ynaB Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (12-14 weeks)
Synonyms
ynaB antibody; BSU17500 antibody; Uncharacterized protein YnaB antibody
Target Names
ynaB
Uniprot No.

Q&A

What are broadly neutralizing antibodies (bnAbs) and why are they significant in HIV research?

Broadly neutralizing antibodies (bnAbs) are specialized antibodies that can neutralize multiple strains of a pathogen by targeting conserved epitopes. In HIV research, bnAbs are particularly significant because they can neutralize diverse HIV-1 viral isolates by binding to relatively invariant regions of the viral envelope glycoprotein.

Their significance stems from their exceptional neutralization breadth - some HIV bnAbs like 10E8 demonstrate approximately 92-98% neutralization breadth against global isolates . This high level of coverage makes them promising candidates for both passive immunization strategies and as templates for vaccine design. Additionally, bnAbs have demonstrated protection in passive nonhuman primate immunization studies, further highlighting their potential therapeutic value .

What are the primary epitope targets for HIV-1 broadly neutralizing antibodies?

HIV-1 broadly neutralizing antibodies target several conserved neutralization-sensitive epitopes on the HIV-1 envelope. These include:

  • The V2 apex

  • The V3 glycan site

  • The CD4-binding site

  • The fusion peptide (includes the site for cleavage of glycoprotein 160 into gp120 and gp41)

  • The membrane-proximal external region (MPER)

  • The "silent face" of gp120 (a more recently discovered site)

Each of these sites represents a vulnerable region on the otherwise highly variable viral envelope, providing strategic targets for antibody binding and neutralization .

How are antibody-secreting cells (ASCs) identified and isolated for research purposes?

Antibody-secreting cells (ASCs) can be identified and isolated through several methodologies:

In the NanOBlast approach described in the search results, selectively enriched, antigen-experienced murine ASCs are harvested from spleen and lymph nodes. These cells are then individually isolated using a novel, integrated platform that employs nanofluidic technology and structured light to manipulate living cells within microfluidic chip nanopens .

This technology allows for direct screening of secreted monoclonal antibodies from individually isolated single ASCs. The cells can be assessed in real-time using high-content screening methods, allowing researchers to identify cells producing antibodies with desired binding characteristics .

After identification, single-cell PCR-based molecular recovery techniques can be applied to the selected ASCs, followed by recombinant IgG expression and characterization through methods like ELISA .

How can researchers design effective germline-targeting immunogens for inducing broadly neutralizing antibody precursors?

Designing effective germline-targeting immunogens involves several strategic approaches:

  • Epitope scaffolding: Create protein scaffolds that present the epitope in a structurally precise manner. For example, researchers developed germline-targeting epitope scaffolds with affinity for 10E8-class precursors that exhibited epitope structural mimicry .

  • Nanoparticle display: Engineer nanoparticles for multivalent display of the epitope, which enhances B cell activation. Protein nanoparticles have been shown to induce bnAb-precursor responses in mouse models and rhesus macaques .

  • Structure-based design: Use structural data from bnAb-antigen complexes to guide immunogen design. For example, the BG505 SOSIP.v4.1-GT1 trimer was designed to engage germline precursors of bnAbs targeting either the trimer apex or the CD4-binding site .

  • Sequential immunization strategy: Develop a series of immunogens that first prime rare bnAb-precursor B cells with specific genetic properties, then guide B cell maturation with sequential boosting using immunogens of increasing similarity to the native glycoprotein .

  • mRNA-encoded immunogens: Use mRNA technology to encode nanoparticle immunogens, which has successfully triggered similar responses in mice as protein-based approaches .

These strategies have demonstrated efficacy in animal models, as evidenced by the induction of bnAb-precursor responses in stringent mouse models and rhesus macaques .

What are the key considerations when developing neutralizing antibody (NAb) assays for biotherapeutics?

