TMEM140 (transmembrane protein 140) in humans is a membrane-localized protein with 185 amino acid residues and a molecular mass of approximately 20.4 kDa. The protein undergoes post-translational modifications, most notably glycosylation, which can affect antibody recognition in various applications. TMEM140 gene orthologs have been identified across multiple species including mouse, rat, bovine, frog, chimpanzee, and chicken, which provides options for comparative studies using species-specific antibodies .
The TMEM140 gene is located on chromosome 7q33, a region frequently associated with various cancer types. This genomic positioning is particularly significant as alterations in chromosome 7 are closely linked to the development of glioma and other malignancies. Understanding this context is essential when designing research studies targeting TMEM140 expression in pathological conditions, particularly in neuro-oncology research .
TMEM140 exhibits significantly elevated expression in glioma tissues compared to normal brain tissue. Expression levels positively correlate with glioma histological grade, tumor size, and inversely correlate with patient survival rates. These expression patterns make TMEM140 a potential biomarker for disease progression and prognosis in glioma research. When designing immunohistochemistry experiments, researchers should account for this differential expression when selecting appropriate positive and negative control tissues .
When selecting a TMEM140 antibody, researchers should evaluate:
Application compatibility (ELISA, IHC, IF, WB)
Species reactivity (human-specific vs. cross-reactive)
Clonality (monoclonal for specificity vs. polyclonal for broader epitope recognition)
Conjugation requirements (unconjugated vs. fluorophore/enzyme conjugates)
Validated epitope regions (considering potential splice variants)
Batch-to-batch consistency documentation
Publication record in similar experimental contexts
The choice between conjugated (FITC, HRP, biotin) and unconjugated antibodies should be dictated by the specific experimental design rather than convenience .
A comprehensive validation protocol should include:
Western blot analysis to confirm specificity at the expected molecular weight (20.4 kDa)
Positive control testing in tissues with known high TMEM140 expression (e.g., glioma tissue)
Negative control testing in tissues with minimal expression
Peptide competition assays to confirm epitope specificity
siRNA knockdown controls to verify antibody specificity
Comparison of staining patterns across multiple antibodies targeting different TMEM140 epitopes
Cross-validation across multiple detection methods (IHC, IF, WB)
This systematic approach prevents misleading results from antibody cross-reactivity, particularly important when studying membrane proteins with structural similarities .
TMEM140 antibodies can be strategically deployed in several advanced experimental paradigms:
Co-immunoprecipitation studies: To identify interaction partners involved in adhesion and apoptotic pathways.
Chromatin immunoprecipitation: For researchers investigating transcriptional regulation of TMEM140.
Proximity ligation assays: To visualize and quantify protein-protein interactions in situ.
Live-cell imaging with fluorescently-conjugated antibodies: For trafficking and localization studies.
Tissue microarray analysis: For high-throughput screening across multiple patient samples.
These applications can reveal molecular mechanisms through which TMEM140 regulates cell adhesion molecules (ICAM1, VCAM1, syndecan1) and apoptotic proteins (caspase-3, Bax, Bcl2) in cancer models .
When investigating TMEM140's involvement in signaling pathways:
Use phospho-specific antibodies alongside TMEM140 antibodies to track activation states
Employ temporal analysis after stimulus application (e.g., growth factors, stress inducers)
Consider subcellular fractionation before immunoblotting to distinguish membrane-bound vs. cytosolic pools
Implement multiplexed analysis with markers for adhesion and apoptotic pathways
Validate findings with pharmacological inhibitors of suspected pathway components
Research indicates TMEM140 influences multiple signaling molecules involved in cell survival and adhesion, making pathway analysis complex but informative .
