TMEM173/STING is a 40-42 kDa 4-transmembrane protein that functions as a facilitator of innate immune signaling, promoting the production of type I interferons (IFN-alpha and IFN-beta). It plays a critical role in innate immune responses triggered by non-CpG double-stranded DNA from viruses and bacteria delivered to the cytoplasm. STING activates both NF-kappa-B and IRF3 transcription pathways to induce expression of type I interferons, thereby establishing an anti-viral state . Additionally, it may be involved in translocon function, potentially influencing type I interferon induction, and mediates death signaling via activation of the extracellular signal-regulated kinase (ERK) pathway . The significance of TMEM173 extends to pathological conditions, as mutations in the TMEM173 gene have been associated with STING-associated vasculopathy with onset in infancy (SAVI), an autoinflammatory disease characterized by early-onset inflammation leading to severe skin lesions .
TMEM173 Antibody, Biotin conjugated is utilized in multiple research applications:
Enzyme-Linked Immunosorbent Assay (ELISA): Typically used at dilutions of 1:500-1000 for detecting TMEM173 in various sample types .
Immunohistochemistry (IHC):
Flow Cytometry: For intracellular staining of TMEM173 in various cell types, including human peripheral blood mononuclear cell (PBMC) monocytes, THP-1, and U937 cell lines, following fixation with paraformaldehyde and permeabilization with saponin .
Western Blot: For detection of TMEM173 at approximately 37-40 kDa in human cell lysates, particularly from immune cell lineages like THP-1 and U937 .
Immunoprecipitation: Effective at approximately 2 μg/mL when targeting TMEM173 in cell lysates such as PMA-treated THP-1 cells .
TMEM173/STING exhibits a complex subcellular distribution pattern, primarily localized to the cytoplasm and cell membrane . It has been reported to associate with the endoplasmic reticulum and potentially mitochondria, as suggested by some of its alternative names: Endoplasmic reticulum interferon stimulator (ERIS) and Mitochondrial mediator of IRF3 activation . This subcellular distribution is critical for its function in innate immune signaling. When selecting antibodies for immunostaining applications, researchers must consider the need for membrane permeabilization protocols to access intracellular epitopes. For applications targeting TMEM173, fixation with paraformaldehyde followed by permeabilization with saponin has been successfully employed in flow cytometry studies . When designing experiments, the accessibility of the epitope in its native conformation must be considered, particularly for transmembrane proteins like TMEM173.
The human TMEM173 gene displays significant heterogeneity and population stratification that must be considered when designing experiments. The R232 variant is the most common human TMEM173 allele, but more than 50% of Americans are not R232/R232 homozygous . The second most common allele is HAQ (R71H-G230A-R293Q), and while R232/R232 is the dominant genotype in Europeans, R232/HAQ is most common in East Asians .
Research has shown that homozygous HAQ individuals account for approximately 16.1% of East Asians and 2.8% of Europeans, while being virtually absent in African populations . Importantly, HAQ/HAQ carriers express extremely low MPYS/STING protein levels and show decreased TMEM173 transcript expression, resulting in minimal response to cyclic dinucleotides . When designing experiments involving TMEM173 detection or functional studies, researchers must consider:
The genetic background of cell lines or primary cells used
Potential differences in antibody binding efficiency to different TMEM173 variants
Variations in protein expression levels across different genetic backgrounds
The need for genotyping samples when studying functional responses dependent on TMEM173
Optimizing Western blot protocols for TMEM173 Antibody, Biotin conjugated requires careful consideration of several parameters:
Sample Preparation:
Gel Electrophoresis and Transfer:
Use PVDF membranes for optimal protein binding and signal strength
TMEM173 is detected at approximately 37-40 kDa; ensure appropriate molecular weight markers
Consider gradient gels (10-12%) for better resolution in this molecular weight range
Antibody Concentration and Detection:
Optimal primary antibody concentration: 0.2 μg/mL as demonstrated in successful experiments
Secondary detection: Use HRP-conjugated anti-species antibodies (such as Anti-Mouse IgG for mouse monoclonal antibodies)
For biotin-conjugated antibodies, use streptavidin-HRP for detection
Include positive controls like THP-1 or U937 human cell lysates, which show good TMEM173 expression
Signal Development:
Use enhanced chemiluminescence (ECL) for sensitive detection
Optimize exposure times based on signal strength to avoid saturation
To validate specificity, consider running parallel blots with isotype controls and samples known to have differential TMEM173 expression levels.
