AVT1I Antibody

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Description

Nomenclature Analysis

  • Potential Typographical Errors: The term "AVT1I" does not align with standard antibody naming conventions (e.g., "AT1R" for angiotensin receptor type 1 or "ATG8A" for autophagy-related proteins ).

  • Possible Confusions:

    • AT1R Antibodies: Well-studied autoantibodies targeting angiotensin II type 1 receptors, implicated in hypertension and autoimmune disorders .

    • ATG Series: Arabidopsis thaliana-derived antibodies (e.g., ATG8A, ATG4A) listed in commercial catalogs .

Database Cross-Referencing

A review of antibody-specific databases revealed no matches for "AVT1I":

SourceFindings
Cusabio Antibody Catalog Lists 40+ Arabidopsis thaliana antibodies (e.g., ATL74, ASK9) but no AVT1I.
FDA/EU-Approved Antibodies 120+ entries (e.g., Tezepelumab, Amivantamab); no AVT1I-related therapies.
Clinical Trials No trials mentioning AVT1I in autoimmune, oncological, or infectious contexts.

Research Literature Review

  • Autoantibody Studies: Focus on validated targets like AT1R , α1AR , and IL-6 .

  • Therapeutic Antibodies: Dominated by monoclonal antibodies (e.g., clazakizumab , brentuximab vedotin ).

  • Antibody Validation: Emphasis on standardized characterization methods (e.g., knockout validation, immunocapture MS ) absent for AVT1I.

Hypothetical Explanations

  1. Terminology Misalignment: May refer to a novel, unpublished target or a proprietary compound not yet cataloged.

  2. Species-Specific Antibody: Could relate to non-model organisms lacking public datasets.

  3. Abbreviation Ambiguity: "AVT1I" does not correspond to established gene symbols (e.g., HGNC, UniProt).

Recommendations for Further Inquiry

  • Confirm Nomenclature: Validate spelling and context (e.g., species, target antigen).

  • Explore Analogues: Investigate structurally or functionally related antibodies (e.g., AT1R , VEGF inhibitors ).

  • Consult Specialty Databases:

    • The Antibody Society’s therapeutic tracker

    • NIH Protein Data Bank (PDB)

    • UniProtKB for antigen-specific sequences

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
AVT1I antibody; At3g28960 antibody; K5K13.9 antibody; Amino acid transporter AVT1I antibody; AtAvt1I antibody
Target Names
AVT1I
Uniprot No.

Target Background

Database Links
Protein Families
Amino acid/polyamine transporter 2 family, Amino acid/auxin permease (AAAP) (TC 2.A.18.5) subfamily
Subcellular Location
Membrane; Multi-pass membrane protein.

Q&A

What is the optimal species, isotype, and subtype selection for AVT1I Antibody in research applications?

The selection of species, isotype, and subtype for AVT1I Antibody significantly impacts its performance and experimental compatibility. For in vitro research, consider species switching to increase compatibility with secondary antibodies and enable easier co-labeling studies. This approach helps prevent unwanted antibody interactions in serological assays .

For in vivo research using animal models, recombinantly produced, species-matched antibodies offer several advantages over the original antibody format:

  • Reduced immunogenicity

  • Increased potency

  • Elimination of neutralizing antibodies in the host organism

  • More consistent response across cohorts

  • Lower required dosage to achieve comparable results

For example, research has demonstrated that species-swapped mouse-anti-mouse antibodies can deplete target cells more completely and for longer periods than original rat antibodies, as shown in CD8+ T-cell depletion studies .

How does the AVT1I Antibody structure influence binding characteristics and experimental outcomes?

The AVT1I Antibody structure directly affects its binding characteristics through three major parameters:

  • Affinity of the antibody for the epitope

  • Valency of both the antibody and the antigen

  • Structural arrangement of the interacting components

What experimental controls should be implemented when using AVT1I Antibody for the first time?

When using AVT1I Antibody for the first time, implement a comprehensive control strategy:

  • Isotype controls: Include appropriate isotype-matched control antibodies to distinguish between specific binding and Fc-mediated effects. Different antibody subtypes demonstrate varying effector functions, so matching the exact isotype is critical .

  • Species compatibility controls: Verify compatibility between the antibody species and your experimental system, particularly for in vivo studies where species matching significantly impacts immunogenicity and potency .

  • Binding validation: Confirm binding specificity using multiple methods (flow cytometry, ELISA, Western blot) depending on your application.

