TMEM120B antibodies are polyclonal or monoclonal reagents that bind specifically to the TMEM120B protein, enabling its detection in experimental assays. These antibodies are critical for:
Proteintech 24539-1-AP: Detects TMEM120B at 50 kDa in mouse cerebellum tissue .
Abcam ab121413: Validated in HEK293T lysates, showing a 40 kDa predicted band .
TMEM120B overexpression correlates with advanced TNM stage, lymph node metastasis, and poor prognosis in breast cancer .
Strong cytoplasmic positivity observed in human stomach glandular cells using Abcam ab121413 .
TMEM120B stabilizes MYH9, activates β1-integrin/FAK-TAZ-mTOR signaling, and promotes chemotherapy resistance in breast cancer .
Antibodies enabled the discovery of TMEM120B’s role in maintaining cancer stem cell (CSC) pluripotency .
STRING: 7955.ENSDARP00000106726
UniGene: Dr.83342
TMEM120B (transmembrane protein 120B) is a 339 amino acid multi-pass membrane protein belonging to the TMEM120 family . It localizes primarily to cellular membranes and contains six transmembrane domains and a coil-coil domain . While its precise function was initially unclear, recent research has established that TMEM120B is necessary for efficient adipogenesis . Unlike what was previously hypothesized, it does not show ion channel activity . More recently, TMEM120B has been implicated in cancer progression, particularly in activating TAZ-mTOR signaling pathways that promote stemness in breast cancer cells . The protein localizes on chromosome 12q24.31 and shares structural similarities with its homolog TMEM120A, which plays important roles in adipogenesis and is expressed in both white and brown adipose tissues .
When selecting a TMEM120B antibody, consider these critical factors:
Application compatibility: Verify that the antibody has been validated for your specific application. For example, antibody 24539-1-AP has been validated for Western Blot (WB) and ELISA applications , while ab121413 has been validated for IHC-P, WB, and ICC/IF .
Species reactivity: Confirm reactivity with your experimental model. The 24539-1-AP antibody shows reactivity with human and mouse samples , while some antibodies may be limited to specific species.
Epitope location: For functional studies, consider the epitope location. Antibody ab121413 targets the N-terminal region (amino acids 1-150) , which may be important if you're investigating domain-specific functions.
Validation data: Review the validation data provided by manufacturers, including images of Western blots, IHC, or IF results. Look for antibodies with clear, specific staining patterns that match the expected localization of TMEM120B.
Control experiments: Plan appropriate controls, including positive tissue controls (such as adipose tissue or breast cancer samples) and negative controls (using blocking peptides or TMEM120B knockout tissues).
The optimal dilution for Western blot applications using antibody 24539-1-AP is 1:500-1:1000 . For IHC-P applications with ab121413, a concentration of 1/20 has been shown to work effectively .
TMEM120A and TMEM120B are homologs with distinct but potentially overlapping functions:
Choose a TMEM120A antibody when:
Investigating adipogenesis mechanisms, particularly in brown or white adipose tissue
Studying lipodystrophy models
Examining chemotherapy sensitivity in colon cancer
Choose a TMEM120B antibody when:
Researching breast cancer cell stemness and chemoresistance
Investigating focal adhesion assembly and TAZ-mTOR signaling pathways
Studying adipogenesis in different cellular contexts
Examining its interaction with MYH9 and effects on ubiquitin-dependent degradation
When designing experiments involving both proteins, consider using antibodies from the same manufacturer to ensure comparable detection methods and sensitivity.
