ADAMTS4 antibodies are widely used in:
ADAMTS4 cleaves amyloid precursor protein (APP) to generate neurotoxic peptides like APP669-711, implicated in Alzheimer’s pathology .
Knockout models show a 30–40% reduction in APP669-711 production, suggesting therapeutic targeting potential .
ADAMTS4 is upregulated in myocardial infarction and aortic aneurysms, promoting ECM degradation and TGF-β signaling .
Inhibition reduces fibrosis markers (Collagen-III, α-SMA) and periostin expression in cardiac fibroblasts .
ADAMTS4 cleaves versican in the amniotic membrane, weakening fetal membranes during labor .
Elevated ADAMTS4 correlates with preterm birth risk in preclinical models .
Osteoarthritis: ADAMTS4 degrades aggrecan in cartilage, driving joint degeneration. Antibodies help evaluate TIMP-3-based inhibitors .
Biomarker Potential: ADAMTS4-specific probes enable non-invasive MRI detection of aortic aneurysm rupture risk .
Applications : Immunohistochemical analysis
Sample type: Mouse Tissues
Review: (A-D) Immunohistochemical staining of Aggrecan (A), ADAMTS-4 (B), ADAMTS-7 (C), MMP-19 (D) expressions in articular cartilage. (E-H) The relative optical density of positive staining in A-D. ADAMTS, A disintegrin and metalloproteinase with thrombospondin motifs; MMP-19, Matrix metalloproteinase-19. Black arrowhead, positive staining of Aggrecanases in articular cartilage. Data are expressed as mean ± SD. *P < 0.05, **P < 0.01. n = 5. Scale bar = 50 μm.
ADAMTS4 (a disintegrin and metalloproteinase with thrombospondin motifs 4), also known as aggrecanase-1, belongs to the ADAMTS family of extracellular metalloproteinases. This enzyme plays crucial roles in matrix degradation, blood coagulation, and angiogenesis. The ADAMTS family comprises 19 enzymes and 7 ADAMTS-like proteins, with ADAMTS4 functioning as a well-characterized proteoglycanase . It is particularly significant in research because it cleaves aggrecan, a major cartilage proteoglycan, at the '392-Glu-|-Ala-393' site and may be involved in its turnover . ADAMTS4 has been implicated in the pathogenesis of arthritic diseases through its role in cartilage degradation . Additionally, emerging research suggests it could be a critical factor in the exacerbation of neurodegeneration in Alzheimer's disease .
ADAMTS4 antibodies can be utilized in multiple experimental applications, including:
When selecting an application, researchers should consider that some antibodies may be optimized for specific techniques, and validation in your experimental system is recommended .
ADAMTS4 antibodies should typically be stored at -20°C for optimal longevity. Most commercial preparations remain stable for at least one year after shipment if properly stored . The antibodies are commonly provided in buffers containing stabilizing agents:
For antibodies in smaller volumes (e.g., 20µl), preparations may contain 0.1% BSA as a stabilizer . Aliquoting is generally unnecessary for -20°C storage, but repeated freeze-thaw cycles should be avoided to maintain antibody integrity . When handling these antibodies, researchers should be aware that some preparations contain sodium azide, which is toxic and should be disposed of according to appropriate laboratory safety protocols.
Proper validation of ADAMTS4 antibodies is essential before conducting significant research. Consider these methodological steps:
Specificity testing: Verify lack of cross-reactivity with other ADAMTS family members. Some antibodies, like PA1-1749A, are specifically designed to avoid cross-reactivity with other ADAMTS proteins , while others may have potential cross-reactivity (e.g., bs-4191R shows potential cross-reactivity with ADAMTS1 due to 73% sequence similarity in the epitope region) .
Positive control selection: Use appropriate positive controls, such as:
Antibody titration: Determine optimal working concentrations by testing multiple dilutions in your specific experimental system rather than relying solely on manufacturer recommendations .
