angel2 Antibody

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Description

Definition and Mechanism

The Angel2 protein (gene ID: 90806) is a 544-amino-acid polypeptide localized to mitochondria, where it facilitates non-canonical RNA processing by removing 3’ phosphates, enabling polyadenylation . The antibody is typically polyclonal, raised in rabbits, and targets regions such as the middle domain (e.g., AA 108-138) or full-length sequences .

Common Techniques

  • Western Blotting (WB): Detects Angel2 at dilutions of 1:500–1:2000 . Observed molecular weight (62 kDa) often exceeds calculated predictions (42 kDa) due to post-translational modifications .

  • Immunohistochemistry (IHC): Validates tissue localization in human and rodent models .

  • ELISA: Quantifies Angel2 levels in biological samples .

Research Focus Areas

  • Mitochondrial Function: Studied in models of respiratory chain deficiency and RNA processing defects .

  • Disease Models: Used to investigate Pontocerebellar Hypoplasia and Tritanopia .

Key Discoveries

  1. Mitochondrial RNA Processing: Knockout studies reveal Angel2’s essential role in removing 3’ phosphates during non-canonical RNA cleavage, preventing polyadenylation failure and mitochondrial dysfunction .

  2. Disease Association: Linked to Pontocerebellar Hypoplasia via mutations disrupting RNA processing pathways .

  3. Cross-Species Reactivity: Detects Angel2 in human, mouse, and rat samples, enabling comparative studies .

Antibody Performance

  • Specificity: Affinity-purified antibodies (e.g., Elabscience E-AB-64333) minimize cross-reactivity .

  • Sensitivity: ELISA detection limits vary by vendor, with dilution ranges optimized for tissue lysates .

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 (14-16 weeks)
Synonyms
angel2 antibody; si:ch211-181h6.2 antibody; zgc:153829Protein angel homolog 2 antibody
Target Names
angel2
Uniprot No.

Q&A

What is Angiopoietin-2 and why are antibodies against it important in research?

Angiopoietin-2 (Ang-2) is a protein involved in angiogenesis that plays a crucial role in tumor development and progression. Antibodies targeting Ang-2 are important research tools because they can:

  • Block the binding of Ang-2 to its receptor Tie2

  • Inhibit tumor angiogenesis and tumor growth in experimental models

  • Reduce intratumoral microvessel density

  • Inhibit dissemination of tumor cells to distant sites such as lungs

Research has demonstrated that Ang-2 blockade results in potent tumor growth inhibition and pronounced tumor necrosis in both subcutaneous and orthotopic tumor models . Additionally, Ang-2 is upregulated in many cancer types and correlated with poor prognosis, making it an important target for cancer research .

How do I determine if an antibody is suitable for my specific application?

To determine antibody suitability for a specific application, follow these methodological steps:

  • Verify application validation: Always check if the antibody has been validated for your specific application (e.g., ELISA, flow cytometry, IHC)

  • Review epitope information: Confirm whether the antibody recognizes extracellular or intracellular domains, which affects sample preparation requirements

  • Check species reactivity: Ensure the antibody reacts with your target species (human, mouse, etc.)

  • Examine published literature: Search for publications that have used the antibody in similar applications

  • Consider antibody format: Determine whether monoclonal or polyclonal formats are more suitable for your application

Remember that antibodies successfully tested in one application (e.g., Western Blotting) may not be suitable for other applications like flow cytometry . When possible, always use antibodies that have been validated specifically for your intended application.

What controls should I include when using Ang-2/ANGEL2 antibodies in my experiments?

