STATH Antibody, Biotin conjugated

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Description

Key Attributes

ParameterDetail
Catalog NumberABIN6353191
Host SpeciesRabbit
ClonalityPolyclonal
ConjugationBiotin
ApplicationsWB, IHC, IF/ICC
ReactivityHuman
Purification MethodAntigen-specific affinity chromatography followed by Protein A affinity chromatography
Concentration200 µg/mL
Storage BufferPBS (pH 7.4) with 0.05% ProClin-300 and 50% glycerol
Storage Conditions4°C, protected from light

Functional Role of Biotin Conjugation

Biotinylation enables high-affinity binding to streptavidin or avidin, facilitating signal amplification in detection workflows . Key advantages include:

  • Versatility: Compatible with streptavidin-HRP, streptavidin-AP, or fluorophore conjugates for multiplex assays .

  • Enhanced Sensitivity: Biotin’s small size (240 Da) minimizes steric interference, preserving antibody-antigen binding efficiency .

  • Cost Efficiency: A single biotinylated antibody can pair with multiple detection reagents .

Western Blotting (WB)

  • Dilution Range: 1:200–1:400 (IHC), 1:300–5,000 (WB) .

  • Target Detection: Identifies STATH in human samples, aiding studies on oral microbiome dynamics .

Immunohistochemistry (IHC)

  • Protocol: Optimal dilutions determined empirically, with antigen retrieval recommended for formalin-fixed tissues .

Immunofluorescence (IF/ICC)

  • Utility: Localizes STATH in fixed cells, supporting research on salivary gland function .

Performance and Validation

  • Specificity: Targets the C-terminal region of human STATH (amino acids 20–62) .

  • Cross-Reactivity: Validated for human samples; predicted reactivity with mouse and rat requires confirmation .

  • Quality Control: Purified via dual-step chromatography to minimize nonspecific binding .

Comparative Analysis of Biotin-Conjugated Antibodies

FeatureSTATH Antibody (Biotin) STAT3 Antibody (Biotin) STAT6 Antibody (Biotin)
Host SpeciesRabbitRabbitRabbit
ClonalityPolyclonalPolyclonal/MonoclonalMonoclonal
ApplicationsWB, IHC, IF/ICCWB, IHC, IFWB, IHC-P
ReactivityHumanHuman, Mouse, RatHuman, Mouse
Concentration200 µg/mL0.5–1.0 mg/mLLot-dependent

Recent Advances in Biotin-Based Detection

  • Antibody Enrichment: Anti-biotin antibodies outperform streptavidin in peptide-level enrichment, increasing biotinylation site identification by 30-fold .

  • Lateral Flow Assays: Biotin-streptavidin systems enhance sensitivity in point-of-care diagnostics, as demonstrated in SARS-CoV-2 antigen detection .

Limitations and Considerations

  • Endogenous Biotin Interference: Mitochondrial biotinylated proteins may require blocking agents in cell-based assays .

  • Storage Stability: ProClin preservative in the storage buffer is hazardous, necessitating careful handling .

Future Directions

  • Multiplex Platforms: Integration with quantum dot-streptavidin conjugates for simultaneous detection of multiple oral biomarkers.

  • Therapeutic Targeting: Exploring STATH’s role in periodontal disease using biotinylated antibodies for targeted drug delivery .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
We typically dispatch orders within 1-3 business days of receipt. Delivery times may vary depending on the method of purchase and location. Please consult your local distributors for specific delivery timeframes.
Synonyms
Statherin, STATH
Target Names
STATH
Uniprot No.

Target Background

Function
Statherin is a salivary protein that stabilizes saliva supersaturated with calcium salts by inhibiting the precipitation of calcium phosphate salts. It also plays a role in modulating hydroxyapatite crystal formation on the tooth surface.
Gene References Into Functions
  1. A study found significant differences in total protein and statherin levels between eroded and non-eroded tooth surfaces in the same patient. PMID: 28837608
  2. Research suggests that statherin's effects on intracellular calcium levels and its subsequent molecular alterations may contribute to the pathogenesis of oral carcinogenesis. PMID: 25128293
  3. A study investigated the orientation of phenylalanine residues in statherin bound to hydroxyapatite surfaces. PMID: 22563672
  4. Data indicates that characterizing the statherin peptides generated can help elucidate their functional roles in the oral and gastro-intestinal environments. PMID: 20731414
  5. Research provides insights into the molecular interactions of statherin with hydroxyapatite surfaces. PMID: 19678690
  6. Statherin has been shown to inhibit calcium phosphate precipitation. PMID: 12060866
  7. Results suggest that a layer rich in statherin forms at the interface of saliva and air, and the surface rheology is influenced by protein interactions mediated by calcium. PMID: 15769251
  8. Statherin induces a transition to yeast in Candida albicans hyphae, potentially contributing to oral defense against candidiasis. PMID: 19799638

