TMEM56 Antibody has been instrumental in elucidating the protein’s roles in cellular and disease contexts:
Role in Red Blood Cell Development: TMEM56 deficiency disrupts haem biosynthesis and erythroid differentiation, leading to impaired red blood cell production. Mouse models (EpoR-Cre deletion) showed reduced bone marrow erythroid progenitors under normal and anemic conditions .
Mechanistic Insights: TMEM56 regulates haem metabolism and cell cycle progression in erythroid cells, suggesting its potential as a therapeutic target for anemia-related disorders .
Prognostic Biomarker: TMEM56 is part of an 18-gene signature predicting AML patient outcomes. Low TMEM56 expression correlates with poor survival and reduced chemotherapy response .
Immune Infiltration: TMEM56 downregulation is linked to immunosuppressive microenvironments, including higher M2 macrophage and monocyte infiltration, which may drive disease progression .
TMEM56 (Transmembrane protein 56) is a cellular membrane protein with approximately 43 kDa molecular weight that spans the cell membrane. It plays significant roles in cellular signaling pathways, membrane trafficking, and protein transport mechanisms. The protein's versatile functions make it a target for investigations into biological processes including cell growth, differentiation, and apoptosis. Research involving TMEM56 is essential for understanding its impact on cellular physiology and identifying potential therapeutic strategies for disorders associated with dysregulated protein transport and membrane dynamics .
TMEM56 antibodies are predominantly available as rabbit polyclonal antibodies that target human TMEM56. These antibodies are typically generated against recombinant human TMEM56 protein fragments, such as the C-terminal region or specific amino acid sequences (e.g., 232-263AA). Most commercial antibodies are unconjugated, though some vendors offer conjugated versions with HRP, FITC, or biotin for specialized applications. The antibodies undergo protein G purification to ensure high specificity and are typically supplied in liquid form with glycerol-based storage buffers .
TMEM56 antibodies have been validated for multiple research applications, primarily:
Immunohistochemistry of paraffin-embedded tissues (IHC-P): Typically used at dilutions of 1:20-1:500
Immunofluorescence (IF): Generally effective at dilutions of 1:50-1:200
Western blotting (WB): For protein detection in cell and tissue lysates
ELISA: Used at dilutions of 1:2000-1:10000
These antibodies have specifically demonstrated reactivity with human samples, including normal tissues and disease models such as glioma, endometrial cancer, and other tumors .
To maintain antibody integrity and performance, TMEM56 antibodies should be stored according to a two-tier approach. For short-term use (up to 2 weeks), refrigeration at 2-8°C is sufficient. For long-term storage, antibodies should be kept at -20°C in small aliquots to prevent freeze-thaw cycles that can degrade antibody quality. Most commercial preparations contain preservatives (such as 0.03% Proclin 300) and stabilizers (typically 50% glycerol in PBS, pH 7.4) to maintain antibody function during storage. When handling, it's advisable to avoid repeated freeze-thaw cycles by creating single-use aliquots before freezing .
Optimizing antibody dilutions requires systematic titration based on the specific application:
| Application | Recommended Dilution Range | Optimization Strategy |
|---|---|---|
| ELISA | 1:2000-1:10000 | Begin at 1:5000 and adjust based on signal-to-noise ratio |
| IHC | 1:20-1:200 | Start with 1:100 for paraffin sections, adjust based on staining intensity |
| IF | 1:50-1:200 | Begin at 1:100, optimize based on fluorescence signal intensity and background |
For each new tissue type or cell line, perform a preliminary experiment using a dilution series within the recommended range. Evaluate results based on signal specificity, background levels, and signal-to-noise ratio. Include appropriate positive and negative controls to validate specificity. When working with new sample types, broader titration ranges may be necessary to determine optimal conditions .
