TMEM31 is a multi-pass transmembrane protein with conserved structural features across species, though its precise biological function remains under investigation . Antibodies targeting TMEM31 are typically polyclonal, produced in rabbits using recombinant human TMEM31 protein fragments (e.g., residues 1-118) . Key biochemical properties include:
TMEM31 antibodies have been validated for multiple experimental techniques:
TMEM31 exhibits characteristics of cancer/testis (CT) antigens:
Expression Pattern: Restricted to testis (Leydig cells) and placenta in healthy tissues
Cancer Association: Expressed in 63.16% of melanoma cases (n=190), with significantly higher levels in metastatic (76.56%) versus primary tumors (56.35%; P=0.017)
Functional Role: Promotes melanoma metastasis through undetermined mechanisms
Oncology: Potential therapeutic target for metastatic melanoma immunotherapy
Neurodegeneration: Hypothesized role in membrane dynamics affecting neuronal cells
Autophagy Regulation: Suggested involvement in cellular recycling processes
TMEM31 is a transmembrane protein involved in intracellular trafficking and membrane dynamics. It has gained significant research interest due to its classification as a cancer/testis (CT) antigen - proteins predominantly expressed in normal testis tissue but aberrantly expressed in various malignancies . TMEM31 shows restricted expression in healthy tissues (primarily testis) but elevated expression in certain cancers, particularly during melanoma metastasis . This expression pattern makes it a promising target for cancer immunotherapy, diagnostic development, and biological investigations into cancer progression mechanisms.
The protein plays a role in several cellular processes and may have implications in various pathological conditions including cancer, neurodegenerative disorders, and metabolic diseases . Recent studies have identified TMEM31 as particularly relevant in melanoma research, with expression levels increasing during metastatic progression .
TMEM31 antibodies are utilized across multiple experimental techniques:
These applications enable researchers to detect, localize, and quantify TMEM31 expression in diverse experimental settings, from tissue sections to cell cultures and protein extracts .
When selecting a TMEM31 antibody, researchers should consider:
Antibody type: Most available TMEM31 antibodies are polyclonal, derived from rabbits immunized with recombinant human TMEM31 protein (typically amino acids 1-118) . Polyclonals offer high sensitivity but potentially lower specificity than monoclonals.
Validated applications: Confirm the antibody has been validated for your intended application. Review published validation data, including images of expected staining patterns .
Species reactivity: Most TMEM31 antibodies show reactivity primarily with human samples, with limited cross-reactivity to other species .
Conjugation: Consider whether native (unconjugated) or conjugated (FITC, HRP) antibodies better suit your experimental design .
Epitope region: For membrane proteins like TMEM31, epitope accessibility in your experimental conditions is critical.
Comprehensive validation should include:
Positive and negative controls: Use testis tissue as a positive control and other normal tissues as negative controls .
Concentration optimization: Perform titration experiments to determine optimal working concentration for your specific application.
Specificity validation:
Western blot analysis showing expected molecular weight
Testing in TMEM31 knockdown/knockout models
Preabsorption with recombinant TMEM31 protein
Comparative analysis: When possible, validate results with multiple antibodies targeting different TMEM31 epitopes.
Method comparison: Correlate protein detection with mRNA expression data to confirm specificity.
Fixation: Formalin-fixed paraffin-embedded (FFPE) samples with standard processing
Antigen retrieval: Heat-induced epitope retrieval in citrate buffer (pH 6.0)
Blocking: 5-10% normal serum from secondary antibody host species
Primary antibody: Dilute 1:20-1:200 in blocking buffer; incubate overnight at 4°C
Detection system: HRP-conjugated secondary antibody or polymer detection system
Counterstain: Hematoxylin for nuclear visualization
Fixation: 4% paraformaldehyde for 15-20 minutes
Permeabilization: 0.1-0.2% Triton X-100 for 10 minutes
Primary antibody: Dilute 1:50-1:200; incubate overnight at 4°C
Secondary detection: Fluorophore-conjugated secondary antibodies or direct detection if using conjugated primary antibodies like TMEM31-FITC
Counterstain: DAPI for nuclear visualization
For optimal TMEM31 detection in HepG2 cells, researchers have successfully used a 1:100 dilution with Alexa Fluor 488-conjugated secondary antibodies .
| Issue | Potential Causes | Solutions |
|---|---|---|
| Low signal | Insufficient antibody concentration | Increase antibody concentration or incubation time |
| Inadequate antigen retrieval | Optimize antigen retrieval method/duration | |
| Low TMEM31 expression | Consider signal amplification systems | |
| High background | Excessive antibody concentration | Titrate antibody to optimal concentration |
| Insufficient blocking | Increase blocking duration/concentration | |
| Non-specific binding | Try different blocking agents (BSA, normal serum) | |
| Inconsistent results | Variable fixation | Standardize fixation duration and conditions |
| Antibody degradation | Aliquot antibodies and avoid freeze-thaw cycles | |
| Sample heterogeneity | Increase sample size and technical replicates |
For storage and handling, TMEM31 antibodies should be aliquoted and stored at -20°C or -80°C to avoid repeated freeze-thaw cycles . For conjugated antibodies (FITC), protection from light is essential to prevent fluorophore degradation .
TMEM31's emerging role as a potential biomarker for melanoma progression offers several research applications:
Expression profiling across tumor stages: Using IHC with TMEM31 antibodies, researchers have observed significantly higher expression in metastatic melanoma compared to primary melanoma (integrated optical density analysis: 0.24±0.03 vs. 0.09±0.01; p<0.001) .
Metastasis mechanism investigation: Studying TMEM31's function in cell migration, invasion, and cellular signaling during metastatic progression.