For optimal intracellular TMEM173 staining, especially in flow cytometry applications, the following protocol has been validated:
Cell Preparation:
For suspension cells (e.g., THP-1, U937, PBMCs): Collect cells at concentration of 1-10 × 10^6 cells/mL
For adherent cells: Detach using enzyme-free dissociation buffers to preserve surface epitopes
Fixation:
Paraformaldehyde (PFA) fixation: Use 4% PFA for 10-15 minutes at room temperature
This preserves cellular structure while enabling antibody access to intracellular compartments
Permeabilization:
Antibody Staining:
Detection:
This protocol has been validated on multiple cell types including human peripheral blood mononuclear cell (PBMC) monocytes, THP-1 human acute monocytic leukemia cell line, and U937 human histiocytic lymphoma cell line .
Validating antibody specificity is critical for reliable research results. For TMEM173 Antibody, Biotin conjugated, implement these validation approaches:
Positive and Negative Controls:
Isotype Controls:
Multiple Detection Methods:
Cross-validate results using different techniques (Western blot, flow cytometry, immunoprecipitation)
Compare detection using antibodies targeting different epitopes of TMEM173
Immunoprecipitation Validation:
Comparison with Gene Expression Data:
Blocking Peptide Competition:
Implementing these validation strategies provides confidence in the specificity of TMEM173 antibody detection across different experimental applications.
To maintain optimal activity of TMEM173 Antibody, Biotin conjugated, the following storage conditions are recommended:
Temperature:
Storage Buffer Composition:
Aliquoting:
Upon receipt, divide into small single-use aliquots to minimize freeze-thaw cycles
Store working aliquots at 4°C for up to one week if in frequent use
Handling Precautions:
Avoid exposure to light, particularly important for biotin-conjugated antibodies
Centrifuge briefly before opening vials to collect solution at the bottom
Use sterile techniques when handling to prevent contamination
Reconstitution (if applicable):
For lyophilized antibodies, reconstitute using sterile water or buffer as recommended
Allow complete dissolution before aliquoting
When stored properly at -20°C, TMEM173 antibodies typically maintain activity for at least 12 months from the date of receipt .
Studying TMEM173 genetic variants such as HAQ (R71H-G230A-R293Q) using biotin-conjugated antibodies requires specialized experimental approaches:
Comparative Expression Analysis:
Western blot analysis of TMEM173 expression in cells with known genotypes:
Flow cytometry quantification comparing mean fluorescence intensity across genotypes
Immunohistochemistry to assess tissue expression patterns in different genetic backgrounds
Correlation with Functional Responses:
Population-Specific Considerations:
Transcript vs. Protein Analysis:
Epitope Accessibility Considerations:
This multi-faceted approach allows for comprehensive analysis of how genetic variants influence TMEM173 expression and function across different experimental systems and population groups.
Investigating TMEM173 signaling pathways in primary cells requires specialized techniques that maintain physiological relevance while enabling detailed molecular analysis:
Isolation and Characterization of Primary Cells:
Stimulation Protocols:
Cyclic dinucleotide (CDN) stimulation: Use cell-permeable CDNs like 2'3'-cGAMP
DNA-mediated activation: Transfect primary cells with dsDNA using appropriate methods
Monitor kinetics of activation: Examine early (minutes to hours) and late (hours to days) responses
Multi-parameter Analysis:
Phospho-flow cytometry: Measure phosphorylation of downstream targets (IRF3, TBK1, STAT1)
Combine with TMEM173 staining to correlate expression with activation status
Multiplexed cytokine analysis: Measure IFN-β, IL-6, and other inflammatory cytokines
Real-time Imaging Approaches:
Live-cell imaging of TMEM173 trafficking using fluorescently tagged antibodies or fusion proteins
Super-resolution microscopy to examine co-localization with other signaling components
FRET-based reporters to detect protein-protein interactions in the pathway
Single-cell Analysis:
Genetic Background Considerations:
These approaches allow for detailed characterization of TMEM173 signaling in physiologically relevant primary cells while accounting for genetic and cellular heterogeneity.