Developing effective neutralizing antibody (NAb) assays for biotherapeutics requires addressing several critical considerations:

  • Drug and target tolerance: NAb assays often require extensive pre-treatment steps to achieve adequate drug and target tolerance, which can limit assay sensitivity compared to standard bridging-format assays used to detect binding anti-drug antibodies (ADA) .

  • Sensitivity limitations: The sensitivity gap between ADA and NAb assays (sometimes 20-40 fold) can complicate data interpretation when positive ADA results are followed by negative NAb findings, as this could either indicate non-neutralizing antibodies or false-negative NAb results due to methodology differences .

  • Epitope specificity: Developing assays that specifically target the complementarity-determining regions (CDRs) involved in drug-target interactions can help distinguish neutralizing from non-neutralizing antibodies .

  • Validation requirements: NAb assays must demonstrate direct interference with a biologic function, making their development and validation particularly challenging and resource-intensive .

  • Novel approaches: Consider innovative methods like the NAb Epitope Characterization Assay (NECA), which uses a "null variant" of the therapeutic drug with mutated CDRs that render it non-functional for target binding but otherwise identical to the drug compound. This approach allows for specific detection of antibodies with neutralizing potential .

Implementing these considerations results in more accurate assessment of immunogenicity risks and enables unambiguous comparison of binding ADA and antibodies with neutralizing potential in clinical samples .

How can nanofluidic technology improve the discovery of monoclonal antibodies?

Nanofluidic technology offers several significant advantages for monoclonal antibody discovery:

This approach accelerates the development of monoclonal antibody tool reagents, which is essential for the successful advancement of therapeutic antibodies in today's competitive drug development marketplace .

What strategies can overcome the challenges in inducing MPER-specific broadly neutralizing antibodies?

Inducing MPER-specific broadly neutralizing antibodies faces several unique challenges, including the recessed epitope location, the need for antibodies with long HCDR3s bearing specific sequence motifs, and potential immune tolerance issues. Recent research has identified several strategies to overcome these barriers:

  • Combined germline targeting and epitope scaffolding: Researchers have successfully combined germline targeting with epitope scaffolding and nanoparticle design to develop immunogens that consistently induced 10E8-class HIV bnAb precursors with bnAb-associated features, including long HCDR3s with specific binding motifs .

  • Engineered immunogens on nanoparticles: Scientists have engineered immunogens on nanoparticles that mimic the appearance of specific parts of gp41, which successfully elicited responses from 10E8 B cell precursors in rhesus macaque monkeys and mice .

  • mRNA-encoded nanoparticles: Similar immune responses have been achieved using mRNA-encoded nanoparticles in mice, offering an alternative delivery approach .

  • Multi-bnAb precursor priming: Some epitope scaffolds have demonstrated the capacity to induce precursors for multiple classes of bnAbs simultaneously without obvious interference from tolerance mechanisms, consistent with the low poly- or autoreactivity exhibited by certain bnAb lineages like 10E8 and LN01 .

  • Sequential immunization strategies: Multi-step vaccine regimens that begin with germline-targeting priming immunogens followed by boosters that gradually increase similarity to native antigens have shown promise in guiding B cell maturation toward bnAb development .

These approaches have shown encouraging results in animal models and represent promising directions for overcoming the historical challenges of inducing MPER-specific broadly neutralizing antibodies .

How does the half-life of broadly neutralizing antibodies affect their potential use in HIV prevention?

The half-life of broadly neutralizing antibodies significantly impacts their utility in HIV prevention strategies:

The extended half-life of newer generation bnAbs (up to 71 days) makes passive immunization a more feasible approach for HIV prevention, particularly in settings where adherence to daily preventive medications may be challenging .

What are the methodological approaches for characterizing neutralizing antibodies against variants of concern?

Characterizing neutralizing antibodies against variants of concern requires sophisticated methodological approaches:

These methodological approaches allow researchers to rigorously characterize neutralizing antibodies against variants of concern, providing crucial information for vaccine development and evaluation .