A robust experimental design with TMEM56 antibodies requires multiple control types:
Positive tissue controls: Human tissues known to express TMEM56, such as glioma, endometrial tissue, or HeLa cells that have been validated in previous studies
Negative controls:
Primary antibody omission: Replace primary antibody with antibody diluent
Isotype control: Use non-specific rabbit IgG at the same concentration
Blocking peptide: Pre-incubate antibody with immunizing peptide to demonstrate binding specificity
Technical controls:
Loading control for Western blots (e.g., β-actin, GAPDH)
Nuclear counterstain (e.g., DAPI) for immunofluorescence to help localize cellular structures
These controls help distinguish between specific TMEM56 signals and non-specific background, particularly important when analyzing new tissue types or when troubleshooting unexpected results .
For optimal TMEM56 detection in immunohistochemistry, follow this validated protocol:
Fixation: Fix tissues in 10% neutral-buffered formalin for 24-48 hours, depending on tissue size
Embedding and sectioning: Process tissues through graded alcohols and xylene, embed in paraffin, and section at 4-5μm thickness
Antigen retrieval: Critical step for transmembrane proteins like TMEM56
Heat-induced epitope retrieval in citrate buffer (pH 6.0) for 20 minutes is most commonly effective
Alternative: Tris-EDTA buffer (pH 9.0) if citrate buffer yields weak signals
Blocking: Block with 3-5% normal serum (from the same species as the secondary antibody) for 30-60 minutes
Primary antibody incubation: Apply TMEM56 antibody at optimal dilution (typically 1:100) and incubate overnight at 4°C
Detection system: Use appropriate detection system (HRP/DAB or fluorescence-based) following manufacturer's protocols
Counterstaining: Hematoxylin for brightfield or DAPI for fluorescence
The protocol has been validated in human tissues including glioma, uterine tissue, and endometrial cancer samples, demonstrating specific membrane and cytoplasmic staining patterns .
When encountering weak or absent TMEM56 staining, systematically address these potential issues:
Antibody factors:
Verify antibody integrity and storage conditions
Try increasing antibody concentration (use a titration series)
Consider longer incubation times (overnight at 4°C instead of 1-2 hours at room temperature)
Test alternative TMEM56 antibody clones targeting different epitopes
Sample factors:
Optimize fixation duration (overfixation can mask epitopes)
Test alternative antigen retrieval methods (pH 6.0 vs. pH 9.0 buffers, or enzymatic retrieval)
Verify sample handling and storage conditions
Ensure target protein isn't degraded in your samples
Detection system:
Use signal amplification methods (e.g., avidin-biotin complex, tyramide signal amplification)
Ensure secondary antibody compatibility with primary antibody species
Check detection substrate freshness and activity
Expression levels:
Verify TMEM56 expression in your sample type through alternative methods (qPCR, RNA-seq)
Include positive control samples with known TMEM56 expression
These approaches have successfully resolved detection issues in various tissue types including glioma and endometrial tissues where TMEM56 staining can be particularly challenging .
High background signal can compromise TMEM56 detection specificity. Implement these validated strategies to improve signal-to-noise ratio:
Blocking optimization:
Increase blocking time (from 30 to 60 minutes)
Test different blocking reagents (BSA, normal serum, commercial blocking solutions)
Add 0.1-0.3% Triton X-100 for membrane permeabilization
Antibody considerations:
Further dilute primary and secondary antibodies
Reduce antibody incubation times
Use affinity-purified antibodies (all commercial TMEM56 antibodies are protein G purified)
Pre-absorb antibodies with tissue powder or non-specific proteins
Washing steps:
Increase wash duration and number of washes
Include detergents (0.05-0.1% Tween-20) in wash buffers
Use PBS-T (PBS with 0.05% Tween-20) for more stringent washing
Tissue-specific treatments:
Block endogenous peroxidase (3% H₂O₂, 10-15 minutes) before antibody application
For tissues with high biotin content, use avidin-biotin blocking kit
Consider autofluorescence quenching reagents for fluorescence applications
These optimization strategies have proven effective across multiple tissue types, particularly in reducing non-specific binding in human glioma samples where background can be problematic .