Patient stratification: Evaluating TMEM31 expression (76.56% in metastatic vs. 56.35% in primary melanoma; p=0.017) as a potential prognostic biomarker .
Therapeutic target validation: Using antibodies to confirm target accessibility in tumor models prior to developing targeted therapies.
Vaccine development research: TMEM31 has been identified as a target for multiepitope cancer vaccines against melanoma, with specific immunodominant fragments (residues 32-62, 77-105, and 125-165) selected for vaccine design .
When incorporating TMEM31 antibodies into multiplexed immunofluorescence or other multiparameter detection systems:
Panel design: Combine with markers relevant to your research question:
For cancer research: Proliferation markers (Ki-67), cancer stem cell markers (CD44)
For subcellular localization: Membrane compartment markers
Technical compatibility:
Antibody host species should be considered to avoid cross-reactivity
For spectral imaging, select fluorophores with minimal spectral overlap
If using multiple rabbit antibodies, consider sequential staining with stripping
Validation requirements:
Validate each antibody individually before multiplexing
Compare multiplex results with single staining to ensure consistency
Include appropriate controls for each parameter
Analysis methods:
Develop standardized quantification approaches
Consider automated image analysis for objective quantification
Validate results across multiple tissue sections or experimental replicates
Combining antibody-based detection with genetic approaches provides complementary insights:
CRISPR-Cas9 modification: TMEM31 guide RNAs designed by the Zhang laboratory at the Broad Institute are available for CRISPR-based gene editing . This enables:
Creating knockout cell lines for antibody validation
Studying phenotypic effects of TMEM31 depletion
Engineering reporter systems for live-cell imaging
Overexpression systems: Transfecting cells with TMEM31 expression constructs to:
Create positive controls for antibody validation
Investigate effects of TMEM31 upregulation
Test structure-function relationships with mutated variants
Multi-omics integration: Combining antibody-based protein detection with:
Transcriptomic analysis (RNA-seq, qPCR)
Epigenetic studies (ChIP-seq, methylation analysis)
Proteomic approaches (mass spectrometry, protein arrays)
Recent developments in antibody engineering relevant to TMEM31 research include:
Machine learning for antibody design: Computational approaches combining deep learning and multi-objective linear programming have shown promise for optimizing antibody properties . For TMEM31, this could enable:
Design of higher-affinity antibodies
Development of antibodies with novel specificities
Creation of cross-reactive antibodies for comparative species studies
Affinity engineering approaches: Methods utilizing antibody repertoire data and ML for antibody affinity engineering have demonstrated success in recent studies . These approaches could:
Enhance detection sensitivity for low-abundance TMEM31
Improve specificity for particular TMEM31 epitopes or conformations
Enable discrimination between closely related protein family members
Bispecific antibody development: Platforms for creating bispecific antibodies could be applied to TMEM31 research to:
Simultaneously target TMEM31 and immune effector cells
Enhance detection through dual epitope recognition
Develop therapeutic antibodies targeting TMEM31 in combination with other tumor markers
Robust quantification strategies include:
Semi-quantitative scoring systems:
H-score (combines intensity and percentage of positive cells)
Allred score (combines proportion and intensity scores)
These systems should be validated through inter-observer reproducibility testing
Digital image analysis:
Whole slide imaging with automated analysis algorithms
Standardized acquisition parameters (exposure, gain)
Appropriate segmentation for nuclear, cytoplasmic, and membrane staining
Statistical considerations:
Sample size calculations based on expected effect size
Appropriate statistical tests for expression comparisons
Multi-variable analysis to account for confounding factors
Reporting standards:
Document antibody details (manufacturer, clone, dilution)
Describe scoring methodology in detail
Include representative images spanning the scoring range
When faced with discrepancies between antibody-based detection and other methods:
Technical validation:
Verify antibody specificity through additional controls
Test multiple antibodies targeting different epitopes
Review fixation and antigen retrieval methods
Biological considerations:
Evaluate post-translational modifications affecting antibody binding
Consider protein stability versus mRNA stability differences
Assess potential splice variants or protein isoforms
Methodological resolution approaches:
Proximity ligation assays to confirm protein-protein interactions
Subcellular fractionation to resolve localization discrepancies
Correlation with functional assays to understand biological significance
Integrated analysis:
Triangulate results using multiple complementary methods
Consider temporal factors in protein versus mRNA expression
Evaluate cell type-specific expression patterns in heterogeneous samples
Emerging translational applications include:
Liquid biopsy development: Exploring TMEM31 detection in circulating tumor cells or extracellular vesicles for minimally invasive cancer monitoring.
Theranostic approaches: Developing TMEM31 antibodies conjugated to both imaging agents and therapeutic payloads for simultaneous diagnosis and treatment.
Immunotherapy applications: Creating TMEM31-targeted vaccines, CAR-T cells, or antibody-drug conjugates, leveraging its cancer/testis antigen status.
Precision medicine stratification: Using TMEM31 expression patterns to guide therapy selection in metastatic melanoma or other TMEM31-expressing cancers.
Despite progress, several knowledge gaps persist:
Functional characterization: Limited understanding of TMEM31's normal biological function and its role in cancer progression.
Interacting partners: Few studies have identified proteins that interact with TMEM31 or signaling pathways it influences.
Cross-reactivity: Limited validation of antibody specificity across closely related protein family members.
Therapeutic potential: Early-stage exploration of TMEM31 as a therapeutic target, with need for validation in diverse preclinical models.
Clinical correlation: Preliminary evidence linking TMEM31 expression to clinical outcomes requires validation in larger cohorts with diverse patient populations.