Optimal dilutions vary by application and specific antibody. Based on compiled research data:
| Application | Recommended Dilution Range |
|---|---|
| Western Blot (WB) | 1:200-1:5000 (0.04-2 μg/ml) |
| Flow Cytometry (FCM) | 1:20-1:100 |
| Immunohistochemistry (IHC-P) | 1:50-1:400 (1-2.5 μg/ml) |
| Immunofluorescence (IF) | 1:50-1:200 (0.25-20 μg/ml) |
| Immunoprecipitation (IP) | 0.5-4.0 μg for 1-3 mg total protein |
Methodological approach: Antibody titration is essential for each new experimental system. Begin with the manufacturer's recommended range and perform a dilution series to determine optimal signal-to-noise ratio. For Western blots, include positive controls such as platelet lysates or transfected cells expressing TSPAN9 .
TSPAN9 typically appears at 27-33 kDa in reducing conditions, though the banding pattern can vary:
The observed molecular weight in human kidney tissue is approximately 27-30 kDa
In mouse spleen tissue, TSPAN9 has been detected at 29-33 kDa
This variation reflects post-translational modifications, particularly N-linked glycosylation. TSPAN9 has a single predicted N-glycosylation site, and treatment with N-glycosidase reduces multiple bands to a single species . In overexpression systems, multiple bands representing immature glycoforms may be observed .
TSPAN9 antibodies have been validated in various sample types:
| Sample Type | Validated Applications |
|---|---|
| Human lung carcinoma | IHC-P |
| Human spleen | IHC-P, IF |
| Mouse spleen | IHC-P, IP, WB |
| Human kidney | WB |
| Human U937 cells | Flow Cytometry |
| Mouse peripheral blood leukocytes | WB |
| Rat spleen | WB |
| EL4 cells (mouse lymphoma) | WB |
| Platelets/megakaryocytes | Various |
Methodological consideration: For optimal results in new sample types, perform validation using both positive controls (tissues known to express TSPAN9, such as platelets or spleen) and negative controls (antibody pre-absorbed with immunizing peptide) .
Multiple bands in TSPAN9 Western blots can result from glycosylation, sample preparation issues, or antibody cross-reactivity:
Glycosylation heterogeneity: Treat samples with N-glycosidase F to confirm glycosylation as the source of multiple bands. Research shows N-glycosidase treatment reduces multiple TSPAN9 bands to a single species .
Sample preparation:
Specificity verification:
Researchers studying TSPAN9 in platelets have successfully used non-reducing conditions with 1% Nonidet P40 and 1% dodecylmaltoside lysis buffer (to fully solubilize lipid rafts) for quantitative Western blotting .
For quantitative TSPAN9 expression analysis, researchers have established effective protocols:
Reference standard approach: Generate FLAG-tagged TSPAN9 reference standards by transiently transfecting HEK-293T cells, followed by lysis with combined 1% Nonidet P40 and 1% dodecylmaltoside buffer .
Calibration curve method: Prepare serial dilutions of reference standards alongside test samples, followed by Western blotting under non-reducing conditions.
Quantitative detection: Employ enhanced chemiluminescence (ECL) in combination with quantitative imaging systems like the GeneGnome system .
Data normalization: Express TSPAN9 levels relative to a standard tetraspanin (e.g., CD9) or housekeeping protein.
This approach has been successfully used to determine the relative expression levels of tetraspanins (including TSPAN9) in platelets, where CD9 expression was arbitrarily set to 100 and other tetraspanins were quantified in relation to this standard .
Successful co-immunoprecipitation of TSPAN9 and its interaction partners requires specialized approaches for membrane proteins:
Lysis conditions: Use mild detergents that preserve tetraspanin-enriched microdomains (TEMs):
IP protocol optimization:
Use freshly prepared lysates supplemented with protease inhibitors
Perform sonication followed by centrifugation (12,000 rpm for 1 min) to clear lysates
For FLAG-tagged TSPAN9, use anti-FLAG M2 agarose beads with 2-hour incubation at 4°C under constant agitation
Wash precipitates three times with PBS before elution with sample buffer
Validation controls:
Researchers have successfully used this approach to demonstrate TSPAN9 interaction with ITGB1/integrin β1 in U2OS cells using FLAG-tagged TSPAN9 constructs .
