C19orf12 antibodies are immunological tools designed to detect the C19orf12 protein, a mitochondrial membrane-associated protein encoded by the C19orf12 gene (HGNC:25443). This protein is implicated in neurodegenerative disorders such as Neurodegeneration with Brain Iron Accumulation 4 (NBIA4) and Spastic Paraplegia 43 (SPG43) . Mutations in C19orf12 disrupt mitochondrial function, autophagy, and calcium homeostasis, leading to iron accumulation in basal ganglia .
Size: 17 kDa mitochondrial membrane protein with glycine zipper motifs (GxxxGxxxG) critical for transmembrane helix dimerization .
Isoforms: Predominantly expressed as a 141-amino-acid isoform, with minor 152-amino-acid and unconfirmed 77-amino-acid variants .
Domains: Contains a soluble N-terminal regulatory domain homologous to bacterial MgtE magnesium transporters .
Localizes to mitochondria, endoplasmic reticulum (ER), and mitochondria-associated membranes (MAM) .
Mutant variants (e.g., G58S, Q96P) exhibit aberrant cytosolic or mitochondrial matrix localization .
C19orf12 antibodies are utilized in diverse experimental workflows:
Western Blot: Detects a ~20 kDa band in human fibroblasts, HeLa, and SH-SY5Y cells .
Immunohistochemistry: Strong staining in human stomach cancer tissues .
KO Validation: Non-detectable signal in CRISPR-Cas9-generated C19orf12 KO cells .
Autophagy Dysregulation: Mutant C19orf12 fails to induce LC3 conversion and increases p62 levels .
Calcium Homeostasis: Fibroblasts with C19orf12 mutations exhibit 2.5-fold higher mitochondrial Ca²⁺ .
Therapeutic Targets: High-throughput screens identified autophagy-modulating compounds (e.g., Torin-1) that rescue LC3 puncta in mutant cells .
Mechanistic Studies: Elucidate C19orf12’s role in MAM-mediated lipid transfer and its interaction with MgtE transporters .
Therapeutic Strategies: Test autophagy-enhancing compounds in preclinical NBIA models .
Isoform Characterization: Clarify functional differences between 141 aa and 152 aa isoforms .
Note: The provided PMIDs link to relevant publications in PubMed.
C19orf12 is a transmembrane protein associated with Neurodegeneration with Brain Iron Accumulation (NBIA), a clinical entity characterized by iron accumulation in the basal ganglia. The protein contains glycine zipper motifs forming helical regions that span the membrane. Understanding C19orf12 is critical for research into NBIA pathogenesis, particularly the variant known as MPAN (Mitochondrial membrane Protein-Associated Neurodegeneration) . The protein's importance lies in its dual localization in mitochondria and endoplasmic reticulum, suggesting multiple roles in cellular homeostasis.
Wild-type C19orf12 protein demonstrates multiple subcellular localizations. Western-blot analysis has confirmed that the protein is present in mitochondrial membranes, but also in the cellular lysate and cytosol. Further fractionation studies have revealed its presence in pure mitochondria, membrane-associated mitochondria (MAM), and endoplasmic reticulum (ER) . This diverse localization pattern suggests the protein may function at the interface between these organelles, particularly at the ER-mitochondria contact sites that are crucial for phospholipid transport and calcium signaling.
C19orf12 antibodies are predominantly used for:
Western blot analysis to detect the protein in various subcellular fractions
Immunodetection at 1:1000 dilution for specific C19orf12 protein visualization
Subcellular localization studies to determine compartmentalization of wild-type and mutant proteins
Comparative studies between patient-derived and control samples
The antibody has proven effective in distinguishing between normal localization patterns and aberrant ones caused by mutations, making it valuable for studying disease mechanisms.
For optimal Western blot analysis with C19orf12 antibody:
Lyse cells using NP-40 cell lysis buffer (50 mM Tris, pH 7.4, 250 mM NaCl, 5 mM EDTA, 50 mM NaF, 1 mM Na₃CO₄, and 1% NP40) supplemented with 1X protease inhibitor cocktail
Centrifuge lysates at 18,000 g at 4°C for 30 minutes
Separate proteins using 4-12% Bis-Tris Protein Gel
Transfer to PVDF membrane
Block membrane with appropriate blocking solution
Incubate with C19orf12 primary antibody at 1:1000 dilution for 1-2 hours at room temperature
Wash and apply appropriate secondary antibody
This protocol has been validated for detecting both wild-type and mutant forms of C19orf12 protein in various cellular compartments.
