TMED3 antibodies have been validated for multiple research applications including:
Western Blot (WB)
Immunohistochemistry (IHC)
Immunocytochemistry/Immunofluorescence (ICC-IF)
Enzyme-Linked Immunosorbent Assay (ELISA)
The validation data shows consistency across these applications with specific reactivity to human, mouse, and rat samples . When designing experiments, researchers should consider that different applications may require specific antibody preparations and optimization protocols.
The optimal dilution varies by application technique:
| Application | Recommended Dilution |
|---|---|
| Western Blot (WB) | 1:500-1:2000 |
| Immunohistochemistry (IHC) | 1:50-1:500 |
| ELISA | Application-dependent |
Note: It is strongly recommended that each researcher titrate the antibody in their specific experimental system to obtain optimal results . Dilution requirements may vary based on the specific tissue or cell type being analyzed.
The calculated molecular weight of TMED3 is 25 kDa (217 amino acids), but the observed molecular weight in Western blot applications typically ranges between 21-25 kDa . This slight variation may reflect post-translational modifications or protein processing differences across tissue types. When analyzing Western blot results, researchers should be aware that slight variations in molecular weight may occur depending on cell or tissue type.
Based on published research, these samples show reliable TMED3 expression for positive controls:
| Sample Type | Validated for TMED3 Expression |
|---|---|
| Cell Lines | HeLa, MCF-7, HT-1080, HepG2 |
| Tissues | Human stomach cancer tissue, mouse small intestine, mouse skin |
For IHC applications specifically, human stomach cancer tissue has shown reliable results. When performing antigen retrieval for these samples, TE buffer pH 9.0 is suggested, though citrate buffer pH 6.0 may serve as an alternative .
When designing TMED3 knockdown experiments:
Vector Selection: Lentiviral vectors have shown efficacy for TMED3 knockdown with MOI=10 reported as effective .
Transfection Protocol: Polybrene (6 μg/ml) has been successfully used to enhance lentiviral transduction .
Validation Method: RT-qPCR and Western blot should be performed 72 hours post-transduction to confirm knockdown efficiency .
Functional Assays: Design experiments to assess:
Cell viability (via CCK-8 or similar assays)
Migration capacity (transwell and wound healing assays)
Apoptosis (flow cytometry)
Colony formation ability
Research has shown that TMED3 knockdown inhibits cell viability and migration while enhancing apoptosis in cancer cells, particularly in chordoma and lung squamous cell carcinoma .
TMED3 influences cancer progression through multiple molecular pathways:
Apoptosis Regulation: TMED3 knockdown inhibits expression of anti-apoptotic proteins including:
Cell Cycle Regulation: TMED3 affects cell cycle-related proteins:
Wnt/β-catenin Signaling: In breast cancer, TMED3 promotes proliferation and migration through Wnt/β-catenin signaling pathway activation .
EMT Regulation: TMED3 knockdown inhibits epithelial-mesenchymal transition in lung squamous cell carcinoma, reducing migration capacity .
When investigating these pathways, researchers should design experiments to examine specific protein interactions rather than assuming a universal mechanism across all cancer types.
TMED3 forms functional complexes with other TMED family proteins:
TMED Complexes: Research has identified that TMED3 forms a heteromeric complex with TMED2, TMED9, and TMED10 that facilitates unconventional protein secretion .
Experimental Approaches:
Co-immunoprecipitation assays have successfully demonstrated that TMED3 primarily recognizes cargo proteins, while other TMEDs may facilitate transport
Immunofluorescence analysis showing >70% colocalization of TMED3 with cargo proteins under blocked ER-to-Golgi transport conditions
Cell surface biotinylation assays can detect TMED3 trafficking under different conditions
TMED Silencing: When studying TMED family interactions, systematic silencing of individual family members (TMED2, TMED3, TMED9, TMED10) provides insights into their relative contributions to cellular processes .
TMED3 plays a critical role in ER stress-associated unconventional protein secretion (UPS):
Cargo Recognition: TMED3 specifically recognizes ER core-glycosylated protein cargos during ER stress .