For optimal Western blot results with TMEM120B antibodies, follow this methodological approach:
Sample preparation:
Extract proteins from tissues (human or mouse samples work well)
Mouse cerebellum tissue has shown positive WB detection with 24539-1-AP antibody
Include positive controls such as TMEM120B-overexpressing cell lysates
Protocol optimization:
Expected band size: Look for bands at both calculated (40 kDa) and observed (50 kDa) molecular weights
Blocking: PBS with 5% non-fat milk is generally effective
Incubation: Overnight at 4°C typically produces optimal results
Troubleshooting considerations:
If detecting overexpressed TMEM120B, note that co-expression with a C-terminal myc-DDK tag (~3.1kDa) may alter the migration pattern
Multiple bands may appear due to post-translational modifications
The difference between calculated (40 kDa) and observed (50 kDa) weights suggests potential glycosylation or other modifications
Technical validation:
When possible, include both negative controls (vector-only transfected lysates) and overexpression lysates to confirm specificity, as demonstrated with antibody ab121413 .
For optimal IHC and IF detection of TMEM120B in tissue samples:
Immunohistochemistry (IHC) optimization:
Antibody selection: Ab121413 has demonstrated strong cytoplasmic positivity in glandular cells at 1/20 dilution
Antigen retrieval: Heat-induced epitope retrieval in citrate buffer (pH 6.0) typically works well for membrane proteins
Tissue selection: Human stomach tissue has shown strong cytoplasmic positivity in glandular cells
Expected staining pattern: Look for cytoplasmic staining in epithelial cells, with potential membrane localization
Controls: Include tissues known to express TMEM120B (breast, lung, gastric, colon, and ovarian cancers all show elevated expression)
Immunofluorescence (IF) optimization:
Cell fixation: PFA/Triton X-100 treatment has been successfully used with ab121413
Antibody concentration: 1-4 μg/ml is recommended for ab121413
Cell line selection: U-251MG cell line has shown positive results with nucleoli and cytoplasmic staining
Counterstaining: DAPI nuclear staining helps to visualize cellular compartments
Signal amplification: Consider tyramide signal amplification for low-abundance targets
Interpretation challenges:
TMEM120B shows primarily cytoplasmic expression (47.1% of breast cancer samples), with a small percentage (3.5%) showing nuclear expression
When evaluating cancer samples, note that TMEM120B expression patterns correlate with TNM stage and lymph node metastasis
Resolving discrepancies in TMEM120B localization requires a multi-faceted experimental approach:
Fractionation experiments:
Perform careful subcellular fractionation to separate nuclear, cytoplasmic, and membrane compartments
Analyze each fraction by Western blot using a validated TMEM120B antibody
Use compartment-specific markers (e.g., Na⁺/K⁺-ATPase for plasma membrane, GAPDH for cytoplasm, Lamin B1 for nuclear envelope)
Advanced microscopy techniques:
Super-resolution microscopy to precisely define subcellular localization
Co-staining with organelle-specific markers:
Plasma membrane: Na⁺/K⁺-ATPase, E-cadherin
Nuclear envelope: Lamin B1, emerin
Nucleoli: Fibrillarin
ER/Golgi: Calnexin, GM130
Quantitative analysis:
Use digital image analysis to quantify the percentage of TMEM120B in each compartment
Compare localization patterns in different cell types (normal vs. cancerous)
Analyze how localization changes with cell cycle progression
Methodological considerations:
The observed dual localization pattern (47.1% cytosolic, 3.5% nuclear in breast cancer samples) suggests that fixation methods and cell state may influence detected localization. Use both PFA and methanol fixation to comprehensively capture all potential localization patterns.
Functional verification:
Express fluorescently tagged TMEM120B constructs with mutations in potential localization signals to identify sequences responsible for differential compartmentalization.