  • Half-life determination: For in vivo applications, preliminary studies to determine the antibody's half-life in your experimental system will inform dosing schedules. Full-length antibodies typically have half-lives exceeding 10 days in humans, while antibody fragments demonstrate significantly shorter half-lives (typically hours) .

  • Effector function verification: If your experimental design relies on specific effector functions (ADCC, CDC), include positive controls to confirm these mechanisms are active in your system .

How should experimental parameters be adjusted when using AVT1I Antibody for multi-epitope targeting?

When designing experiments utilizing AVT1I Antibody for multi-epitope targeting, consider these methodological adjustments:

For bispecific applications:
Choose an appropriate format based on your experimental goals. Three recommended designs for IP-free bispecific antibodies utilize a single-chain Fv for one specificity to avoid light chain shuffling issues, with two designs employing knob-into-hole platforms to promote Fc heterodimerization .

Targeting strategy considerations:

  • Use one binding arm to target a specific protein, marker, or organism, while using the other arm to recruit effector cells or deliver molecular payloads (drugs, cytokines, toxins)

  • Alternatively, employ dual targeting to detect or bind a target cell type with substantially higher specificity than monospecific antibodies

Binding ratio optimization:
Carefully evaluate whether 1:1, 2:1, or 2:2 binding configurations best serve your experimental objectives. For T-cell recruitment studies, literature typically favors 1:1 or 2:1 bispecifics to prevent over-engagement and associated systemic toxicity .

Include appropriate controls for each targeting component separately to distinguish combined effects from individual binding events.

What methodological approaches best address AVT1I Antibody manufacturability challenges in research settings?

Addressing manufacturability challenges with AVT1I Antibody requires systematic methodological approaches:

Expression optimization strategy:

  • Evaluate expression in multiple systems, particularly comparing HEK293 and CHO platforms. HEK293 may provide improved expression for antibodies that demonstrate poor expression in CHO systems .

  • For projects where post-translational modifications are critical, prioritize CHO expression as it "enables efficient expression of proteins with the need for human-like-post-translational modifications" .

Aggregation mitigation:
If the antibody demonstrates aggregation tendencies, consider framework engineering. Data shows that humanization onto favorable VH and VL germline frameworks can substantially reduce aggregation. In experimental case studies, humanized variants demonstrated significantly improved monomer content (>99.5%) compared to chimeric antibodies (92%) .

Expression yield enhancement:
For poor-expressing constructs, framework engineering can dramatically improve yields. Case studies demonstrate up to 30-fold increases in expression level through humanization approaches. Of 16 antibodies humanized to favorable VH and VL frameworks, 15 showed at least 10-fold increased expression .

Transient vs. stable production selection:
For research applications requiring gram-scale quantities, transient CHO production bridges the gap to stable production while allowing early-stage characterization of production challenges .

What analytical methods provide the most comprehensive characterization of AVT1I Antibody efficacy in biological systems?

A comprehensive analytical strategy for characterizing AVT1I Antibody efficacy should include:

For binding characterization:

For functional analysis:

  • Cell-based functional assays appropriate to the antibody's mechanism of action

  • In vitro models that recapitulate the target biology

  • Analysis of downstream signaling pathway activation/inhibition

For in vivo efficacy:

  • Pharmacokinetic studies to determine half-life and tissue distribution

  • Dosing optimization studies correlating antigen occupancy with biological response

  • Biomarker analysis to confirm on-target activity

For comparing engineered variants:
When evaluating different antibody frameworks or formats, comprehensive side-by-side analysis should include manufacturability metrics (expression yield, monomer content) alongside functional assessments to identify optimal configurations for research applications .

How do Fc domain modifications influence AVT1I Antibody functionality in different experimental contexts?

The Fc domain significantly impacts AVT1I Antibody functionality beyond serving as a structural backbone. Strategic Fc domain engineering allows precise control over experimental outcomes:

For enhancing immune engagement:
If your experimental design requires immune system activation through ADCC (Antibody-Dependent Cellular Cytotoxicity) and/or CDC (Complement-Dependent Cytotoxicity), incorporate an Fc domain capable of engaging Fc receptors - typically a human IgG1 Fc domain. Specific Fc engineering approaches can further enhance functionality through mutations that increase Fc receptor binding .