The optimal IHC protocol for TMEM140 detection includes:
Tissue preparation: Formalin-fixed paraffin-embedded (FFPE) sections (4-6 μm) or frozen sections
Antigen retrieval: Heat-induced epitope retrieval in citrate buffer (pH 6.0) for 20 minutes
Blocking: 5-10% normal serum in PBS with 0.1% Triton X-100 for 1 hour
Primary antibody incubation: Anti-TMEM140 (1:100-1:500 dilution) overnight at 4°C
Detection system: Polymer-based detection systems show superior signal-to-noise ratio
Counterstaining: Light hematoxylin counterstaining to avoid obscuring membrane staining
Controls: Include glioma tissue as positive control and normal brain tissue as negative/low expression control
This protocol optimizes detection while minimizing background, crucial for accurate quantification of TMEM140 expression levels in correlation studies with clinical parameters .
A comprehensive experimental design should include:
Multiple silencing approaches:
siRNA (transient): Using at least two independent sequences targeting different regions
shRNA (stable): For long-term studies requiring sustained knockdown
CRISPR-Cas9: For complete knockout studies
Essential controls:
Non-targeting siRNA/shRNA controls
Rescue experiments with exogenous TMEM140 expression
Isogenic cell line pairs (wildtype vs. knockout)
Functional readouts:
Adhesion assays (measuring attachment to extracellular matrix components)
Migration and invasion assays (Boyden chamber/transwell assays)
Apoptosis measurements (Annexin V/PI staining, caspase activity assays)
Cell cycle analysis (PI staining, EdU incorporation)
Previous research demonstrates that TMEM140 knockdown significantly affects cell adhesion molecules and apoptotic regulators, providing a framework for experimental validation .
To address staining variability:
Technical normalization approaches:
Implement batch correction using technical replicates
Utilize automated staining platforms to reduce technical variability
Incorporate digital image analysis with standardized algorithms
Biological considerations:
Account for tissue heterogeneity through microdissection or single-cell approaches
Consider the influence of post-translational modifications on epitope availability
Evaluate the impact of tissue fixation duration on membrane protein antigenicity
Statistical handling:
Apply appropriate statistical tests for non-parametric distributions
Implement mixed-effects models to account for intra- and inter-sample variability
Use bootstrapping approaches for robust confidence interval estimation
These strategies help distinguish biological significance from technical artifacts when analyzing TMEM140 expression across experimental conditions .
When facing discrepancies between protein expression and functional outcomes:
Consider post-translational regulation: Examine glycosylation state and other modifications
Evaluate protein localization: Membrane-bound vs. internalized TMEM140 may have different functions
Assess temporal dynamics: Expression timing may be as important as absolute levels
Investigate compensatory mechanisms: Related transmembrane proteins may provide functional redundancy
Examine context-dependency: Microenvironmental factors may modulate TMEM140 function
Analyze isoform-specific effects: Different splice variants may have opposing functions
A comprehensive approach incorporating these considerations allows for nuanced interpretation of seemingly contradictory experimental outcomes in TMEM140 research .
Current research has established several critical roles for TMEM140 in glioma:
Cell adhesion regulation: TMEM140 modulates expression of adhesion molecules ICAM1, VCAM1, and syndecan1, affecting tumor cell invasion and migration
Apoptosis modulation: TMEM140 knockout upregulates pro-apoptotic proteins (caspase-3, Bax) and downregulates anti-apoptotic proteins (Bcl2)
Correlation with clinical parameters: TMEM140 expression positively correlates with tumor size, histological grade, and inversely with patient survival
Therapeutic target potential: Inhibition of TMEM140 reduces adhesion and metastasis while promoting apoptosis in glioma models
These findings establish TMEM140 as a multifunctional protein central to glioma progression and a potential therapeutic target .
Emerging approaches with potential to advance TMEM140 research include:
Single-cell proteomics: To examine TMEM140 expression heterogeneity within tumors
Spatially-resolved transcriptomics: To correlate TMEM140 with microenvironmental features
Cryo-electron microscopy: For structural analysis of TMEM140 and its interaction partners
CRISPR activation/interference screens: To identify synthetic lethal interactions in TMEM140-high tumors
Patient-derived organoids: For functional validation in more physiologically relevant models
Targeted protein degradation approaches: As potential therapeutic strategies beyond knockdown
AI-assisted image analysis: For automated quantification of TMEM140 expression patterns
These methodologies could overcome current technical limitations and provide deeper mechanistic insights into TMEM140 biology .