The TMEM186 antibody is a specialized research tool designed to detect the transmembrane protein 186 (TMEM186), a critical component of the mitochondrial complex I assembly machinery. TMEM186 is integral to the mitochondrial inner membrane and plays a role in the biogenesis of the ND2 and ND3 modules of complex I, a key enzyme in the electron transport chain . Antibodies targeting TMEM186 are widely used in molecular biology applications, including Western blotting (WB), immunohistochemistry (IHC), and enzyme-linked immunosorbent assay (ELISA).
Host and Reactivity: All listed antibodies are rabbit-derived and target human TMEM186, with some cross-reactivity to mouse (e.g., ABIN6066553 ).
Conjugates: Options include HRP, FITC, and biotin for versatile detection methods.
Validation: Products are validated using recombinant proteins or tissue arrays to ensure specificity .
Functional studies highlight TMEM186’s role in mitochondrial complex I assembly:
TMEM186 is part of the MCIA complex, which stabilizes nascent mitochondrial complex I subunits during assembly. Its absence delays assembly kinetics but does not completely block complex I formation .
The TMEM186 antibody is employed in:
KEGG: dre:799142
UniGene: Dr.120199
TMEM186 (Transmembrane Protein 186) is a mitochondrial transmembrane protein expressed in human and mouse tissues. While specific functional characterization is still emerging in scientific literature, antibodies against TMEM186 are used to study its expression, localization, and potential roles in cellular processes. The protein is primarily localized to mitochondria, as indicated by background information provided by antibody manufacturers . Understanding TMEM186's subcellular localization is crucial for experimental design and interpretation of immunostaining results. Researchers typically use multiple techniques including immunofluorescence with mitochondrial markers to confirm localization patterns.
Several types of TMEM186 antibodies are available for research purposes, with variations in:
Host species: Predominantly rabbit-derived polyclonal antibodies
Clonality: Primarily polyclonal antibodies that recognize multiple epitopes
Target epitopes: Different region-specific antibodies, including those targeting amino acids 124-213
Conjugation status: Available as unconjugated or conjugated to reporter molecules like FITC, HRP, or biotin
Reactivity: Most show reactivity against human TMEM186, with some cross-reacting with mouse TMEM186
These variations allow researchers to select antibodies appropriate for their specific experimental needs and detection systems.
TMEM186 antibodies have been validated for multiple experimental applications, including:
When selecting an antibody for a specific application, researchers should review the validation data provided by manufacturers and consider published literature where the antibody has been successfully employed.
Proper storage and handling of TMEM186 antibodies are critical for maintaining their functionality:
Storage temperature: Store at -20°C or -80°C for long-term preservation
Avoid repeated freeze-thaw cycles: This can compromise antibody integrity and performance
Buffer composition: Typically stored in a buffer containing preservatives (0.03% ProClin 300) and stabilizers (50% Glycerol, 0.01M PBS, pH 7.4)
Safety considerations: Handle with appropriate precautions, especially for antibodies containing ProClin, which is classified as a hazardous substance
Aliquoting: Prepare small working aliquots upon receipt to minimize freeze-thaw cycles
Following these storage and handling guidelines will help maintain antibody performance across experiments and extend shelf life.
Interpreting antibody specificity is essential for generating reliable research data:
Cross-reactivity profiles: Review the documented species cross-reactivity; most TMEM186 antibodies show reactivity against human proteins, with some cross-reacting with mouse TMEM186
Epitope information: Consider the specific region recognized (e.g., amino acids 124-213) and how this may affect detection in different experimental contexts
Validation methods: Evaluate the methods used to validate specificity, such as Western blotting with positive and negative controls
Purification methods: Higher purity antibodies (e.g., >95% Protein G purified) generally offer better specificity
Compare results from multiple antibodies: When possible, validate findings using antibodies targeting different epitopes of the same protein
Thorough evaluation of specificity data helps researchers select appropriate antibodies and correctly interpret experimental results.
Comprehensive antibody validation requires multiple complementary approaches:
Immunogen analysis: Compare the immunizing peptide sequence (e.g., 124-213AA of TMEM186) with homologous proteins to predict potential cross-reactivity
Multiple detection methods: Validate using orthogonal techniques (Western blot, IHC, IF) to ensure consistent detection patterns
Knockout/knockdown controls: Test antibody specificity in TMEM186-depleted or overexpressing systems
Peptide competition assays: Pre-incubate antibody with immunizing peptide to confirm specific binding is blocked
Cross-validation with multiple antibodies: Compare staining patterns from antibodies targeting different epitopes of TMEM186
Correlation with mRNA expression: Compare protein detection with RNA expression data to establish consistency
This multi-faceted approach to validation, similar to that employed for TMEM106B antibodies in neurological research , ensures reliable detection and minimizes false-positive/negative results.
Effective antigen retrieval is crucial for successful TMEM186 detection in fixed tissues:
Method selection: Evidence from similar transmembrane protein studies suggests formic acid (FA) treatment may be most effective for exposing TMEM186 epitopes
Parameter optimization:
Duration: Test different treatment times (e.g., 1-5 minutes for FA)
Temperature: Evaluate heat-induced epitope retrieval at varying temperatures
pH conditions: Test buffers at different pH values to optimize epitope exposure
Tissue-specific considerations: Different fixation methods and tissue types may require tailored retrieval protocols
Sequential retrieval: For difficult antigens, consider combining multiple retrieval methods
Antibody concentration optimization: Titrate antibody concentrations after establishing optimal retrieval conditions
When developing a new protocol, researchers should systematically test multiple conditions and document results quantitatively to determine optimal parameters.
When detecting low-abundance TMEM186 protein, several amplification strategies can improve sensitivity:
Signal amplification systems:
Incubation optimizations:
Extended primary antibody incubation times (overnight at 4°C)
Optimized antibody concentration through systematic titration
Background reduction strategies:
Data acquisition considerations:
Optimized microscope settings for low-abundance targets
Digital image enhancement without introducing artifacts
These approaches should be systematically tested and optimized for specific experimental conditions to maximize signal while maintaining specificity.
Troubleshooting inconsistent TMEM186 antibody performance requires systematic analysis:
Antibody quality issues:
Protocol optimization:
Adjust blocking conditions (agent type, concentration, duration)
Modify antibody dilution and incubation parameters
Evaluate washing stringency and duration
Sample-specific factors:
Assess tissue fixation methods and duration
Review sample preparation consistency
Consider antigen masking by interacting proteins
Controls implementation:
Include positive and negative tissue controls
Implement secondary-only controls to assess background
Consider peptide competition controls to confirm specificity
Cross-validation:
Compare results between different TMEM186 antibodies targeting distinct epitopes
Correlate with mRNA expression or other protein detection methods
Detailed documentation of troubleshooting steps creates a valuable resource for future experiments and protocol refinement.
Post-translational modifications (PTMs) can significantly impact TMEM186 antibody recognition:
Common PTMs affecting epitope accessibility:
Phosphorylation of serine/threonine/tyrosine residues
Glycosylation of asparagine (N-linked) or serine/threonine (O-linked) residues
Proteolytic processing creating distinct protein fragments
Antibody selection considerations:
Experimental strategies:
Enzymatic treatment to remove specific modifications before immunodetection
Combined use of modification-specific and total protein antibodies
Correlation with mass spectrometry data for comprehensive PTM analysis
Interpretation guidelines:
Different molecular weight bands in Western blots may indicate modified forms
Altered subcellular localization may result from specific modifications
Changes in staining patterns under different cellular conditions may reflect dynamic modifications
Understanding the relationship between PTMs and epitope recognition enables more accurate interpretation of antibody-based detection results.
Multiplexed immunofluorescence with TMEM186 antibodies requires careful planning:
Antibody compatibility assessment:
Sequential staining protocol:
Begin with lowest abundance target (often TMEM186)
Use tyramide signal amplification for signal preservation
Include thorough blocking between sequential antibody applications
Controls for multiplexed staining:
Single-color controls to assess bleed-through
Secondary-only controls for each fluorophore
Absorption controls with immunizing peptides
Co-localization analysis with cellular markers:
Image acquisition considerations:
Sequential scanning to minimize spectral overlap
Consistent exposure settings across experimental groups
Resolution appropriate for subcellular localization studies
These methodological considerations enable reliable co-localization analysis and expression profiling across different cell types.
Rigorous negative controls are essential for confirming TMEM186 antibody specificity:
Genetic knockout/knockdown controls:
CRISPR/Cas9-mediated TMEM186 knockout cell lines
siRNA or shRNA knockdown of TMEM186
Comparison of staining between wild-type and TMEM186-depleted samples
Peptide competition/absorption controls:
Secondary antibody-only controls:
Omit primary antibody while maintaining all other protocol steps
Assess background from secondary antibody binding
Irrelevant primary antibody controls:
Tissue/cell negativity controls:
Include samples with known absence of TMEM186 expression
Compare staining patterns across tissues with varying expression levels
Implementing these controls systematically provides compelling evidence for antibody specificity and enhances data reliability.
Quantitative analysis of TMEM186 immunohistochemistry requires robust statistical methods:
Image acquisition standardization:
Consistent staining protocol across all samples
Uniform image capture settings (exposure, gain, resolution)
Random field selection to avoid sampling bias
Quantification approaches:
For DAB staining: H-score, Allred score, or percent positive cells
For fluorescence: Mean fluorescence intensity (MFI) or integrated density
Thresholding methods should be standardized and documented
Statistical analysis recommendations:
Minimum sample size determination through power analysis
Normality testing before selecting parametric/non-parametric tests
Multiple comparison corrections for studies with numerous groups
Correlation analysis with other biomarkers or clinical parameters
Reporting standards:
Transparent methodology description
Inclusion of representative images for each scoring category
Detailed statistical test information and exact p-values
Confidence intervals for key measurements
Validation approaches:
Inter-observer concordance testing for manual scoring
Comparison between automated and manual quantification
Correlation with orthogonal measurements (e.g., Western blot, qPCR)
These statistical considerations ensure reproducible and reliable quantitative analysis of TMEM186 expression patterns.
Comparative analysis of different TMEM186 antibodies provides valuable insights:
Epitope-dependent detection patterns:
Antibodies targeting amino acids 124-213 may yield different staining patterns than those targeting other regions
Accessibility of epitopes may vary depending on protein conformation, interactions, or modifications
Similar to findings with TMEM106B antibodies targeting different residues (188-211 vs. 239-250)
Application-specific performance differences:
Some epitopes may be better preserved in fixed tissues
Denaturation-sensitive epitopes may work better in Western blot than IHC
Conformational epitopes may be superior for detecting native protein
Interpretation guidelines:
Concordant results from multiple antibodies provide stronger evidence
Discrepancies may reveal biologically relevant protein variants or modifications
Consider epitope masking by protein-protein interactions
Selection strategies for specific research questions:
Use multiple antibodies targeting different regions for comprehensive analysis
Select epitope-specific antibodies when studying protein processing or variants
Consider using antibody panels for complex experimental designs
This comparative approach enhances detection reliability and may reveal important biological information about TMEM186 structure and processing.
Strategic selection between different TMEM186 antibody formats depends on experimental requirements:
Additional selection considerations include:
Detection system compatibility:
Microscopy filter sets available for fluorescent conjugates
Enzyme substrates available for enzymatic conjugates
Secondary reagent availability for unconjugated antibodies
Sensitivity requirements:
Signal amplification needs for low-abundance targets
Background concerns in specific tissues or applications
Direct vs. indirect detection trade-offs
Multiplexing requirements:
Host species compatibility with other primary antibodies
Spectral overlap considerations for fluorescent conjugates
Sequential staining feasibility
Informed selection between formats optimizes detection sensitivity while minimizing technical complications.
Integrative analysis enhances the value of TMEM186 antibody-generated data:
Correlation with transcriptomic data:
Integration with proteomic datasets:
Correlate antibody-based detection with mass spectrometry quantification
Compare PTM detection between antibody-based and MS-based methods
Use proteomics to identify TMEM186 interaction partners
Functional genomics correlation:
Connect TMEM186 expression patterns with cellular phenotypes
Integrate with CRISPR screening or RNAi functional data
Correlate with metabolic profiles for mitochondrial function assessment
Multi-omics data integration approaches:
Pathway analysis incorporating protein, transcript, and functional data
Network analysis to position TMEM186 in biological pathways
Machine learning to identify patterns across multi-modal datasets
Visualization and analysis tools:
Hierarchical clustering of multi-parameter data
Dimension reduction techniques for pattern recognition
Interactive visualization platforms for exploratory analysis
This integrative approach provides a more comprehensive understanding of TMEM186 biology than any single method alone.
Several emerging technologies show promise for advancing TMEM186 antibody applications:
Advanced microscopy techniques:
Super-resolution microscopy for precise subcellular localization
Expansion microscopy for improved spatial resolution of mitochondrial proteins
Live-cell imaging with cell-permeable nanobodies or FLIP approaches
Single-cell protein analysis:
Mass cytometry (CyTOF) for single-cell protein quantification
Single-cell western blotting for heterogeneity assessment
Proximity ligation assays for protein interaction studies
Spatial transcriptomics integration:
Combined antibody detection with spatial transcriptomics
Correlation of protein localization with local gene expression
Cell-type-specific expression pattern mapping
Advanced antibody development:
Recombinant antibody engineering for improved specificity
Site-specific conjugation strategies for enhanced performance
Nanobody development for applications requiring small probes
Computational advances:
Deep learning for automated image analysis
Integrative bioinformatics pipelines for multi-parameter data
Predictive modeling of protein-antibody interactions
Researchers should monitor these technological developments for opportunities to enhance TMEM186 detection sensitivity, specificity, and information content.
Reconciling contradictory results requires systematic investigation:
Technical discrepancy assessment:
Biological interpretation considerations:
Epitope accessibility differences due to protein conformation
Post-translational modifications affecting specific epitopes
Presence of splice variants or processed forms
Protein interactions masking specific regions
Validation approaches:
Side-by-side testing with standardized protocols
Genetic knockout/knockdown validation experiments
Orthogonal detection methods (mass spectrometry)
Combined use of multiple antibodies targeting different epitopes
Reporting recommendations:
Resolution strategies:
Design experiments to distinguish between technical and biological causes
Generate hypotheses regarding protein processing or modifications
Develop isoform-specific detection strategies
This systematic approach transforms contradictory findings into research opportunities that may reveal important biological insights about TMEM186.