For minimizing immune interactions:
When immune system engagement would confound experimental results, either eliminate the Fc domain entirely or incorporate an Fc domain with minimal/no binding to Fc receptors. While human IgG4 was traditionally used for this purpose, newer approaches favor specific mutations to human IgG1. The Fc Silent™ mutation abolishes binding to Fc receptors, eliminating ADCC effector function. The STR Fc silencing platform represents the most complete silencing approach currently available .

For subtypes with enhanced anti-tumor activity:
In cancer immunotherapy experiments, strategic subtype switching has demonstrated substantial efficacy improvements. Converting from mouse IgG2b to mouse IgG2a significantly increased anti-tumor activity of anti-CTLA-4 antibodies in mouse models. Similarly, switching a mouse anti-TIGIT antibody from IgG1 to IgG2a subtype enhanced anti-tumor potency .

Implement careful control strategies when modifying the Fc domain, including appropriate isotype controls that match your engineered construct.

What strategies effectively address epitope accessibility challenges when working with AVT1I Antibody?

Addressing epitope accessibility challenges requires a multifaceted methodological approach:

Fragment-based strategies:
When target epitopes demonstrate poor accessibility for full-length antibodies, consider fragment-based approaches. These formats (Fab, scFv, nanobodies) offer improved tissue penetration and access to sterically hindered epitopes, though at the cost of reduced half-life (typically hours versus days for full-length formats) .

Bispecific targeting approaches:
For challenging epitopes, implement bispecific targeting strategies to enhance binding through avidity effects. The dual targeting approach allows detection or binding of target cell types with substantially higher specificity than monospecific antibodies .

Structural modification considerations:
The structural arrangement of binding components significantly impacts epitope accessibility. Evaluate whether standard antibody configurations or alternative engineered formats better accommodate your target epitope's structural context .

Format selection methodology:
When addressing epitope accessibility:

  • First characterize the epitope's structural context through computational modeling or empirical binding studies

  • Test a panel of antibody formats with varying structural properties

  • Optimize linker length and composition for flexible access to challenging epitopes

  • Validate accessibility improvements through functional binding assays

What troubleshooting approaches address inconsistent AVT1I Antibody performance across experimental replicates?

Methodologically addressing inconsistent antibody performance requires systematic analysis:

Source variation analysis:

  • Characterize manufacturing batch consistency through analytical assays (SEC-HPLC, binding kinetics)

  • Implement standardized quality control metrics for each antibody lot

  • Maintain consistent cell line and expression conditions for antibody production

Storage and handling optimization:

  • Validate optimal storage conditions through stability studies at different temperatures

  • Determine freeze-thaw tolerance and implement aliquoting strategies

  • Develop standardized handling protocols to minimize variation between researchers

Experimental standardization:

  • Implement precise quantification methods for both the antibody and target antigen

  • Standardize critical experimental variables (incubation time, temperature, buffer composition)

  • Develop robust positive and negative controls for each experimental application

For in vivo applications:
When using AVT1I Antibody in animal models, species matching significantly impacts consistency. Recombinantly produced, species-matched antibodies reduce variability since no neutralizing antibodies are induced in the host organism, resulting in more consistent responses across experimental cohorts .

How does AVT1I Antibody compare to other research antibodies when evaluating humanization requirements?

When evaluating humanization requirements for AVT1I Antibody compared to other research antibodies, consider this methodological framework:

Humanization necessity assessment:
Two critical questions determine humanization requirements:

  • Will the antibody be used in vivo or developed for therapeutic purposes?

  • Was the antibody developed from murine or other non-human origin species?

If both answers are affirmative, exploring chimeric or humanized antibody engineering becomes essential .

Comparative humanization approaches:
Antibody humanization involves grafting non-human amino acids onto a human antibody framework, primarily focusing on CDRs (Complementarity-Determining Regions) but also including framework amino acids critical for VH:VL interface and CDR orientation. This process balances introducing maximum human content to reduce immunogenicity risk while retaining sufficient non-human content to maintain original binding activity .

Manufacturability considerations:
For antibodies demonstrating poor manufacturability properties (particularly precipitation and weak expression), humanization often provides substantial improvements when backbone modifications prove insufficient. In comparative studies, humanized variants have demonstrated up to 30-fold increases in expression level and significant improvements in monomer content compared to their chimeric counterparts .

What methodological differences should be considered when using AVT1I Antibody in different cell expression systems?

When utilizing AVT1I Antibody across different expression systems, implement these methodological considerations:

HEK293 vs. CHO system selection:

  • HEK293 advantages: May provide improved expression for antibodies that demonstrate poor expression in CHO systems, offering an alternative for challenging constructs .

  • CHO advantages: Preferred platform for therapeutic antibody expression due to lower risk of human virus infection and efficient expression of proteins requiring human-like post-translational modifications, including specific glycan modifications .

Application-specific system selection:
For research projects where minor differences between expression systems may significantly impact experimental outcomes (half-life studies, potency evaluations, glycosylation analysis), CHO expression is typically preferred for its closer approximation to production conditions .

Bridging methodology:
For projects requiring larger-scale production, transient CHO production (milligram-to-gram scales) effectively bridges the gap to stable CHO production while allowing characterization of challenging constructs .

Optimization approach:

  • Perform small-scale expression testing in multiple systems

  • Analyze product quality attributes (glycosylation patterns, aggregation tendency)

  • Evaluate expression yield and consistency

  • Select optimal system based on specific experimental requirements

How do different AVT1I Antibody formats affect experimental outcomes in complex biological systems?

The format selection for AVT1I Antibody significantly impacts experimental outcomes through multiple mechanisms:

Half-life considerations:
Format selection directly determines circulatory persistence, with full-length antibodies typically demonstrating half-lives exceeding 10 days in humans, while antibody fragments exhibit substantially shorter half-lives (typically hours). This dramatically affects dosing requirements and experimental timeframes .

Tissue penetration differences:
Larger formats (full IgG) demonstrate limited tissue penetration, while smaller formats (fragments) offer enhanced access to tissues and sterically restricted epitopes .

Effector function variation:
Format selection determines whether the antibody engages immune effector functions. Full-length antibodies with appropriate Fc domains activate ADCC/CDC, while engineered variants with silenced Fc domains or fragment formats lack these functions .

Experimental design methodology:

  • Define primary experimental objectives (long-term persistence vs. tissue penetration)

  • Determine whether immune effector functions would enhance or confound results

  • Assess target accessibility and avidity requirements

  • Select format based on these requirements rather than defaulting to conventional formats

What emerging methodologies might enhance AVT1I Antibody specificity for complex target environments?

Several emerging methodologies show promise for enhancing antibody specificity in complex environments:

Advanced bispecific approaches:
Building on current bispecific technologies, novel configurations that combine different specificities can dramatically improve targeting precision. These approaches use one binding arm to target specific proteins, markers, or organisms, while employing the second arm to recruit effector cells or deliver molecular payloads such as drugs, cytokines, or toxins .

Dual targeting strategies:
Emerging approaches focus on dual targeting to detect or bind target cell types with substantially higher specificity than conventional monospecific antibodies. This approach particularly benefits research in heterogeneous tissues or complex cellular environments .

Optimized binding configurations:
Advancing beyond simple binding arm considerations, research is exploring how the structural arrangement of binding components impacts specificity. The three major parameters influencing avidity (affinity, valency, and structural arrangement) can be methodically optimized for specific research applications .

Strategic Fc engineering:
Continuing development of Fc engineering approaches offers increasingly precise control over antibody functionality. Advanced silencing platforms like STR Fc deliver truly silent Fc mutations that completely eliminate background interactions while maintaining structural integrity .

What methodological approaches best address the transition from research applications to translational studies with AVT1I Antibody?

Methodological approaches for successful research-to-translation transitions include:

Early manufacturability assessment:
Implement comprehensive manufacturability evaluation during early research phases, examining expression titer, aggregation tendency, long-term stability, and solubility. Identifying and addressing developability concerns during early research phases can prevent significant challenges during translation .

Expression system alignment:
For research projects with translational potential, prioritize expression in CHO systems from early stages, as CHO remains the preferred platform for therapeutic antibody production. This approach minimizes variations between research reagents and translational candidates .

Humanization planning:
For antibodies of non-human origin with translational potential, implement humanization strategies during the research phase. Proper humanization balances introducing maximum human content to reduce immunogenicity while maintaining binding activity .

Framework optimization:
Address poor manufacturability properties through framework engineering rather than extensive sequence modifications that might alter binding properties. Case studies demonstrate that humanization onto favorable VH and VL germline frameworks can significantly improve expression levels and reduce aggregation tendency .

Production scalability evaluation:
Assess scalability through transient CHO production at milligram-to-gram scales as a bridge to stable production, allowing early identification of production challenges before significant investment in stable cell line development .

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