AT3 Antibody

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Description

Antithrombin III (AT3): Biological Role and Structure

Antithrombin III (AT3), encoded by the SERPINC1 gene, is a 464-amino-acid glycoprotein produced in the liver. It inhibits thrombin (Factor IIa) and other serine proteases (e.g., Factor Xa) to prevent excessive clotting . Structurally, AT3 contains three disulfide bonds and four glycosylation sites, with α- and β-isoforms differing in glycosylation patterns .

Key Functions:

  • Neutralizes thrombin and Factor Xa, reducing clot formation.

  • Heparin binds to AT3, accelerating its anticoagulant activity by ~1,000-fold .

  • Normal plasma concentration: ~0.12 mg/ml (2.3 µM) .

AT3 Antibodies: Types and Applications

AT3 antibodies are primarily used in research and diagnostics to quantify or detect AT3 levels. These include:

  • Diagnostic Antibodies: Measure AT3 activity in plasma to identify deficiencies linked to thrombotic disorders .

  • Research Antibodies: Used in Western blot (WB), immunohistochemistry (IHC), and immunoprecipitation (IP) to study AT3 expression and localization .

Associations with Disorders:

  • Low AT3: Linked to deep vein thrombosis (DVT), liver cirrhosis, nephrotic syndrome, and disseminated intravascular coagulation (DIC) .

  • High AT3: Observed in hemophilia or vitamin K deficiency .

Therapeutic Use of AT3:
While AT3 itself is administered to critically ill patients (e.g., sepsis), clinical trials show:

  • No mortality benefit: RR 0.95 (95% CI 0.88–1.03) .

  • Increased bleeding risk: RR 1.58 (95% CI 1.35–1.84) .

  • Subgroup analyses (e.g., severe sepsis/DIC) also showed no significant survival improvement .

Performance in Experimental Models

  • Western Blot: Detects AT3 in human liver (51 kDa) and cerebellum (52 kDa), with cross-reactivity in rodent tissues .

  • IHC: Minimal staining in human cerebrum, suggesting tissue-specific expression patterns .

Clinical Trial Outcomes

Outcome MeasureAT III vs. Placebo (RR or MD)
28-Day MortalityRR 0.95 (95% CI 0.88–1.03)
Bleeding EventsRR 1.58 (95% CI 1.35–1.84)
Multiple Organ FailureMD -1.24 (95% CI -2.18–-0.29)

Future Directions

Current research focuses on:

  • Optimizing AT3 antibody specificity for diagnostic accuracy.

  • Exploring engineered AT3 variants with enhanced heparin affinity or stability .

  • Investigating AT3’s anti-inflammatory properties in sepsis and trauma .

AT3 antibodies remain vital tools for understanding coagulation dynamics and managing thrombotic disorders, though therapeutic applications of exogenous AT3 show limited efficacy in critical care .

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
AT3 antibody; At5g55360 antibody; MTE17.7 antibody; Probable long-chain-alcohol O-fatty-acyltransferase 3 antibody; EC 2.3.1.75 antibody; Wax synthase 3 antibody
Target Names
AT3
Uniprot No.

Target Background

Function
Catalyzes the final step in the biosynthesis of long-chain linear esters (waxes).
Database Links
Protein Families
Wax synthase family
Subcellular Location
Membrane; Multi-pass membrane protein.

Q&A

What is Antithrombin III and why is it significant in research?

Antithrombin III (AT III) is a protein that helps control blood clotting. This glycoprotein plays a crucial role in regulating coagulation by inhibiting several enzymes in the coagulation cascade. Its significance in research stems from its role in thrombotic disorders, as lower-than-normal AT III levels correlate with increased risk for blood clotting . AT III deficiency can be inherited or acquired, making it relevant for both genetic and clinical studies. Research applications focus on understanding both normal coagulation processes and pathological conditions associated with thrombophilia.

How do AT3 antibodies function in laboratory applications?

AT3 antibodies serve as versatile research tools by specifically binding to antithrombin III protein. These antibodies enable detection, quantification, and isolation of AT III from biological samples through various techniques:

  • Immunohistochemistry: Visualizing AT3 distribution in tissue samples

  • Western blotting: Detecting AT3 protein in cell or tissue lysates

  • ELISA: Quantifying AT3 levels in serum or plasma samples

  • Immunoprecipitation: Isolating AT3 and associated protein complexes

  • Flow cytometry: Analyzing AT3 in specific cell populations

Different AT3 antibodies may recognize distinct epitopes, allowing researchers to detect total AT3, specific conformational states, or post-translationally modified variants.

What validation methods are essential for confirming AT3 antibody specificity?