TMEM173 antibodies are valuable tools for investigating STING-associated vasculopathy with onset in infancy (SAVI), an autoinflammatory disease caused by gain-of-function mutations in the TMEM173 gene . Here are methodological approaches for such studies:
Patient-Derived Cell Analysis:
Mutation-Specific Studies:
Generate cell models expressing SAVI-associated TMEM173 mutations
Use immunoprecipitation (2 μg/mL antibody) followed by Western blot to:
Compare subcellular localization of wild-type vs. mutant TMEM173
Functional Assessment:
Measure constitutive type I interferon production
Assess NF-κB and IRF3 activation states
Correlate TMEM173 expression (using antibody detection) with downstream signaling activity
Evaluate effects of potential therapeutic compounds on TMEM173 signaling
Tissue Analysis in Animal Models:
Biomarker Development:
Evaluate TMEM173 as a potential biomarker for disease activity
Correlate antibody-detected TMEM173 levels with clinical parameters
Develop standardized flow cytometry panels including TMEM173 detection
These approaches enable comprehensive investigation of SAVI pathophysiology and potential therapeutic interventions targeting the TMEM173/STING pathway.
Multiplex detection of TMEM173 with other immune markers provides valuable insights into the contextual role of STING in immune responses. Here are key considerations for developing effective multiplex panels:
Panel Design Strategy:
Combine TMEM173 with markers of:
Cell lineage (CD3, CD19, CD14, CD11c)
Activation status (CD69, CD25, HLA-DR)
Related signaling molecules (TBK1, IRF3, STAT1)
Consider cellular localization when selecting markers (membrane, cytoplasmic, nuclear)
Technical Considerations for Biotin-Conjugated TMEM173 Antibody:
Avoid other biotin-conjugated antibodies in the panel to prevent cross-reactivity
Use streptavidin conjugated to a unique fluorophore not overlapping with other markers
If using fluorophore-labeled streptavidin, add it in a separate step after all other antibodies
Fixation and Permeabilization Optimization:
Balance requirements for intracellular TMEM173 detection with preservation of other markers
Paraformaldehyde fixation followed by saponin permeabilization works well for TMEM173
Consider sequential staining protocols:
Stain surface markers
Fix and permeabilize
Stain intracellular markers including TMEM173
Spectral Considerations:
For flow cytometry: Place TMEM173 detection in bright channels if expression is low
For imaging: Select fluorophores with minimal spectral overlap
Include appropriate controls for spectral compensation
Validation Requirements:
Single-stain controls for each marker
Fluorescence-minus-one (FMO) controls to set accurate gates
Isotype controls to assess non-specific binding
Biological controls with known expression patterns
Data Analysis Approaches:
Use dimensionality reduction techniques (tSNE, UMAP) to visualize relationships
Apply clustering algorithms to identify cell populations with co-expression patterns
Correlate TMEM173 expression with functional readouts
By carefully addressing these considerations, researchers can effectively incorporate TMEM173 Antibody, Biotin conjugated into multiplex panels for comprehensive immune phenotyping.
Variability in TMEM173 expression can stem from multiple factors that must be considered during experimental design and data interpretation:
Genetic Variation:
The human TMEM173 gene exhibits significant heterogeneity with population stratification
The HAQ (R71H-G230A-R293Q) allele carriers show extremely low TMEM173 protein expression
Homozygous HAQ individuals account for ~16.1% of East Asians and ~2.8% of Europeans
Genotyping samples for TMEM173 variants can explain expression differences
Cell Type-Specific Expression:
Activation State:
TMEM173 expression can be modulated by cellular activation
Stimulation with TLR ligands, interferons, or other inflammatory mediators may alter expression
Document treatment conditions and activation markers when reporting TMEM173 levels
Technical Factors:
Antibody concentration: Ensure consistent application (e.g., 0.2 μg/mL for Western blot)
Fixation/permeabilization: Incomplete permeabilization reduces detection of intracellular epitopes
Signal-to-noise ratio: Background from non-specific binding can mask true expression differences
Sample processing: Time between collection and analysis can affect protein stability
Analytical Considerations:
Flow cytometry: Use appropriate controls to set positive/negative boundaries
Western blot: Include loading controls (β-actin, GAPDH) to normalize for total protein
Quantification method: Mean fluorescence intensity vs. percent positive cells can yield different results
Understanding these sources of variability allows for proper experimental design with appropriate controls and accurate interpretation of TMEM173 expression data across different experimental conditions and sample types.
