ADAM9 consists of a disintegrin domain (mediating cell adhesion) and a metalloprotease domain (facilitating ectodomain shedding of surface proteins). It is expressed in multiple tissues, including the epidermis, vascular endothelium, and immune cells, and is implicated in processes such as wound healing, inflammation, and tumor progression . The antibody targets the ectodomain of ADAM9, ensuring specificity for its extracellular regions .
The antibody is utilized in:
Western blotting (WB): Detects ADAM9 in lysates of human and mouse cell lines (e.g., HeLa, C2C12) at molecular weights of 80–115 kDa .
Immunoprecipitation (IP): Isolates ADAM9 for downstream analysis of protein-protein interactions .
Immunocytochemistry (ICC): Validates subcellular localization in cell lines .
Prognostic biomarker: Elevated ADAM9 expression correlates with poor prognosis in hepatocellular carcinoma (HCC) and increased immune infiltration .
Therapeutic monitoring: Serum ADAM9 mRNA levels enable non-invasive tracking of disease progression .
Antibody-drug conjugates (ADCs): IMGC936, a next-generation ADC targeting ADAM9, exhibits potent antitumor activity in preclinical models .
| Species | Reactivity |
|---|---|
| Human | Yes |
| Mouse | Yes |
| Rat | Yes |
| Monkey | Yes |
AF949 (R&D Systems) and AF939 (R&D Systems) antibodies show no signal in ADAM9 knockout HeLa cells, confirming specificity .
Protein array analysis scores antibodies as "Supported" or "Approved" based on interaction profiles .
ADAM9 (also known as MDC9 or Meltrin-γ) is a member of the ADAM family, which belongs to the zinc metalloprotease superfamily. ADAM9 contains multiple functional domains including a signal peptide, prodomain, metalloprotease domain, disintegrin domain, cysteine-rich domain, EGF-like domain, transmembrane domain, and cytoplasmic tail . It plays crucial roles in cell migration, proliferation, and invasion, making it a significant target in cancer research . ADAM9 is widely expressed in normal tissues but becomes overexpressed in multiple cancer types, including prostate cancer, pancreatic cancer, gastric cancer, and small cell lung cancer, where it has been linked to invasion and metastasis . This differential expression pattern makes ADAM9 particularly valuable as both a biomarker and therapeutic target.
ADAM9 antibodies can be designed to target different domains of the protein, each offering unique research applications:
Cytoplasmic domain antibodies: These recognize the intracellular portion of ADAM9 and are useful for studying signaling interactions. The cytoplasmic tail contains proline-rich sequences that can bind to SH3 domains of proteins like Src, functioning as SH3 ligand domains .
Ectodomain antibodies: These target the extracellular portion (Ala206-Asp697) and are valuable for studying ADAM9's interactions with extracellular substrates .
Metalloprotease domain antibodies: These focus on the catalytic region containing the zinc-binding motif HEXGHXXGXXHD, critical for ADAM9's proteolytic function .
Disintegrin and cysteine-rich domain antibodies: These target regions involved in cell adhesion through interactions with integrins .
To distinguish between ADAM9 isoforms:
Western blotting with domain-specific antibodies: ADAM9 exists in multiple forms, including a long membrane-bound form (ADAM9-L, ~100 kDa pro-form and ~80 kDa mature form) and an alternatively spliced shorter secreted form (~50 kDa) . Using appropriate antibodies that recognize specific domains allows differentiation between these isoforms.
Sample preparation considerations: Under reducing conditions in Western blots, you can detect bands at approximately 110 kDa (pro-ADAM9-L), 80 kDa (mature ADAM9-L), and 50 kDa (secreted ADAM9-S) depending on the cell type and antibody used .
Cell type selection: Different cell lines express varying levels of ADAM9 isoforms. For example, in Western blot analyses, HeLa cells show bands at 78 kDa and 110 kDa, while WI-38 human lung fibroblasts and U-87 MG glioblastoma cells show similar patterns but with potentially different intensities .
When selecting an ADAM9 antibody, consider:
Target domain specificity: Determine which domain of ADAM9 is relevant to your research question. For studying proteolytic activity, select antibodies targeting the metalloprotease domain. For cell signaling studies, cytoplasmic domain antibodies are more appropriate .
Species reactivity: Ensure the antibody recognizes ADAM9 from your experimental species. Some antibodies show cross-reactivity between human, mouse, rat, and monkey ADAM9, while others are species-specific .
Application compatibility: Verify the antibody has been validated for your specific application (Western blotting, immunoprecipitation, immunohistochemistry). For example, some antibodies work well at 1:1000 dilution for Western blots but may require different optimization for other techniques .
Isoform recognition: Determine if the antibody detects specific isoforms or all forms. Some antibodies detect both unprocessed pro-forms and active forms of ADAM9, while others are more selective .
