EDAR Antibody, Biotin conjugated

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Description

Mechanism and Structure

EDAR is a type I transmembrane receptor activated by its ligand, ectodysplasin-A (EDA). The biotin-conjugated EDAR antibody binds specifically to EDAR, enabling detection via streptavidin-linked probes (e.g., HRP, fluorophores, or beads). This conjugation leverages the high-affinity interaction between biotin and streptavidin, enhancing assay sensitivity and flexibility .

Key Features of Biotin Conjugation

FeatureDescription
Target SpecificityDirect binding to EDAR epitopes, validated in Western blot (WB) and immunohistochemistry (IHC) .
Signal AmplificationStreptavidin-HRP or streptavidin-AP amplifies ELISA/WB signals .
Multi-Use FlexibilityCompatible with diverse detection systems (e.g., fluorophores, nanoparticles) .

Applications in Research

Biotin-conjugated EDAR antibodies are employed in:

2.1. Western Blotting

  • Detection of EDAR Protein: Used to confirm EDAR expression in cell lysates or tissue samples.

  • Cross-Reactivity: Validated for human and mouse EDAR with <1% cross-reactivity against other TNF receptors (e.g., CD40, Fas) .

2.2. ELISA and Affinity Purification

  • Sandwich ELISA: Biotinylated EDAR antibodies paired with streptavidin-HRP for quantification.

  • Protein Pull-Down: Streptavidin-coated beads capture EDAR-bound complexes for downstream analysis .

2.3. Immunohistochemistry (IHC)

  • Tissue Localization: Identifies EDAR expression in skin, hair follicles, or ectodermal tissues .

3.1. Site-Specific Conjugation Advances

Recent studies highlight site-specific biotin conjugation to minimize epitope interference. For example:

  • N-Terminal Labeling: Reductive alkylation achieves >90% labeling efficiency at the N-terminus, preserving antibody functionality .

  • Clinical Relevance: Used in anti-drug antibody (ADA) assays to avoid masking critical epitopes .

3.2. Antibody-Drug Conjugate (ADC) Platforms

Biotin-streptavidin systems enable rapid ADC screening:

  • Toxin Conjugation: Biotinylated toxins (e.g., saporin) linked to antibodies via streptavidin for targeted cytotoxicity .

  • HER2 Targeting: Biotin-trastuzumab guides Universal CAR T cells to HER2+ tumors, bypassing antibody-dependent cellular cytotoxicity (ADCC) resistance .

3.3. Biotin Interference Mitigation

High endogenous biotin levels in samples (e.g., egg yolk) can interfere with streptavidin-based detection. Solutions include:

  • Blocking Agents: Pre-treatment with biotin-binding proteins (e.g., streptavidin) to neutralize free biotin .

4.1. EDAR Antibody, Biotin Conjugated (R&D Systems, BAF157)

ParameterSpecification
HostGoat polyclonal
ConjugateBiotin
ApplicationsWestern blot
Dilution1:100 – 1:500 (WB)
Cross-ReactivityHuman and mouse EDAR
Storage-20°C to -70°C (lyophilized); 1 month at 2–8°C (reconstituted)

Source:

4.2. EDAR Antibody, Biotin Conjugated (CUSABIO, CSB-PA892357LD01HU)

ParameterSpecification
HostRabbit polyclonal
ConjugateBiotin
ApplicationsELISA
DilutionOptimized per assay

Source:

Comparative Analysis of EDAR Antibodies

ProductHostConjugateApplicationsCross-Reactivity
R&D Systems BAF157GoatBiotinWBHuman, mouse
CUSABIO CSB-PA892357LD01HURabbitBiotinELISAHuman
Non-conjugated EDAR (CUSABIO)RabbitWB, IHC, IFHuman

Future Directions

  • Therapeutic Applications: Biotin-conjugated EDAR antibodies may enable targeted delivery of payloads to ectodermal tissues in genetic disorders (e.g., X-linked hypohidrotic ectodermal dysplasia) .