To effectively isolate subcellular fractions for C19orf12 localization studies:
Begin with HEK293 or similar cells expressing C19orf12 (endogenous or tagged)
Prepare separate fractions containing:
Crude mitochondria
Pure mitochondria (through gradient purification)
Membrane-associated mitochondria (MAM)
Endoplasmic reticulum
Validate fraction purity using established markers:
Inositol 3 Phosphate receptor 3 (IP3R3) for ER
Tubulin for cytoplasm
VDAC for mitochondria
Perform Western blot with C19orf12 antibody (1:1000 dilution)
This fractionation approach revealed the novel finding that C19orf12 localizes to multiple cellular compartments, which was previously unknown.
When using C19orf12 antibody for immunodetection, the following controls are essential:
Positive controls:
Overexpressed wild-type C19orf12 (tagged or untagged)
Known positive cell lines (such as HeLa or HEK293 with confirmed expression)
Negative controls:
C19orf12 knockdown or knockout samples
Secondary antibody-only controls
Loading and fractionation controls:
Expression level controls:
Real-time PCR to quantify overexpression levels relative to endogenous C19orf12
Mutations in C19orf12 significantly alter protein localization, which affects antibody detection patterns in different subcellular fractions:
Wild-type C19orf12: Primarily detected in mitochondrial membranes, ER, and MAM fractions with distinctive network-like intracellular staining pattern
G58S mutation: This mutation affects the glycine zipper transmembrane domain, causing the protein to mislocalize partially to the mitochondrial matrix and cytosol. Western blot analysis shows diffuse cytosolic distribution rather than membrane association. Confocal microscopy reveals asymmetric colocalization patterns with organelle markers.
Q96P mutation: While this mutation preserves mitochondrial membrane localization similar to wild-type, it creates an abnormal vesicular pattern rather than the normal network distribution. Colocalization analysis shows reduced Pearson's coefficients with both mitochondrial and ER markers .
These altered localization patterns provide insights into structure-function relationships of C19orf12 and can be leveraged for studying pathogenic mechanisms.
To study C19orf12 dynamic relocalization under oxidative stress:
Live cell imaging approach:
Transfect cells with fluorescently tagged C19orf12 constructs (GFP or mKate2)
Establish baseline localization with organelle markers (mitotracker, ER markers)
Apply oxidative stress (e.g., H₂O₂ treatment)
Perform time-lapse imaging to capture protein movement
Quantify redistribution using colocalization statistics (Pearson's and Mander's coefficients)
Biochemical fractionation approach:
Treat cells with oxidative stressors at varying timepoints
Perform subcellular fractionation
Quantify C19orf12 levels in each fraction by Western blot
Compare wild-type versus mutant behavior
Functional correlation:
Research has shown that wild-type C19orf12 responds to oxidative stress by relocating to the cytosol and forming aggregates, while mutant proteins fail to respond, suggesting impaired stress response mechanisms in disease states.
C19orf12 antibodies can be strategically employed to investigate the protein's role in autophagy regulation through several approaches:
Colocalization studies:
Perform double immunostaining with C19orf12 antibody and autophagy markers (LC3, p62)
Analyze spatial relationships during basal conditions and after autophagy induction
Quantify changes in colocalization patterns
Autophagy flux analysis:
Compare LC3-I to LC3-II conversion in cells with different C19orf12 status (wild-type, overexpressed, mutant)
Monitor p62 degradation rates in correlation with C19orf12 levels
Use C19orf12 antibody to confirm expression levels in parallel
Structure-function relationships:
Generate domain-specific C19orf12 constructs
Use antibodies to verify expression and localization of truncated proteins
Correlate structural features with autophagy modulation capacity
Temporal dynamics:
Research has shown that wild-type C19orf12 overexpression promotes LC3 conversion and reduces p62 levels, suggesting autophagy activation, while mutant proteins fail to induce these changes.