Validation data: Look for antibodies with knockout validation data, as these provide the strongest evidence of specificity .
To validate ADAM9 antibody specificity:
Knockout cell line controls: Compare antibody reactivity between parental cells and ADAM9 knockout cells. As demonstrated with HeLa cells, specific ADAM9 bands should be detectable in parental lines but absent in knockout lines .
Peptide competition assays: Pre-incubate the antibody with the immunizing peptide before application to samples. Specific signals should be blocked or significantly reduced.
siRNA knockdown: Transfect cells with ADAM9-specific siRNA and confirm reduced signal intensity compared to non-targeting controls.
Multiple antibody approach: Use different antibodies targeting distinct epitopes of ADAM9 to confirm consistent results.
Recombinant protein controls: Include purified ADAM9 protein (full-length or domain-specific) as a positive control to verify antibody recognition.
Recognize multiple epitopes, providing stronger signals through cumulative binding
Offer greater tolerance to protein denaturation, making them suitable for various applications
Example: Rabbit polyclonal antibodies raised against GST-ADAM9-cytoplasmic tail
Particularly useful for detecting low-abundance ADAM9 in samples
May show batch-to-batch variation
Target single epitopes, offering higher specificity
Provide consistent results across experiments with minimal batch variation
More suitable for quantitative analyses where epitope accessibility is consistent
Better for distinguishing closely related family members (e.g., other ADAM proteins)
May have limited application range if the single epitope is compromised in certain techniques
Selection depends on your experimental needs: use polyclonals for maximum sensitivity or monoclonals for maximum specificity.
For optimal Western blotting with ADAM9 antibodies:
Sample preparation:
Antibody dilutions and incubations:
Expected bands:
Controls:
For effective immunohistochemical detection of ADAM9:
Tissue preparation:
Use 3-5 μm sections from formalin-fixed paraffin-embedded (FFPE) tissues
Perform heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0)
Antibody protocol:
Interpretation:
Controls:
To quantify ADAM9 expression:
Western blot densitometry:
qRT-PCR for mRNA expression:
Flow cytometry:
Use fluorescently labeled ADAM9 antibodies for cell surface expression
Analyze population shifts to determine expression levels
Particularly useful for heterogeneous populations
ELISA/Sandwich immunoassay:
ADAM9 antibodies enable several approaches for investigating cancer progression:
Tissue microarray analysis:
Screen ADAM9 expression across multiple patient samples simultaneously
Correlate expression with clinical parameters and patient outcomes
Assess differential expression between tumor and adjacent normal tissues
Example: In vestibular schwannoma, ADAM9 expression strongly correlates with functional impairment (r~1, p=0.01)
Functional studies with blocking antibodies:
Use domain-specific antibodies to inhibit ADAM9 functions
Assess effects on cancer cell migration, invasion, and proliferation
Compare with genetic knockout/knockdown approaches to validate findings
Isoform-specific investigations:
Signaling pathway analysis:
Investigate how ADAM9 interacts with other signaling molecules
Study phosphorylation status of the cytoplasmic tail
Examine how ADAM9 contributes to cancer cell adaptations under stress conditions, as ADAM9 overexpression is observed under oxidative stress with increased levels of reactive oxygen species
ADAM9 antibodies are central to developing targeted cancer therapies through:
Antibody-drug conjugates (ADCs):
ADCs targeting ADAM9 are being developed for clinical applications
Example: IMGC936 was an ADC targeting ADAM9 developed by ImmunoGen and MacroGenics
Although AbbVie terminated IMGC936 development in March 2024 due to unsatisfactory phase I results, MacroGenics continues advancing MGC028, another ADAM9-targeted ADC
Target validation strategies:
Antibodies help validate ADAM9 as a therapeutic target in various cancers
Confirm ADAM9 overexpression in target tissues versus normal tissues
Demonstrate functional relevance through antibody-mediated blocking studies
Companion diagnostics development:
ADAM9 antibodies can identify patients likely to respond to ADAM9-targeted therapies
Stratify patients based on ADAM9 expression levels or specific isoform patterns
Help monitor treatment response through sequential tissue or liquid biopsies
Combination therapy approaches:
Study how ADAM9 inhibition might synergize with other treatment modalities
Investigate resistance mechanisms to ADAM9-targeted therapies
Develop rational combination strategies based on pathway interactions
To investigate ADAM9 signaling cross-talk:
Co-immunoprecipitation (Co-IP):
Proximity ligation assay (PLA):
Visualize protein-protein interactions in situ
Combine ADAM9 antibodies with antibodies against potential interacting partners
Quantify interaction signals at subcellular resolution
Phospho-specific antibody approaches:
Chromatin immunoprecipitation (ChIP) sequencing:
Study transcriptional changes following ADAM9 modulation
Identify gene networks influenced by ADAM9 signaling
Connect ADAM9 to broader cellular programs in cancer cells
Common issues and solutions:
Multiple unexpected bands:
Weak or no signal:
Cause: Insufficient protein loading or antibody concentration
Solution: Increase protein amount (25-50 μg) or antibody concentration
Alternative: Try a more sensitive detection system (ECL Plus vs. standard ECL)
Inconsistent detection of isoforms:
Cause: Sample preparation affecting protein extraction or degradation
Solution: Include metalloprotease inhibitors in lysis buffer
Alternative: Compare results using antibodies targeting different domains
High background:
Cause: Insufficient blocking or washing
Solution: Optimize blocking (5% BSA often works better than milk for phospho-epitopes)
Alternative: Increase washing duration and detergent concentration
Size discrepancies:
Cause: Post-translational modifications affecting migration
Solution: Compare with recombinant protein controls
Alternative: Use glycosidase treatment to remove glycosylation and assess true protein size
To reduce non-specific binding in immunohistochemistry:
Optimization of antibody concentration:
Blocking procedures:
Use adequate blocking (3-5% normal serum from the same species as secondary antibody)
Consider dual blocking with both serum and BSA for challenging tissues
Add 0.1-0.3% Triton X-100 for better antibody penetration in thicker sections
Antigen retrieval optimization:
Compare different retrieval methods (heat-induced vs. enzymatic)
Test different pH conditions (citrate buffer pH 6.0 vs. EDTA buffer pH 9.0)
Adjust retrieval time to balance epitope exposure and tissue preservation
Controls and countervalidation:
Use ADAM9-negative tissues as negative controls
Perform peptide competition assays to confirm specificity
Compare staining patterns with in situ hybridization for ADAM9 mRNA
Signal amplification system selection:
Choose appropriate detection systems based on expression levels
For low expression, consider tyramide signal amplification
For co-localization studies, use fluorescent secondary antibodies with minimal spectral overlap
For optimal co-immunoprecipitation:
Lysis buffer optimization:
Use mild, non-denaturing buffers (e.g., NP-40 or Triton X-100 based)
Include appropriate protease and phosphatase inhibitors
Adjust salt concentration (150-300mM NaCl) to balance specificity and interaction strength
Antibody selection and conjugation:
Bead selection and pre-clearing:
Magnetic beads often provide better recovery than agarose
Pre-clear lysates with protein A/G beads to reduce non-specific binding
Use control IgG from the same species as your primary antibody
Cross-linking strategies:
Consider reversible cross-linking to stabilize transient interactions
DSP (dithiobis[succinimidyl propionate]) preserves complexes while allowing release during elution
Elution and detection optimization:
Use gentle elution conditions to preserve interactions
For Western blot detection, use HRP-conjugated protein A/G or light chain-specific secondary antibodies
For mass spectrometry, consider on-bead digestion to minimize contamination
Emerging technologies for ADAM9 research:
Single-domain antibodies (nanobodies):
Smaller size allows access to cryptic epitopes in ADAM9
Better tissue penetration for in vivo imaging
Potential for intracellular delivery to block ADAM9 function
BiTE (Bispecific T-cell Engager) antibodies:
Antibody fragments for super-resolution microscopy:
Smaller probes improve resolution in imaging studies
Allow detailed subcellular localization of ADAM9
Enable real-time tracking of ADAM9 dynamics in live cells
Activatable antibody conjugates:
Major challenges include:
Designing preclinical experiments:
Target validation studies:
Compare ADAM9 expression in patient-derived xenografts versus normal tissues
Correlate expression with tumor aggressiveness and treatment response
Identify optimal patient populations for ADAM9-targeted therapy
Antibody functional characterization:
Test antibodies for their ability to block ADAM9 proteolytic activity
Assess effects on cancer cell phenotypes (migration, invasion, etc.)
Determine mechanism of action (blocking protein interactions, inducing internalization, etc.)
In vivo efficacy studies:
Evaluate tumor growth inhibition in xenograft models
Assess metastasis prevention in appropriate models
Study pharmacokinetics and biodistribution using labeled antibodies
Combination therapy approaches:
Test ADAM9 antibodies with standard chemotherapies
Evaluate synergy with targeted therapies (e.g., tyrosine kinase inhibitors)
Investigate combinations with immune checkpoint inhibitors
Toxicity and safety assessment:
Evaluate on-target/off-tumor effects given ADAM9's wide expression
Assess immune-related adverse events with therapeutic antibodies
Determine appropriate dosing schedules to balance efficacy and safety
By systematically addressing these aspects, researchers can advance ADAM9 antibodies from bench to bedside, potentially developing new therapeutic options for cancers with ADAM9 overexpression.