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Database Links

HGNC: 11369

OMIM: 184470

KEGG: hsa:6779

STRING: 9606.ENSP00000246895

UniGene: Hs.654495

Protein Families
Histatin/statherin family
Subcellular Location
Secreted.
Tissue Specificity
Secreted by parotid and submandibular glands.

Q&A

What is STATH and why is it significant in research applications?

STATH (Statherin) is a human protein commonly studied in salivary proteomics and calcium homeostasis research. The STATH antibody specifically targets human Statherin protein, with many commercial versions focusing on amino acids 20-62 of the protein sequence . Statherin plays a critical role in calcium phosphate homeostasis in saliva and has been implicated in various physiological processes. In research settings, antibodies against STATH are valuable tools for investigating these functions through various immunoassay techniques. The biotin-conjugated version enables researchers to leverage the exceptional binding properties of the biotin-(strept)avidin system while maintaining the specificity of the antibody-antigen interaction.

How does biotin conjugation impact antibody functionality?

Biotin conjugation provides significant advantages while largely preserving the native binding properties of the antibody. The relatively small size of biotin (240 Da) and its flexible valeric side chain make it well-suited for protein labeling without substantially altering the interaction of the antibody with its target ligand . This conjugation creates a versatile tool that can be detected through secondary reagents containing avidin or streptavidin. Importantly, the biotin-(strept)avidin system offers robust signal amplification capabilities, which increases detection sensitivity for very low concentrations of analyte while decreasing the number of steps required for measurement . This facilitates more rapid quantitation and analysis in experimental settings.

What are the primary applications of STATH Antibody, Biotin conjugated?

STATH Antibody, Biotin conjugated has been validated for multiple research applications, including:

  • Enzyme-Linked Immunosorbent Assay (ELISA)

  • Western Blotting (WB)

  • Immunohistochemistry (IHC)

  • Immunofluorescence/Immunocytochemistry (IF/ICC)

These applications leverage the biotin conjugation to enhance detection sensitivity through the biotin-(strept)avidin system, which is particularly valuable when target protein expression is low or when working with challenging sample types. The antibody's specificity for human STATH makes it particularly suitable for studies involving human tissue samples, cell cultures, or recombinant protein systems.

What are the optimal storage and handling conditions for STATH Antibody, Biotin conjugated?

To maintain optimal antibody performance, STATH Antibody, Biotin conjugated should be stored at 4°C and protected from light exposure . For long-term storage, some manufacturers recommend -20°C or -80°C to avoid repeated freeze-thaw cycles which can compromise antibody integrity . The typical formulation includes a buffer of 0.01 M PBS at pH 7.4, containing 0.03-0.05% Proclin-300 as a preservative and 50% glycerol to prevent freezing at standard freezer temperatures .

When handling the antibody, researchers should:

  • Minimize exposure to light as biotin conjugates can be photosensitive

  • Avoid contamination by using sterile techniques

  • Aliquot the stock solution to minimize freeze-thaw cycles

  • Be aware that Proclin-300 is classified as a hazardous substance and should be handled accordingly by trained personnel

What is the recommended protocol for optimizing STATH Antibody, Biotin conjugated in immunoassays?

The optimization process should include:

  • Titration experiments: Test a range of antibody concentrations to determine the optimal working dilution that maximizes specific signal while minimizing background. Most manufacturers note that the optimal working dilution should be determined experimentally by each investigator .

  • Blocking optimization: Test different blocking reagents (BSA, casein, commercial blockers) to reduce non-specific binding.

  • Incubation conditions: Optimize temperature and duration for both primary antibody and streptavidin-conjugate incubations.

  • Detection system selection: Choose an appropriate streptavidin-conjugated detection system (HRP, AP, fluorophores) based on required sensitivity and available equipment.

  • Controls implementation: Include proper positive and negative controls, including:

    • Positive control: Known STATH-expressing samples

    • Negative control: Samples without STATH expression

    • Secondary-only control: Omitting primary antibody to assess non-specific binding

    • Biotin blocking control: To assess potential endogenous biotin interference

This methodical approach ensures reliable and reproducible results while accounting for the specific characteristics of the biotin-conjugated antibody system.

How can researchers mitigate biotin interference in assays?

Biotin interference is a significant concern in biotin-streptavidin-based assays, particularly when working with biotin-rich samples . To mitigate this interference:

  • Pre-treatment of samples: Implement dialysis or ultrafiltration to remove free biotin from samples.

  • Alternative assay formats: Consider using an ELISA format without streptavidin-biotin binding, which is advisable to avoid interactions between biotin and target proteins .

  • Dilution testing: Perform serial dilutions of samples to identify potential hook effects caused by biotin interference.

  • Biotin-blocking steps: Add pre-incubation steps with streptavidin to sequester excess biotin before the detection step.

  • Sample-specific validation: For samples known to contain high biotin levels (e.g., egg yolk as mentioned in the research), validate results using alternative detection methods not dependent on biotin-streptavidin interactions .

It's worth noting that approximately 85% of chemiluminescence immunoassays are based on biotin-avidin/streptavidin systems, making awareness of potential biotin interference essential for accurate result interpretation .

How does the biotin-(strept)avidin system compare to other molecular interaction systems in immunoassays?

The biotin-(strept)avidin interaction is remarkably strong compared to other biomolecular interactions used in research applications. This exceptional binding strength contributes to its widespread use in various immunoassay designs. The table below demonstrates the significantly greater binding affinity of biotin-(strept)avidin interactions when compared to other common systems:

SystemAffinity KDRelative Strength
Biotin-(strept)avidin10−14–10−15Strongest
His6-tag–Ni2+10−13Very Strong
Nickel–nitrilotriacetic acid (Ni2+–NTA)10−13Very Strong
Monoclonal antibodies10−7–10−11Moderate to Strong
RNA–RNA binding protein10−9Moderate
Dinitrophenol (DNP)-anti-DNP10−8Moderate
Biotin–anti-biotin antibody10−8Moderate

This extraordinary affinity (10−14–10−15) is approximately 103 to 106 times higher than typical antigen-antibody interactions . The system's advantages extend beyond binding strength to include amplification of weak signals, efficient operation, robustness, and remarkable stability against manipulation, proteolytic enzymes, temperature and pH extremes, harsh organic reagents, and other denaturing conditions .

What strategies can be employed for multiplex detection systems using STATH Antibody, Biotin conjugated?

For multiplex detection involving STATH Antibody, Biotin conjugated, researchers can implement several strategies:

  • Spectral multiplexing: Utilize differentially labeled streptavidin molecules (e.g., streptavidin-PE, streptavidin-APC, streptavidin-Cy5) to detect biotin-conjugated antibodies targeting different proteins simultaneously.

  • Sequential detection: Implement multi-round immunostaining with intervening stripping or blocking steps to reuse the same fluorescent channel for different targets.

  • Spatial separation techniques: For tissue samples, adjacent sections can be used for different antibodies, or techniques like sequential chromogenic IHC can be employed.

  • Bead-based multiplexing: Incorporate STATH Antibody, Biotin conjugated into bead-based assays where different bead populations are identifiable by size or fluorescence characteristics.

  • Microarray formats: Spatially separated antibody spots can be used in combination with biotin-conjugated detection antibodies, including STATH Antibody.

When designing such multiplex systems, careful validation is required to ensure that:

  • There is no cross-reactivity between antibodies

  • Detection systems don't interfere with each other

  • The presence of one target doesn't affect the detection of others

  • Signal amplification is consistent across different targets

How can researchers optimize signal-to-noise ratios when using STATH Antibody, Biotin conjugated in microscopy?

Optimizing signal-to-noise ratios in microscopy applications involving STATH Antibody, Biotin conjugated requires attention to several methodological aspects:

  • Blocking optimization: Test different blocking reagents (BSA, normal serum, commercial blockers) at various concentrations to minimize non-specific binding. The blocking step is critical as insufficient blocking can lead to high background while excessive blocking might mask specific signals.

  • Antibody titration: Determine the optimal concentration of STATH Antibody, Biotin conjugated through a dilution series. Too high concentration can increase background while too low can produce weak specific signals.

  • Endogenous biotin blocking: Pre-treat samples with avidin/streptavidin followed by biotin to block endogenous biotin, particularly important in biotin-rich tissues.

  • Detection system selection: Choose appropriate streptavidin-conjugated fluorophores based on:

    • Spectral compatibility with other stains

    • Brightness relative to expected target abundance

    • Stability during imaging (resistance to photobleaching)

    • Quantum yield and extinction coefficient

  • Image acquisition parameters:

    • Optimize exposure time to prevent saturation

    • Adjust gain settings to enhance weak signals without introducing noise

    • Implement appropriate filter sets to maximize signal capture while minimizing bleed-through

  • Post-acquisition processing:

    • Apply deconvolution algorithms to improve signal resolution

    • Implement background subtraction methods appropriate to the sample type

    • Consider computational approaches like machine learning-based segmentation to distinguish specific signals from background

By systematically addressing these factors, researchers can significantly improve the quality of microscopy data obtained using STATH Antibody, Biotin conjugated in various imaging applications.

What are the potential sources of false results when using STATH Antibody, Biotin conjugated?

Several factors can contribute to false positive or false negative results when using STATH Antibody, Biotin conjugated in research applications:

Sources of false positives:

  • Endogenous biotin interference: Samples containing high levels of endogenous biotin can generate signals even in the absence of the target protein .

  • Non-specific binding: Insufficient blocking or high antibody concentrations can lead to antibody binding to non-target proteins.

  • Cross-reactivity: Though the antibody is specified for human STATH, potential cross-reactivity with similar epitopes in other proteins may occur.

  • Detection system artifacts: Endogenous enzymes (e.g., peroxidase, phosphatase) can generate signals with certain substrates if not properly blocked.

  • Sample contamination: Introduction of foreign material during sample preparation may lead to spurious results.

Sources of false negatives:

  • Epitope masking: Fixation or processing methods may alter the target epitope structure, preventing antibody recognition.

  • Insufficient antigen retrieval: Inadequate retrieval techniques may fail to expose the target epitope in fixed tissues.

  • Biotin-streptavidin blocking: Excessive biotin in samples may saturate the detection system, preventing visualization of the target .

  • Degraded reagents: Improper storage or handling of antibodies or detection reagents can compromise their functionality.

  • Suboptimal protocol parameters: Incorrect incubation times, temperatures, or buffer compositions can hinder antibody-antigen interactions.

To minimize these issues, researchers should implement comprehensive controls, including positive and negative tissue controls, isotype controls, and technology-specific controls (e.g., absorption controls for specific binding verification).

What validation steps should be performed before implementing STATH Antibody, Biotin conjugated in critical research?

Before incorporating STATH Antibody, Biotin conjugated into critical research protocols, the following validation steps should be performed:

  • Antibody specificity verification:

    • Western blot analysis to confirm binding to proteins of expected molecular weight

    • Peptide competition assays to demonstrate binding specificity

    • Testing in cell/tissue types with known STATH expression patterns

    • Comparison with alternative antibodies targeting different epitopes of STATH

  • Biotin conjugation assessment:

    • Verification of successful conjugation through biotin quantification assays

    • Functional testing with streptavidin detection systems

    • Comparison of conjugated versus unconjugated antibody performance

  • Application-specific optimization:

    • Titration experiments to determine optimal working concentration

    • Protocol optimization for specific sample types and applications

    • Determination of detection limits and dynamic range

  • Lot-to-lot consistency testing:

    • Performance comparison between different lots

    • Documentation of binding patterns and signal intensities

    • Establishment of acceptance criteria for new lot validation

  • Negative control testing:

    • Verification of performance in samples known to lack STATH expression

    • Testing with isotype control antibodies

    • Secondary-only controls to assess non-specific binding

These validation steps ensure reliable, reproducible results and should be documented thoroughly according to good laboratory practice guidelines. For particularly critical applications, orthogonal validation using alternative methods (e.g., mass spectrometry) may be warranted.

How is STATH Antibody, Biotin conjugated contributing to advancements in salivary proteomics?

STATH Antibody, Biotin conjugated is becoming an increasingly valuable tool in salivary proteomics research, where the detection and quantification of Statherin can provide insights into various physiological and pathological conditions. Recent methodological advances include:

  • Multiplex salivary protein profiling: Integration of STATH detection into multiplex panels that simultaneously measure multiple salivary proteins, providing comprehensive profiles relevant to oral health, systemic diseases, and stress responses.

  • Biomarker validation studies: Use of STATH Antibody, Biotin conjugated in targeted validation of mass spectrometry-discovered potential biomarkers, especially in studies examining calcium homeostasis disorders and enamel demineralization.