Proper controls are essential for demonstrating specificity of antigen-antibody interactions. For antibody experiments, include these four critical control types:

  • Unstained cells: Address autofluorescence that may increase the population of false-positive cells

  • Negative cell population: Use cells not expressing the protein of interest to control for antibody specificity

  • Isotype control: Use an antibody of the same class as your primary antibody but with no known specificity for your target (e.g., Non-specific Control IgG, Clone X63) to assess background staining due to Fc receptor binding

  • Secondary antibody control: For indirect staining protocols, include cells treated with only labeled secondary antibody to evaluate non-specific binding

Additionally, when studying Ang-2 antibodies specifically, consider including:

  • Ang-1 binding controls to assess selectivity between angiopoietins

  • Tie2 receptor controls to evaluate blockade of receptor binding

How do I optimize antibody concentration for my experiment?

Optimizing antibody concentration involves a systematic titration approach:

  • Start with the manufacturer's recommended concentration range

  • Perform a dilution series spanning at least one order of magnitude above and below the recommended concentration

  • For Ang-2 antibodies specifically, titration in concentrations ranging from 0.0025 μg/mL to 10 μg/mL has been shown to produce reliable dose-response curves for determining EC50 values

  • Evaluate signal-to-noise ratio at each concentration

  • Select the concentration that provides maximum specific signal with minimal background

For flow cytometry applications, always include unstained and single-stained controls alongside your titration to accurately assess background levels and compensation requirements .

How can I assess Ang-2 antibody selectivity over Ang-1?

Selective targeting of Ang-2 over Ang-1 is important in many research applications. To assess antibody selectivity:

  • Binding competition assays:

    • Use biotinylated antibodies specific for human Ang-2 that don't interfere with Tie2-Ang-2 interaction

    • Detect with PE-labeled Streptavidin

    • Titrate your test antibody to generate dose-response curves

    • Calculate EC50 values to quantify binding affinity

  • Functional selectivity assays:

    • Measure inhibition of Ang-2 induced Tie2 phosphorylation using a sandwich ELISA

    • Compare inhibition of Ang-2 vs. Ang-1 induced signaling

    • Antibodies like LC06 show high selectivity for Ang-2 over Ang-1, while others like LC08 can be considered Ang-2/Ang-1 cross-reactive

  • In vivo assay for selectivity:

    • Examine effects on normal vasculature in mouse trachea model

    • Selective Ang-2 antibodies (e.g., LC06) appear to restrict effects to tumor vasculature

    • Less selective antibodies (e.g., LC08) lead to regression of healthy vessels, indicating potential increased toxicity

AntibodyAng-2 BindingAng-1 BindingSelectivity ProfileEffect on Normal Vasculature
LC06High affinityLow affinityHighly selectiveNo obvious effects
LC08High affinityHigh affinityCross-reactiveRegression of vessels

What flow cytometry approaches work best for studying Ang-2/ANGEL2 binding to cells?

For optimal flow cytometry experiments studying antibody binding:

  • Cell preparation considerations:

    • For extracellular epitopes: Stain intact cells without fixation or use mild fixation that preserves extracellular domains

    • For intracellular epitopes: Use appropriate fixation and permeabilization buffers

    • Perform all steps on ice to prevent internalization of membrane antigens, and consider using PBS with 0.1% sodium azide

  • Receptor binding studies:

    • For Ang-2 binding studies specifically, establish stable cell lines expressing the receptor (e.g., HEK293-Tie2 cells)

    • Select clones with high and stable receptor expression (e.g., Clone 22 for Tie2)

    • Use biotinylated antibodies that don't interfere with ligand-receptor interactions

  • Blocking strategies:

    • Block with 10% normal serum from the same host species as the labeled secondary antibody

    • Ensure the blocking serum is NOT from the same host species as the primary antibody

    • For Fc-rich samples, consider using specific Fc receptor blocking reagents

  • Cell viability considerations:

    • Perform cell count and viability check before sample preparation

    • Ensure cell viability >90% to avoid high background from dead cells

    • Maintain cell concentration between 105 to 106 to avoid flow cell clogging

How do I troubleshoot high background or non-specific binding with antibody staining?

