yadV Antibody

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Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
yadV antibody; ecpD antibody; b0140 antibody; JW0136 antibody; Probable fimbrial chaperone YadV antibody
Target Names
yadV
Uniprot No.

Target Background

Function
The yadV antibody targets a component of the yadCKLM-htrE-yadVN fimbrial operon. This operon likely contributes to the adhesion of the target organism to various surfaces within its specific environmental niche.
Database Links
Protein Families
Periplasmic pilus chaperone family
Subcellular Location
Periplasm.

Q&A

What are single domain antibodies (dAbs) and how do they differ from conventional antibodies?

Single domain antibodies (dAbs) are specialized antibody fragments that consist of a single monomeric variable antibody domain. Unlike conventional antibodies that require both heavy and light chains, dAbs function independently as a single domain. They have emerged as valuable therapeutic biologics for challenging antigens such as lipopolysaccharide (LPS). Their small size (approximately 12-15 kDa) allows them to access epitopes that might be inaccessible to larger conventional antibodies. In research contexts, dAbs have demonstrated remarkable specificity and affinity for their targets, making them particularly valuable for neutralizing bacterial endotoxins like LPS .

How are LPS-neutralizing antibodies characterized and validated?

The characterization of LPS-neutralizing antibodies involves multiple experimental approaches. In the case of dAb clone 26, sequence validation was performed using mass spectrometry following in-gel trypsin digestion and MALDI-TOF analysis. The derived peptides were then subjected to sequence identification using Mascot protein identification. This process achieved a sequence coverage of 35%, confirming the antibody's structure. Beyond sequence validation, functional characterization involves assessing the antibody's ability to neutralize LPS in vitro and potentially in vivo models of endotoxemia. Co-crystallization studies with target antigens (such as LPS extracted from E. coli) provide structural insights into binding mechanisms, utilizing techniques like hanging drop vapor diffusion with various precipitants including ammonium sulfate and different molecular weight PEGs .

What factors influence the gastrointestinal stability of monoclonal antibodies?

The gastrointestinal stability of monoclonal antibodies is influenced by several key factors. Research has shown that exposure to different GI fluids results in varying degrees of degradation. Anti-TNF α IgG1 monoclonal antibodies have demonstrated high stability in colonic fluid compared to rapid degradation observed in human gastric and small intestinal fluids. This differential stability is attributed to:

  • pH variations across the GI tract

  • Presence and concentration of proteolytic enzymes

  • Bile salt composition

  • Residence time in different GI segments

  • The structural features of the antibody itself, particularly the Fc region stability

These findings suggest that targeted delivery to the colon could be a viable approach for localized antibody therapy, particularly for conditions like inflammatory bowel disease (IBD) .

How does variable region (Fv) charge affect antibody clearance kinetics in vivo?

The variable region (Fv) charge of antibodies has been identified as a critical determinant of their nonspecific clearance kinetics. Empirical models have established that antibodies with Fv charge greater than +6.2 exhibit faster than acceptable nonspecific clearance (>8 ml/day/kg), while those with Fv charge within the 0–6.2 range demonstrate acceptable nonspecific clearance (<8 ml/day/kg). This relationship has been validated through systematic studies with designed variants of anti-lymphotoxin α (anti-LTα) and humAb4D5-8 (anti-HER2) antibodies.

The clearance data from multiple species shows consistent trends:

AntibodyCalculated Fv chargeCL in Rat (ml/day/kg)CL in Mouse (ml/day/kg)
Anti-LTα parental+8.19.94 ± 1.359.19
Anti-LTα +3+11.138.1 ± 4.0834.5
Anti-LTα -4+4.12.87 ± 0.603.57
HumAb4D5-8 parental+6.17.33 ± 0.7635.61
HumAb4D5-8 +5+11.119.1 ± 1.6849.7
HumAb4D5-8 -4+2.23.41 ± 0.4064.79

The mechanism behind this phenomenon appears to involve increased nonspecific binding through greater electrostatic interactions with negatively charged extracellular matrices. These findings emphasize the importance of considering Fv charge during antibody engineering to optimize pharmacokinetic properties .

What strategies can be employed for rational optimization of monoclonal antibodies to improve both solution properties and biological activity?

Rational optimization of monoclonal antibodies requires integrated computational and experimental approaches. A successful case study involved MAB1, an antibody whose development was halted due to manufacturability challenges. Seven computationally designed variants were created, featuring strategic single-point mutations (V44K, E59S, E59T, E59Y) and double mutations (V44KE59S, V44KE59T, V44KE59Y) in the light chain.

The optimization process yielded remarkable results:

  • 71% of the variants showed improved biophysical attributes in multiple experimental tests

  • Biological activity increased up to ~180% in some variants

  • The V44KE59S variant showed ~150% improvement in concentrate-ability and ~160% in apparent solubility

  • The diffusion interaction parameter (kD) for V44KE59S reduced to 28% of the original value

  • Viscosity at ~100 mg/ml decreased to less than half for some variants

  • Degradation rates were significantly reduced in long-term stability studies

These improvements were achieved through careful consideration of protein surface properties, charge distribution, and hydrophobicity. The study demonstrated that simultaneous optimization of developability and biological activity is feasible through structure-based biologic drug design approaches .

How do FcRn receptors influence the tissue penetration and pharmacokinetics of monoclonal antibodies?

FcRn receptors play a crucial role in antibody tissue penetration and pharmacokinetics. Research on anti-TNF α IgG1 monoclonal antibodies has revealed that colonic FcRn receptors significantly contribute to cellular transcytosis of these antibodies. The antibodies and their respective Fab fragments demonstrated deep penetration into colonic tissue, with drug signals detected in both mucosal and submucosal regions.

The interaction between antibodies and FcRn is pH-dependent, with stronger binding occurring at acidic pH (~5.5-6.0) and weaker binding at physiological pH (~7.4). This pH-dependent binding facilitates the recycling of antibodies and extends their half-life in circulation. Experimental data shows that human FcRn binding affinity (measured at pH 5.8) ranges from 1.3-2.2 μM for various antibody variants.

The influence of FcRn on pharmacokinetics is evident from half-life (t1/2 β) values across different antibody variants:

AntibodyHuman FcRn binding affinity (μM)t1/2 β in Rat (day)t1/2 β in Mouse (day)
Anti-LTα parental2.09.09 ± 0.48012.8
Anti-LTα +32.25.08 ± 0.6817.90
Anti-LTα -41.39.10 ± 3.0313.5
HumAb4D5-8 parental1.510.9 ± 2.3215.8
HumAb4D5-8 +51.58.22 ± 1.047.15
HumAb4D5-8 -41.414.0 ± 3.3918.1

Understanding these interactions is essential for developing antibody-based therapeutics with optimal tissue penetration and circulation half-life .

What analytical methods are most effective for validating antibody sequences?

For comprehensive antibody sequence validation, a multi-analytical approach is recommended. Mass spectrometry following in-gel trypsin digestion represents a gold standard approach. The process involves:

  • Isolation of the antibody through SDS-PAGE or other separation techniques

  • In-gel trypsin digestion to generate peptide fragments

  • MALDI-TOF analysis of the derived peptides

  • Sequence identification using database search tools like Mascot

This methodology has successfully validated antibody sequences with coverage of up to 35%, as demonstrated with dAb clone 26. While this coverage may seem relatively low, it is often sufficient for confirming key structural elements and binding regions of the antibody.

Alternative and complementary approaches include:

  • N-terminal sequencing via Edman degradation

  • Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS)

  • Next-generation sequencing of the antibody-encoding genes

  • Circular dichroism spectroscopy for secondary structure analysis

The integration of multiple analytical methods provides more robust validation of antibody sequences, particularly for novel constructs like single domain antibodies .

How can researchers optimize co-crystallization conditions for antibody-antigen complexes?

Optimizing co-crystallization conditions for antibody-antigen complexes involves a systematic screening approach. For LPS-antibody complexes, a hanging drop vapor diffusion setup with varied parameters has proven effective. The key variables to consider include:

  • pH range (typically 5.0-8.5)

  • Precipitant type and concentration:

    • Ammonium sulfate (0.8-2.0 M)

    • PEG variants of different molecular weights:

      • PEG3350 (15-30% w/v)

      • PEG6000 (10-25% w/v)

      • PEG8000 (8-20% w/v)

  • Protein:antigen ratio (typically 1:1 to 1:3)

  • Buffer composition and additives

  • Temperature (commonly 4°C and 20°C)

The process typically begins with affinity purification of the antibody, followed by complex formation with the antigen at optimal ratios. Grid screening is then performed to identify promising crystallization conditions, which are subsequently refined through fine-tuning of the identified parameters.

For challenging complexes like dAb-LPS, additional strategies may include:

  • Surface entropy reduction through mutagenesis

  • Addition of small molecule additives that promote crystallization

  • Utilization of antibody fragments rather than full-length antibodies

  • Incorporation of chaperone proteins or crystallization enhancers

The iterative optimization of these parameters is essential for successful co-crystallization and subsequent structural determination through X-ray crystallography .

What experimental models are most appropriate for evaluating antibody penetration across intestinal barriers?

Evaluating antibody penetration across intestinal barriers requires carefully selected experimental models that balance physiological relevance with experimental practicality. Based on current research, a multi-model approach is recommended:

  • Ex vivo tissue models:

    • Human colonic tissue samples maintained in oxygenated buffer

    • Rodent intestinal segments in Ussing chambers for permeability studies

  • In vivo models:

    • Normal rodent models for baseline penetration assessment

    • Disease-specific models such as DSS-induced colitis in mice to mimic IBD conditions

    • Humanized FcRn mouse models to better reflect human antibody-receptor interactions

  • In vitro models:

    • Polarized intestinal epithelial cell monolayers (Caco-2, HT-29, T84)

    • Co-culture systems incorporating epithelial and immune cells

    • Organoid cultures derived from intestinal stem cells

Each model offers distinct advantages. The rodent models enable visualization of antibody penetration into mucosal and submucosal regions, while also allowing assessment of FcRn-mediated transcytosis. The DSS colitis model specifically provides insights into penetration dynamics in inflamed intestinal tissue, which is particularly relevant for IBD therapeutics.

For comprehensive evaluation, researchers should combine multiple models and utilize advanced imaging techniques such as confocal microscopy and immunofluorescence to track antibody distribution within tissues .

How can antibody engineering approaches enhance therapeutic efficacy for inflammatory bowel disease?

Antibody engineering offers multiple pathways to enhance therapeutic efficacy for inflammatory bowel disease (IBD). Strategic modifications can address the main challenges of current IBD biologic therapies:

  • Targeted delivery optimization:

    • Engineering antibodies with enhanced colonic stability

    • Developing oral formulations that protect antibodies through the upper GI tract

    • Creating pH-responsive release mechanisms to deliver intact antibodies to the colon

  • Tissue penetration enhancement:

    • Modifying the Fv charge to optimize tissue penetration while maintaining acceptable clearance rates

    • Engineering smaller antibody fragments (Fab, scFv) for deeper tissue penetration

    • Incorporating tissue-targeting moieties to increase local concentration at inflammatory sites

  • Binding affinity and specificity refinement:

    • Optimizing CDR regions for enhanced binding to inflammatory targets like TNF-α

    • Creating bispecific antibodies that simultaneously target multiple inflammatory pathways

    • Engineering pH-dependent binding to maximize target engagement in the inflammatory environment

Research has demonstrated that anti-TNF α IgG1 monoclonal antibodies show remarkable stability in colonic fluid compared to upper GI fluids, suggesting the feasibility of local colonic delivery. Furthermore, both full IgG antibodies and Fab fragments have demonstrated deep penetration into colonic tissue, with antibody signals detected in mucosal and submucosal regions. The involvement of colonic FcRn receptors in cellular transcytosis provides additional mechanisms to enhance therapeutic delivery .

What are the key considerations for developing single domain antibodies as therapeutics for endotoxemia?

Developing single domain antibodies (dAbs) as therapeutics for endotoxemia requires addressing several critical considerations:

  • Broad-spectrum LPS neutralization capability:

    • The ability to neutralize LPS from multiple bacterial species and serotypes

    • Binding to conserved lipid A domain rather than variable O-antigen regions

    • Demonstrated efficacy against clinically relevant gram-negative bacteria

  • Structural and sequence optimization:

    • Sequence validation through mass spectrometry and other analytical methods

    • Co-crystallization studies with LPS to understand binding mechanisms

    • Strategic mutations to enhance stability without compromising binding affinity

  • Pharmacokinetic and pharmacodynamic profile:

    • Optimizing variable region charge for appropriate clearance rates

    • Enhancing serum half-life through engineering approaches (e.g., PEGylation, Fc fusion)

    • Maintaining low immunogenicity risk, particularly important for repeated administration

  • Manufacturing and formulation considerations:

    • Expression system selection (mammalian, bacterial, or other)

    • Purification strategies to maintain LPS-binding capacity

    • Formulation development for stability and appropriate administration route

The success of dAb clone 26 in neutralizing LPS demonstrates the potential of single domain antibodies in addressing endotoxemia. Its broad specificity against LPS makes it particularly valuable as a therapeutic candidate. The sequence validation and structural characterization efforts provide a foundation for further development and optimization .

How do charge modifications in the variable region impact antibody bioavailability following subcutaneous administration?

AntibodyFv chargeBioavailability (%F) in RatBioavailability (%F) in MouseCmax (s.c.) μg/ml in RatCmax (s.c.) μg/ml in Mouse
Anti-LTα parental+8.176.2 ± 11.051.255.6 ± 12.728.1
Anti-LTα +3+11.143.9 ± 6.2468.614.9 ± 0.98814.2
Anti-LTα -4+4.167.5 ± 17.579.2125 ± 6.6699.0
HumAb4D5-8 parental+6.1109 ± 17.175.183.3 ± 8.7563.4
HumAb4D5-8 +5+11.133.6 ± 4.5045.321.2 ± 2.4356.7
HumAb4D5-8 -4+2.297.1 ± 16.589.5116 ± 16.897.9

Several key patterns emerge from this data:

  • Antibodies with higher positive Fv charge (+11.1) generally show lower bioavailability compared to their less positively charged counterparts

  • The relationship between Fv charge and bioavailability shows species-specific variations

  • Maximum concentration (Cmax) following subcutaneous administration is generally higher for antibodies with lower positive Fv charge

  • Time to maximum concentration (tmax) appears less affected by Fv charge modifications

The mechanism behind these observations likely involves electrostatic interactions at the injection site and during lymphatic absorption. Highly positively charged antibodies may interact more strongly with negatively charged extracellular matrix components, resulting in slower release from the injection site and potentially increased pre-systemic degradation.

These findings have important implications for therapeutic antibody development, suggesting that reducing positive charge in the variable region may enhance bioavailability following subcutaneous administration, potentially allowing for lower doses and improved patient convenience .

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