Knockout/knockdown validation: When possible, include negative controls using ADAMTS4 knockout or knockdown samples to confirm antibody specificity.
Multiple antibody comparison: Consider using antibodies that recognize different epitopes of ADAMTS4 to validate your findings.
For optimal ADAMTS4 detection in tissue sections, researchers should consider the following methodological approach:
Tissue preparation:
Antigen retrieval:
Antibody incubation:
Signal detection and analysis:
Controls and thresholds:
ADAMTS4 undergoes extensive post-translational processing, resulting in multiple proteolytic fragments that can be detected by Western blot. To comprehensively analyze these fragments:
Sample preparation:
Gel selection and separation:
Use gradient gels (e.g., 4-12%) to effectively separate proteins across the ~30-90 kDa range
Longer running times may be necessary to achieve optimal separation of closely sized fragments
Target identification:
Primary ADAMTS4 bands typically appear at approximately 68 kDa, 53 kDa, and 30 kDa, representing the full-length protein and its major proteolytic fragments
Depending on the extent of C-terminal processing, several smaller bands may also be visible
Consider using antibodies that recognize different epitopes to capture all relevant fragments
Complementary approaches:
Optimization:
ADAMTS4 (aggrecanase-1) plays a significant role in cartilage degradation during osteoarthritis, making it an important research target for disease progression monitoring and therapeutic development. Advanced methodological approaches include:
Characterizing ADAMTS4 activity in disease models:
Use specific antibodies to monitor ADAMTS4 expression levels in articular cartilage samples from osteoarthritis patients versus controls
Correlate ADAMTS4 expression with disease severity and clinical parameters
Examine co-localization with aggrecan fragments bearing the NITEGE neoepitope (indicating ADAMTS-mediated cleavage)
Therapeutic neutralization studies:
Evaluate neutralizing antibodies that target both ADAMTS4 and its close relative ADAMTS5 (aggrecanase-2)
Screen antibodies for their ability to inhibit aggrecanase activity without cross-reacting with other metalloproteinases of the ADAMTS, ADAM, and MMP families
Assess the capacity of candidate antibodies to suppress aggrecanase activity in interleukin-1-stimulated osteoarthritic chondrocytes
Mechanistic investigations:
Use domain-specific antibodies to determine which structural domains are essential for ADAMTS4 activity in cartilage
Investigate post-translational modifications and their impact on ADAMTS4 function
Examine the interaction between ADAMTS4 and tissue inhibitors or activators
Translational approaches:
Develop and validate biomarker assays using ADAMTS4 antibodies to monitor treatment response
Investigate the relationship between ADAMTS4 levels in synovial fluid or circulation and disease progression
Explore dual inhibition of ADAMTS4 and ADAMTS5 as a potential therapeutic strategy for osteoarthritis
Recent research suggests ADAMTS4 may play a role in neurological conditions, particularly Alzheimer's disease . Advanced methodological approaches for investigating this connection include:
Tissue-specific expression analysis:
Utilize immunohistochemistry to map ADAMTS4 expression patterns in different brain regions, with particular attention to areas affected in neurodegeneration
Compare ADAMTS4 levels in neural tissues from patients with Alzheimer's disease versus age-matched controls
Examine co-localization with amyloid plaques, neurofibrillary tangles, and inflammatory markers
Functional studies in neural models:
Employ ADAMTS4 antibodies in primary neural cell cultures or brain organoids to investigate the effects of ADAMTS4 inhibition on proteoglycan turnover
Use neutralizing antibodies to block ADAMTS4 function in relevant experimental models of neurodegeneration
Investigate changes in synaptic function and neuronal survival in response to ADAMTS4 modulation
Substrate identification:
Use co-immunoprecipitation with ADAMTS4 antibodies followed by mass spectrometry to identify novel neural substrates
Validate substrate cleavage using in vitro assays and generate neoepitope antibodies to detect specific cleavage products in vivo
Investigate the relationship between ADAMTS4 activity and the metabolism of key proteins implicated in neurodegeneration
Mechanistic pathways:
Study the regulation of ADAMTS4 expression in response to inflammatory mediators relevant to neurological disorders
Investigate potential interactions between ADAMTS4 and components of the blood-brain barrier
Examine how ADAMTS4-mediated extracellular matrix remodeling might influence neural plasticity and regeneration
The ADAMTS family comprises 19 enzymes with structural similarities, creating challenges for specific detection . Advanced approaches for ensuring ADAMTS4 specificity include:
Epitope selection and antibody screening:
Choose antibodies raised against unique regions of ADAMTS4 with minimal sequence homology to other family members
Be aware of potential cross-reactivity issues, such as between ADAMTS4 and ADAMTS1 (which may share 73% sequence similarity in some epitope regions)
Validate specificity using recombinant proteins for multiple ADAMTS family members
Combined antibody approaches:
Utilize antibodies targeting different domains of ADAMTS4 to increase confidence in identification
Consider using a combination of monoclonal and polyclonal antibodies for confirmation
Some commercial antibodies, like PA1-1749A, have been specifically validated for lack of cross-reactivity with other ADAMTS family members
Activity-based discrimination:
Develop functional assays that distinguish ADAMTS4 from related enzymes based on substrate specificity
Combine with neutralizing antibodies to confirm the contribution of ADAMTS4 versus other family members
Incorporate specific inhibitors alongside antibody detection to validate results
Molecular approaches:
Use genetic knockdown or knockout systems to validate antibody specificity
Consider advanced techniques like proximity ligation assays to confirm specific ADAMTS4 detection
Employ mass spectrometry following immunoprecipitation to unambiguously identify ADAMTS4 and distinguish it from related proteins
ADAMTS4 expression and detectability can vary considerably across tissues, potentially leading to inconsistent results. Methodological approaches to address this challenge include:
Tissue-specific optimization:
Adjust fixation protocols based on tissue type (different tissues may require modified fixation times or conditions)
Optimize antigen retrieval methods for specific tissues (e.g., TE buffer pH 9.0 versus citrate buffer pH 6.0)
Consider tissue-specific positive controls (e.g., mouse brain tissue for Western blot, human liver or colon cancer tissue for IHC)
Antibody selection considerations:
Different antibodies may perform optimally in specific tissues
For challenging tissues, consider testing multiple antibodies targeting different ADAMTS4 epitopes
Be aware that some tissues may express different ADAMTS4 isoforms or processed forms that affect antibody recognition
Signal amplification strategies:
For tissues with low ADAMTS4 expression, implement signal amplification systems such as tyramide signal amplification
Consider more sensitive detection systems for Western blotting (e.g., enhanced chemiluminescence substrates)
Employ primary antibody signal amplifiers like Rabbit Linker systems for IHC applications
Compartmentalized analysis approach:
Analyze ADAMTS4 expression separately in different tissue compartments
In kidney tissue, for example, examine interstitial (peritubular capillaries, interstitial stroma), glomerular (glomerular capillaries, Bowman space), and tubular (proximal and distal) compartments independently
Define clear positivity thresholds (e.g., >1% of observed area showing staining)
ADAMTS4 may be present at low levels in certain tissues or experimental conditions, presenting detection challenges. Consider these methodological approaches:
Sample preparation enhancements:
Implement protein concentration techniques (e.g., immunoprecipitation) before Western blot analysis
Use protease inhibitor cocktails to prevent degradation during sample processing
Consider subcellular fractionation to enrich for secreted proteins including ADAMTS4
Optimized antibody protocols:
Increase primary antibody concentration while carefully monitoring background
Extend primary antibody incubation time (e.g., overnight at 4°C)
Utilize higher sensitivity detection systems (e.g., SuperSignal™ or similar enhanced chemiluminescent substrates)
Signal amplification methods:
Alternative detection platforms:
For quantitative analysis of low-abundance ADAMTS4, consider using ultrasensitive ELISA techniques
Explore digital ELISA platforms or other single-molecule detection methods
