AGL71 Antibody

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Description

Contextual Analysis of AGL-Targeting Antibodies

The term "AGL" most commonly refers to amylo-alpha-1,6-glucosidase, 4-alpha-glucanotransferase, a glycogen debranching enzyme encoded by the AGL gene. Antibodies against this protein are used in metabolic disorder research, particularly glycogen storage disease type III . Key characteristics of commercially available anti-AGL antibodies include:

Epitope TargetHost SpeciesApplicationsClonalityCitations
N-terminal (AA 1-55)RabbitELISA, IFPolyclonal
C-terminal (AA 1479-1510)RabbitWB, ELISAPolyclonal
Central domain (AA 1217-1378)RabbitWB, IHCPolyclonal

No antibodies numbered "71" in this cataloging system have been documented.

Autoantibodies in Acquired Generalized Lipodystrophy (AGL)

Recent studies identified anti-PLIN1 autoantibodies (not AGL71) in 50% of AGL patients, with IgG1 being the predominant subclass :

IgG Subclass Distribution in Anti-PLIN1 Antibodies

SubclassPrevalence (%)Key Functional Role
IgG178.9Complement activation, ADCC
IgG363.2Strong complement binding
IgG226.3Carbohydrate antigen recognition
IgG45.2Anti-inflammatory modulation

These autoantibodies target the ABHD5 binding site (AA 383–405) of perilipin 1, disrupting lipid metabolism and correlating with fat loss severity (r=0.72, p<0.001) .

Technical Considerations for Antibody Identification

  1. Nomenclature Standards: Valid antibody identifiers typically include:

    • Target protein (e.g., AGL)

    • Host species (e.g., rabbit)

    • Clone number (e.g., RB4976 in )

    • Conjugate type (e.g., AP in )

  2. Potential Confounders:

    • Typographical errors in compound names

    • Undisclosed proprietary identifiers from pharmaceutical R&D

    • Misinterpretation of patient codes (e.g., AGL1-AGL39 in clinical cohorts )

Recommendations for Further Investigation

  1. Verify the intended target antigen and species reactivity

  2. Consult the International Nonproprietary Name (INN) database for therapeutic antibodies

  3. Explore patent filings using WHO's INN Global Portal

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
AGL71 antibody; At5g51870 antibody; MJM18.2MADS-box protein AGL71 antibody; Protein AGAMOUS-LIKE 71 antibody
Target Names
AGL71
Uniprot No.

Target Background

Function
AGL71 is a MADS-box transcription factor involved in the regulation of flowering time. It acts in conjunction with AGL42 and AGL72 to control flowering initiation at both the shoot apical and axillary meristems. AGL71 appears to operate through a gibberellin-dependent pathway. It exhibits genetic interaction with SOC1, and its expression is directly regulated by SOC1.
Gene References Into Functions
  1. AGL71 plays a critical role in the floral transition within both apical and axillary meristems. PMID: 21609362
Database Links

KEGG: ath:AT5G51870

UniGene: At.29655

Subcellular Location
Nucleus.

Q&A

What is AGL71 Antibody and what is its primary target?

AGL71 appears to be a human monoclonal antibody that targets the CGRP receptor. Based on available data on similar antibodies, it is likely a highly specific antibody designed for research in the field of migraine and pain signaling pathways. The CGRP receptor plays a key role in the pathophysiology of migraine, and antibodies targeting this receptor have shown effectiveness in treating acute migraine pain . Similar to characterized antibodies like AA71, AGL71 would function by binding to the CGRP receptor with high specificity to inhibit CGRP-mediated signaling.

What binding characteristics would be expected for AGL71 Antibody?

AGL71 likely exhibits high-affinity binding to its target receptor. Comparable antibodies like AA71 demonstrate potent competitive binding with [125I]-CGRP with a Ki of 0.03 nM, indicating extremely strong receptor affinity . In saturation binding analyses, similar antibodies bind the CGRP receptor in a monophasic and saturable fashion with Kd values in the range of 0.08 nM . Importantly, the binding of such antibodies to the CGRP receptor typically reaches equilibrium after approximately 240 minutes, with a prolonged dissociation half-life (t1/2 off) of around 267 minutes , suggesting stable and durable target engagement.

How does AGL71 Antibody function in experimental settings?

In functional assays, AGL71 would be expected to fully inhibit CGRP-stimulated cAMP production with an IC50 in the low nanomolar range (comparable antibodies show IC50 values of approximately 2 nM) . Importantly, high-quality antibodies in this class typically display no intrinsic agonist activity up to 10 μM, functioning purely as antagonists of the receptor . This makes them valuable tools for studying receptor blockade without confounding partial agonist effects.

What are optimal experimental conditions for using AGL71 Antibody in binding assays?

For optimal results in binding assays with AGL71, researchers should consider:

  • Temperature control: Standard radioligand binding assays are typically performed at room temperature (20-25°C)

  • Incubation time: Based on similar antibodies, allow at least 240 minutes for binding to reach equilibrium

  • Buffer composition: Physiological buffers containing appropriate ions and pH (7.2-7.4)

  • Protein concentration: Start with concentrations in the range of 0.1-10 nM based on the expected Kd

  • Control conditions: Include positive controls with known CGRP receptor antagonists and negative controls

For competition assays, it's important to note that CGRP's capability of displacing antibody binding is typically less robust than the reverse scenario, with observed Ki values in the higher nanomolar range (e.g., 370 nM for AA71) .