TMEM120B contributes to cancer progression through multiple mechanisms that can be demonstrated using the following experimental models:
Stemness and proliferation models:
Sphere formation assay: TMEM120B-overexpressing-MCF-7 and SK-BR-3 cells show enhanced mammosphere formation, indicating increased cancer stem cell properties
Colony formation and MTT assays: These demonstrate increased proliferation in TMEM120B-overexpressing cells
EdU incorporation assay: This directly measures DNA synthesis and cell proliferation rates in response to TMEM120B manipulation
Migration and invasion models:
Wound healing assay: Measures the effect of TMEM120B on cell migration capacity
Transwell assay: Quantifies invasive potential of cells with altered TMEM120B expression
Signaling pathway analysis:
Western blotting: To detect activation of the β1-integrin/FAK-TAZ-mTOR signaling axis, which is promoted by TMEM120B
Immunoprecipitation: Demonstrates direct binding between TMEM120B and MYH9, a key interaction for its oncogenic function
GST pull-down assay: Confirms protein-protein interactions in the TMEM120B-mediated signaling pathway
In vivo models:
Mouse xenograft models: Show enhanced tumor growth with TMEM120B overexpression
Chemoresistance models: Demonstrate how TMEM120B overexpression enhances resistance to docetaxel and doxorubicin in breast cancer
The oncogenic mechanisms include:
Direct binding to MYH9 through the coil-coil domain
Prevention of MYH9 degradation by CUL9 in a ubiquitin-dependent manner
Acceleration of focal adhesion assembly
Activation of TAZ-mTOR signaling
The relationship between TMEM120B and adipogenesis can be investigated through the following experimental approaches:
Cell culture models:
Preadipocyte differentiation assays: Monitor the expression of TMEM120B during differentiation of preadipocytes (such as 3T3-L1 cells) into mature adipocytes
TMEM120B knockdown/knockout studies: Use siRNA, shRNA, or CRISPR-Cas9 to reduce or eliminate TMEM120B expression and observe effects on:
Lipid accumulation (Oil Red O staining)
Expression of adipogenic markers (PPARγ, C/EBPα, adiponectin)
Insulin sensitivity
TMEM120B overexpression studies: Introduce TMEM120B expression vectors to examine if enhanced expression accelerates or improves adipogenic differentiation
Molecular mechanistic studies:
Transcriptional regulation: ChIP assays to investigate if adipogenic transcription factors bind to the TMEM120B promoter
Protein interaction studies: Immunoprecipitation to identify protein partners of TMEM120B in adipocytes
Subcellular localization: Immunofluorescence to track TMEM120B localization during adipocyte differentiation
In vivo approaches:
Adipose tissue-specific TMEM120B knockout mice: Assess effects on:
Fat mass and distribution
Adipocyte size and number
Metabolic parameters (glucose tolerance, insulin sensitivity)
Comparison with TMEM120A models: Since TMEM120A knockout leads to lipodystrophy , compare phenotypes to understand unique vs. redundant functions
Experimental considerations:
TMEM120B is necessary for efficient adipogenesis , suggesting that loss-of-function models would show impaired adipocyte differentiation
Unlike ion channels, TMEM120B's role in adipogenesis likely involves structural functions in the nuclear envelope or membrane organization
Consider investigating potential cross-talk between TMEM120B's roles in adipogenesis and cancer, as adipose tissue changes can influence cancer progression
The interaction between TMEM120B and MYH9 is a critical aspect of TMEM120B's function in cancer progression. This interaction can be investigated using the following techniques:
Biochemical interaction assays:
Co-immunoprecipitation: Precipitate TMEM120B and detect MYH9 co-precipitation, or vice versa. This method confirmed direct binding between TMEM120B and MYH9
GST pull-down assay: Using GST-tagged TMEM120B fragments to identify the specific domains involved in MYH9 binding
Proximity ligation assay (PLA): To visualize and quantify TMEM120B-MYH9 interactions in situ within cells
Structural analysis:
Domain mapping: Express truncated versions of TMEM120B to determine that the coil-coil domain of TMEM120B directly binds to MYH9
Mutagenesis studies: Create point mutations in the coil-coil domain to identify specific residues critical for the interaction
Expression of TMEM120B-∆CCD: This variant with deleted coil-coil domain can be used as a negative control, as it delays focal adhesion formation and suppresses TAZ-mTOR signaling