When encountering high background or non-specific binding:

  • Reduce Fc receptor binding:

    • Implement appropriate blocking with serum from the same species as your secondary antibody

    • Use commercially available Fc receptor blocking reagents

    • Consider using F(ab')2 fragments instead of whole antibodies

  • Optimize cell preparation:

    • Ensure cell viability >90% as dead cells contribute to high background scatter

    • Adjust fixation protocols as over-fixation can increase autofluorescence

    • Perform additional washing steps with buffers containing 0.1-0.5% BSA or serum

  • Adjust antibody concentrations:

    • Titrate primary and secondary antibodies to find optimal concentrations

    • For Ang-2 antibodies, concentrations between 0.0025-10 μg/mL have been used successfully

  • Control autofluorescence:

    • Include unstained controls to assess native autofluorescence levels

    • Consider using spectral unmixing or autofluorescence quenching reagents

    • Select fluorophores with emission spectra distinct from cellular autofluorescence

What are the key methodological considerations for using antibodies in different applications?

Different applications require specific methodological considerations:

  • Flow cytometry:

    • For membrane proteins: Use unfixed or mildly fixed cells

    • For intracellular targets: Select appropriate fixation and permeabilization methods

    • Include all four control types (unstained, negative cells, isotype control, secondary antibody control)

  • Sandwich immunoassays:

    • Select capture and detection antibodies that recognize different epitopes

    • Validate antibody pairs to ensure no interference between binding sites

    • Human/Mouse Angiopoietin-2 Antibody (Clone # 85816) has been validated for sandwich immunoassays

  • Receptor binding inhibition assays:

    • For Ang-2 studies, establish stable receptor-expressing cell lines (e.g., HEK293-Tie2)

    • Use ELISA-based methods to quantify receptor phosphorylation

    • Include positive controls (receptor stimulation) and negative controls (no stimulation)

How do Ang-2 antibodies affect tumor vasculature in preclinical models?

Ang-2 antibodies have demonstrated significant effects on tumor vasculature in preclinical models:

  • Structural changes to tumor vessels:

    • Reduction in intratumoral microvessel density

    • Formation of vessels with fewer branches

    • Increased pericyte coverage of remaining vessels

  • Functional changes:

    • Vascular normalization rather than complete vessel elimination

    • Strong inhibition of tumor cell dissemination to the lungs

    • Pronounced tumor necrosis in both subcutaneous and orthotopic models

  • Selectivity effects:

    • Highly selective anti-Ang-2 antibodies (e.g., LC06) appear to restrict effects to tumor vasculature

    • Less selective antibodies (e.g., LC08) can affect normal vasculature, potentially increasing toxicity

These effects demonstrate that Ang-2 antibodies represent promising therapeutic agents for cancer treatment through their ability to remodel tumor vasculature while potentially sparing normal blood vessels when using highly selective antibodies .

What are the current challenges in antibody-based detection of low-abundance targets?

Detecting low-abundance targets presents several methodological challenges:

  • Signal amplification strategies:

    • Use of secondary detection systems with multiple fluorophores per binding event

    • Enzymatic amplification methods (e.g., tyramide signal amplification)

    • Consider biotin-streptavidin systems which can increase sensitivity

  • Reducing background noise:

    • Implement rigorous blocking protocols

    • Use highly validated antibodies with confirmed specificity

    • Consider cell enrichment strategies before antibody staining

  • Advanced detection platforms:

    • Consider high-sensitivity flow cytometry with photomultiplier tubes

    • Evaluate digital PCR or mass cytometry for extremely low abundance targets

    • Machine learning approaches have shown promise for improving antibody-antigen binding prediction, especially for out-of-distribution scenarios

  • Sample preparation optimization:

    • Increase starting cell numbers to improve detection of rare events

    • Implement consistent protocols across experiments to reduce variability

    • For flow cytometry, collecting more events (>100,000) improves detection of rare populations

How are machine learning approaches improving antibody research?