Successful TMEM56 detection in immunofluorescence requires specific technical considerations:
Cell preparation:
For adherent cells (e.g., HeLa), culture on glass coverslips to 70-80% confluence
Fix with 4% paraformaldehyde for 10-15 minutes at room temperature
Permeabilize with 0.2% Triton X-100 for 10 minutes to access transmembrane epitopes
TMEM56 antibody application:
Dilute to 1:50-1:200 range (most publications use 1:100)
Incubate in humidity chamber overnight at 4°C to maximize sensitivity
Include 1% BSA in antibody diluent to reduce background
Detection and visualization:
Use fluorophore-conjugated secondary antibodies (Alexa Fluor 488 is commonly used)
Counterstain with DAPI (1μg/ml, 5 minutes) for nuclear visualization
Mount with anti-fade mounting medium to prevent photobleaching
Imaging optimization:
Use confocal microscopy for precise subcellular localization
Adjust exposure settings to prevent signal saturation
Capture Z-stacks for transmembrane proteins to visualize complete membrane distribution
Successful immunofluorescence detection of TMEM56 has been demonstrated in HeLa cells, showing characteristic membrane and cytoplasmic localization patterns when following these guidelines .
TMEM56 co-localization studies require sophisticated experimental design to reveal functional relationships with other proteins:
Multi-channel immunofluorescence protocol:
Select TMEM56 antibody and antibodies against potential interaction partners
Ensure primary antibodies are raised in different host species (e.g., rabbit anti-TMEM56 and mouse anti-partner protein)
Use spectrally distinct fluorophores for secondary antibodies (e.g., Alexa 488 for TMEM56, Alexa 594 for partner)
Include appropriate controls: single-antibody stains and isotype controls
Target selection strategy: Based on TMEM56's known functions, consider these co-localization candidates:
Membrane trafficking markers: Rab GTPases, clathrin, caveolin
Endosomal compartment markers: EEA1 (early endosomes), LAMP1 (lysosomes)
Other transmembrane proteins implicated in cellular signaling
Analysis methodology:
Collect images using confocal microscopy with sequential scanning to prevent bleed-through
Quantify co-localization using Pearson's or Mander's coefficients
Perform pixel intensity correlation analysis across multiple cells (n>30)
Consider super-resolution microscopy for refined spatial analysis of membrane proteins
This approach has proven effective in elucidating the relationships between transmembrane proteins and their functional partners in cellular signaling and trafficking pathways, though specific TMEM56 co-localization data is still emerging in the literature .
While not explicitly validated in the provided search results, flow cytometry analysis of TMEM56 can be implemented following these research-based guidelines:
Cell preparation optimization:
Use gentle cell dissociation methods (e.g., enzyme-free dissociation buffer) to preserve membrane proteins
For intracellular epitopes, permeabilize with 0.1% saponin rather than harsher detergents
Maintain cells at 4°C throughout processing to prevent internalization of surface proteins
Antibody application protocol:
Test both direct and indirect labeling approaches
For indirect labeling: Use primary TMEM56 antibody at 1:50-1:100 dilution, followed by fluorophore-conjugated secondary antibody
For direct approach: Consider conjugated TMEM56 antibodies (FITC, PE) if available
Include FcR blocking reagent to reduce non-specific binding
Controls and validation:
Use isotype control matched to TMEM56 antibody subclass
Include fluorescence-minus-one (FMO) controls
Validate specificity through TMEM56 knockdown/knockout cells
Compare expression patterns with immunofluorescence data on the same cell types
Data analysis considerations:
Gate on viable single cells
Compare median fluorescence intensity (MFI) rather than percent positive
Normalize to isotype control
Consider comparing expression across different cell states (e.g., differentiation, activation)
This methodological approach integrates best practices for membrane protein detection in flow cytometry and can be adapted specifically for TMEM56 analysis .
