Applications : IHC
Sample type: Mouse Lung tissue
Review: Representative photomicrographs of immunohistochemical staining performed with antibody against TMPRSS4 in lung tissue sections. Strong staining was observed in epithelial (panels A and B) and interstitial cells (panel C) in IPF lungs (n = 5), whereas no positive labeling was detected in normal lungs (n = 3) (panel D). Panel E shows the negative control where the specific antibody was omitted. All sections were counterstained with hematoxylin. Arrows indicate positive cells.
TMPRSS4 (Transmembrane protease serine 4) is a plasma membrane-anchored serine protease that belongs to the peptidase S1 family. It serves multiple biological functions:
In viral infection: Facilitates SARS-CoV-2 infection in gut epithelial cells through cleavage of coronavirus spike glycoproteins, activating them for host cell entry
In cancer progression: Directly induces processing of pro-uPA/PLAU into active form through proteolytic activity
In cellular transformation: Promotes epithelial-mesenchymal transition (EMT) by activating the Raf/MEK/ERK1/2 signaling pathway
In angiogenesis: Suppresses RECK expression, an inhibitor of angiogenesis, thereby promoting tumor-induced angiogenesis
TMPRSS4 is significantly overexpressed in multiple cancer types including pancreatic, thyroid, colorectal, hepatocellular, and gastric cancers, where it promotes invasion, migration, and metastasis .
Research-grade TMPRSS4 antibodies come in several formats with varying applications:
Selection should be based on specific experimental requirements, targeting epitopes, and validated applications as documented in peer-reviewed publications.
Optimization of IHC protocols for TMPRSS4 requires careful consideration of several parameters:
Antigen Retrieval Methods:
For formalin-fixed paraffin-embedded tissues, heat-induced epitope retrieval with TE buffer pH 9.0 is recommended
Alternative approach: citrate buffer pH 6.0 has also proven effective
Antibody Dilution Ranges:
For optimal staining with minimal background:
Tissue-Specific Considerations:
Positive TMPRSS4 staining has been validated in:
Pancreatic cancer tissue
Colon tissue and colon cancer tissue
Stomach cancer tissue
Controls and Validation:
Include both positive controls (SW 1990 cells, BxPC-3 cells, mouse stomach tissue)
Implement negative controls using isotype-matched antibodies
The resulting staining pattern should show cytoplasmic and/or membrane localization depending on the tissue type examined.
Researchers face several challenges when detecting TMPRSS4 by Western blotting:
Molecular Weight Discrepancy:
Calculated molecular weight: 48 kDa
This discrepancy likely results from post-translational modifications
Sample Preparation Considerations:
Membrane protein extraction requires careful optimization
Use appropriate detergents (RIPA buffer with protease inhibitors)
Avoid excessive heating which may cause aggregation of membrane proteins
Optimization Strategies:
Test multiple antibodies targeting different epitopes
Use positive control lysates (SW 1990 cells, BxPC-3 cells)
Optimize transfer conditions for high molecular weight membrane proteins
Consider gradient gels for better resolution
Validation Approaches:
Compare TMPRSS4-overexpressing cells with control cells
Include TMPRSS4 knockdown samples as specificity controls
Verify band identity using mass spectrometry if questions persist
TMPRSS4 antibodies serve as valuable tools for investigating EMT mechanisms in cancer:
Experimental Design Approach:
Compare morphological changes induced by TMPRSS4 overexpression
Perform immunofluorescence to visualize:
Molecular Pathway Analysis:
TMPRSS4 overexpression triggers a cascade of events:
Activates C-Raf/MEK/ERK1/2 signaling pathway
Upregulates EMT transcription factors (snail and slug)
Enhances fibronectin and vimentin expression
Functional Validation:
Inhibit ERK1/2 with U0126 to demonstrate pathway dependency
Conduct rescue experiments with TMPRSS4 siRNA
Perform migration and invasion assays to correlate TMPRSS4 expression with functional outcomes
Research findings demonstrate that TMPRSS4-induced EMT can be reversed by ERK1/2 inhibition, suggesting a potential therapeutic approach for TMPRSS4-expressing tumors.