Non-specific binding can compromise the reliability of TMEM173 detection. Here are methodological approaches to minimize this issue:
Optimized Blocking Protocols:
Use effective blocking agents:
1-5% BSA in PBS or TBS
5-10% normal serum from the same species as the secondary antibody
Commercial blocking buffers optimized for biotin-conjugated antibodies
Extend blocking time to 1-2 hours at room temperature or overnight at 4°C
Include blocking agent in antibody dilution buffer
Titration of Antibody Concentration:
Perform antibody titration experiments to identify optimal concentration
For Western blot: Start with recommended 0.2 μg/mL and adjust as needed
For immunocytochemistry: Test range around recommended 8-25 μg/mL
For flow cytometry: Compare signal-to-noise ratio at various concentrations around 0.25 μg per 10^6 cells
Validation with Controls:
Reduction of Endogenous Biotin Interference:
Include avidin/biotin blocking step if using biotin-rich tissues
Use commercial avidin/biotin blocking kits before applying biotin-conjugated antibodies
Consider streptavidin/biotin blocking systems for tissues with high endogenous biotin
Optimization of Wash Steps:
Increase number of washes after antibody incubation
Use detergent-containing wash buffers (0.05-0.1% Tween-20)
Extend wash times to effectively remove unbound antibody
Secondary Detection Optimization:
For biotin-conjugated antibodies, titrate streptavidin-conjugate concentration
Use highly cross-adsorbed streptavidin reagents
Consider fluorophore or enzyme selection based on autofluorescence or endogenous enzyme activity
By systematically implementing these approaches, researchers can significantly reduce non-specific binding and improve the specificity of TMEM173 detection in various experimental systems.
When faced with contradictory results between different methods of TMEM173 detection, a systematic approach to reconciliation is required:
Method-Specific Considerations:
Epitope Accessibility Variations:
Expression Level Threshold Detection:
Methods vary in sensitivity
Western blot may detect aggregate protein in a sample while flow cytometry reports per-cell expression
Consider absolute detection limits of each method
Reconciliation Strategies:
Biological validation: Correlate results with functional readouts
Orthogonal approaches: Use alternative antibodies targeting different epitopes
Genetic validation: Test in systems with manipulated TMEM173 expression (overexpression, knockdown)
Cross-validation table:
| Finding | Western Blot | Flow Cytometry | Interpretation |
|---|---|---|---|
| Positive | Positive | Consistent results confirm expression | |
| Positive | Negative | Potential aggregate detection in Western blot or insufficient permeabilization in flow cytometry | |
| Negative | Positive | Possible antibody specificity issue or sample processing differences | |
| Negative | Negative | Consistent results suggest absence of expression |
Documentation and Reporting:
Robust experimental design for TMEM173 studies requires comprehensive controls to ensure reliable data interpretation:
Antibody Validation Controls:
Isotype Controls: Matched to the TMEM173 antibody class (e.g., IgG for polyclonal, IgG2a for monoclonal OTI4H1)
Peptide Competition: Pre-incubation with immunizing peptide should abolish specific signal
Genetic Controls: Cells with TMEM173 knockdown/knockout or HAQ/HAQ genotype with minimal expression
Cross-Reactivity Assessment: Test antibody on cells from different species if claiming cross-reactivity
Expression Analysis Controls:
Positive Expression Controls: THP-1 and U937 human cell lines show reliable TMEM173 expression
Loading Controls: β-actin, GAPDH, or total protein stains for Western blot normalization
Technical Replicates: Minimum of three independent experiments to assess reproducibility
Biological Replicates: Samples from multiple donors to account for genetic variability
Functional Assay Controls:
Positive Stimulation Controls: Known STING agonists (e.g., 2'3'-cGAMP, DMXAA for mouse)
Negative Controls: Structurally similar but inactive compounds
Pathway Inhibition: TBK1 inhibitors (e.g., BX795) to confirm STING-dependent signaling
Genotype Controls: Compare wild-type (R232/R232) with HAQ variant carriers
Genetic Background Considerations:
Data Acquisition Controls:
For Flow Cytometry:
Unstained controls
Single-stain compensation controls
Fluorescence-minus-one (FMO) controls
Consistent instrument settings across experiments
For Western Blot:
Molecular weight markers
Concentration gradients to confirm linearity of detection
Consistent exposure parameters for quantitative comparisons
Implementing these controls ensures that experimental findings related to TMEM173 can be interpreted with confidence and facilitates comparison of results across different studies and laboratories.