Consider mass spectrometry-based approaches for detection and quantification
ADAMTS4 undergoes extensive proteolytic processing, resulting in multiple protein bands during Western blot analysis. To interpret these complex patterns correctly:
Understanding the expected pattern:
ADAMTS4 typically appears as multiple bands around 68 kDa, 53 kDa, and 30 kDa, representing the full-length protein and its proteolytic fragments
Additional smaller bands may appear depending on the extent of C-terminal processing
The pattern of bands can provide information about post-translational processing in your experimental system
Distinguishing specific from non-specific binding:
Advanced validation approaches:
Confirm band identity through immunoprecipitation followed by mass spectrometry
Use ADAMTS4 knockout/knockdown controls to identify which bands disappear
Consider treating samples with recombinant ADAMTS4 to generate a comparison pattern of proteolytic fragments
Quantification considerations:
When quantifying ADAMTS4 levels, determine whether to measure a specific band or sum multiple bands
Be consistent in your quantification approach across experimental conditions
Consider the biological significance of shifts in the ratio between different bands (which may indicate altered processing)
Recent research points to ADAMTS4 as a potential biomarker in several pathological conditions, including osteoarthritis and neurological disorders. Methodological considerations for biomarker development include:
Biological fluid analysis:
Investigate ADAMTS4 levels in accessible biofluids (serum, plasma, synovial fluid, cerebrospinal fluid)
Correlate ADAMTS4 levels with disease severity and progression
Develop standardized ELISA protocols using validated ADAMTS4 antibodies for reliable quantification
Tissue-based diagnostic approaches:
Establish standardized immunohistochemistry scoring systems for ADAMTS4 in disease-relevant tissues
Evaluate whether ADAMTS4 expression patterns correlate with clinical outcomes
Consider combining ADAMTS4 with other markers for improved diagnostic accuracy
Target validation strategies:
Confirm the relationship between ADAMTS4 levels and disease mechanisms through interventional studies
Investigate whether changes in ADAMTS4 levels precede clinical manifestations, suggesting prognostic value
Determine whether ADAMTS4 levels respond to therapeutic interventions, indicating potential as a treatment response marker
Technical assay development:
Optimize antibody pairs for sandwich ELISA development
Validate assay performance characteristics (sensitivity, specificity, reproducibility)
Consider automated platforms for high-throughput clinical applications
ADAMTS4 operates at the intersection of inflammation and matrix remodeling. Advanced research strategies include:
Co-localization studies:
Use dual immunostaining to examine spatial relationships between ADAMTS4 and inflammatory mediators
Investigate co-expression with cytokines, chemokines, and their receptors in disease tissues
Analyze the relationship between ADAMTS4 expression and inflammatory cell infiltration
Functional interaction analysis:
Employ ADAMTS4 antibodies in combination with neutralizing antibodies against key inflammatory mediators
Investigate how modulating inflammatory pathways affects ADAMTS4 expression and activity
Examine feedback mechanisms whereby ADAMTS4-mediated matrix degradation influences inflammatory responses
Signaling pathway investigations:
Use phospho-specific antibodies alongside ADAMTS4 detection to map activated signaling pathways
Determine how inflammatory stimuli regulate ADAMTS4 transcription, translation, and post-translational modifications
Investigate whether ADAMTS4-generated matrix fragments act as damage-associated molecular patterns (DAMPs) that propagate inflammation
Therapeutic implications:
Explore the potential of dual targeting strategies addressing both inflammation and ADAMTS4 activity
Assess whether ADAMTS4 inhibition modifies inflammatory responses in preclinical models
Investigate temporal relationships between inflammatory events and ADAMTS4 upregulation to identify optimal intervention windows
When different ADAMTS4 antibodies produce inconsistent results, employ these methodological approaches:
Epitope mapping analysis:
Compare the epitopes recognized by different antibodies to understand potential reasons for discrepancies