Functional investigation of TMEM56 using antibody-based approaches requires sophisticated experimental design:
Protein interaction studies:
Co-immunoprecipitation: Use TMEM56 antibody to pull down protein complexes, then identify binding partners through mass spectrometry
Proximity ligation assay (PLA): Combine TMEM56 antibody with antibodies against suspected interaction partners to visualize protein-protein interactions in situ
FRET/FLIM analysis: Use fluorophore-conjugated antibodies to measure energy transfer between TMEM56 and potential partners
Functional blocking experiments:
Apply TMEM56 antibodies to live cells to potentially block protein function
Assess phenotypic changes in:
Membrane trafficking (using fluorescent cargo tracking)
Cell migration (wound healing assays)
Signal transduction (phosphorylation of downstream targets)
Compare with siRNA knockdown effects to validate findings
Correlation with disease states:
Tissue microarray analysis of TMEM56 expression across multiple disease tissues
Quantify expression level changes using digital pathology approaches
Correlate with clinical outcomes and other molecular markers
Compare with gene expression data for integrated analysis
These experimental approaches leverage the specificity of TMEM56 antibodies to investigate functional roles beyond simple protein detection, providing mechanistic insights into TMEM56's cellular functions .
Robust quantification of TMEM56 immunostaining requires standardized methods:
Immunohistochemistry quantification approaches:
Semi-quantitative scoring: Use established H-score method (intensity × percentage positive cells)
Digital image analysis: Use software algorithms to quantify DAB staining intensity and distribution
Specify subcellular localization (membrane, cytoplasmic, or both)
Compare staining patterns across different tissue regions (e.g., tumor center vs. periphery)
Immunofluorescence quantification methods:
Measure mean fluorescence intensity (MFI) in defined cellular compartments
Assess co-localization coefficients when performing dual staining
Quantify percentage of positive cells in heterogeneous populations
Use specialized software (ImageJ, CellProfiler) with consistent thresholding parameters
Interpretation guidelines:
Compare with established markers of cellular compartments
Consider physiological context and tissue-specific expression patterns
Evaluate whether staining pattern is consistent with transmembrane protein localization
Correlate with other experimental data (Western blot, qPCR) to validate observations
Statistical analysis:
Use appropriate statistical tests based on data distribution
Include sufficient biological replicates (typically n≥3)
Report variability measures (standard deviation, standard error)
Consider blinded scoring to eliminate observer bias
These approaches have been applied to TMEM56 detection in human glioma, endometrial cancer, and uterine tissues, allowing meaningful comparison of expression patterns across different samples .
TMEM56 exhibits tissue-specific distribution patterns that must be considered when interpreting results:
Normal tissue distribution:
TMEM56 shows variable expression across human tissues
Expected primarily in membranous and cytoplasmic compartments given its identity as a transmembrane protein
Particular attention should be paid to epithelial cells, where many transmembrane proteins show enriched expression
Documented staining patterns:
Human uterus (pre-menopause): Moderate membranous and cytoplasmic staining
Human glioma: Variable expression with both membranous and cytoplasmic patterns
HeLa cells: Distinct membranous staining with some cytoplasmic distribution
Endometrial cancer: Often shows altered expression compared to normal endometrial tissue
Subcellular localization considerations:
Primary membranous localization consistent with transmembrane protein function
Cytoplasmic staining may represent protein in biosynthetic or trafficking pathways
Nuclear staining would be unexpected and should be validated carefully
Punctate vesicular patterns may indicate endosomal localization
Abnormal patterns requiring validation:
Exclusively nuclear staining would be considered atypical
Complete absence in tissues known to express TMEM56 mRNA
Highly heterogeneous expression within a single tissue type
These patterns have been documented through experimental validation using the antibodies described in the search results, particularly in immunohistochemistry and immunofluorescence studies of human tissues .
