The ATS3 antibody targets A Disintegrin and Metalloproteinase with Thrombospondin Motifs 3 (ADAMTS3), a metalloproteinase critical for extracellular matrix remodeling. This enzyme cleaves the propeptides of type II collagen, enabling proper fibril assembly during tissue development . The antibody is a research-grade tool designed for detecting endogenous ADAMTS3 in human, rat, and mouse samples, with applications in Western blot (WB) and other molecular techniques .
Anti-ADAMTS3 Antibody (STJ194571) exhibits the following properties :
Parameter | Specification |
---|---|
Host | Rabbit |
Clonality | Polyclonal |
Applications | Western Blot (1:500–2,000 dilution) |
Reactivity | Human, Rat, Mouse |
Immunogen | Synthetic peptide (600–650 aa) from human ADAMTS3 |
Concentration | 1 mg/mL |
Storage | -20°C; avoid freeze-thaw cycles |
Specificity | Detects endogenous ADAMTS3 in human samples |
The antibody was generated using a synthesized peptide corresponding to residues 600–650 of human ADAMTS3. This region lies within the thrombospondin type-1 (TSP1) repeat domain, which is critical for substrate recognition and proteolytic activity . Post-translational modifications in this region include:
ADAMTS3 plays a pivotal role in collagen processing and extracellular matrix stability :
Primary Function: Cleaves the propeptides of type II collagen (COL2A1), enabling fibril assembly .
Pathway Involvement: Facilitates the maturation of procollagen II, a critical step in cartilage and connective tissue formation .
Dysregulation Implications: Mutations in ADAMTS3 are linked to connective tissue disorders and developmental anomalies .
Sample Preparation: Use human cell lysates or tissue homogenates.
Detection: Compatible with chemiluminescent or fluorescent secondary antibodies.
While the STJ194571 antibody is specific for ADAMTS3, other "ATS3" references in literature include:
Botulinum Antitoxin ATS-3: An F(ab')₂ fragment from hyperimmunized horses, used as a positive control in neutralizing botulinum neurotoxin/A (BoNT/A) . This is distinct from the ADAMTS3-targeting antibody and serves a different research purpose.
Neutralizing Antibodies: Bispecific antibodies like LUZ-A1-A3 (targeting botulinum toxin) highlight the utility of antibody engineering, though unrelated to ADAMTS3 .
ADAMTS3 is a metalloproteinase with thrombospondin motifs that plays significant roles in extracellular matrix remodeling. Its primary function is cleaving the propeptides of type II collagen prior to fibril assembly, which is essential for proper collagen fibril formation. Unlike some related proteases, ADAMTS3 demonstrates specificity by not acting on types I and III collagens . Understanding this specificity is critical when designing experiments to study collagen processing pathways or when using ADAMTS3 as a target in experimental interventions.
Currently, researchers can access several types of ADAMTS3 antibodies, including rabbit polyclonal antibodies targeting specific amino acid regions, such as the 600-650 amino acid region . These antibodies are generally validated for Western Blot applications and show reactivity across human, rat, and mouse samples . There are also ELISA kits available for quantitative detection of ADAMTS3 with detection ranges typically between 0.5-10 ng/mL and sensitivity around 0.1 ng/mL . When selecting an antibody, researchers should consider the specific epitope region and whether it corresponds to functional domains of interest in their research.
ADAMTS3 undergoes extensive post-translational modifications that may affect antibody recognition. These include:
Proteolytic cleavage by furin endopeptidase, which processes the precursor form
O-fucosylation by POFUT2 on serine or threonine residues within the consensus sequence of TSP type-1 repeat domains
Potential C-glycosylation with mannose molecules on tryptophan residues
These modifications can impact antibody accessibility to epitopes and may vary across different cell types or experimental conditions. When inconsistent results occur, researchers should consider whether differences in post-translational modifications might be responsible.
For optimal Western blot detection of ADAMTS3, researchers should:
Use antibody dilutions in the range of 1:500-1:2000 as recommended for most ADAMTS3 antibodies
Consider protein extraction methods that preserve the native conformation of ADAMTS3, particularly if targeting conformational epitopes
Be aware that ADAMTS3 has a high molecular weight (~120 kDa for the full-length protein), requiring appropriate gel concentrations for proper separation
Include proper positive controls from tissues known to express ADAMTS3 (e.g., cartilage, developing connective tissues)
Account for different molecular weight bands that may appear due to proteolytic processing, as ADAMTS3 undergoes furin-mediated cleavage
Optimization may be required for each specific tissue or cell type due to variability in ADAMTS3 expression levels and processing.
When using ELISA kits for ADAMTS3 quantification, researchers should:
Be aware of the detection range (typically 0.5-10 ng/mL) and sensitivity (approximately 0.1 ng/mL) of commercial kits
Prepare appropriate sample dilutions to ensure measurements fall within the standard curve
Consider sample type compatibility, as most kits are validated for cell culture supernatant, plasma, serum, and tissue homogenate
Recognize potential cross-reactivity issues, especially when working with complex biological samples
Include proper calibration standards and controls to ensure assay validity
For competition ELISA formats, understanding the competitive binding mechanism is crucial for correct data interpretation, especially when analyzing samples with potential interfering substances.
