TMEM14C antibodies detect a 12 kDa protein encoded by the TMEM14C gene (human locus: 6p24.2) . The canonical protein spans 112 amino acids and localizes to the mitochondrial inner membrane, where it facilitates protoporphyrinogen IX transport for heme synthesis . Key applications include:
Western blotting (1:50–1:500 dilution)
Immunoprecipitation (1–2 µg per 100–500 µg lysate)
TMEM14C antibodies exhibit specificity across species (human, mouse, rat) and do not cross-react with other TMEM14 family members . Validation data from Santa Cruz Biotechnology (sc-139565) include:
| Cell Line | Application | Result |
|---|---|---|
| HEK293T (human) | Western blot | Detects endogenous TMEM14C at 12 kDa |
| ES-D3 (mouse) | Immunofluorescence | Mitochondrial localization confirmed |
| SK-MEL-28 (human) | ELISA | Linear detection range: 1:30–1:3000 |
Source: Santa Cruz Biotechnology datasheet
TMEM14C deficiency in mice causes porphyrin accumulation, erythroid maturation arrest, and embryonic lethality due to anemia .
In SF3B1-mutant myelodysplastic syndromes, TMEM14C missplicing contributes to mitochondrial iron sequestration and ring sideroblast formation .
TMEM14C knockdown in MEL cells reduces heme synthesis by 60% (P < 0.01), confirmed via 55Fe labeling .
Autofluorescence in Tmem14c −/− fetal livers indicates porphyrin precursor accumulation, mimicking Fech mutants .
Congenital anemias: TMEM14C antibodies identify heme synthesis defects in erythroblasts .
Myelodysplastic syndromes: Used to validate reduced TMEM14C protein levels (40% decrease in SF3B1 mutants) .
Cross-reactivity: None reported with non-erythroid mitochondrial proteins (e.g., ATP synthase, HSP60) .
TMEM14C antibodies are pivotal for exploring:
TMEM14C (Transmembrane Protein 14C) is a mitochondrial inner membrane protein with 112 amino acid residues and a molecular weight of approximately 11.6 kDa in humans. It belongs to the TMEM14 protein family and plays a critical role in normal heme biosynthesis . Research has demonstrated that TMEM14C is essential for erythroid mitochondrial heme metabolism and terminal erythropoiesis . The protein is particularly significant because it appears to function as a genetic modifier for the severity of anemia and porphyria, making it a valuable target for hematological research .
TMEM14C is predominantly expressed in hematopoietic organs and erythropoietic tissues. High expression levels have been observed in fetal liver, yolk sac during embryonic development, and in murine erythroleukemia (MEL) cell lines . Expression analysis through techniques like β-galactosidase staining of Tmem14c LacZ reporter and in situ hybridization confirms its presence in erythropoietic tissues . At the subcellular level, TMEM14C localizes specifically to the inner mitochondrial membrane, as demonstrated through submitochondrial fractionation studies and confocal immunofluorescence microscopy .
TMEM14C is also known by several synonyms including HSPC194, MSTP073, NET26, bA421M1.6, and C6orf53 . Orthologs have been identified in multiple species including mouse, rat, and chimpanzee, as well as zebrafish . This conservation across species suggests an evolutionarily preserved function and makes TMEM14C suitable for comparative studies across different model organisms.
When selecting a TMEM14C antibody, researchers should consider:
Proper validation of TMEM14C antibodies should include:
Positive tissue controls: Erythropoietic tissues known to express TMEM14C (fetal liver, bone marrow)
Positive cell controls: MEL cell lines or other erythroid lineage cells with confirmed TMEM14C expression
Negative controls: Samples from Tmem14c knockout models (e.g., Tmem14cgt/gt cells) or cells where expression has been silenced through CRISPR or shRNA approaches
Molecular weight verification: Confirm detection at the expected molecular weight (approximately 11.6 kDa for human TMEM14C)
Subcellular localization verification: Co-staining with established mitochondrial markers like HSP60 should show colocalization
To ensure antibody specificity:
Compare staining patterns between wild-type samples and Tmem14c-deficient samples (gene trap, CRISPR knockout, or shRNA silenced models)
Perform Western blot analysis with positive controls (TER119+ fetal liver erythroid cells) and negative controls
Verify that antibody detects a single band of appropriate molecular weight (11.6 kDa)
Confirm subcellular localization matches known TMEM14C distribution (inner mitochondrial membrane)
Validate that protein expression correlates with mRNA expression patterns across tissues
For optimal detection of TMEM14C by Western blot:
Mitochondrial enrichment: Since TMEM14C is a mitochondrial protein, enrichment of mitochondrial fractions may enhance detection sensitivity
Membrane protein extraction: Use detergent-based buffers (containing Triton X-100 or similar) that effectively solubilize membrane proteins
Sample handling: Process samples quickly and maintain cold temperatures to prevent protein degradation
Gel percentage: Use higher percentage gels (15-20%) for better resolution of small proteins like TMEM14C (11.6 kDa)
Transfer conditions: Optimize transfer of small proteins using PVDF membranes and appropriate transfer conditions
Antibody dilution: Based on available products, a dilution range of 1:500-1:2000 is typically recommended for Western blot applications