Contradictory results from different TMEM56 antibodies require systematic investigation:
Antibody characteristic analysis:
Compare epitope regions (N-terminal, C-terminal, internal domains)
Assess antibody format (polyclonal vs. monoclonal)
Review validation data for each antibody
Consider host species and immunization protocols
Validation experiments:
Western blot analysis to confirm specificity and molecular weight
Peptide competition assays to verify epitope specificity
siRNA knockdown or CRISPR knockout validation
Correlation with mRNA expression data (qPCR, RNA-seq)
Technical variables assessment:
Evaluate fixation and preparation protocols
Compare antigen retrieval methods
Standardize antibody concentrations (use molar equivalents)
Test multiple detection systems
Interpretation framework:
Different antibodies may recognize distinct protein isoforms
Post-translational modifications might affect epitope accessibility
Protein conformation in different cellular compartments could alter antibody binding
Tissue-specific factors might influence antibody performance
This systematic approach helps determine whether discrepancies reflect technical issues or biologically meaningful differences in protein expression or modification, ensuring accurate interpretation of TMEM56 distribution and function .
TMEM56 antibodies are finding expanding applications in disease-focused research:
Cancer research applications:
Expression profiling across tumor types (glioma and endometrial cancer already documented)
Correlation with tumor grade, stage, and patient outcomes
Investigation of TMEM56's potential role in cancer cell signaling and membrane dynamics
Biomarker development for diagnostic or prognostic applications
Neurological disorder investigations:
Analysis of TMEM56 distribution in neurological tissue samples
Investigation of potential roles in neuronal membrane trafficking
Correlation with other transmembrane proteins implicated in neurological disorders
Cellular physiology studies:
Protein transport and membrane organization research
Cell differentiation and development investigations
Stress response and cellular adaptation mechanisms
Methodological advancements:
Integration with emerging spatial transcriptomics approaches
Combination with super-resolution microscopy techniques
Use in high-content screening applications
These emerging applications build upon the established roles of TMEM56 in cellular signaling pathways, membrane trafficking, and protein transport mechanisms, expanding our understanding of its functions in normal physiology and disease states .
For reliable results in longitudinal TMEM56 research, implement these quality control measures:
Antibody validation program:
Regular specificity testing through Western blot analysis
Batch-to-batch comparison when reordering antibodies
Validation across multiple applications (IHC, IF, WB) to ensure consistent performance
Documentation of positive control tissues or cell lines for each application
Storage and handling protocol:
Maintain detailed antibody inventory with dates, lot numbers, and aliquot tracking
Store according to manufacturer recommendations (typically -20°C in small aliquots)
Avoid repeated freeze-thaw cycles by preparing single-use aliquots
Monitor preservative and storage buffer composition
Experimental standardization:
Maintain consistent fixation and processing protocols
Standardize antibody dilutions and incubation conditions
Include technical and biological replicates in all experiments
Incorporate positive and negative controls in each experimental run
Data management system:
Document all experimental parameters in laboratory information systems
Create a central repository of validated protocols and results
Implement statistical quality control measures to track antibody performance over time
Establish acceptance criteria for control samples
The future landscape of TMEM56 antibody applications will likely evolve with several technological advancements:
Integration with emerging imaging technologies:
Super-resolution microscopy (STORM, PALM, STED) for nanoscale localization of TMEM56
Expansion microscopy for enhanced visualization of membrane protein organization
Light sheet microscopy for 3D tissue analysis with minimal photobleaching
Correlative light and electron microscopy (CLEM) for ultrastructural context
Single-cell analysis applications:
Coupling with single-cell transcriptomics for multi-omic profiling
Mass cytometry (CyTOF) incorporation for high-dimensional protein analysis
Spatial transcriptomics integration to correlate protein localization with gene expression
Microfluidic approaches for dynamic analysis of membrane protein trafficking
Functional probing methodologies:
Optogenetic integration for real-time manipulation of TMEM56 function
CRISPR-based screening combined with antibody detection
Live-cell antibody-based biosensors for dynamic functional studies
Antibody-drug conjugates for targeted functional manipulation
Artificial intelligence applications:
Machine learning algorithms for automated quantification of staining patterns
Deep learning approaches for predictive modeling of protein interactions
Computer vision techniques for high-throughput image analysis
Integrative data analysis frameworks combining antibody-based data with other omics