Glycosylation Preferences: Experimental evidence indicates TMED3 preferentially binds to:
Experimental Validation Approaches:
Pull-down assays with ER glucosidase and mannosidase inhibitors
ARF1-Q71L-induced UPS models
Colocalization studies with cargo proteins under ER stress conditions
TMED Complex Formation: The TMED2/3/9/10 heteromeric complex is essential for efficient UPS, with TMED3 serving as the initial cargo recognition component .
For maximum stability and performance:
Buffer Composition: PBS with 0.02% sodium azide and 50% glycerol pH 7.3
Stability: Stable for one year after shipment when properly stored
Aliquoting: For 20μL sizes containing 0.1% BSA, aliquoting is unnecessary for -20°C storage
Following these storage recommendations ensures antibody stability and consistent experimental results.
To ensure antibody specificity:
Positive Controls: Use validated cell lines with known TMED3 expression (HeLa, MCF-7, HepG2)
Knockdown/Knockout Validation:
Peptide Competition Assay: Pre-incubate antibody with immunogen peptide (DPQGNTIYRETKKQYDSFTYRAEVKGVYQF for some antibodies) to block specific binding
Multiple Antibody Comparison: Use antibodies targeting different epitopes of TMED3 to confirm consistency in results
Cross-Reactivity Assessment: Test antibody reactivity in samples where TMED3 is not expected to be expressed
For optimal IHC results with TMED3 antibodies:
Antigen Retrieval:
Tissue Processing:
Human stomach cancer tissue has been validated for positive staining
Consider tissue-specific fixation effects on epitope accessibility
Dilution Optimization:
Start with the recommended 1:50-1:500 dilution range
Perform a dilution series to determine optimal concentration for specific tissue types
Background Reduction:
Include appropriate blocking steps to minimize non-specific binding
Consider endogenous peroxidase quenching if using HRP-conjugated detection systems
TMED3 expression patterns vary significantly across cancer types:
Upregulation Patterns:
Breast cancer: Significantly increased TMED3 mRNA and protein expression compared to normal controls; correlated with poor prognosis
Lung squamous cell carcinoma: Upregulated expression positively correlated with pathological grade
Colorectal cancer: Expression independently associated with prognosis
Biomarker Potential:
Research Implications:
Different antibody dilutions may be required for different cancer types
Validation of expression patterns should be performed for each cancer type under investigation
Consider using tissue microarrays with multiple cancer types for comparative studies
Notable contradictions have been observed:
Metastasis Regulation:
Experimental Considerations:
Different experimental models (cell lines, animal models)
Variations in knockdown/overexpression techniques
Cancer-type specific microenvironments
Resolution Approaches:
Direct comparison studies using identical methodologies across cancer types
Investigation of tissue-specific interacting partners
Analysis of TMED3 mutations or isoforms across cancer types
When designing experiments, researchers should account for these contradictions and include appropriate controls specific to their cancer type of interest.
Emerging research areas include:
Unconventional Protein Secretion:
Super-Resolution Microscopy:
Using advanced imaging techniques with TMED3 antibodies to visualize trafficking dynamics in real-time
Co-localization studies with other vesicular transport components
TMED Complex Formation:
Structural studies of TMED2/3/9/10 heteromeric complexes
Investigation of assembly/disassembly dynamics under different cellular conditions
Therapeutic Applications:
Exploring TMED3 as a potential therapeutic target for cancer treatment
Development of small molecule inhibitors targeting TMED3-cargo interactions
Single-cell approaches offer new insights:
Single-Cell RNA-seq:
Mapping TMED3 expression heterogeneity within tumors
Correlating TMED3 expression with specific cell states or phenotypes
Mass Cytometry:
Simultaneous analysis of TMED3 with multiple cancer markers at single-cell resolution
Identification of TMED3 expression in specific tumor subpopulations
Spatial Transcriptomics:
Mapping TMED3 expression within the tumor microenvironment
Correlating expression with stromal interactions or invasive fronts
Methodological Considerations:
Optimization of TMED3 antibodies for single-cell applications
Development of multiplexed antibody panels including TMED3
Fixation and permeabilization protocols that preserve both TMED3 epitopes and cellular architecture