Machine learning is revolutionizing antibody research in several key areas:

  • Predicting antibody-antigen binding:

    • Library-on-library approaches are identifying specific interacting pairs

    • Machine learning models can analyze many-to-many relationships between antibodies and antigens

    • These methods are particularly valuable for out-of-distribution prediction scenarios

  • Active learning for experimental design:

    • Machine learning can reduce experimental costs by prioritizing the most informative experiments

    • These approaches are especially valuable given that generating experimental binding data is costly

    • Active learning strategies improve predictive performance while minimizing experimental resource requirements

  • Clinical applications:

    • Predictive models help identify promising antibody candidates for therapeutic development

    • For Ang-2 antibodies specifically, computational approaches could help design antibodies with optimal selectivity profiles

    • Machine learning may eventually accelerate the transition from preclinical to clinical studies

These computational approaches represent a promising direction for improving antibody development efficiency and expanding our understanding of complex binding interactions.

Frequently Asked Questions about ANGEL2/Angiopoietin-2 Antibodies for Researchers

This collection of frequently asked questions addresses common inquiries about antibodies related to ANGEL2 and Angiopoietin-2 in research settings. The FAQs are organized from basic to advanced research applications, with a focus on methodological approaches rather than simple definitions.

What is Angiopoietin-2 and why are antibodies against it important in research?

Angiopoietin-2 (Ang-2) is a protein involved in angiogenesis that plays a crucial role in tumor development and progression. Antibodies targeting Ang-2 are important research tools because they can:

  • Block the binding of Ang-2 to its receptor Tie2

  • Inhibit tumor angiogenesis and tumor growth in experimental models

  • Reduce intratumoral microvessel density

  • Inhibit dissemination of tumor cells to distant sites such as lungs

Research has demonstrated that Ang-2 blockade results in potent tumor growth inhibition and pronounced tumor necrosis in both subcutaneous and orthotopic tumor models . Additionally, Ang-2 is upregulated in many cancer types and correlated with poor prognosis, making it an important target for cancer research .

How do I determine if an antibody is suitable for my specific application?

To determine antibody suitability for a specific application, follow these methodological steps:

  • Verify application validation: Always check if the antibody has been validated for your specific application (e.g., ELISA, flow cytometry, IHC)

  • Review epitope information: Confirm whether the antibody recognizes extracellular or intracellular domains, which affects sample preparation requirements

  • Check species reactivity: Ensure the antibody reacts with your target species (human, mouse, etc.)

  • Examine published literature: Search for publications that have used the antibody in similar applications

  • Consider antibody format: Determine whether monoclonal or polyclonal formats are more suitable for your application

Remember that antibodies successfully tested in one application (e.g., Western Blotting) may not be suitable for other applications like flow cytometry . When possible, always use antibodies that have been validated specifically for your intended application.

What controls should I include when using Ang-2/ANGEL2 antibodies in my experiments?

Proper controls are essential for demonstrating specificity of antigen-antibody interactions. For antibody experiments, include these four critical control types:

  • Unstained cells: Address autofluorescence that may increase the population of false-positive cells

  • Negative cell population: Use cells not expressing the protein of interest to control for antibody specificity

  • Isotype control: Use an antibody of the same class as your primary antibody but with no known specificity for your target (e.g., Non-specific Control IgG, Clone X63) to assess background staining due to Fc receptor binding

  • Secondary antibody control: For indirect staining protocols, include cells treated with only labeled secondary antibody to evaluate non-specific binding

Additionally, when studying Ang-2 antibodies specifically, consider including:

  • Ang-1 binding controls to assess selectivity between angiopoietins

  • Tie2 receptor controls to evaluate blockade of receptor binding

How do I optimize antibody concentration for my experiment?