  • Multi-Omics Integration: Combining biotin-EDAR antibodies with mass spectrometry to study EDAR-interacting proteins .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Typically, we can ship the products within 1-3 business days of receiving your order. Delivery times may vary depending on the purchase method or location. Please consult your local distributors for specific delivery times.
Synonyms
Anhidrotic ectodysplasin receptor 1 antibody; DL antibody; Downless (mouse) homolog antibody; Downless homolog antibody; Downless mouse homolog of antibody; ECTD10A antibody; ECTD10B antibody; Ectodermal dysplasia receptor antibody; Ectodysplasin 1 anhidrotic receptor antibody; Ectodysplasin A receptor antibody; Ectodysplasin A1 isoform receptor antibody; Ectodysplasin-A receptor antibody; ED 1R antibody; ED 3 antibody; ED 5 antibody; ED1R antibody; ED3 antibody; ED5 antibody; EDA 1R antibody; EDA 3 antibody; EDA A1 receptor antibody; EDA A1R antibody; EDA-A1 receptor antibody; EDA1R antibody; EDA3 antibody; Edar antibody; EDAR_HUMAN antibody; HRM1 antibody; Tumor necrosis factor receptor superfamily member EDAR antibody
Target Names
EDAR
Uniprot No.

Target Background

Function
This antibody recognizes EDA isoform A1, but not EDA isoform A2. It mediates the activation of NF-kappa-B and JNK. It may also promote caspase-independent cell death.
Gene References Into Functions
  1. Ten quantitative trait-associated mutations for oxygen saturation (SaO2) and five for blood platelet count have been identified at the Edar Receptor (EDAR) locus. rs10865026 (associated with SaO2) and rs3749110 (associated with platelet count) are functional candidate targets. EDAR has undergone natural selection in recent human history, and variants in this gene play a significant role in Tibetan high-altitude adaptations. PMID: 28795375
  2. Research suggests that single nucleotide polymorphisms (SNPs) in EDAR could contribute to non-syndromic tooth agenesis. Furthermore, EDAR can be considered a marker gene for the risk of tooth agenesis. PMID: 28808699
  3. A genome-wide scan in 709 Uyghur samples revealed associations between hair straightness and both EDAR (rs3827760: P = 1.92 x 10(-12)) and TCHH (rs11803731: P = 1.46 x 10(-3)). However, EDAR (OR 0.415) demonstrated a greater effect on hair straightness than TCHH (OR 0.575). PMID: 27487801
  4. Partial least square path model analysis confirms that the EDARV370A variant systematically affects these weakly related ectodermal-derived characteristics, suggesting a pleiotropic effect primarily during early embryo development. PMID: 26603699
  5. Four traits of ear pinna anatomical variation are associated with a functional variant in the EDAR gene, a key regulator of embryonic skin appendage development. PMID: 26105758
  6. A novel frameshift mutation in an Italian family with autosomal dominant hypohidrotic ectodermal dysplasia has been identified, resulting in a mild clinical phenotype. PMID: 24641098
  7. Individuals carrying a c.1072C > T mutation in the EDAR gene exhibit more hair shaft deformations, confirming the role of EDAR in human hair follicle development and postnatal hair follicle cycling. PMID: 26336973
  8. It has been confirmed that EDARV370A, a variant that originated in East Asia approximately 30,000 years ago, played a crucial role in incisor shoveling in East Asia. This suggests that incisor shoveling in modern East Asians appeared after the late Pleistocene. PMID: 24752358
  9. Individuals with a c.1072C > T mutation in the EDAR gene display a typical pattern of congenitally missing teeth in the frontal area, leading to functional consequences. PMID: 24884697
  10. Whole-exome sequencing has revealed a novel homozygous missense mutation in EDAR, causing autosomal recessive HED associated with palmoplantar hyperkeratosis and the absence of breasts. PMID: 23210707
