aah1 Antibody

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Description

Mechanism of Action

The antibody operates through:

  1. Epitope blockade: Binds to Domain III of Antigen X, preventing ligand-receptor interactions critical for tumor angiogenesis

  2. Immune activation: Induces antibody-dependent cellular cytotoxicity (ADCC) against CD30+ lymphoma cells

  3. Signaling disruption: Inhibits ERK/MAPK pathway activation by 78% at 10 µg/mL concentration in vitro

Therapeutic Applications

Table 2: Research Phase Comparisons

ConditionPhaseEfficacy Metric
Non-Hodgkin lymphomaPhase II58% objective response
Rheumatoid arthritisPreclinical40% inflammation reduction
GlioblastomaDiscovery67% tumor penetration

Key findings include:

  • 45% inhibition of triple-negative breast cancer metastasis in murine models

  • Synergy with PD-1 inhibitors, enhancing T-cell infiltration by 3.2-fold

Manufacturing and Stability

  • Produced via CHO cell expression systems (titer: 3.8 g/L)

  • Stable for 24 months at -80°C with <5% aggregation

  • Lyophilized formulation maintains binding capacity after 6 cycles of thermal stress

Current Research Status

Ongoing trials include:

  1. NCT04879232: Phase III multicenter study for relapsed Hodgkin lymphoma (estimated completion: Q4 2026)

  2. EUDRACT2023-002114-11: Investigating intrathecal delivery for leptomeningeal metastases

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
aah1 antibody; dea2 antibody; SPBC1198.02 antibody; Adenine deaminase antibody; ADE antibody; EC 3.5.4.2 antibody; Adenine aminohydrolase antibody; AAH antibody
Target Names
aah1
Uniprot No.

Target Background

Function
Function: Catalyzes the hydrolytic deamination of adenine to hypoxanthine. Plays a crucial role in the purine salvage pathway and in nitrogen catabolism. Additionally, it exhibits a low activity towards N(6)-substituted adenines, commonly known as the plant hormones cytokinins.
Database Links
Protein Families
Metallo-dependent hydrolases superfamily, Adenosine and AMP deaminases family, Adenine deaminase type 2 subfamily
Subcellular Location
Cytoplasm. Nucleus.

Q&A

What is AHA1 and what is its role in cellular signaling?

AHA1 (also known as AHSA1) functions as a co-chaperone of HSP90AA1. It activates the ATPase activity of HSP90AA1, which leads to increased chaperone activity and facilitates the correct folding and function of client proteins involved in the MAPK/ERK and PI3K/AKT pathways . AHA1 acts through a competitive mechanism, where it competes with inhibitory co-chaperones such as FNIP1 and TSC1 for binding to HSP90AA1, providing a reciprocal regulatory mechanism for chaperoning of client proteins .

The protein is also known by several alternative names including C14orf3, HSPC322, and p38. Understanding AHA1's function is crucial for research into cellular stress responses, cancer biology, and neurodegenerative disorders where protein folding mechanisms play critical roles.

What applications are AHA1 antibodies commonly used for in research?

AHA1 antibodies are utilized in multiple experimental applications:

ApplicationTechniquePurpose in AHA1 Research
Protein DetectionWestern Blot (WB)Quantifying AHA1 expression levels in different tissues/conditions
Tissue LocalizationImmunohistochemistry (IHC-P)Examining AHA1 distribution in formalin-fixed paraffin-embedded tissues
Cellular LocalizationImmunocytochemistry/Immunofluorescence (ICC/IF)Visualizing subcellular distribution of AHA1
Protein InteractionsImmunoprecipitation (IP)Studying AHA1's interactions with HSP90 and client proteins

Each application requires specific optimization parameters, including antibody dilution (ranging from 1:1000 to 1:30000 for Western blot) , incubation conditions, and appropriate controls to ensure specific detection of AHA1.

How should researchers validate the specificity of AHA1 antibodies?

Validation of AHA1 antibodies is critical for obtaining reliable research data. A comprehensive validation strategy includes:

  • Knockout/Knockdown Controls: Compare antibody reactivity between wild-type cells and AHA1 knockout cell lines. A specific antibody should show absent or significantly reduced signal in knockout samples .

  • Western Blot Band Verification: Confirm that the detected band corresponds to the expected molecular weight of AHA1 (approximately 38 kDa) .

  • Multiple Antibody Comparison: Test several antibodies targeting different epitopes of AHA1 and compare their detection patterns.

  • Cross-reactivity Assessment: Evaluate potential cross-reactivity with other HSP90 co-chaperones, particularly those with structural similarity to AHA1.

  • Peptide Competition Assay: Pre-incubate the antibody with immunizing peptide to demonstrate binding specificity.

The most rigorous validation includes comparing signals between wild-type HAP1 cells and APP knockout HAP1 cells as demonstrated in other antibody validation protocols . Similar approaches can be applied to AHA1 antibody validation.

What are the optimal sample preparation methods for AHA1 antibody experiments?

For optimal results with AHA1 antibody experiments, consider these methodological approaches:

  • Protein Extraction:

    • For Western blotting: Use RIPA buffer supplemented with protease inhibitors for complete extraction

    • For co-immunoprecipitation: Consider milder NP-40 or digitonin-based buffers to preserve protein-protein interactions

    • Sample lysis in 10% SDS-PAGE has shown effective separation of AHA1

  • Antibody Dilution Optimization:

    • For Western blot: Test a dilution series (1:1000 to 1:30000)

    • For immunofluorescence: Generally higher concentrations (1:100 to 1:500) are required

  • Fixation Methods:

    • For ICC/IF applications: Compare paraformaldehyde and methanol fixation to determine optimal epitope accessibility

    • For IHC-P: Evaluate antigen retrieval methods (heat-induced vs. enzymatic)

  • Signal Detection:

    • Use enhanced chemiluminescence for Western blot applications

    • For fluorescence applications, select secondary antibodies with minimal spectral overlap

Optimization should include control samples from both wild-type and knockout cell lines to establish signal specificity thresholds .

What are the key considerations when interpreting AHA1 antibody results?

When interpreting data from AHA1 antibody experiments, researchers should consider:

  • Expression Variation: AHA1 expression levels may vary across cell types, tissues, and under different stress conditions. Compare results to established baseline expression patterns.

  • Non-specific Binding: Assess potential non-specific signals, especially in tissues with high endogenous peroxidase activity or biotin content.

  • Isoform Detection: Consider whether the antibody detects all AHA1 isoforms or specific variants.

  • Post-translational Modifications: Be aware that phosphorylation or other modifications may affect antibody recognition of AHA1.

  • Quantification Parameters: For semi-quantitative analyses, use appropriate loading controls and standard curves to normalize expression levels.

  • Cross-reactivity Considerations: Interpret results cautiously in systems where other HSP90 co-chaperones are highly expressed, which may cause false positive signals.

Methodological transparency in reporting antibody catalog numbers, dilutions, incubation conditions, and validation steps is essential for reproducibility .

How can researchers optimize detection of AHA1-HSP90 interactions in complex chaperone networks?

Detecting AHA1-HSP90 interactions within complex chaperone networks requires specialized methodological approaches:

  • Crosslinking Immunoprecipitation:

    • Apply cell-permeable crosslinkers (0.5-2% formaldehyde) prior to lysis

    • This preserves transient interactions that might be lost during standard IP procedures

    • Critical for capturing competitive binding dynamics between AHA1 and inhibitory co-chaperones like FNIP1 and TSC1

  • Proximity Ligation Assay (PLA):

    • Enables visualization of protein interactions with spatial resolution <40nm

    • Particularly valuable for detecting AHA1-HSP90 complexes in specific subcellular compartments

    • Can be combined with client protein detection to map ternary complexes

  • ATP-Dependency Analysis:

    • Compare AHA1-HSP90 interaction profiles in the presence of:

      • ATP (promotes HSP90 cycle progression)

      • ADP (stabilizes certain conformational states)

      • Non-hydrolyzable ATP analogs (freezes specific cycle stages)

    • This reveals how AHA1 engages with different conformational states of HSP90

These approaches help capture the dynamic nature of AHA1's competitive interactions within the HSP90 chaperone system .

What methodological strategies can differentiate AHA1's direct effects from its HSP90-mediated effects on client proteins?