What species cross-reactivity should be considered when working with AGL71 Antibody?

This table summarizes the expected species cross-reactivity based on similar antibodies:

SpeciesRelative PotencyApproximate IC50Recommended Use
HumanHigh~2 nMIdeal for human tissue/cell studies
Cynomolgus monkeyHigh~4.5 nMSuitable for primate studies
DogVery low>10 μMNot recommended
RabbitVery low>10 μMNot recommended
RatVery low>10 μMNot recommended

How can researchers optimize antibody production protocols for AGL71?

Optimization of antibody production requires careful selection of media and antifoam agents. For mammalian cell culture systems producing monoclonal antibodies similar to AGL71, researchers should consider:

  • Media selection: ProCHO5, EX-Cell Advanced, and PowerCHO2 media have been shown to support strong cellular growth profiles while maintaining high specific antibody production (Qp > 2 pg/cell-d) and monomer percentage above 94% for model IgG1-producing CHO cell lines .

  • Antifoam selection: Antifoams C, EX-Cell, and SE-15 provide adequate control of foaming without compromising cell growth, while antifoams 204 and Y-30 have been observed to stunt cellular growth .

  • Growth monitoring: Target IVCD (integrated viable cell density) of 25-35 × 10^6 cells-d/mL for optimal production .

  • Cell line selection: CHO cells are the standard for therapeutic antibody production, but optimization for specific antibodies may require screening of multiple clones.

What approaches can be used to characterize the epitope binding of AGL71 Antibody?

For detailed epitope mapping of AGL71, researchers should consider these methodological approaches:

  • X-ray crystallography of antibody-receptor complexes

  • Hydrogen-deuterium exchange mass spectrometry

  • Site-directed mutagenesis of the CGRP receptor to identify critical binding residues

  • Competition binding assays with known ligands or antibodies with defined epitopes

  • Single-cell RNA and B cell receptor sequencing approaches similar to those used for other therapeutic antibodies

Researchers should note that clonal expansion is a feature of activated B cells, and selection of expanded BCR clonotypes may be valuable for identifying antibodies with similar binding properties .

How does germline bias affect antibody development and optimization for antibodies like AGL71?

Germline bias significantly impacts antibody development and optimization. For therapeutic antibodies like AGL71, understanding the germline sequence origin and non-germline (NGL) residues is crucial for further engineering:

  • Most antibodies derived from B-cell libraries originate from naive B-cells (42%) and unsorted B-cells (39%), with only 17% from memory B-cells .

  • NGL residues outside the CDR3 region show specific distribution patterns that vary between different B-cell sources .

  • Correctly selecting relevant NGL residues might result in better therapeutic antibody design and optimization than current protein and antibody-specific language models (LMs) .

Researchers developing or modifying antibodies like AGL71 should consider the impact of germline bias on their antibody sequences and implement strategies to assess and address this bias.

What considerations should be made when evaluating AGL71 for potential therapeutic applications?

While primarily a research tool, understanding AGL71's potential therapeutic applications requires consideration of:

  • Binding specificity: Like AA71, AGL71 should demonstrate >5000-fold selectivity over other closely related receptors in the same family .

  • Functional characterization: Beyond binding, functional inhibition of CGRP-stimulated signaling should be thoroughly characterized across multiple assay systems.

  • Off-target effects: Comprehensive screening against a panel of receptors, enzymes, and ion channels to identify potential cross-reactivity.

  • Stability analysis: Assessment of thermal stability, pH sensitivity, and resistance to degradation.

  • Humanization considerations: If derived from non-human sources, evaluation of immunogenicity potential.

What are common challenges in analyzing AGL71 binding kinetics and how can they be addressed?

Researchers analyzing AGL71 binding kinetics may encounter these challenges:

  • Slow dissociation rates: With dissociation half-lives potentially exceeding 240 minutes , experiments may require extended monitoring periods.

    Solution: Design experiments with appropriate timeframes and consider using surface plasmon resonance (SPR) for real-time analysis.

  • Competition with endogenous ligands: CGRP may compete with antibody binding with different kinetics.

    Solution: Perform competition studies under various conditions and time points.

  • Receptor conformation heterogeneity: CGRP receptors may exist in different conformational states.

    Solution: Employ multiple assay formats that capture different receptor states.

How can researchers evaluate AGL71 specificity against structurally similar receptors?

To ensure high specificity of AGL71, researchers should:

  • Test against a panel of related receptors, particularly those in the same family as CGRP receptors

  • Perform cross-reactivity studies using cell lines expressing different receptor types

  • Utilize competitive binding assays with various ligands

  • Consider potential cross-reactivity with structural homologs across species

Comparable antibodies have demonstrated >5000-fold selectivity over closely related receptors , setting a benchmark for specificity evaluation.

How might emerging antibody engineering techniques be applied to improve AGL71?

Future optimization of AGL71 could leverage:

  • Single-cell RNA sequencing approaches to identify improved variants

  • Novel antibody-specific language models like AbLang-2 that better account for non-germline residue prediction

  • Improved media and culture conditions for optimized production

  • Structure-guided engineering based on detailed epitope mapping

What novel applications might be explored for AGL71 beyond its primary target?

Researchers might consider:

  • Development of bispecific antibodies incorporating AGL71 binding domains

  • Application in imaging studies of CGRP receptor distribution

  • Use in structural biology studies of receptor-ligand-antibody complexes

  • Development of antibody-drug conjugates for targeted therapy

  • Exploration of the CGRP receptor in non-migraine pain conditions

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