Functional consequences:
Ubiquitination assays: To demonstrate that TMEM120B prevents MYH9 degradation by CUL9 in a ubiquitin-dependent manner
Focal adhesion assembly visualization: Fluorescently label focal adhesion components to observe how TMEM120B-MYH9 interaction accelerates their assembly
TAZ translocation assays: Monitor TAZ nuclear translocation in response to TMEM120B-MYH9 interaction
Proteomic approaches:
Liquid chromatography–tandem mass spectrometry (LC-MS/MS): Used to identify MYH9 as a binding partner of TMEM120B
Hydrogen-deuterium exchange mass spectrometry (HDX-MS): To map the interaction interface between TMEM120B and MYH9
Cross-linking mass spectrometry: To identify specific residues involved in the interaction
Key findings about the interaction:
TMEM120B directly binds to the coil-coil domain of MYH9
This interaction stabilizes MYH9 by preventing its degradation by CUL9
The stabilized MYH9 accelerates focal adhesion assembly
These events facilitate TAZ translocation and activate mTOR signaling
The interaction ultimately promotes cancer cell stemness and chemoresistance
TMEM120B expression patterns show significant potential as prognostic markers in cancer, particularly breast cancer, with the following methodological considerations:
Expression pattern analysis:
IHC scoring systems: Develop standardized scoring methods to quantify:
Subcellular localization importance: Both total and cytosolic TMEM120B expression positively correlate with advanced TNM stage and lymph node metastasis, while nuclear TMEM120B shows no visible correlation with clinicopathologic factors
Prognostic correlations:
Survival analysis: Kaplan–Meier analysis has revealed that both TMEM120B mRNA and protein levels are higher in patients with poor prognosis
Treatment response prediction: TMEM120B expression was elevated in breast cancer patients with poor treatment outcomes (Miller/Payne grades 1–2) compared to those with better outcomes (Miller/Payne grades 3–5)
Multifactorial assessment:
Combine with other markers: TMEM120B should be evaluated alongside established markers such as:
TNM staging
Hormone receptor status
HER2 status
Proliferation indices
Cancer subtype considerations: While TMEM120B expression is elevated across cancer types, no obvious differences in TMEM120B RNA levels were observed among diverse subtypes of breast cancer
Methodological recommendations for clinical researchers:
Sample collection and processing:
Use standardized fixation protocols to ensure consistent detection
Include normal adjacent tissue as internal controls
Antibody selection and validation:
Validate antibodies on tissue microarrays with known TMEM120B expression levels
Use multiple antibodies targeting different epitopes to confirm expression patterns
Quantification approaches:
Employ digital pathology and automated image analysis for objective quantification
Establish clear cutoff values for high vs. low expression based on outcome data
Multivariate analysis:
Adjust for known prognostic factors in statistical analyses
Consider TMEM120B in the context of established molecular subtypes
Studying TMEM120B's role in chemotherapy resistance presents several experimental challenges that can be addressed with the following methodological approaches:
Challenges in in vitro models:
Temporal dynamics of resistance development:
Challenge: Acute vs. chronic resistance mechanisms may differ
Solution: Establish both short-term drug exposure models and resistant cell lines through long-term selection with increasing drug concentrations
Cell heterogeneity effects:
Challenge: Bulk population studies may mask subpopulation-specific responses
Solution: Use single-cell approaches, including single-cell RNA-seq and flow cytometry with TMEM120B antibodies, to identify resistant subpopulations
Pathway redundancy:
Challenge: Multiple mechanisms may compensate for TMEM120B inhibition
Solution: Combine TMEM120B manipulation with inhibitors of parallel resistance pathways
Technical approaches:
Resistance measurement methods:
Mechanistic studies:
Translational considerations:
Patient-derived models:
Patient-derived xenografts (PDXs): Test TMEM120B manipulation in models that better recapitulate tumor heterogeneity
Organoids: Develop patient-derived organoids with varying TMEM120B levels to test chemotherapy response
Biomarker development:
Correlate TMEM120B expression with treatment response in patient samples
Develop assays to measure TMEM120B-dependent pathway activation (e.g., TAZ nuclear localization, mTOR activation)
Specific experimental findings:
Overexpression of TMEM120B enhances resistance to docetaxel and doxorubicin
TMEM120B-∆CCD (lacking the coil-coil domain) cannot confer chemoresistance, indicating the importance of the MYH9 interaction
TMEM120B activates the β1-integrin/FAK-TAZ-mTOR signaling axis, which is known to contribute to chemoresistance mechanisms
Integrating TMEM120B expression analysis into precision medicine approaches for cancer patients requires systematic implementation across several domains:
Diagnostic implementation:
Standardized testing protocols:
Develop IHC protocols with validated antibodies for clinical laboratory use
Establish RNA-based expression assays compatible with FFPE tissue samples
Define quantitative cutoffs for "high" vs. "low" expression based on outcome data
Multi-marker panels:
Treatment stratification strategies:
Chemotherapy selection:
Targeted therapy opportunities:
Clinical trial design:
Biomarker-driven trials:
Stratify patients based on TMEM120B expression levels
Test targeted agents against TMEM120B-activated pathways
Develop companion diagnostics alongside therapeutic agents
Response monitoring:
Assess changes in TMEM120B expression during treatment
Monitor downstream pathway activation (TAZ, mTOR) as pharmacodynamic markers
Correlate expression changes with clinical outcomes
Technological integration:
Multi-omics approaches:
Correlate TMEM120B protein expression with:
Transcriptomic profiles
Phosphoproteomics (focusing on TAZ-mTOR pathway)
Chromatin accessibility in stemness-related genes
Artificial intelligence applications:
Develop machine learning algorithms that incorporate TMEM120B with clinical and molecular features
Create predictive models for treatment response based on TMEM120B status and pathway activation
Implementation challenges and solutions:
Analytical validation:
Establish reference materials with known TMEM120B expression levels
Conduct inter-laboratory comparisons to ensure consistent results
Validate across different sample types (biopsies vs. surgical specimens)
Clinical validation:
Retrospective analysis of archived samples with known outcomes
Prospective studies measuring TMEM120B at baseline and correlating with response
Meta-analysis of TMEM120B expression across cancer types and treatments
Several controversies exist regarding TMEM120B's function, with key experimental approaches to resolve them:
Conflicting evidence:
Experimental resolution approaches:
Electrophysiology studies: Patch-clamp recordings in TMEM120B-expressing systems under various stimuli
Ion flux assays: Measure ion movements using fluorescent indicators in cells with manipulated TMEM120B levels
Structure-function analysis: Create chimeric proteins combining domains from TMEM120B with known ion channels to identify functional domains
Cryo-EM structural analysis: Similar to what has been done for TMEM120A , determine TMEM120B structure to identify potential ion-conducting pores
Conflicting evidence:
Experimental resolution approaches:
Co-localization studies: Multiple fluorescent markers for different cellular compartments
Cell-type specific analysis: Systematic examination across diverse cell types
Biochemical fractionation: Separate cellular compartments and quantify TMEM120B distribution
Super-resolution microscopy: Precisely define subcellular localization
Domain mutation studies: Identify localization signals that direct TMEM120B to different compartments
Conflicting evidence:
Experimental resolution approaches:
Comparative interactome studies: Identify binding partners in normal vs. cancer cells
Conditional knockout models: Tissue-specific deletion in normal tissues vs. tumors
Transcriptional profiling: Compare genes regulated by TMEM120B in normal vs. cancer contexts
Post-translational modification analysis: Identify cancer-specific modifications that might alter function
Conflicting evidence:
Experimental resolution approaches:
Double knockout studies: Generate TMEM120A/B double knockout to assess functional redundancy
Domain swapping experiments: Create chimeric proteins to identify unique functional domains
Tissue-specific expression analysis: Compare expression patterns in various tissues and disease states