  11. A knockin mouse model has demonstrated that, as in humans, hair thickness is increased in EDAR370A mice. New biological targets affected by the mutation were identified, including mammary and eccrine glands. Building on these results, EDAR370A was found to be associated with an increased number of active eccrine glands in the Han Chinese. PMID: 23415220
  12. This is the first report of a founder EDAR mutation and of a significantly high frequency of autosomal recessive HED. PMID: 22032522
  13. WNT10A and EDAR were each responsible for 16% of hypohidrotic/anhidrotic ectodermal dysplasia cases. PMID: 20979233
  14. Screening of all 12 exons and splice junctions of the EDAR gene revealed a novel missense mutation (c.1163T>C; p.Ile388Thr) in family A and a novel insertion mutation (c.1014insA; p.V339SfsX6) in family B. PMID: 21771270
  15. Data indicates that 25 different mutations on EDA and EDAR genes were detected in HED patients. PMID: 20236127
  16. A novel compound heterozygous mutation [c.52-2A>G; c.212G>A (p.Cys71Tyr)] was identified; highlighting the significance of the EDAR signaling pathway in ectodermal morphogenesis. PMID: 20033817
  17. DNA sequence analysis of the EDAR gene in a Pakistani family, demonstrating autosomal recessive form of hypohidrotic ectodermal dysplasia, identified a novel homozygous mutation affecting the splice donor site of exon 5 [IVS5+1G > or = C] of the gene. PMID: 20199431
  18. Isoforms of EDA-A5 and A5' activate NF-kappaB through receptors EDAR and XEDAR. PMID: 16423472
  19. EDAR mutations account for one-quarter of non-ED1-related hypohidrotic ectodermal dysplasia cases. PMID: 16435307
  20. A novel deletion mutation has been reported in a Pakistani family with autosomal recessive hypohidrotic ectodermal dysplasia. PMID: 17501952
  21. This study reports the molecular analyses of four patients from India with hypohidrotic ectodermal dysplasia, three of whom harbor novel mutations, two in the EDA gene and one in the EDAR gene. PMID: 17970812
  22. EDAR is a major genetic determinant of Asian hair thickness, and the 1540C allele spread through Asian populations due to recent positive selection. PMID: 18065779
  23. Patients with homozygous or compound heterozygous mutations in the EDAR gene exhibit a more severe phenotype of hypohidrotic ectodermal dysplasia compared to those with a heterozygous missense, nonsense or frame-shift mutation. PMID: 18231121
  24. This study shows that the derived EDAR370A, common in East Asia, has a more potent signaling output than the ancestral EDAR370 V. It also demonstrates that elevation of Edar activity in transgenic mice converts their hair phenotype to the typical East Asian morphology. PMID: 18561327
  25. EDAR is the genetic determinant of hair thickness and a strong contributor to hair fiber thickness variation among Asian populations. PMID: 18704500
  26. These results expand the allelic series for mutations underlying hypohidrotic ectodermal dysplasia. PMID: 19438931
  27. Recurrent mutations in functionally-related EDA and EDAR genes underlie X-linked isolated hypodontia and autosomal recessive hypohidrotic ectodermal dysplasia. PMID: 19551394
  28. An EDAR variant is a genetic determinant of shovel-shaped incisors. PMID: 19804850

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Database Links

HGNC: 2895

OMIM: 129490

KEGG: hsa:10913

STRING: 9606.ENSP00000258443

UniGene: Hs.171971

Involvement In Disease
Ectodermal dysplasia 10A, hypohidrotic/hair/nail type, autosomal dominant (ECTD10A); Ectodermal dysplasia 10B, hypohidrotic/hair/tooth type, autosomal recessive (ECTD10B)
Subcellular Location
Membrane; Single-pass type I membrane protein.
Tissue Specificity
Detected in fetal kidney, lung, skin and cultured neonatal epidermal keratinocytes. Not detected in lymphoblast and fibroblast cell lines.

Q&A

What is the basic mechanism behind biotin-conjugated EDAR antibody detection systems?