Optimizing antibody concentration involves a systematic titration approach:

  • Start with the manufacturer's recommended concentration range

  • Perform a dilution series spanning at least one order of magnitude above and below the recommended concentration

  • For Ang-2 antibodies specifically, titration in concentrations ranging from 0.0025 μg/mL to 10 μg/mL has been shown to produce reliable dose-response curves for determining EC50 values

  • Evaluate signal-to-noise ratio at each concentration

  • Select the concentration that provides maximum specific signal with minimal background

For flow cytometry applications, always include unstained and single-stained controls alongside your titration to accurately assess background levels and compensation requirements .

How can I assess Ang-2 antibody selectivity over Ang-1?

Selective targeting of Ang-2 over Ang-1 is important in many research applications. To assess antibody selectivity:

  • Binding competition assays:

    • Use biotinylated antibodies specific for human Ang-2 that don't interfere with Tie2-Ang-2 interaction

    • Detect with PE-labeled Streptavidin

    • Titrate your test antibody to generate dose-response curves

    • Calculate EC50 values to quantify binding affinity

  • Functional selectivity assays:

    • Measure inhibition of Ang-2 induced Tie2 phosphorylation using a sandwich ELISA

    • Compare inhibition of Ang-2 vs. Ang-1 induced signaling

    • Antibodies like LC06 show high selectivity for Ang-2 over Ang-1, while others like LC08 can be considered Ang-2/Ang-1 cross-reactive

  • In vivo assay for selectivity:

    • Examine effects on normal vasculature in mouse trachea model

    • Selective Ang-2 antibodies (e.g., LC06) appear to restrict effects to tumor vasculature

    • Less selective antibodies (e.g., LC08) lead to regression of healthy vessels, indicating potential increased toxicity

AntibodyAng-2 BindingAng-1 BindingSelectivity ProfileEffect on Normal Vasculature
LC06High affinityLow affinityHighly selectiveNo obvious effects
LC08High affinityHigh affinityCross-reactiveRegression of vessels

What flow cytometry approaches work best for studying Ang-2/ANGEL2 binding to cells?

For optimal flow cytometry experiments studying antibody binding:

  • Cell preparation considerations:

    • For extracellular epitopes: Stain intact cells without fixation or use mild fixation that preserves extracellular domains

    • For intracellular epitopes: Use appropriate fixation and permeabilization buffers

    • Perform all steps on ice to prevent internalization of membrane antigens, and consider using PBS with 0.1% sodium azide

  • Receptor binding studies:

    • For Ang-2 binding studies specifically, establish stable cell lines expressing the receptor (e.g., HEK293-Tie2 cells)

    • Select clones with high and stable receptor expression (e.g., Clone 22 for Tie2)

    • Use biotinylated antibodies that don't interfere with ligand-receptor interactions

  • Blocking strategies:

    • Block with 10% normal serum from the same host species as the labeled secondary antibody

    • Ensure the blocking serum is NOT from the same host species as the primary antibody

    • For Fc-rich samples, consider using specific Fc receptor blocking reagents

  • Cell viability considerations:

    • Perform cell count and viability check before sample preparation

    • Ensure cell viability >90% to avoid high background from dead cells

    • Maintain cell concentration between 105 to 106 to avoid flow cell clogging

How do I troubleshoot high background or non-specific binding with antibody staining?

When encountering high background or non-specific binding:

  • Reduce Fc receptor binding:

    • Implement appropriate blocking with serum from the same species as your secondary antibody

    • Use commercially available Fc receptor blocking reagents

    • Consider using F(ab')2 fragments instead of whole antibodies

  • Optimize cell preparation:

    • Ensure cell viability >90% as dead cells contribute to high background scatter

    • Adjust fixation protocols as over-fixation can increase autofluorescence

    • Perform additional washing steps with buffers containing 0.1-0.5% BSA or serum

  • Adjust antibody concentrations:

    • Titrate primary and secondary antibodies to find optimal concentrations

    • For Ang-2 antibodies, concentrations between 0.0025-10 μg/mL have been used successfully

  • Control autofluorescence:

    • Include unstained controls to assess native autofluorescence levels

    • Consider using spectral unmixing or autofluorescence quenching reagents

    • Select fluorophores with emission spectra distinct from cellular autofluorescence

What are the key methodological considerations for using antibodies in different applications?