Differential interactome mapping: Identify unique binding partners for each protein
Advanced imaging techniques can provide crucial insights into TMEM120B dynamics and interactions in living cells, with the following optimization strategies:
Fluorescent protein fusion strategies:
Construct design considerations:
N- vs. C-terminal tagging: Create both N- and C-terminal fusion proteins to determine which preserves native function
Linker optimization: Test various linker lengths to minimize interference with protein folding
Validation experiments: Compare localization and function of tagged constructs with endogenous TMEM120B
Recommended fluorophores:
mEmerald or mNeonGreen: Bright green fluorophores with minimal photobleaching for long-term imaging
mScarlet: Red fluorophore with high quantum yield for multi-color imaging
HaloTag or SNAP-tag: For pulse-chase experiments with membrane-permeable dyes
Live-cell imaging methodologies:
FRAP (Fluorescence Recovery After Photobleaching):
Application: Measure TMEM120B mobility and turnover rates in different cellular compartments
Optimization: Minimal laser power to prevent photodamage while achieving sufficient bleaching
Analysis: Curve fitting to extract diffusion coefficients and immobile fractions
FRET (Förster Resonance Energy Transfer):
Application: Monitor TMEM120B-MYH9 interactions in real-time
Sensor design: Create TMEM120B-donor and MYH9-acceptor fusion pairs
Controls: Include non-interacting mutants (TMEM120B-∆CCD) as negative controls
Analysis: Acceptor photobleaching or sensitized emission methods with appropriate corrections
Single-molecule tracking:
Application: Track individual TMEM120B molecules to identify distinct subpopulations and behaviors
Labeling strategies: HaloTag with photoactivatable dyes for sparse labeling
Acquisition parameters: High-speed imaging (>20 fps) with sensitive EMCCD or sCMOS cameras
Analysis: Mean square displacement and trajectory classification algorithms
Advanced microscopy platforms:
Lattice light-sheet microscopy:
Super-resolution techniques:
STED microscopy: For high-resolution imaging of TMEM120B within membrane structures
PALM/STORM: For nanoscale distribution analysis of TMEM120B clusters
Expansion microscopy: Physical sample expansion for conventional microscopes to achieve super-resolution
Correlative light-electron microscopy (CLEM):
Application: Correlate fluorescently-tagged TMEM120B with ultrastructural features
Workflow: Live imaging followed by fixation and EM processing
Analysis: Register light and electron microscopy images for precise localization
Quantitative analysis approaches:
Colocalization analysis:
Dynamics measurements:
Optical flow analysis for membrane movement
Particle tracking for vesicular trafficking of TMEM120B
Interaction mapping:
Proximity ligation assay (PLA) quantification
FRET efficiency maps to visualize spatial distribution of interactions
TMEM120B's involvement in cancer progression and chemoresistance presents several emerging therapeutic opportunities, with the following considerations for preclinical study design:
Therapeutic targeting strategies:
Direct TMEM120B targeting:
Monoclonal antibodies: Target extracellular domains to block function
RNA interference: siRNA or antisense oligonucleotides to reduce expression
PROTAC approach: Induced degradation of TMEM120B protein
MYH9-TMEM120B interaction inhibition:
Downstream pathway inhibition:
Preclinical model design:
In vitro models:
2D cell line panels: Test in multiple breast cancer subtypes with varying TMEM120B expression
3D organoid cultures: Better recapitulate tumor architecture and heterogeneity
Co-culture systems: Include stromal components to assess microenvironment effects
In vivo models:
Patient-derived xenografts (PDXs): With characterized TMEM120B expression levels
Genetically engineered mouse models (GEMMs): Conditional TMEM120B overexpression in mammary tissue
Metastatic models: To assess effects on dissemination and colonization
Combination treatment strategies:
Chemosensitization approach:
Pathway-based combinations:
Biomarker development for patient selection:
Expression-based markers:
Pathway activation markers:
Phospho-FAK levels
Nuclear TAZ localization
Phospho-mTOR status
Predictive models:
Combinatorial analysis of TMEM120B with MYH9 expression
Integrative scores incorporating multiple pathway components
Critical preclinical study endpoints:
Efficacy parameters:
Mechanism validation:
Safety assessment: