TMEM143 Antibody is a polyclonal rabbit-derived antibody designed to detect transmembrane protein 143 (TMEM143), a mitochondrial transmembrane protein implicated in cancer regulation and lipid metabolism. This antibody is widely used in molecular biology research to study TMEM143’s cellular localization, expression, and functional roles in disease models.
The antibody’s versatility is demonstrated across experimental platforms:
Tissue Validation: Human placenta (antigen retrieval with TE buffer pH 9.0 or citrate buffer pH 6.0) .
Cellular Localization: Mitochondria, plasma membrane, and Golgi apparatus .
Tumor Suppression: TMEM143 interacts with ZNF541 and PNMAL2, genes linked to allelic loss in malignant gliomas, neuroblastomas, and ovarian carcinomas .
PPARγ Target: Associated with adipocyte differentiation and lipid metabolism, suggesting roles in metabolic reprogramming in cancer .
High Tissue Expression: Skeletal muscle, heart, and Jurkat cells .
Mitochondrial Localization: Integral membrane protein with a predicted N-terminal mitochondrial targeting peptide .
Below is a table comparing commercially available TMEM143 Antibodies:
TMEM143 (Transmembrane protein 143) is a mitochondrially-located transmembrane protein belonging to the TMEM protein family . This protein family is significant because its members play important roles in the development and metastasis of cancer, particularly in transmitting signals between the extracellular environment and cytoplasmic proteins . Research into TMEM143 is valuable for understanding mitochondrial biology and potential roles in disease pathways, especially in cancer research contexts where transmembrane signaling is critical for cellular transformation and metastasis.
TMEM143 antibodies have been validated for multiple experimental applications:
For optimal results, experimental conditions should be titrated for each specific application and sample type. TMEM143 antibodies have been successfully used to detect the protein in various human cell lines including HH, HepG2, Jurkat, and Ramos cells .
The calculated molecular weight of TMEM143 is 52 kDa, but the observed molecular weight typically ranges between 45-52 kDa in Western blot applications . This slight discrepancy between calculated and observed weights is common for transmembrane proteins due to post-translational modifications or the hydrophobic nature of membrane proteins affecting mobility during SDS-PAGE. When validating a new TMEM143 antibody, researchers should confirm bands within this range and consider using positive control samples like HepG2 or Jurkat cells where TMEM143 expression has been confirmed .
For maximum stability and activity retention, TMEM143 antibodies should be stored at -20°C . Under these conditions, the antibodies remain stable for approximately one year after shipment. The typical storage buffer consists of PBS with 0.02% sodium azide and 50% glycerol at pH 7.3 . Importantly, aliquoting is generally unnecessary for -20°C storage, which simplifies laboratory management. Some commercial preparations (typically in 20μl sizes) may contain 0.1% BSA as a stabilizer .
For successful immunohistochemical detection of TMEM143:
The alkaline pH method (TE buffer pH 9.0) typically provides better epitope exposure for many transmembrane proteins by more effectively breaking protein cross-links formed during fixation. For challenging tissue samples, extending the antigen retrieval time or testing both methods in parallel may help optimize signal-to-noise ratio. Human placenta tissue has been verified as a positive control for TMEM143 IHC applications .
A rigorous validation approach should include:
Multiple application testing: Confirm consistent results across Western blot, IHC and other intended applications
Positive controls: Use cell lines with confirmed TMEM143 expression (HH, HepG2, Jurkat, or Ramos cells)
Band size verification: Confirm the presence of bands at the expected 45-52 kDa range
Peptide competition assay: Pre-incubate the antibody with the immunizing peptide to demonstrate signal reduction
Knockout/knockdown validation: If possible, test in TMEM143 knockout/knockdown samples to confirm absence of signal
Cross-reactivity assessment: Test on samples from other species if relevant to research
This multifaceted approach provides robust evidence of antibody specificity before proceeding with critical experiments.
For optimal Western blot results when detecting TMEM143:
Sample preparation: Include protease inhibitors during cell/tissue lysis to prevent protein degradation
Protein loading: Load 20-40 μg of total protein per lane
Gel percentage: Use 10-12% SDS-PAGE gels for optimal resolution in the 45-52 kDa range
Transfer conditions: Semi-dry or wet transfer at 100V for 60-90 minutes
Blocking: 5% non-fat milk or BSA in TBST for 1 hour at room temperature
Primary antibody: Dilute TMEM143 antibody 1:500-1:1000 in blocking buffer
Incubation: Overnight at 4°C with gentle agitation
Detection system: HRP-conjugated secondary antibody with ECL detection
Following this methodology helps ensure consistent and specific detection of TMEM143 protein in Western blot applications.
As TMEM143 is localized to mitochondria , its antibodies can be valuable tools for investigating mitochondrial biology:
Co-localization studies: Combine TMEM143 antibodies with known mitochondrial markers (e.g., MitoTracker, TOMM20) to study spatial distribution
Mitochondrial fractionation: Use TMEM143 as a marker to validate mitochondrial isolation protocols
Stress response: Examine TMEM143 expression changes under mitochondrial stress conditions (e.g., oxidative stress, ETC inhibitors)
Mitophagy research: Investigate potential changes in TMEM143 during mitochondrial quality control processes
Protein interaction studies: Use co-immunoprecipitation with TMEM143 antibodies to identify interaction partners within the mitochondrial membrane
These approaches can provide insights into the functional role of TMEM143 in mitochondrial biology and potentially reveal connections to cellular pathways affected in disease states.
Given the connection between TMEM family proteins and cancer , researchers can utilize TMEM143 antibodies in several advanced cancer research applications:
Expression profiling: Compare TMEM143 levels across cancer cell lines and matched normal tissues
Tissue microarray analysis: Perform IHC on cancer tissue microarrays to correlate expression with clinical parameters
Functional studies: Combine antibody detection with knockdown/overexpression models to assess phenotypic changes
Signaling pathway investigation: Examine relationships between TMEM143 and known cancer signaling pathways
Drug response monitoring: Track TMEM143 expression changes in response to therapeutic agents
Extracellular vesicle research: Investigate TMEM143 presence in cancer-derived exosomes or microvesicles
These approaches can help elucidate potential roles of TMEM143 in cancer development, progression, or treatment response.
When incorporating TMEM143 antibodies into multiplex immunofluorescence panels:
Antibody species selection: Choose primary antibodies raised in different host species to avoid cross-reactivity
Epitope compatibility: Ensure that antibodies target non-overlapping epitopes when studying multiple aspects of TMEM143
Fluorophore selection: Consider spectral overlap and design panels with sufficient separation between fluorophores
Signal strength balancing: Adjust antibody concentrations to balance signals from high and low-abundance targets
Fixation optimization: Test different fixation protocols as they can differentially affect epitope preservation
Sequential staining: For challenging combinations, consider sequential staining with stripping steps
Validation controls: Include single-stain controls to verify specificity in the multiplex context
These considerations help ensure reliable and interpretable results when studying TMEM143 alongside other proteins of interest.
When facing detection challenges in TMEM143 Western blots:
These systematic approaches help troubleshoot common issues encountered when detecting TMEM143 in Western blot applications.
Common challenges in TMEM143 IHC applications include:
Weak or variable staining:
Nonspecific background:
Implement additional blocking steps (avidin/biotin block if using biotin-based detection)
Extend washing steps and increase wash buffer volume
Pre-absorb antibodies with tissue powder
Include appropriate controls to distinguish specific from nonspecific signals
Tissue-specific challenges:
For highly autofluorescent tissues, use Sudan Black B treatment
For high endogenous peroxidase activity, extend hydrogen peroxide blocking
For tissues with high fat content, optimize deparaffinization and clearing steps
These strategies can significantly improve TMEM143 detection quality and reproducibility in tissue sections.
To address potential cross-reactivity concerns:
Identification methods:
Observe unexpected band patterns on Western blots
Note inconsistent staining patterns between different antibody clones
Compare results with antibodies targeting different epitopes of TMEM143
Validate using genetic knockdown/knockout approaches
Mitigation strategies:
Select antibodies with extensively validated specificity data
Use antibodies with more specific epitope targets (C-terminal specific antibodies may offer higher specificity)
Increase stringency of washing conditions
Perform pre-absorption with related proteins
Consider using monoclonal antibodies for highly specific applications
Validation approaches:
Peptide competition assays
Immunoprecipitation followed by mass spectrometry
Parallel testing with multiple TMEM143 antibodies targeting different epitopes
Implementing these approaches helps ensure experimental results accurately reflect TMEM143 biology rather than artifact signals.
Proximity Ligation Assay (PLA) is a powerful technique for studying TMEM143 interactions:
Experimental design considerations:
Combine TMEM143 antibody with antibodies against suspected interaction partners
Ensure antibodies are raised in different species for proper secondary antibody recognition
For mitochondrial interactions, include appropriate membrane permeabilization steps
Consider fixation methods that preserve membrane protein conformations
Protocol optimization:
Test multiple antibody dilutions to maximize signal-to-noise ratio
Optimize permeabilization to ensure access to mitochondrial membranes
Include appropriate controls (positive interaction controls and negative antibody controls)
Consider subcellular fractionation before PLA to enrich for mitochondrial proteins
Data interpretation:
Quantify PLA signals in relation to subcellular markers to confirm mitochondrial localization
Use Z-stack imaging to capture the full 3D distribution of interaction signals
Implement computational analysis to quantify interaction frequency and spatial distribution
This approach can reveal novel TMEM143 interaction networks and provide insights into its functional roles in mitochondria.
To investigate post-translational modifications (PTMs) of TMEM143:
Combined immunoprecipitation approach:
Modification-specific detection:
Treat samples with phosphatases, deubiquitinases, or other modification-removing enzymes
Observe mobility shifts in Western blots as indicators of modifications
Use Phos-tag gels for enhanced separation of phosphorylated species
Site-specific investigations:
Generate phospho-specific or other PTM-specific antibodies for key modification sites
Use site-directed mutagenesis of predicted modification sites to assess functional impact
Employ cell treatments that alter modification states (kinase inhibitors, proteasome inhibitors)
These approaches can reveal regulatory mechanisms controlling TMEM143 function, localization, or stability within mitochondrial membranes.
Integrating TMEM143 antibody detection with single-cell technologies:
Single-cell Western blotting:
Mass cytometry (CyTOF):
Develop metal-conjugated TMEM143 antibodies
Create panels combining TMEM143 with mitochondrial markers and cell state indicators
Implement permeabilization protocols optimized for mitochondrial proteins
Imaging mass cytometry/CODEX:
Apply TMEM143 antibodies in multiplexed tissue imaging platforms
Co-stain with spatial references to map expression to tissue microenvironments
Develop computational workflows to quantify cell-to-cell variation in expression
Single-cell RNA-protein correlation:
Combine TMEM143 protein detection with RNA sequencing in platforms like CITE-seq
Analyze correlation between transcript and protein levels to identify post-transcriptional regulation
These advanced techniques provide unprecedented insights into cellular heterogeneity of TMEM143 expression and its relationship to cell state, tissue context, and disease progression.