How can computational modeling assist in designing optimal antibody combination therapies?

Computational modeling offers powerful approaches for designing optimal antibody combination therapies:

  • Machine learning techniques: Advanced machine learning algorithms trained on experimental data from neutralization assays against pseudoviruses can predict the effectiveness of various antibody combinations. These models can help identify synergistic antibody pairs or combinations that provide broader coverage against viral variants .

  • Therapeutic optimization: Computational approaches can determine the optimal number of antibodies needed in a combination therapy. While it has been established that combinations with more than two bnAbs are generally more effective in suppressing early viral rebound, computational models can help identify the specific combinations that offer maximum efficacy with minimum components .

  • Parameter sensitivity analysis: These models can identify which parameters (such as antibody concentration, binding affinity, or epitope targeting) most strongly influence therapeutic outcomes, helping researchers focus on optimizing the most critical aspects of the therapy .

  • Resistance prediction: Computational models can predict the likelihood of resistance emergence against specific antibody combinations, allowing researchers to design therapies that minimize the risk of escape mutations .

  • Clinical trial design guidance: Insights from computational modeling can inform the design of clinical trials, helping researchers test the most promising antibody combinations and dosing regimens .

This integration of computational approaches with experimental data accelerates the development of effective combination therapies while reducing the need for extensive in vivo testing of all possible combinations .

What methods can be used to distinguish between neutralizing and non-neutralizing antibodies in clinical samples?

Several sophisticated methods can distinguish between neutralizing and non-neutralizing antibodies in clinical samples:

Implementation of these methods allows for unambiguous comparison of binding anti-drug antibodies and antibodies with neutralizing potential in clinical samples, enabling more accurate assessment of immunogenicity and therapeutic efficacy .

How can researchers interpret conflicting antibody response data between different experimental platforms?

Interpreting conflicting antibody response data between different experimental platforms requires a systematic approach:

  • Methodology standardization: Recognize that different assay formats (such as binding versus functional assays) may have inherently different sensitivities. For example, studies have observed 20-40 fold differences in sensitivity between anti-drug antibody (ADA) assays and neutralizing antibody (NAb) assays .

  • Platform-specific characteristics: Consider the specific limitations of each platform. For instance, assays requiring extensive pre-treatment steps to achieve drug tolerance may have reduced sensitivity compared to simpler formats .

  • Integrated data analysis: Rather than relying on a single platform, use complementary assays to build a more comprehensive understanding. For example, the NECA assay allows unambiguous comparison of the levels of binding ADA and antibodies with neutralizing potential (ANP) in study samples, enabling more accurate interpretation of conflicting results .

  • Reference standards: Include well-characterized reference antibodies across all platforms to calibrate results and provide benchmarks for comparison .

  • Statistical approaches: Apply statistical methods that account for platform-specific variability when integrating data from multiple sources. This might include normalization procedures or multivariate analysis techniques that can identify patterns across heterogeneous datasets .

How might mRNA technology advance the development of antibody-inducing vaccines?

mRNA technology offers several promising advances for antibody-inducing vaccine development:

  • Rapid immunogen iteration: mRNA technology allows for quick design changes and production of vaccine candidates, enabling rapid testing of different immunogen designs. This advantage has been demonstrated with mRNA-encoded nanoparticles that successfully triggered bnAb-precursor responses in mice, similar to protein-based approaches .

  • Nanoparticle delivery: mRNA can be used to encode self-assembling nanoparticle immunogens that display antigens in multivalent formats, enhancing B cell activation. Research has shown that mRNA-encoded nanoparticles can induce responses from rare, HCDR3-dominant bnAb precursors .

  • In vivo production: Unlike protein vaccines that must be manufactured and purified in vitro, mRNA vaccines enable the body to produce the immunogen in vivo, potentially preserving delicate conformational epitopes that might be altered during purification processes .