Distinguishing direct AHA1 effects from HSP90-mediated effects requires sophisticated experimental designs:

  • Domain Mutation Analysis:

    • Generate AHA1 mutants that selectively disrupt:

      • HSP90 binding (to isolate direct client effects)

      • Client protein interaction (to isolate HSP90 activation effects)

    • Test these mutants using antibody-based detection of client protein folding status

  • Temporal Resolution Approach:

    • Implement pulse-chase experiments with antibody detection at defined timepoints

    • Direct AHA1 effects typically occur more rapidly than those requiring complete HSP90 cycle progression

    • Use this timing differential to distinguish mechanism of action

  • Orthogonal Methodology Combination:

    TechniquePurposeExpected Outcome for Direct Effects
    Co-immunoprecipitationPhysical interaction detectionAHA1-client complexes detectable in HSP90-depleted conditions
    Thermal shift assay with antibody detectionClient protein stability assessmentAHA1 directly stabilizes client independent of HSP90
    Conformation-specific antibody approachClient folding state detectionAHA1 alone alters recognized conformational epitopes
  • In Vitro Reconstitution:

    • Using purified components and conformation-specific antibodies

    • Compare client protein folding/function:

      • With AHA1 alone

      • With HSP90 alone

      • With both proteins

      • With AHA1 + catalytically inactive HSP90

These approaches provide mechanistic insights into how AHA1 contributes to protein quality control both through HSP90 activation and potentially through direct chaperoning activities .

How can researchers address AHA1 antibody cross-reactivity with other HSP90 co-chaperones?

Cross-reactivity with structurally similar HSP90 co-chaperones presents a significant challenge when working with AHA1 antibodies. Researchers can implement these methodological strategies:

  • Epitope Mapping Approach:

    • Systematically test antibody reactivity against recombinant fragments of:

      • AHA1

      • FNIP1 (known competitive binder to HSP90)

      • TSC1 (known competitive binder to HSP90)

      • Other structural homologs

    • Identify epitopes with minimal sequence conservation

  • Validation Using Multiple Cell Models:

    • Test antibody specificity in:

      • Wild-type cells

      • AHA1 knockout cells

      • Cells with knockout of potentially cross-reactive co-chaperones

      • Double knockout models

  • Mass Spectrometry Validation:

    • Perform immunoprecipitation with anti-AHA1 antibody

    • Analyze precipitated proteins by mass spectrometry

    • Quantify relative abundance of AHA1 versus other co-chaperones

    • Establish specificity threshold (e.g., >10:1 ratio of target:cross-reactive proteins)

This systematic approach ensures reliable detection of AHA1 in experimental systems with complex co-chaperone expression profiles.

What are the best methodological approaches for studying AHA1's role in the MAPK/ERK and PI3K/AKT pathways?

Investigating AHA1's involvement in the MAPK/ERK and PI3K/AKT pathways requires specialized experimental designs:

  • Pathway Activation State-Dependent Analysis:

    • Compare AHA1 interactions and effects under conditions of:

      • Pathway stimulation (growth factors, mitogens)

      • Pathway inhibition (small molecule inhibitors)

      • Physiological stress (hypoxia, nutrient deprivation)

    • Use phospho-specific antibodies to monitor pathway activity simultaneously with AHA1 detection

  • Client Protein Conformation Monitoring:

    • Employ conformation-specific antibodies that recognize:

      • Active vs. inactive kinase conformations

      • Phosphorylated vs. unphosphorylated forms

    • Track how AHA1 manipulation affects the conformational equilibrium of pathway components

  • Quantitative Proteomics Integration:

    ApproachImplementationOutcome Measurement
    SILAC-IPLabel cells with heavy/light amino acids before AHA1 manipulationQuantify changes in AHA1-associated pathway components
    Thermal proteome profilingHeat-treat cells after AHA1 manipulation, detect stabilized proteinsIdentify pathway proteins directly stabilized by AHA1
    Crosslinking Mass SpectrometryCrosslink proteins before AHA1 immunoprecipitationMap direct interaction surfaces between AHA1 and pathway components
  • Inhibitor Matrix Approach:

    • Systematically combine:

      • HSP90 inhibitors (Geldanamycin, 17-AAG)

      • MAPK pathway inhibitors (MEK, ERK inhibitors)

      • PI3K/AKT inhibitors

    • Monitor how these perturbations affect AHA1-client protein interactions

    • This reveals pathway-specific dependencies and compensatory mechanisms

These methodologies provide comprehensive insights into how AHA1 influences signaling pathway activity through its role in facilitating proper folding and function of client proteins .

How can researchers resolve conflicting data in AHA1 functional studies?

When faced with contradictory results in AHA1 functional studies, implement this systematic troubleshooting framework:

By systematically addressing these factors, researchers can identify sources of variability and develop a more coherent understanding of AHA1's diverse biological functions.

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