Rigorous validation is critical for ensuring reliable AT3 antibody performance. Methodological approaches include:

  • Western blotting against purified AT3 and complex biological samples

  • Testing on AT3 knockdown/knockout samples as negative controls

  • Peptide competition assays to verify epitope specificity

  • Cross-reactivity testing against related serpins (e.g., alpha-1-antitrypsin)

  • Immunoprecipitation followed by mass spectrometry for target verification

  • Comparison of staining patterns using multiple antibodies targeting different AT3 epitopes

Systematic documentation of these validation steps ensures reproducible research outcomes and facilitates cross-study comparisons.

How can molecular reach measurements improve AT3 antibody experimental design?

Recent research has revealed that the molecular reach of antibodies significantly impacts their function, particularly for surface-bound antigens. For AT3 antibody experiments, understanding this parameter offers several advantages:

  • The molecular reach of IgG1 antibodies can extend to approximately 38 nm for protein antigens—significantly larger than the previously estimated ~16 nm for small antigens

  • This reach is determined by both antibody structure and antigen properties

  • Larger protein antigens allow for greater molecular reach compared to small model antigens

Experimental implications include:

  • More accurate prediction of bivalent binding potential

  • Better design of surface-based assays with appropriate antigen spacing

  • Improved interpretation of avidity effects in complex biological environments

  • Enhanced optimization of immunoassay sensitivity

Molecular dynamics simulations can predict theoretical reach distances, with coarse-grained steered MD simulations showing good agreement with experimental Surface Plasmon Resonance measurements .

What experimental approaches best characterize AT3 antibody binding kinetics?

Comprehensive characterization of AT3 antibody binding kinetics requires systematic methodological approaches:

  • Surface Plasmon Resonance (SPR):

    • Provides real-time, label-free measurements

    • Enables determination of association (ka) and dissociation (kd) rate constants

    • Requires careful consideration of antigen immobilization and regeneration conditions

    • Special models needed to account for bivalent binding effects

  • Bio-Layer Interferometry (BLI):

    • Alternative optical technique with simpler workflow

    • Well-suited for higher-throughput kinetic screening

    • Allows easy switching between different buffers during measurement

  • Isothermal Titration Calorimetry (ITC):

    • Solution-based method without immobilization requirements

    • Provides thermodynamic parameters (ΔH, ΔS) alongside affinity measurements

    • Requires larger sample quantities than optical methods

Critical experimental considerations include:

  • Buffer composition (pH, ionic strength, additives)

  • Temperature control for physiological relevance

  • Concentration range selection spanning well below and above expected KD

  • Appropriate mathematical models for data fitting

How should researchers design experiments to compare multiple AT3 antibody clones?

When comparing multiple AT3 antibody clones, robust experimental design includes:

Experimental ParameterMethodological Considerations
Epitope binningUse techniques like SPR or BLI to group antibodies by competing epitopes
Affinity rankingEmploy consistent conditions across all antibodies for fair comparison
Specificity assessmentTest against AT3 variants and related proteins to evaluate cross-reactivity
Functional evaluationMeasure inhibition of thrombin or factor Xa to assess functional blockade
Stability testingSubject all candidates to identical stress conditions (pH, temperature, freeze-thaw)
Format comparisonEvaluate performance in different formats (IgG, Fab, scFv) if applicable

Statistical analysis should include:

  • ANOVA with appropriate post-tests for multi-clone comparisons

  • Benjamini-Hochberg method for false discovery rate control in large-scale studies

  • Rank-based non-parametric tests when data do not follow normal distribution

What approaches can improve AT3 antibody affinity and stability?

Recent advances in antibody engineering offer powerful methods to enhance AT3 antibody performance:

  • Variable light-heavy chain interface optimization:

    • Deep mutational scanning identifies beneficial mutations that cluster at this interface

    • Computational approaches like Rosetta design can combine enhancing mutations

    • Automated tools such as AbLIFT design multipoint core mutations to improve contacts

  • Complementarity-determining region (CDR) optimization:

    • Targeted mutagenesis of CDR residues contacting AT3

    • Phage display selection for improved variants

    • Computational design guided by structural data

  • Framework engineering:

    • Humanization while preserving critical framework-CDR interactions

    • Introduction of stabilizing mutations at solvent-exposed positions

    • Disulfide engineering to enhance thermal stability

These optimization strategies have demonstrated remarkable improvements in multiple antibodies, including:

  • Tenfold higher affinity through combined mutations

  • Substantially improved stability against thermal and chemical denaturation

  • Enhanced expression yields in recombinant systems

How do different AT3 antibody formats affect experimental outcomes?