  • Sequential immunization strategies: mRNA technology facilitates the implementation of germline-targeting vaccine strategies that require sequential administration of progressively evolving immunogens to guide B cell maturation toward broadly neutralizing antibody development .

  • Combination with other modalities: mRNA can be used in heterologous prime-boost strategies, where priming might be done with mRNA-encoded immunogens followed by boosting with protein-based immunogens or vice versa, potentially leveraging the advantages of both platforms .

These advantages position mRNA technology as a powerful tool for next-generation vaccine development aimed at inducing broadly neutralizing antibodies against HIV and other challenging pathogens .

What role might agonistic antibodies targeting co-stimulatory receptors play in enhancing therapeutic antibody efficacy?

Agonistic antibodies targeting co-stimulatory receptors represent a promising approach to enhance therapeutic antibody efficacy, particularly in cancer immunotherapy:

  • Complementary immune activation: While many current therapeutic antibodies target inhibitory receptors (immune checkpoint inhibitors or ICIs), co-stimulatory receptors represent a functionally distinct approach. Targeting these receptors, such as 4-1BB (CD137, TNFRSF9), can potentially complement and synergize with ICI therapies .

  • Addressing ICI resistance: Many patients do not respond to ICI-based therapies or develop resistance and relapse. Agonistic antibodies targeting co-stimulatory receptors offer a novel therapeutic mechanism to increase objective response rates and address resistance to immune checkpoint inhibitors .

  • Balanced efficacy and safety profile: Early clinical experiences with 4-1BB agonist antibodies like urelumab and utomilumab have revealed important lessons about balancing efficacy and safety. Urelumab showed clinical activity but with severe hepatotoxicity, while utomilumab displayed limited efficacy with a better safety profile. These experiences have guided the development of next-generation agonistic antibodies .

  • Enhanced T cell responses: Co-stimulatory immunoreceptors are a key pillar regulating T cell immune responses. Agonistic antibodies targeting these receptors can potentially enhance the anti-tumor T cell responses initiated by therapeutic antibodies targeting tumor antigens .

  • Multifaceted development strategies: Current developments of co-stimulatory receptor agonist antibodies, such as those targeting 4-1BB, follow various strategies but share the overarching goal of developing antibodies that maximize efficacy while minimizing toxicity .

This approach represents a promising direction for enhancing the efficacy of therapeutic antibodies, particularly in addressing cases of resistance to current therapies .

How can epitope scaffolding advance the development of HIV vaccines that induce broadly neutralizing antibodies?

Epitope scaffolding represents a sophisticated approach to HIV vaccine development with several key advantages:

  • Precise epitope presentation: Epitope scaffolds can be designed to present conserved neutralization epitopes in their exact structural conformation, independent of the complex and variable HIV envelope context. This precision enables targeting of specific bnAb precursors with defined genetic and structural properties .

  • Overcoming accessibility barriers: Many bnAb epitopes, like the membrane-proximal external region (MPER), are recessed or otherwise poorly accessible on native envelope trimers. Epitope scaffolds can present these epitopes in a more exposed manner, increasing their visibility to B cell receptors .

  • Multi-bnAb induction: Research has demonstrated that epitope scaffolds can induce precursors for multiple classes of bnAbs simultaneously. For example, 10E8-GT epitope scaffolds also induced precursors for LN01, a genetically distinct class of bnAb, demonstrating capacity for multi-bnAb precursor priming .

  • Guiding affinity maturation: Epitope scaffolds can be designed to select for productive directional affinity maturation, such that a subset of induced bnAb precursors develop affinity for more native-like antigens, creating a path toward broadly neutralizing activity .

  • Circumventing tolerance barriers: Some epitope scaffolds have successfully induced bnAb precursors without triggering immune tolerance mechanisms that have historically blocked development of certain MPER bnAbs like 2F5 and 4E10. This property appears to be consistent with the low poly- or autoreactivity exhibited by some bnAb lineages like 10E8 and LN01 .

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