  • Single-cell analysis of salivary gland function: Application in imaging and flow cytometry approaches to understand the cellular origin and regulation of STATH production in different salivary gland cell populations.

  • Microfluidic immunoassay development: Incorporation into miniaturized, high-throughput platforms for rapid salivary diagnostics, leveraging the high-affinity biotin-streptavidin interaction (KD 10−14–10−15) for sensitive detection .

  • Exosome characterization: Utilization in studying salivary exosomes, where STATH may play roles in intercellular communication relevant to oral biology and disease.

These applications benefit from the biotin-streptavidin system's extraordinary stability against manipulation, proteolytic enzymes, temperature and pH extremes, which are particularly relevant when working with saliva samples containing numerous enzymes and variable pH conditions .

What methodological considerations are important when adapting STATH Antibody, Biotin conjugated for novel applications?

When adapting STATH Antibody, Biotin conjugated for novel applications, researchers should consider several methodological aspects:

  • Sample-specific optimization:

    • Different sample types (tissue, saliva, cell culture) may require distinct preparation methods

    • Matrix effects can influence biotin-streptavidin interactions

    • Endogenous biotin levels vary across sample types and may require specific blocking strategies

  • Detection system compatibility:

    • Various streptavidin-conjugated detection molecules (enzymes, fluorophores, quantum dots) offer different sensitivity, multiplexing capability, and stability profiles

    • Signal amplification strategies should be selected based on expected target abundance

  • Assay format considerations:

    • Direct vs. sandwich immunoassay approaches offer different sensitivity and specificity profiles

    • Competitive formats may be advantageous for small targets or in samples with potential interfering factors

    • Solid phase selection (plates, beads, membranes) impacts assay kinetics and washing efficiency

  • Biotin interference management:

    • Implementation of biotin blocking or depletion steps for biotin-rich samples

    • Alternative assay formats without streptavidin-biotin binding should be considered when biotin interference is a significant concern

    • Validation with alternative detection methods not dependent on biotin-streptavidin interactions

  • Data analysis adaptation:

    • Signal normalization strategies must account for assay-specific variables

    • Statistical approaches should be tailored to the experimental design and expected data distribution

    • Quality control metrics need to be established specifically for each novel application

By systematically addressing these considerations, researchers can successfully adapt STATH Antibody, Biotin conjugated for new experimental contexts while maintaining reliability and reproducibility of results.

How do different detection strategies compare when using STATH Antibody, Biotin conjugated?

Different detection strategies offer distinct advantages and limitations when used with STATH Antibody, Biotin conjugated:

Detection SystemSensitivityDynamic RangeAdvantagesLimitations
HRP-Streptavidin with ChemiluminescenceVery High~5 logs- Highest sensitivity
- Established protocols
- Compatible with various substrates
- Requires specialized equipment
- Signal fades over time
- Limited multiplexing
HRP-Streptavidin with Chromogenic SubstrateModerate~3 logs- Visual detection
- Permanent signal
- Equipment-free readout
- Lower sensitivity
- Difficult quantification
- Limited dynamic range
Fluorophore-StreptavidinHigh~4 logs- Multiple fluorophore options
- Excellent for multiplexing
- Spatial resolution in imaging
- Photobleaching
- Autofluorescence interference
- Requires fluorescence detection
Quantum Dot-StreptavidinHigh~4-5 logs- Exceptional photostability
- Narrow emission spectra
- High signal-to-noise
- Higher cost
- Specialized detection
- Potential nonspecific binding
Gold-StreptavidinLow-Moderate~2 logs- Visual readout
- Stable signal
- Simple implementation
- Limited sensitivity
- Poor quantitative performance
- Limited multiplexing

Selection of the optimal detection system should be based on:

  • Required sensitivity (limit of detection)

  • Available instrumentation

  • Need for quantitative precision

  • Multiplexing requirements

  • Sample type and potential interference factors

The extraordinary binding affinity of the biotin-streptavidin interaction (KD 10−14–10−15) provides a solid foundation for all these detection strategies, offering flexibility to researchers based on their specific experimental needs .

What considerations are important when comparing biotin-conjugated vs. directly labeled antibodies?

When comparing biotin-conjugated STATH antibodies to directly labeled alternatives, researchers should consider several factors:

Advantages of biotin-conjugated antibodies:

  • Signal amplification: The biotin-(strept)avidin system allows binding of multiple detection molecules per antibody, enhancing sensitivity for low-abundance targets .

  • Flexibility: The same biotin-conjugated primary antibody can be used with various streptavidin-conjugated detection systems.

  • Preservation of antibody activity: The small size of biotin (240 Da) and its flexible valeric side chain minimize interference with antibody binding capacity .

  • Stability: The biotin-(strept)avidin system exhibits extraordinary stability against manipulation, proteolytic enzymes, temperature and pH extremes .

  • Cost-efficiency: A single biotin-conjugated antibody can be paired with different detection systems, reducing the need for multiple directly labeled antibodies.

Advantages of directly labeled antibodies:

  • Streamlined protocols: Fewer incubation and washing steps lead to shorter assay times.

  • Elimination of biotin interference: No concerns about endogenous biotin competing with the detection system .

  • Reduced background: Fewer components in the detection system can result in cleaner backgrounds in some applications.

  • Precise quantification: Direct relationship between antibody binding and signal intensity simplifies quantitative analysis.

  • Multiplexing capability: Easier implementation in multiplex applications through direct spectral discrimination.

The choice between these approaches should be guided by:

  • Target abundance (biotin-streptavidin may be preferred for low-abundance targets)

  • Sample type (biotin-rich samples may be problematic with biotin-conjugated antibodies)

  • Required assay speed (directly labeled antibodies offer faster protocols)

  • Availability of detection systems (infrastructure constraints may limit options)

  • Experimental goals (qualitative detection vs. precise quantification)

What protocol modifications are necessary when using STATH Antibody, Biotin conjugated in challenging sample types?

Working with challenging sample types requires specific protocol adaptations to ensure optimal performance of STATH Antibody, Biotin conjugated:

For biotin-rich samples (e.g., egg yolk, liver, kidney):

  • Implement biotin blocking steps using unconjugated streptavidin/avidin followed by excess free biotin

  • Consider using an ELISA format without streptavidin-biotin binding to avoid interference

  • Dilute samples sufficiently to reduce biotin concentration below interference thresholds

  • Include biotin-depleted negative controls to establish background levels

For samples with high proteolytic activity:

  • Add protease inhibitor cocktails to extraction and assay buffers

  • Minimize sample processing time and maintain cold temperatures

  • Consider fixation steps that preserve epitope accessibility

  • Validate antibody performance with degraded sample controls

For fixed tissues with potential epitope masking:

  • Optimize antigen retrieval conditions (heat, pH, retrieval solution composition)

  • Extend primary antibody incubation time at lower temperatures (e.g., overnight at 4°C)

  • Increase detergent concentration in wash buffers to improve antibody penetration

  • Test alternative fixation protocols if possible for future samples

For samples with high background or non-specific binding:

  • Modify blocking solutions (test different proteins, concentrations, and additives)

  • Increase wash duration and frequency

  • Pre-absorb antibody with relevant tissues/proteins

  • Include appropriate absorption controls

These modifications should be systematically validated to ensure they enhance specific signal detection without introducing artifacts or compromising assay performance.

How can researchers optimize STATH Antibody, Biotin conjugated for quantitative analysis?

To optimize STATH Antibody, Biotin conjugated for reliable quantitative analysis, researchers should implement a comprehensive approach:

  • Standard curve development:

    • Prepare recombinant STATH protein standards of known concentration

    • Create standard curves covering the expected concentration range

    • Evaluate different curve-fitting models to determine optimal mathematical relationship

    • Include standards in each assay run to account for inter-assay variability

  • Assay validation parameters:

    • Determine limit of detection (LOD) and limit of quantification (LOQ)

    • Assess linear dynamic range where signal correlates with concentration

    • Evaluate intra-assay and inter-assay coefficient of variation (CV)

    • Test spike recovery and parallelism to confirm accuracy across sample types

  • Signal optimization:

    • Titrate antibody concentration to achieve optimal signal-to-noise ratio

    • Select detection system with appropriate sensitivity and dynamic range

    • Optimize incubation times to reach binding equilibrium without increasing background

    • Standardize washing procedures to ensure consistent background removal

  • Sample preparation standardization:

    • Develop consistent extraction protocols to ensure complete antigen recovery

    • Normalize sample input (total protein, cell number, tissue weight)

    • Identify and control for matrix effects that may influence quantitation

    • Consider sample pre-treatment to address biotin interference if relevant

  • Data analysis considerations:

    • Implement appropriate background subtraction methods

    • Use multi-parameter curve fitting for standard curves

    • Evaluate dilutional linearity to confirm reliable quantification

    • Establish acceptance criteria for quality control samples

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