Distinguishing between wild-type and mutant C19orf12 proteins requires careful experimental design:
Antibody selection:
Standard C19orf12 antibodies typically recognize both wild-type and mutant forms
When possible, use mutation-specific antibodies for direct detection of variants
Fractionation approach:
G58S mutation causes redistribution to mitochondrial matrix and cytosol
Q96P mutation maintains membrane localization but with abnormal vesicular patterns
Careful subcellular fractionation can help distinguish localization differences
Molecular weight considerations:
Wild-type C19orf12 is a 17 kDa protein
Some mutations may cause subtle mobility shifts
Use high-resolution gels (15-20%) for optimal separation
Live imaging complementation:
Combining biochemical fractionation with imaging approaches provides the most comprehensive discrimination between wild-type and mutant forms.
For optimizing detection of low-abundance C19orf12 in patient samples:
Sample preparation optimization:
Use specialized lysis buffers with multiple protease inhibitors
Perform protein concentration step if necessary
Consider subcellular fractionation to enrich for C19orf12-containing compartments
Signal amplification strategies:
Employ high-sensitivity chemiluminescent substrates
Consider using HRP-conjugated polymers instead of standard secondary antibodies
Optimize antibody concentration through titration experiments
Loading considerations:
Maximize protein loading (50-100 μg per lane)
Use larger wells for better resolution
Consider concentration of samples through immunoprecipitation prior to Western blot
Extended exposure optimization:
Use incremental exposure times
Employ cooled CCD camera systems for better signal-to-noise ratio
Consider computational enhancement of weak signals
Technical alternatives:
These approaches can help detect physiological levels of C19orf12 in patient fibroblasts or other clinical samples where expression may be limited.
To validate C19orf12 antibody specificity across applications:
Genetic validation:
Compare detection in wild-type versus C19orf12 knockout/knockdown models
Overexpression systems with tagged variants for antibody validation
Real-time PCR correlation with protein levels detected by antibody
Peptide competition assays:
Pre-incubate antibody with immunizing peptide
Compare signal between blocked and unblocked antibody
Gradual reduction in signal with increasing peptide concentration confirms specificity
Multiple antibody concordance:
Compare detection patterns using antibodies raised against different epitopes
Consistent patterns across antibodies support specificity
Discordant results warrant further investigation
Cross-species reactivity assessment:
Test antibody against C19orf12 from different species
Expected conservation patterns should match detection patterns
Helps establish evolutionary conservation of epitopes
Signal validation in diverse applications:
Thorough validation is essential when studying proteins like C19orf12 where disease-causing mutations may affect antibody binding properties.
Given the structural homology between C19orf12 and bacterial MgtE transporters, researchers can use C19orf12 antibodies to investigate magnesium transport regulation:
Co-immunoprecipitation studies:
Use C19orf12 antibodies to pull down protein complexes
Analyze for presence of human MgtE-like transporters
Identify interaction partners involved in magnesium homeostasis
Functional assays:
Measure intracellular magnesium levels in cells with varying C19orf12 status
Correlate C19orf12 expression (verified by antibody) with magnesium transport capacity
Assess impact of C19orf12 mutations on magnesium handling
Structure-function correlation:
Generate domain-specific deletions in the regulatory domain of C19orf12
Use antibodies to confirm expression levels
Correlate structural integrity with magnesium transport regulation
Disease-relevant models:
This research direction is particularly relevant since magnesium deficiency has been implicated in Parkinson's and other neurodegenerative diseases, potentially connecting C19orf12 dysfunction to broader neurodegeneration mechanisms.
To investigate C19orf12's role in ferroptosis using antibodies:
Expression correlation studies:
Use C19orf12 antibodies to quantify protein levels during ferroptosis induction
Compare wild-type versus C19orf12-deficient cells for ferroptosis markers
Monitor temporal dynamics of expression changes
Oxidative stress markers co-detection:
Perform dual immunodetection of C19orf12 and oxidative stress markers (8OHG, HNE)
Compare wild-type and mutant C19orf12 effects on oxidative stress marker levels
Correlate with ferroptosis progression
Pathway component analysis:
Monitor key ferroptosis proteins (HMOX1, GPX4) in relation to C19orf12 status
Use C19orf12 antibodies to confirm knockdown/overexpression efficiency
Assess whether C19orf12 acts upstream or downstream of established ferroptosis regulators
Lipidomic correlation:
These approaches leverage C19orf12 antibodies to establish the mechanistic connection between this protein and iron-dependent regulated cell death, which appears particularly relevant to its role in neurodegeneration with brain iron accumulation.
To effectively combine C19orf12 antibody studies with calcium imaging for investigating mitochondrial calcium dynamics:
Sequential experimental design:
Perform live calcium imaging using fluorescent indicators (Rhod-2, Fluo-4)
Fix the same cells and immunostain for C19orf12
Correlate calcium handling with C19orf12 distribution patterns
Genetic modification approach:
Create stable cell lines with varying C19orf12 status (overexpression, knockdown, mutations)
Confirm protein levels/localization using antibodies
Perform calcium imaging experiments under various conditions
Compare responses between genetically defined populations
Combined microscopy techniques:
Use split-channel imaging to simultaneously monitor calcium indicators and fluorescently tagged C19orf12
Validate findings with fixed-cell immunocytochemistry using C19orf12 antibodies
Analyze correlation between C19orf12 localization and calcium microdomains
ER-mitochondria contact site focus:
This combined approach is particularly valuable since patient fibroblasts with C19orf12 mutations show elevated mitochondrial calcium levels and increased sensitivity to calcium-dependent apoptotic stimuli like H₂O₂.
C19orf12 antibody detection patterns show distinctive characteristics across neurodegeneration models:
Model Type | Localization Pattern | Protein Level Changes | Response to Stress | Key Considerations for Antibody Use |
---|---|---|---|---|
MPAN Patient Fibroblasts | Altered distribution based on specific mutation | Generally normal expression levels | Impaired stress response | May require subcellular fractionation for accurate assessment |
C19orf12 Knockout Models | Absence of specific signal (validation control) | Complete absence | N/A | Essential for antibody validation |
Oxidative Stress Models | Dynamic redistribution in wild-type; static in mutants | No significant changes in total levels | Formation of cytoplasmic aggregates in wild-type only | Requires time-course analysis |
Autophagy Induction Models | Changes correlate with autophagosome formation | Potential degradation during prolonged autophagy | Reduced nuclear distribution | Combine with autophagy markers for comprehensive analysis |
Calcium Homeostasis Disruption | Enhanced detection at ER-mitochondria contact sites | No significant changes | Altered distribution pattern | Requires careful colocalization analysis |
Understanding these differential patterns helps researchers select appropriate detection methods and experimental designs when using C19orf12 antibodies in disease models .
The relationship between C19orf12 mutations, protein mislocalization, and mitochondrial dysfunction follows a complex pattern:
Structure-localization correlation:
G58S mutation in the glycine zipper transmembrane domain causes mislocalization to the mitochondrial matrix and cytosol
Q96P mutation in the regulatory domain creates abnormal vesicular patterns
Both mutations impair the protein's normal distribution at ER-mitochondria contact sites
Functional consequences:
Patient fibroblasts with C19orf12 mutations show:
Elevated mitochondrial calcium levels
Increased sensitivity to H₂O₂-induced apoptosis
Impaired autophagy induction
Potential accumulation of dysfunctional mitochondria
Stress response defects:
Wild-type C19orf12 relocates to cytosol under oxidative stress
Mutant proteins fail to respond to stress conditions
This suggests an impaired mitochondrial quality control mechanism
Potential mechanisms:
These relationships can be detected and characterized using C19orf12 antibodies in fractionation studies, providing insight into disease pathogenesis.
To reconcile conflicting data about C19orf12 function and localization:
Methodological differences assessment:
Compare antibody sources, clones, and epitopes across studies
Evaluate cell types used (patient-derived vs. models)
Assess fractionation protocols (crude vs. pure preparations)
Consider detection methods (Western blot vs. microscopy)
Experimental condition reconciliation:
Analyze baseline vs. stress conditions
Consider timing of observations (acute vs. chronic)
Evaluate expression level differences (endogenous vs. overexpressed)
Assess the impact of tags (size, position) on protein behavior
Unified model development:
C19orf12 shows dual localization (mitochondria and ER)
Dynamic redistribution occurs under stress
Different mutations affect distinct protein domains and functions
Protein likely has multiple roles depending on cellular context
Technical validation approaches:
The apparent contradictions may reflect the dynamic nature of C19orf12 biology, with different studies capturing distinct states of this multifunctional protein.