TSPAN9 appears to have context-dependent roles in cancer, requiring careful experimental design:
Contradictory roles: Studies show TSPAN9 can have opposing functions in different cancer types:
Recommended approaches:
Pathway analysis considerations:
Controls and validation:
For IHC studies, include both normal tissue and cancer tissue from the same organ
Validate antibody specificity in the specific cancer tissue being studied
Studying tetraspanin microdomains presents unique challenges due to their specialized membrane organization:
Sample preparation:
For platelets: Fix with 2% paraformaldehyde followed by permeabilization with 0.1% Triton X-100
For cultured cells: Mild fixation (2-4% paraformaldehyde) is preferred to preserve membrane integrity
Co-localization studies:
Include markers of tetraspanin-enriched microdomains (e.g., CD9, CD151)
Include TSPAN9 partners like GPVI and integrin α6β1 for platelet studies
Avoid harsh detergents that may disrupt microdomain organization
Antibody selection:
Imaging considerations:
Super-resolution microscopy techniques (STED, STORM) provide better resolution of tetraspanin microdomains than conventional confocal microscopy
Use appropriate controls to establish threshold settings and account for autofluorescence
Validation approaches:
Peptide competition assays with immunizing peptide
Comparison of staining pattern with published literature
Correlation with Western blot or flow cytometry results from the same samples
TSPAN9 contains a single predicted N-linked glycosylation site that affects its molecular weight and potentially its function:
Experimental approaches:
Functional analysis:
Assess the impact of glycosylation on TSPAN9 protein stability and half-life
Evaluate whether glycosylation affects TSPAN9 trafficking to the plasma membrane
Determine if glycosylation modulates TSPAN9's interactions with partner proteins
Analytical methods:
Use lectins in combination with TSPAN9 antibodies to characterize glycan structures
Employ glycoproteomics approaches to identify exact glycosylation sites and structures
Apply metabolic labeling with modified sugars to track newly synthesized TSPAN9 glycoforms
Research has shown that treatment of TSPAN9 immunoprecipitates with N-glycosidase reduces multiple bands to a single species, confirming the presence and impact of N-linked glycosylation .
TSPAN9's expression in platelets and its potential role in platelet function requires specialized methods:
Experimental design considerations:
Use both resting and activated platelets (various agonists: thrombin, collagen, ADP)
Analyze TSPAN9 distribution in platelet fractions (membrane, cytoskeletal, soluble)
Examine TSPAN9 redistribution during platelet activation and spreading
Functional approaches:
Employ blocking antibodies against extracellular domains to test functional effects
Combine with platelet aggregation and adhesion assays
Assess impact on platelet signaling pathways (e.g., GPVI-mediated signaling)
Advanced techniques:
Flow cytometry to quantify surface vs. total TSPAN9 in platelets
Live-cell imaging with fluorescently-tagged anti-TSPAN9 Fab fragments
Super-resolution microscopy to visualize TSPAN9 distribution in tetraspanin-enriched microdomains
Controls and validation:
Use platelets from other species as comparison (human vs. mouse)
Include other tetraspanins (CD9, CD151) as comparators
Correlate protein findings with TSPAN9 mRNA expression in megakaryocytes
Research has established that TSPAN9 is relatively highly expressed in the megakaryocyte/platelet lineage and co-localizes with collagen receptor GPVI (glycoprotein VI) and integrin α6β1 but not with von Willebrand receptor GPIbα or the integrins αIIbβ3 or α2β1 .
For studying TSPAN9's involvement in epithelial-mesenchymal transition (EMT) and metastasis:
Experimental approaches:
Compare TSPAN9 expression between primary tumors and metastatic lesions
Correlate TSPAN9 expression with EMT markers in cancer tissues
Assess changes in TSPAN9 expression during TGF-β-induced EMT in cell models
Mechanistic studies:
Combine TSPAN9 antibodies with antibodies against signaling molecules (FAK, ERK1/2)
Investigate TSPAN9's relationship with integrin β1 and its activation status
Follow TSPAN9 redistribution during cell migration and invasion
RNA-seq correlation:
Advanced analytics:
Use proximity ligation assays to study TSPAN9 interactions with EMT regulators
Apply phospho-specific antibodies to examine activation status of TSPAN9-associated signaling
Quantify protein levels in response to EMT inducers or inhibitors
Recent research has indicated that TSPAN9 can promote EMT and osteosarcoma metastasis, contrasting with its anti-oncogenic function in gastric cancer, highlighting the need for context-specific analysis .
When encountering signal problems with TSPAN9 antibodies:
Weak or no signal:
Increase antibody concentration incrementally (follow dilution ranges in section 1.1)
Extend primary antibody incubation time (overnight at 4°C)
Enhance signal detection methods (highly sensitive ECL reagents)
Confirm sample preparation preserves membrane proteins
Verify TSPAN9 expression in your sample type (check literature or databases)
High background or non-specific signals:
Inconsistent results:
Standardize protein extraction methods
Prepare fresh working solutions of antibody
Avoid repeated freeze-thaw cycles of antibodies
Establish positive controls (e.g., platelets, spleen tissue)
Consider lot-to-lot variation in antibodies
Researchers have successfully used antibody pre-absorption with immunizing peptide as a control to demonstrate specificity, as shown in Western blot analysis of TSPAN9 in EL4 cell lysate where signal was eliminated by peptide competition .
Application-specific optimization strategies:
Human Factor considerations: When transferring protocols between species or tissue types, validate antibody performance in the new system before proceeding with experimental work.