TMPRSS4 expression serves as a significant prognostic biomarker in gastric cancer:
Expression Pattern and Quantification:
TMPRSS4 upregulation observed in 44.9% of gastric cancer patients following surgical resection
Immunohistochemical analysis remains the gold standard for evaluation
Standardized scoring systems should be employed for consistency
Prognostic Correlations:
Treatment Response Prediction:
For patients receiving TS-1 cancer drug formulation:
With dosage ≥45%: TMPRSS4-positive patients showed 65.2% 5-year OS vs. 79.2% for TMPRSS4-negative patients (p=0.0284)
This suggests TMPRSS4 status may predict chemotherapy response
Implementation Recommendations:
Use standardized IHC protocols with appropriate controls
Implement digital image analysis for objective quantification
Correlate TMPRSS4 expression with multiple clinicopathological parameters
Consider combining with other biomarkers for enhanced prognostic power
TMPRSS4 exhibits distinct expression patterns that may explain SARS-CoV-2 tropism:
Gastrointestinal Expression Pattern:
TMPRSS4 is abundantly expressed throughout the GI tract:
Oesophagus: Epithelial cells, submucosal glands, lower muscularis mucosae
Small intestine: Weak cytoplasmic staining in goblet cells and enterocytes
Jejunum and ileum: More pronounced cytoplasmic expression compared to large intestine
Colon: Cytoplasmic and weak nuclear membrane staining in goblet cells and enterocytes
Stomach: Surface epithelial cells and mucinous parietal cells
Liver: Hepatocytes, bile ducts and ductules
Pulmonary Expression Profile:
Extensive expression in lung adenocarcinoma and lung squamous cell carcinoma
High expression in tumor-adjacent morphologically normal lung tissue
Particularly prominent in bronchial and alveolar epithelial cells
Research Implications:
TMPRSS4 may contribute to both respiratory and gastrointestinal manifestations of COVID-19
Expression patterns correlate with clinical observations of SARS-CoV-2 tropism
Patients with TMPRSS4-overexpressing conditions (cancer, COPD) may have increased susceptibility
Pharmacological inhibition of TMPRSS4 represents a potential therapeutic strategy
Investigating TMPRSS4's role in SARS-CoV-2 entry requires specialized experimental approaches:
Cell-Based Assays:
Overexpression studies:
Transfect TMPRSS4 in susceptible cell lines
Measure viral entry efficiency using pseudotyped virus systems
Quantify spike protein cleavage by Western blotting
Knockdown/inhibition studies:
Use siRNA or CRISPR to deplete TMPRSS4
Apply serine protease inhibitors (camostat, nafamostat)
Assess impact on viral entry and replication kinetics
Tissue-Specific Analysis:
Organoid models:
Develop gut, lung, or multi-organ organoids
Characterize TMPRSS4 expression by immunofluorescence
Evaluate organoid susceptibility to SARS-CoV-2 infection
Ex vivo tissue models:
Process fresh human tissue samples
Map TMPRSS4 expression using immunohistochemistry
Correlate with ACE2 expression and tissue susceptibility
Mechanistic Investigations:
Biochemical assays:
Purify recombinant TMPRSS4
Perform in vitro cleavage assays with spike protein
Determine enzyme kinetics and inhibitor profiles
Structural studies:
Analyze TMPRSS4-spike protein interactions
Identify critical residues for proteolytic activity
Design targeted inhibitors based on structural information
When facing contradictory results between different TMPRSS4 antibodies:
Systematic Validation Approach:
Antibody characterization:
Controlled comparison studies:
Test multiple antibodies simultaneously on the same samples
Include positive and negative control tissues/cells
Compare staining patterns and intensities
Specificity verification:
Perform peptide blocking experiments
Use TMPRSS4 knockout/knockdown samples
Test cross-reactivity with related proteases
Resolution Strategies:
For research applications: Use multiple antibodies targeting different epitopes
For diagnostic applications: Select antibodies with extensive clinical validation
For contradictory findings: Consider differences in:
Sample preparation methods
Detection systems
Scoring/quantification approaches
Standardization Recommendations:
Document detailed methodological protocols
Include appropriate technical and biological controls
Use consistent quantification methods
Consider interlaboratory validation for critical findings
Several factors influence TMPRSS4 detection in clinical samples:
Pre-analytical Variables:
Tissue procurement and fixation:
Time to fixation affects protein preservation
Fixative type and duration impact epitope availability
Standardize protocols across sample collections
Storage conditions:
FFPE block age can affect antigenicity
Tissue microarray construction techniques influence representativeness
Control for storage time and conditions
Analytical Considerations:
Antibody selection:
Different clones have varying sensitivities
Polyclonal vs. monoclonal antibodies show different staining patterns
Batch-to-batch variability within the same product
Protocol optimization:
Antigen retrieval methods significantly impact detection
Blocking reagents affect background levels
Detection systems vary in sensitivity
Biological Confounders:
Tumor heterogeneity:
TMPRSS4 expression varies within tumors
Sampling strategy influences detected expression levels
Multiple cores or whole sections may be needed for accurate assessment
Contextual expression patterns:
TMPRSS4 expression is influenced by tumor microenvironment
Inflammatory conditions may alter expression
Treatment effects can modify expression patterns
Standardization Approach:
Implement detailed standard operating procedures
Include universal control samples in each run
Use digital pathology and computer-assisted quantification
Participate in proficiency testing programs
By addressing these variables, researchers can improve reproducibility and reliability of TMPRSS4 expression assessment in clinical samples.