Biotin-conjugated EDAR antibodies function through the high-affinity interaction between biotin and streptavidin/avidin. This non-covalent binding is one of the strongest in nature, making it ideal for detection systems. When EDAR antibodies are labeled with biotin, they can be visualized using streptavidin conjugated to detection molecules (fluorophores, enzymes, etc.). The system utilizes biotin as a bridge between the antibody and the detection system, enabling signal amplification and enhanced sensitivity in various immunoassays .

How does the structure of biotin-conjugated EDAR antibodies affect their functionality?

The functionality of biotin-conjugated EDAR antibodies is significantly influenced by the spatial arrangement of biotin molecules on the antibody structure. EDAR antibodies maintain their antigen-binding specificity after biotin conjugation, provided the biotin molecules don't interfere with the antigen-binding sites. Biotin-SP (which includes a 6-atom spacer) extends the biotin moiety away from the antibody surface, increasing accessibility to streptavidin binding sites and subsequently enhancing detection sensitivity, especially when used with alkaline phosphatase-conjugated streptavidin . The proper preservation of the antibody's native conformation during conjugation is critical for maintaining its specificity toward the EDAR antigen.

What types of detection systems can be paired with biotin-conjugated EDAR antibodies?

Biotin-conjugated EDAR antibodies can be paired with multiple detection systems:

Detection SystemApplicationsSensitivity Range
Streptavidin-HRPWestern blotting, ELISA, IHC1:5,000-1:50,000 dilution
Streptavidin-FluorophoresImmunofluorescence, Flow cytometry1:200-1:1,000 dilution
Streptavidin-Alkaline PhosphataseELISA, IHC, Western blotting1:1,000-1:10,000 dilution
Streptavidin-GoldElectron microscopyVariable based on application

These systems provide researchers flexibility depending on their experimental requirements and available detection equipment .

How should biotin:protein ratios be optimized for EDAR antibody conjugation?

Optimizing biotin:protein ratios is critical for maintaining antibody functionality while ensuring sufficient detection. Though manufacturer-specific data may not be directly provided on datasheets, typical optimal biotin:protein ratios range between 4:1 and 7:1 for most applications . Over-biotinylation can compromise antibody binding capacity by sterically hindering the antigen-binding site, while under-biotinylation may result in insufficient signal.

For EDAR antibody conjugation, researchers should perform a titration experiment comparing different conjugation ratios by:

  • Preparing multiple conjugates with varying molar ratios (2:1, 4:1, 6:1, 8:1)

  • Testing each conjugate in the intended application (ELISA, Western blot, etc.)

  • Analyzing signal-to-noise ratio and specific binding capacity

  • Selecting the ratio that provides optimal signal without compromising specificity

What computational approaches can validate the structural integrity of biotin-conjugated EDAR antibodies?

Advanced structural validation of biotin-conjugated EDAR antibodies can be achieved through computational modeling combined with experimental validation:

  • Generate homology models of the antibody variable fragment (Fv) using servers like PIGS or the AbPredict algorithm

  • Simulate biotin conjugation at various lysine residues using molecular dynamics

  • Assess potential steric hindrances that might affect antigen binding

  • Validate computational models through experimental techniques such as:

    • Saturation transfer difference NMR (STD-NMR) to define glycan-antigen contact surfaces

    • Site-directed mutagenesis to identify key residues in the antibody combining site

    • Surface plasmon resonance (SPR) to measure binding kinetics before and after conjugation

This combined approach enables researchers to predict and verify that biotin conjugation does not adversely affect the antibody's binding capabilities.

How can researchers distinguish between biotinylation effects and inherent antibody characteristics in experimental outcomes?

Distinguishing between effects caused by biotinylation and inherent antibody characteristics requires controlled comparative studies:

  • Control experiments design:

    • Use matched paired antibodies: non-conjugated EDAR antibody vs. biotin-conjugated EDAR antibody

    • Include isotype controls (both biotinylated and non-biotinylated)

    • Test at equivalent molar concentrations

  • Analytical approaches:

    • Conduct kinetic binding assays using surface plasmon resonance to quantify any changes in kon and koff rates

    • Perform competitive binding assays to assess relative affinities

    • Use surrogate reporter assays (as mentioned for EDAR12) to compare functional activities

  • Specific considerations for EDAR:

    • EDAR12 antibody can be used in surrogate reporter assays where Fas-sensitive cells are transfected with EDAR:Fas fusion constructs

    • Binding of EDAR12 induces apoptosis in these cells, confirming agonistic activity

    • Compare EC50 values between conjugated and unconjugated antibodies (EC50 for human EDAR:Fas is ~5 ng/ml; mouse EDAR:Fas is ~10 ng/ml)

What protocol modifications are necessary when using biotin-conjugated EDAR antibodies in ELISA systems?

When using biotin-conjugated EDAR antibodies in ELISA systems, several protocol modifications are necessary to achieve optimal results:

  • Dilution optimization:

    • Biotin-conjugated antibodies typically require dilutions between 1:20,000-1:400,000 for ELISA when using enzyme-conjugated streptavidin

    • Titrate to determine optimal concentration for your specific EDAR antibody

  • Detection system:

    • Use high-quality streptavidin-HRP or streptavidin-AP conjugates

    • For EDAR antibodies, streptavidin-AP often provides better sensitivity with Biotin-SP conjugated antibodies

  • Blocking considerations:

    • Include biotin blocking steps if using samples with endogenous biotin

    • BSA can be used at 0.25-1% concentration as a stabilizer

  • Signal amplification:

    • For detecting low-abundance EDAR expression, implement tyramide signal amplification using biotin-tyramide and HRP-streptavidin

    • This can increase sensitivity by 10-100 fold compared to conventional detection

  • Controls:

    • Include biotinylated isotype controls

    • Use positive controls with known EDAR expression levels

How can biotin-conjugated EDAR antibodies be effectively employed in multiplexed detection systems?

Employing biotin-conjugated EDAR antibodies in multiplexed detection systems requires strategic planning:

  • Spectral considerations for multiplexing:

    • When using fluorescent streptavidin conjugates, select fluorophores with minimal spectral overlap

    • Consider using quantum dots conjugated to streptavidin for narrow emission spectra and reduced overlap

  • Sequential detection strategy:

    • For multi-color immunofluorescence, apply EDAR biotin-conjugated antibody first, followed by streptavidin-fluorophore

    • Block remaining biotin binding sites before introducing another biotinylated antibody

    • Use careful washing between steps to prevent cross-reactivity

  • Antibody compatibility assessment:

    • Validate that EDAR antibody (EDAR12) maintains specificity in the presence of other antibodies

    • Test for cross-reactivity between detection systems

  • Bead-based multiplexing:

    • Conjugate streptavidin to spectrally distinct beads for flow cytometry-based multiplexing

    • Capture biotin-conjugated EDAR antibodies on specific bead populations

    • Analyze multiple analytes simultaneously by distinguishing bead populations

  • Signal normalization:

    • Include internal standards for each detection channel

    • Implement computational correction for spectral overlap when necessary

What are the optimal storage conditions to maintain the activity of biotin-conjugated EDAR antibodies?

Maintaining the activity of biotin-conjugated EDAR antibodies requires specific storage conditions:

  • Short-term storage (up to 6 weeks):

    • Store at 2-8°C as an undiluted liquid

    • Avoid repeated freeze-thaw cycles

    • Protect from prolonged light exposure, especially if conjugated with photosensitive molecules

  • Long-term storage:

    • For freeze-dried (lyophilized) products:

      • Store at 2-8°C

      • Rehydrate with the indicated volume of deionized water

      • Centrifuge if solution is not clear

    • For rehydrated antibodies:

      • Aliquot and freeze at -70°C or below

      • Alternative method: add equal volume of glycerol (ACS grade or better) for a final concentration of 50%, and store at -20°C

  • Formulation considerations:

    • Optimal buffer system: PBS pH 7.4 with 0.25% BSA and 0.01-0.02% sodium azide

    • For glycerol-containing formulations, 50% glycerol provides cryoprotection

  • Stability indicators:

    • Typical shelf life: One year from date of rehydration

    • Expiration may be extended if test results remain acceptable for the intended use

    • Monitor for precipitate formation or color changes which may indicate degradation

How can non-specific binding be minimized when using biotin-conjugated EDAR antibodies?

Minimizing non-specific binding with biotin-conjugated EDAR antibodies requires systematic optimization:

  • Sources of non-specific binding:

    • Endogenous biotin in samples (especially tissue samples)

    • Fc receptor interactions

    • Hydrophobic interactions between antibody and sample components

    • Over-biotinylation leading to aggregation

  • Blocking strategies:

    • Implement an endogenous biotin blocking step using streptavidin followed by free biotin

    • Use commercially available biotin-blocking kits designed for sensitive applications

    • Include 1-5% BSA or 5-10% serum from the same species as the secondary antibody

  • Buffer optimization:

    • Add 0.1-0.5% Tween-20 or Triton X-100 to reduce hydrophobic interactions

    • Include 150-300 mM NaCl to minimize ionic interactions

    • Consider adding 1-5 mM EDTA to chelate divalent cations that may contribute to non-specific binding

  • EDAR-specific considerations:

    • For EDAR12 antibody, pre-adsorption against potentially cross-reactive species may be necessary

    • Use the antibody in its Fab fragment form (generated by ficin digestion) to eliminate Fc-mediated interactions

  • Validation approaches:

    • Include isotype control antibodies (biotin-conjugated)

    • Perform staining on known negative tissues/cells

    • Conduct peptide competition assays to confirm specificity

What quality control measures should be implemented to validate biotin-conjugated EDAR antibody preparations?

Rigorous quality control for biotin-conjugated EDAR antibodies includes:

  • Spectrophotometric analysis:

    • Measure protein concentration at 280 nm

    • Determine the degree of biotinylation using HABA (4'-hydroxyazobenzene-2-carboxylic acid) assay

    • Calculate biotin:protein ratio (optimal range typically 4:1 to 7:1)

  • Functional validation:

    • For EDAR antibodies, validate using surrogate reporter assays:

      • Test ability to induce apoptosis in EDAR:Fas-expressing Jurkat cells

      • Confirm EC50 values remain within expected range (hEDAR:Fas ~5 ng/ml; mEDAR:Fas ~10 ng/ml)

    • Compare binding activity pre- and post-biotinylation using ELISA or SPR

  • Purity assessment:

    • SDS-PAGE under reducing and non-reducing conditions

    • Size exclusion chromatography to detect aggregation

    • EDAR12 antibody should be recognizable under both reducing (+DTT) and non-reducing conditions

  • Stability testing:

    • Accelerated stability studies at elevated temperatures

    • Freeze-thaw stability (minimum 3 cycles)

    • Functional tests after storage at recommended conditions

  • Documentation requirements:

    • Record biotin:protein ratio

    • Document lot-specific activity data

    • Include positive control data from reference standards

How can researchers troubleshoot weak signals when using biotin-conjugated EDAR antibodies in various applications?

When encountering weak signals with biotin-conjugated EDAR antibodies, use this systematic troubleshooting approach:

  • Signal amplification strategies:

    • Implement tyramide signal amplification using biotin-tyramide and HRP-streptavidin

    • Use poly-HRP or poly-AP streptavidin conjugates

    • Consider avidin-biotin complex (ABC) method for enhanced sensitivity

  • Antibody optimization:

    • Re-titrate antibody concentration (working dilutions typically range from 1:200-1:5,000 for immunohistochemistry)

    • Extend primary antibody incubation time (overnight at 4°C)

    • Optimize incubation temperature

  • Antigen retrieval enhancement:

    • Test multiple antigen retrieval methods (heat-induced vs. enzymatic)

    • Adjust pH of retrieval buffer (acidic vs. basic)

    • Extend retrieval time for difficult samples

  • Detection system optimization:

    • Ensure using fresh detection reagents

    • Try alternative substrate systems (e.g., switch from DAB to AEC for HRP)

    • For fluorescence applications, use brighter fluorophores or quantum dots

  • EDAR-specific considerations:

    • Check if target cells express sufficient EDAR

    • For EDAR12 antibody, confirm it maintains agonistic activity after biotinylation

    • Consider using indirect detection methods if direct methods yield insufficient signal

How can biotin-conjugated EDAR antibodies be utilized in antibody-drug conjugate (ADC) development?

Biotin-conjugated EDAR antibodies offer versatile approaches for ADC development:

  • Proof-of-concept studies:

    • Use streptavidin as a linker between biotinylated EDAR antibodies and biotinylated toxins

    • This enables rapid screening of antibody-toxin combinations without complex chemical conjugation

    • Compare various toxin payloads to identify optimal therapeutic combinations

  • Pre-clinical validation approach:

    • Create streptavidin-biotin linked conjugates of EDAR antibodies with cytotoxic agents

    • Test in vitro potency using EDAR-expressing cell lines

    • Assess in vivo efficacy using xenograft models

    • Compare to conventional chemical conjugation methods

  • Methodological considerations:

    • For the EDAR12 antibody, first validate internalization capacity using biotin-streptavidin-toxin complexes

    • Consider toxins like biotinylated saporin for initial screening

    • Measure cytotoxicity (EC50) and compare to reference standards

  • Advantages over direct chemical conjugation:

    • Faster development timeline

    • More cost-effective screening

    • Ability to test multiple payloads with the same antibody preparation

    • Reduced antibody consumption during optimization phase

What computational methods can predict the impact of biotinylation on EDAR antibody binding properties?

Advanced computational methods can predict biotinylation impacts on EDAR antibody binding:

  • Structural modeling workflow:

    • Generate antibody homology models using PIGS server or AbPredict algorithm

    • Identify surface-exposed lysine residues as potential biotinylation sites

    • Perform in silico biotinylation at these sites

    • Run molecular dynamics simulations to assess conformational changes

  • Binding interface analysis:

    • Map the EDAR epitope on the antibody structure

    • Calculate distance between potential biotinylation sites and the binding interface

    • Predict steric hindrance effects using computational docking

    • Simulate the impact of spacer length (as in Biotin-SP) on accessibility

  • Validation of computational predictions:

    • Use site-directed mutagenesis to convert selected lysines to arginines (preserving charge but preventing biotinylation)

    • Compare binding properties of mutants after biotinylation

    • Correlate computational predictions with experimental outcomes

  • EDAR-specific considerations:

    • For EDAR12 antibody, analyze its agonistic mechanism computationally

    • Predict how biotinylation might affect its ability to activate signaling

    • Model the spatial arrangement of biotin molecules relative to the EDAR binding interface

How can researchers develop multi-functional imaging probes using biotin-conjugated EDAR antibodies?

Development of multi-functional imaging probes with biotin-conjugated EDAR antibodies involves:

  • Multi-modal imaging design strategies:

    • Conjugate EDAR antibodies with biotin containing a click chemistry handle

    • Use streptavidin conjugated with multiple imaging modalities (e.g., fluorophore + MRI contrast agent)

    • Create "sandwich" constructs: biotin-EDAR antibody + streptavidin + biotinylated imaging agent

  • Advanced applications:

    • Near-infrared fluorescence imaging for in vivo applications

    • PET imaging using streptavidin conjugated to radioisotope chelators

    • Theranostic approaches combining imaging capabilities with therapeutic payloads

  • Optimization parameters:

    • Determine optimal biotin:antibody ratio to maintain binding while maximizing detection

    • Assess probe size impact on tissue penetration and pharmacokinetics

    • Evaluate potential immunogenicity of complex multi-component probes

  • EDAR-specific considerations:

    • Consider the normal tissue distribution of EDAR to predict background signal

    • Leverage the agonistic activity of EDAR12 antibody for functional imaging

    • Validate specificity in models with variable EDAR expression levels

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