-reactivity with related proteins expressed in your tissue
Particularly important for tissues expressing multiple SLRP family members
Tissue-specific validation ensures reliable results in your experimental system and may reveal tissue-specific characteristics of OPTC expression and function.
High background signals can compromise assay sensitivity and specificity. Several targeted approaches can resolve this issue:
Blocking Optimization:
Test different blocking agents (BSA, casein, normal serum, commercial blockers)
Extend blocking time (2-16 hours) and/or increase blocking agent concentration
Use biotin-free blocking agents when working with biotin-streptavidin systems
Consider sequential blocking with different blockers for particularly problematic samples
Washing Enhancement:
Increase washing stringency (more washes, higher detergent concentration)
Implement programmed plate washers for consistent washing
Use PBS-T (PBS with 0.05-0.1% Tween-20) followed by PBS alone as a final wash
Allow longer soaking times during wash steps for more effective removal of unbound reagents
Reagent Dilution Adjustments:
Optimize antibody dilution to minimize excess antibody
Prepare reagents in blocking buffer rather than basic buffer
Include 0.05-0.1% Tween-20 in all diluents to reduce non-specific binding
Consider adding 1-5% normal serum from the secondary reagent species to antibody diluents
Streptavidin-System Specific Approaches:
Sample Preparation Modifications:
Implement additional centrifugation/filtration steps to remove particulates
Pre-clear samples with Protein A/G before analysis
Test different dilution buffers that may better match sample matrix
Consider sample pre-treatment to remove interfering substances
Systematic implementation and evaluation of these strategies can significantly improve signal-to-noise ratio and assay performance.
Multiplexed detection systems offer efficient simultaneous measurement of multiple targets:
Multiplex ELISA Strategies:
Combine biotin-conjugated OPTC antibody with differently labeled antibodies against other targets
Use spectrally distinct streptavidin conjugates (different fluorophores) for parallel detection
Implement spatial separation on segmented plates or arrays
Carefully validate for cross-reactivity and interference between detection systems
Bead-Based Multiplex Assays:
Couple capture antibodies to differently coded microbeads
Use biotin-conjugated OPTC antibody among other detection antibodies
Add streptavidin-phycoerythrin for fluorescent detection
Multiplex capability allows simultaneous measurement of OPTC alongside related proteins or biomarkers
Imaging Applications:
Employ biotin-conjugated OPTC antibody with differently labeled antibodies in immunofluorescence
Use streptavidin conjugated to quantum dots for photostable, narrow-emission detection
Combine with other biomarkers to study co-localization or expression patterns
Particularly valuable for studying OPTC's role in extracellular matrix organization
Protein Array Systems:
Include OPTC antibody in antibody arrays for proteome profiling
Detect captured proteins using biotin-conjugated detection antibodies
Process with streptavidin-conjugated reporter molecules
Enable high-throughput screening of OPTC expression across multiple samples
Biosensor Integration:
Incorporate biotin-conjugated OPTC antibody into multiplexed biosensor platforms
Utilize the exceptional binding affinity of the biotin-streptavidin system for stable sensor functionalization
Implement in bio-layer interferometry (BLI) systems for real-time, label-free detection
Combine with other biomarker measurements for comprehensive sample analysis
These multiplexed approaches maximize information yield while minimizing sample consumption, particularly valuable for precious or limited samples.
Emerging applications of OPTC antibodies span multiple research domains:
Angiogenesis Research:
Investigation of OPTC's role in inhibiting endothelial cell interactions with collagen
Studying how OPTC competitively inhibits interactions via alpha(1)beta(1) and alpha(2)beta(1) integrins
Exploring potential therapeutic applications in pathological angiogenesis
Development of anti-angiogenic therapies based on OPTC's biological functions
Extracellular Matrix Biology:
Mapping OPTC distribution and interactions in various tissues
Investigating OPTC's role in extracellular matrix organization and stability
Studying interactions with other matrix components, particularly collagens
Understanding matrix remodeling in development and disease
Ophthalmological Research:
Characterizing OPTC expression patterns in normal and diseased ocular tissues
Investigating OPTC's role in vitreous gel structure maintenance
Studying potential involvement in eye diseases like glaucoma and vitreoretinopathies
Development of diagnostic markers for ophthalmic conditions
Biomarker Development:
Evaluating OPTC as a potential biomarker for specific diseases
Developing standardized assays for clinical research applications
Investigating correlations between OPTC levels and disease progression
Integration into multiplexed biomarker panels
Tissue Engineering:
Utilizing OPTC's properties in designing biomaterials
Monitoring OPTC expression as a marker for successful matrix organization
Incorporating OPTC in engineered tissues to recapitulate native extracellular matrix
Studying OPTC's contribution to biomechanical properties of engineered tissues
These emerging applications highlight the expanding role of OPTC research beyond traditional areas, opening new avenues for investigation and potential therapeutic interventions.