For immunohistochemical detection of TMEM14C:
Tissue fixation: Use appropriate fixation methods (4% paraformaldehyde is common) that preserve antigen integrity
Antigen retrieval: Apply heat-induced or enzymatic antigen retrieval methods to unmask epitopes potentially obscured during fixation
Blocking conditions: Thoroughly block with appropriate serum (5% normal goat or donkey serum) to reduce background
Antibody concentration: For IHC applications, a dilution range of 1:40-1:200 has been recommended
Incubation conditions: Consider overnight incubation at 4°C for primary antibody
Detection system: Use sensitive detection systems (ABC, polymer-based) appropriate for the expected expression level
Counterstaining: Consider mitochondrial counterstaining to verify subcellular localization
For studying TMEM14C during erythroid differentiation:
Time-course analysis: Collect samples at defined stages of erythroid differentiation
Cell purification: Isolate erythroid cells at different maturation stages (e.g., using TER119/CD71 sorting)
Paired protein and mRNA analysis: Quantify both TMEM14C protein (by Western blot) and mRNA (by qRT-PCR)
Functional assays: Incorporate heme synthesis measurements in parallel (e.g., o-dianisidine staining)
Knockdown/knockout models: Include TMEM14C-deficient cells as comparative controls
Morphological assessment: Correlate TMEM14C expression with changes in erythroid morphology during differentiation
Rescue experiments: Confirm specificity by rescuing phenotypes through reintroduction of TMEM14C
TMEM14C antibodies can be applied to heme biosynthesis research through:
Metabolic labeling experiments: Use 55Fe-transferrin labeling combined with TMEM14C detection to correlate protein levels with heme synthesis rates
Porphyrin intermediate analysis: Combine HPLC analysis of porphyrin intermediates (uroporphyrin III, coproporphyrin III, protoporphyrin IX) with TMEM14C expression studies
Co-immunoprecipitation: Identify potential interaction partners in the heme biosynthesis pathway
Subcellular fractionation: Examine TMEM14C distribution within mitochondrial subcompartments during active heme synthesis
Genetic perturbation studies: Compare heme synthesis metrics between wild-type and TMEM14C-deficient models while monitoring protein levels
To investigate TMEM14C protein interactions:
Co-immunoprecipitation: Use TMEM14C antibodies to pull down protein complexes and identify binding partners
Proximity labeling: Apply BioID or APEX2-based approaches to identify proteins in spatial proximity to TMEM14C within mitochondria
Co-localization studies: Perform dual immunofluorescence with antibodies against other heme synthesis enzymes
FRET/BRET analysis: For studying direct protein-protein interactions in live cells
Cross-linking studies: Apply membrane-permeable cross-linking agents before immunoprecipitation to stabilize transient interactions
Genetic interaction studies: Combine knockdown/overexpression of TMEM14C with manipulation of other pathway components
For correlating TMEM14C expression with functional outcomes:
Patient sample analysis: Compare TMEM14C expression in samples from patients with various anemias or porphyrias versus healthy controls
Genotype-phenotype correlation: Relate TMEM14C expression levels to specific genetic variants in patient populations
Functional readouts: Correlate TMEM14C levels with:
Heme content measurements
Porphyrin intermediate profiles
Erythroid differentiation markers
Hemoglobinization assessments
Rescue experiments: Test whether restoring TMEM14C expression reverses metabolic phenotypes in patient-derived cells
Animal models: Generate and characterize knockin models of patient-specific TMEM14C variants
Common challenges and solutions include:
| Challenge | Troubleshooting Approach |
|---|---|
| Low signal intensity | Increase protein loading; concentrate mitochondrial fractions; use more sensitive detection systems; optimize antibody concentration |
| Multiple bands | Verify specificity with knockout controls; optimize blocking conditions; consider cross-reactivity with other TMEM family members |
| Inconsistent results | Standardize sample preparation; include positive controls in each experiment; maintain consistent transfer conditions |
| High background | Increase blocking time/concentration; optimize antibody dilution; increase washing steps; consider alternative blocking agents |
| Incorrect molecular weight | Ensure appropriate gel percentage for small proteins; use appropriate molecular weight markers; verify with positive controls |
When interpreting TMEM14C expression changes:
Normalization: Always normalize to appropriate loading controls (HSP60 for mitochondrial fractions)
Developmental context: Interpret expression changes in relation to erythroid differentiation markers (TER119, CD71)
Functional correlation: Relate expression changes to heme synthesis metrics and erythroid maturation
Multiple detection methods: Confirm protein expression changes with orthogonal techniques (e.g., immunofluorescence, qRT-PCR)
Statistical analysis: Apply appropriate statistical tests based on experimental design and data distribution
Biological replicates: Ensure sufficient biological replicates to account for natural variation
Researchers should consider these potential artifacts:
Cross-reactivity with other TMEM family members, particularly in tissues expressing multiple TMEM proteins
Changes in mitochondrial abundance that could be misinterpreted as changes in TMEM14C expression
Fixation or processing artifacts that may affect epitope accessibility, particularly for inner mitochondrial membrane proteins
Post-translational modifications that may affect antibody recognition
Splice variants or protein degradation products that may appear as multiple bands
Differences in antibody performance across species, particularly when comparing model organisms
Artifacts from sample preparation that may affect membrane protein integrity
Beyond hematological disorders, TMEM14C antibodies may be valuable for:
Mitochondrial disease research: Investigating potential roles in broader mitochondrial dysfunction syndromes
Cancer metabolism studies: Examining altered heme metabolism in cancer cells, particularly those dependent on mitochondrial function
Neurodegenerative disease research: Exploring potential connections between heme metabolism and neurodegeneration
Developmental biology: Studying the role of TMEM14C in embryonic development beyond hematopoiesis
Aging research: Investigating changes in TMEM14C expression and function during aging
Metabolic disorders: Exploring connections between heme biosynthesis and broader metabolic functions
Emerging technologies with potential applications include:
Super-resolution microscopy: Techniques like STORM, STED, or PALM for precise localization within mitochondrial subcompartments
Single-cell proteomics: Analyzing TMEM14C at the single-cell level during differentiation or disease progression
CRISPR screens: Identifying genetic interactions with TMEM14C using pooled CRISPR screening approaches
Spatial transcriptomics: Correlating TMEM14C protein localization with local transcriptional profiles
Proteomics approaches: Mass spectrometry-based identification of post-translational modifications and protein interactions
Cryo-electron microscopy: Structural studies of TMEM14C within its native membrane environment
Organoid models: Studying TMEM14C in more physiologically relevant three-dimensional tissue models
Computational approaches can enhance TMEM14C research through:
Protein structure prediction: Using AlphaFold or similar tools to predict TMEM14C structure and functional domains
Systems biology modeling: Integrating TMEM14C into broader pathway models of heme biosynthesis
Network analysis: Identifying potential regulators and interaction partners through protein-protein interaction networks
Machine learning: Developing algorithms to quantify subtle changes in TMEM14C localization or expression patterns
Image analysis automation: Creating specialized tools for quantifying TMEM14C immunostaining across large sample sets
Multi-omics data integration: Correlating TMEM14C protein levels with transcriptomic, metabolomic, and proteomic datasets
Variant effect prediction: Computational assessment of how genetic variants might impact TMEM14C function
When comparing species-specific TMEM14C antibodies:
Sequence conservation: Human TMEM14C shares significant homology with mouse, rat, chimpanzee, and zebrafish orthologs, but antibodies may still show species specificity
Cross-reactivity: Some antibodies may recognize conserved epitopes across species, while others are strictly species-specific
Application differences:
Validation requirements: Species-specific positive controls should be used to validate antibody performance
For developmental studies:
Temporal expression patterns: TMEM14C expression changes throughout development, particularly in hematopoietic tissues
Tissue specificity: Expression is highest in erythropoietic tissues like fetal liver and embryonic yolk sac
Species differences: Consider developmental timing differences between model organisms
Background issues: Embryonic tissues may exhibit higher background staining requiring optimization
Sample preparation: Embryonic tissues may require specialized fixation and permeabilization protocols
Quantification challenges: Developing tissues show natural variation requiring larger sample sizes for reliable quantification
Co-staining strategies: Combine with developmental stage markers for accurate interpretation
| Detection Method | Strengths | Limitations | Best Applications |
|---|---|---|---|
| Western blot | Quantifiable; size verification; good for expression studies | Limited spatial information; requires tissue disruption | Expression level studies; protein size verification |
| Immunohistochemistry | Preserves tissue architecture; allows visualization of distribution | Lower sensitivity; qualitative rather than quantitative | Tissue distribution studies; pathological analysis |
| Immunofluorescence | High sensitivity; allows co-localization studies; subcellular resolution | Photobleaching; autofluorescence issues | Subcellular localization; co-localization with mitochondrial markers |
| Flow cytometry | Quantitative; single-cell analysis; high throughput | Limited to cell suspensions; less spatial information | Population analysis; sorting TMEM14C-expressing cells |
| ELISA | Highly quantitative; good for large sample numbers | No size or location information; requires specific antibody pairs | Screening studies; analysis of solubilized samples |