Consider whether antibodies target domains that may be lost during proteolytic processing
Evaluate whether post-translational modifications might affect epitope accessibility
Validation through orthogonal techniques:
Confirm antibody findings using non-antibody-based methods (e.g., mRNA expression analysis)
Consider activity-based assays to confirm functional ADAMTS4 presence
Implement genetic approaches (siRNA knockdown, CRISPR knockout) to validate antibody specificity
Technical factor assessment:
Systematically evaluate whether methodological differences (fixation, antigen retrieval, detection systems) account for discrepancies
Test antibodies side-by-side under identical conditions
Investigate whether differences relate to antibody format (monoclonal vs. polyclonal) or host species
Biological interpretation:
Consider whether discrepancies reflect detection of different ADAMTS4 isoforms or processed forms
Evaluate tissue-specific or context-dependent post-translational modifications
Assess whether conflicting results might actually reveal novel aspects of ADAMTS4 biology
Accurate quantification of ADAMTS4 requires careful methodological attention:
Standardization approaches:
Develop consistent protocols for sample collection, processing, and analysis
Include calibration standards and quality controls in each experimental run
Normalize ADAMTS4 measurements to appropriate housekeeping proteins or reference genes
Dynamic range considerations:
Ensure detection methods can accurately measure across the full range of expected ADAMTS4 expression
When using immunohistochemistry, establish clear scoring criteria (e.g., positive staining defined as >1% of observed area)
For quantitative Western blot, ensure linearity of signal across the concentration range of interest
Multi-compartment analysis:
Statistical approaches:
Emerging technologies offer promising avenues for improved ADAMTS4 detection:
Advanced antibody engineering:
Develop recombinant antibodies with enhanced specificity for ADAMTS4
Create conformation-specific antibodies that distinguish active from inactive ADAMTS4
Engineer bispecific antibodies that simultaneously recognize two distinct ADAMTS4 epitopes for improved specificity
Activity-based probes:
Design chemical probes that covalently bind to the active site of ADAMTS4
Develop FRET-based biosensors that report on ADAMTS4 enzymatic activity in real-time
Create activity-based nanoparticles for in vivo imaging of ADAMTS4 function
Single-cell technologies:
Apply mass cytometry (CyTOF) with metal-conjugated ADAMTS4 antibodies for high-dimensional analysis
Develop spatial transcriptomics approaches that correlate ADAMTS4 protein expression with its transcriptional landscape
Implement imaging mass spectrometry to map ADAMTS4 distribution with subcellular resolution
Computational approaches:
Apply machine learning algorithms to analyze complex ADAMTS4 expression patterns
Develop predictive models that integrate multiple data types (transcriptomic, proteomic, clinical)
Create network analysis tools to understand ADAMTS4 in the context of broader biological systems
ADAMTS4 may play distinct roles in different tissues and pathological conditions. Advanced research strategies include:
Comparative tissue analysis:
Systematically compare ADAMTS4 expression patterns across multiple tissue types in health and disease
Investigate tissue-specific post-translational modifications that might alter ADAMTS4 function
Examine whether ADAMTS4 associates with different binding partners in various tissue microenvironments
Disease progression mapping:
Track changes in ADAMTS4 expression, localization, and processing across disease stages
Correlate ADAMTS4 patterns with tissue-specific pathological changes
Investigate whether ADAMTS4 plays different roles at initiation versus progression phases of disease
Substrate landscape exploration:
Use proteomics approaches to identify tissue-specific ADAMTS4 substrates
Develop neoepitope antibodies that detect specific ADAMTS4 cleavage products in different tissues
Compare the efficiency of ADAMTS4-mediated proteolysis across tissue types
Regulatory mechanism investigation:
Examine tissue-specific transcriptional and post-transcriptional regulation of ADAMTS4
Investigate whether environmental factors differently modulate ADAMTS4 in various tissues
Explore epigenetic mechanisms that might contribute to tissue-specific ADAMTS4 expression patterns