The selection of antibody format significantly impacts experimental performance:

Antibody FormatAdvantagesLimitationsResearch Applications
Full IgGBivalent binding, extended half-life, Fc effector functionsLarge size limits tissue penetrationImmunohistochemistry, Western blot, immunoprecipitation
Fab fragmentsMonovalent binding, smaller size, reduced non-specific bindingShorter half-life, no Fc functionsCo-crystallization, tissue penetration studies
F(ab')₂Bivalent binding, no Fc functionsStill relatively largeFlow cytometry, reduced background in some applications
scFvSmall size, good tissue penetration, recombinant productionLower stability, short half-lifeIntracellular applications, fusion proteins
NanobodiesExceptional stability, very small size, recognizes unique epitopesLimited commercial availabilityAccessing hidden epitopes, intracellular targeting

Format selection should consider:

  • Research objective (detection vs. functional modulation)

  • Sample type and accessibility of AT3 epitopes

  • Required valency for optimal sensitivity

  • Need for Fc-mediated functions or conjugation options

What methodological approaches enable robust AT3 antibody profiling in patient samples?

Longitudinal analysis of AT3 antibody responses in patient samples requires rigorous methodological approaches:

  • Sample collection and processing standardization:

    • Consistent collection tubes and anticoagulants

    • Standardized processing timeframes

    • Uniform storage conditions (-80°C for long-term)

    • Minimal freeze-thaw cycles

  • Statistical analysis strategies:

    • Linear mixed-effects models to detect changes over time

    • ANOVA with Tukey's post-test for multiple group comparisons

    • Rank-based Kruskal-Wallis procedure for non-parametric data

    • Benjamini-Hochberg method for false discovery rate control

  • Experimental design considerations:

    • Inclusion of longitudinal controls for assay normalization

    • Randomization of sample processing order

    • Blinding of analysts to clinical data during testing

    • Technical replicates to assess assay variability

  • Data integration approaches:

    • Correlation with clinical outcomes

    • Integration with other biomarker data

    • Gene ontology analysis for biological pathway insights

    • Machine learning for pattern recognition in complex datasets

These approaches have proven effective in characterizing antibody profiles in various clinical settings and can be adapted for AT3 antibody studies .

How can researchers distinguish between normal variation and clinically significant AT3 abnormalities?

Distinguishing normal variation from clinically significant AT3 abnormalities requires comprehensive analytical frameworks:

  • Reference range establishment:

    • Age and sex-stratified normal ranges

    • Analysis of variation across diverse populations

    • Assessment of biological variability within individuals over time

    • Correlation with AT3 activity measurements

  • Clinical correlation analysis:

    • Comparison with established thrombosis risk factors

    • Relationship to clinical events (DVT, pulmonary embolism)

    • Association with specific conditions (liver cirrhosis, nephrotic syndrome, DIC)

    • Evaluation in the context of other coagulation parameters

  • Analytical approaches:

    • Statistical process control techniques for longitudinal monitoring

    • ROC curve analysis to determine optimal clinical decision thresholds

    • Multivariate models incorporating multiple biomarkers

    • Nested case-control studies to identify predictive patterns

  • Molecular characterization:

    • Detection of AT3 variants or modifications associated with dysfunction

    • Correlation of antibody binding patterns with functional assays

    • Identification of AT3-complex formation in pathological conditions

What role do AT3 antibodies play in understanding and diagnosing thrombotic disorders?

AT3 antibodies serve critical functions in thrombosis research and diagnostics:

  • Mechanistic investigations:

    • Visualizing AT3 incorporation and localization in thrombi

    • Tracking AT3 conformational changes during inhibitory activity

    • Studying interactions between AT3 and coagulation factors

    • Assessing AT3 binding to endothelial surfaces

  • Diagnostic applications:

    • Quantitative immunoassays for AT3 levels in patient plasma

    • Detection of dysfunctional AT3 variants

    • Monitoring AT3 consumption in disseminated intravascular coagulation (DIC)

    • Assessment of inherited and acquired AT3 deficiencies

  • Research model systems:

    • Immunohistochemical analysis of thrombi from animal models

    • Intravital microscopy with fluorescently labeled AT3 antibodies

    • Microfluidic devices to study AT3 function under flow conditions

    • Cell-based assays for AT3 production and secretion

  • Therapeutic monitoring:

    • Tracking AT3 replacement therapy efficacy

    • Monitoring AT3 activity during anticoagulant treatment

    • Detecting AT3-drug complexes in novel anticoagulant approaches

These applications collectively advance understanding of thrombotic disorders and improve clinical management strategies.

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