While some ADAMTS3 antibodies are validated for immunohistochemistry, researchers should consider:
Optimizing fixation protocols to preserve ADAMTS3 epitopes while maintaining tissue morphology
Testing multiple antigen retrieval methods, as some epitopes may be masked by fixation
Using appropriate blocking agents to reduce background staining, particularly in tissues with high extracellular matrix content
Employing proper controls, including tissues known to be negative for ADAMTS3 expression
Considering dual immunostaining with markers of extracellular matrix components to study colocalization
Since ADAMTS3 functions in the extracellular space and processes collagens, correlating its localization with ECM structures can provide valuable insights into its functional roles in specific tissues.
Non-specific binding is a common challenge when using antibodies against ADAMTS3. Potential causes include:
Cross-reactivity with other ADAMTS family members due to conserved domains
Binding to glycosylated proteins in samples, as ADAMTS3 shares similar post-translational modifications with many secreted proteins
Insufficient blocking or inappropriate blocking agents in immunoassays
Sample preparation methods that may expose epitopes normally hidden in native proteins
To minimize non-specific binding, researchers should:
Validate antibody specificity using positive and negative controls
Optimize blocking conditions (type of blocking agent, concentration, and incubation time)
Consider pre-adsorption of antibodies with recombinant proteins from related ADAMTS family members
Use secondary antibodies that minimize cross-species reactivity
Inconsistent detection across sample types may result from:
Variable expression levels of ADAMTS3 in different tissues or cell types
Differences in post-translational modifications affecting epitope recognition
Matrix effects in complex biological samples interfering with antibody binding
Different sample preparation methods affecting protein conformation or epitope accessibility
Researchers can address these challenges by:
Standardizing sample preparation protocols across experiments
Using multiple antibodies targeting different ADAMTS3 epitopes to confirm results
Adjusting antibody concentrations based on the specific sample type
Including appropriate extraction controls to normalize for sample-to-sample variability
Considering alternative detection methods to complement antibody-based approaches
To study ADAMTS3's role in collagen processing, researchers can:
Use antibodies in immunoprecipitation followed by activity assays to assess ADAMTS3 enzymatic function in different physiological contexts
Combine ADAMTS3 antibodies with antibodies against processed and unprocessed forms of type II collagen to monitor processing efficiency
Employ proximity ligation assays to detect in situ interactions between ADAMTS3 and its collagen substrates
Design pulse-chase experiments with immunoprecipitation to track the kinetics of collagen processing
Use ADAMTS3 antibodies in conjunction with inhibitors to validate specificity of proteolytic events observed in experimental systems
These approaches can help elucidate the temporal and spatial aspects of ADAMTS3's role in collagen maturation and tissue development .
When studying disease models, researchers should consider:
Whether disease-associated mutations or polymorphisms in ADAMTS3 affect antibody recognition
How pathological conditions might alter ADAMTS3 expression, localization, or post-translational modifications
The potential for altered proteolytic processing of ADAMTS3 in disease states
Whether to use multiple antibodies targeting different epitopes to comprehensively characterize ADAMTS3 involvement
The importance of appropriate controls, including both healthy tissues and disease models with known ADAMTS3-related abnormalities
These considerations are particularly relevant for studies involving connective tissue disorders, developmental abnormalities, or conditions with altered extracellular matrix remodeling.
When faced with contradictory results, researchers should:
Compare the specific epitopes targeted by each antibody and their relationship to functional domains
Consider whether post-translational modifications might differentially affect epitope accessibility
Evaluate the validation data for each antibody, including specificity tests and applications for which they were validated
Assess whether different detection methods (e.g., Western blot vs. immunohistochemistry) might explain discrepancies
Implement orthogonal techniques that don't rely on antibodies, such as mass spectrometry or functional assays, to resolve contradictions
Contradictory results might actually provide valuable insights into different functional states or processing forms of ADAMTS3 in various biological contexts .
Recent advances in AI-based antibody design offer promising approaches for ADAMTS3 research:
AI algorithms can predict optimal epitopes for generating highly specific ADAMTS3 antibodies, particularly for challenging regions
Machine learning models trained on existing antibody-antigen interaction data can help design antibodies with improved affinity and specificity
AI can bypass traditional experimental approaches by mimicking natural antibody generation processes while improving efficiency
Computational approaches might predict how post-translational modifications affect antibody binding to ADAMTS3
AI-guided epitope mapping could identify previously unrecognized functional domains in ADAMTS3
These approaches build on emerging AI technologies for antibody design that have been validated for other targets such as SARS-CoV-2 .
The development of function-blocking antibodies against ADAMTS3 presents both opportunities and challenges:
Secretion blockade mechanisms observed with antibodies against bacterial secretion systems might be adapted to develop antibodies that physically block ADAMTS3's catalytic activity
Antibodies targeting specific domains required for substrate recognition could provide more selective inhibition than small molecule approaches
Researchers would need to carefully map the epitopes required for ADAMTS3 function to design effective blocking antibodies
Challenges include potential immunogenicity and the development of anti-drug antibodies (ADAs) if such antibodies were to be developed for therapeutic applications
Function-blocking antibodies could serve as valuable research tools even if not developed as therapeutics
The lessons learned from antibodies targeting bacterial type III secretion systems, where antibodies create physical barriers preventing proper function, could inform strategies for developing function-blocking ADAMTS3 antibodies .