Different applications require specific methodological considerations:

  • Flow cytometry:

    • For membrane proteins: Use unfixed or mildly fixed cells

    • For intracellular targets: Select appropriate fixation and permeabilization methods

    • Include all four control types (unstained, negative cells, isotype control, secondary antibody control)

  • Sandwich immunoassays:

    • Select capture and detection antibodies that recognize different epitopes

    • Validate antibody pairs to ensure no interference between binding sites

    • Human/Mouse Angiopoietin-2 Antibody (Clone # 85816) has been validated for sandwich immunoassays

  • Receptor binding inhibition assays:

    • For Ang-2 studies, establish stable receptor-expressing cell lines (e.g., HEK293-Tie2)

    • Use ELISA-based methods to quantify receptor phosphorylation

    • Include positive controls (receptor stimulation) and negative controls (no stimulation)

How do Ang-2 antibodies affect tumor vasculature in preclinical models?

Ang-2 antibodies have demonstrated significant effects on tumor vasculature in preclinical models:

  • Structural changes to tumor vessels:

    • Reduction in intratumoral microvessel density

    • Formation of vessels with fewer branches

    • Increased pericyte coverage of remaining vessels

  • Functional changes:

    • Vascular normalization rather than complete vessel elimination

    • Strong inhibition of tumor cell dissemination to the lungs

    • Pronounced tumor necrosis in both subcutaneous and orthotopic models

  • Selectivity effects:

    • Highly selective anti-Ang-2 antibodies (e.g., LC06) appear to restrict effects to tumor vasculature

    • Less selective antibodies (e.g., LC08) can affect normal vasculature, potentially increasing toxicity

These effects demonstrate that Ang-2 antibodies represent promising therapeutic agents for cancer treatment through their ability to remodel tumor vasculature while potentially sparing normal blood vessels when using highly selective antibodies .

What are the current challenges in antibody-based detection of low-abundance targets?

Detecting low-abundance targets presents several methodological challenges:

  • Signal amplification strategies:

    • Use of secondary detection systems with multiple fluorophores per binding event

    • Enzymatic amplification methods (e.g., tyramide signal amplification)

    • Consider biotin-streptavidin systems which can increase sensitivity

  • Reducing background noise:

    • Implement rigorous blocking protocols

    • Use highly validated antibodies with confirmed specificity

    • Consider cell enrichment strategies before antibody staining

  • Advanced detection platforms:

    • Consider high-sensitivity flow cytometry with photomultiplier tubes

    • Evaluate digital PCR or mass cytometry for extremely low abundance targets

    • Machine learning approaches have shown promise for improving antibody-antigen binding prediction, especially for out-of-distribution scenarios

  • Sample preparation optimization:

    • Increase starting cell numbers to improve detection of rare events

    • Implement consistent protocols across experiments to reduce variability

    • For flow cytometry, collecting more events (>100,000) improves detection of rare populations

How are machine learning approaches improving antibody research?

Machine learning is revolutionizing antibody research in several key areas:

  • Predicting antibody-antigen binding:

    • Library-on-library approaches are identifying specific interacting pairs

    • Machine learning models can analyze many-to-many relationships between antibodies and antigens

    • These methods are particularly valuable for out-of-distribution prediction scenarios

  • Active learning for experimental design:

    • Machine learning can reduce experimental costs by prioritizing the most informative experiments

    • These approaches are especially valuable given that generating experimental binding data is costly

    • Active learning strategies improve predictive performance while minimizing experimental resource requirements

  • Clinical applications:

    • Predictive models help identify promising antibody candidates for therapeutic development

    • For Ang-2 antibodies specifically, computational approaches could help design antibodies with optimal selectivity profiles

    • Machine learning may eventually accelerate the transition from preclinical to clinical studies

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