The Recombinant Mouse Uncharacterized protein C2orf47 homolog, mitochondrial, is a protein of interest in the field of mitochondrial biology. Mitochondria are crucial organelles involved in energy production and various cellular processes. Despite their importance, many mitochondrial proteins remain poorly understood, including those related to the C2orf47 homolog. This article aims to provide an overview of this protein, its potential functions, and relevant research findings.
Mitochondrial proteins are essential for maintaining mitochondrial function, including energy metabolism, signaling, and cellular homeostasis. The human genome encodes over 1,500 mitochondrial proteins, but many lack detailed functional annotations . The study of uncharacterized proteins like C2orf47 homologs is crucial for understanding mitochondrial biology and disease mechanisms.
Localization: The C2orf47 homolog is localized to the mitochondria, suggesting a role in mitochondrial processes .
Function: While specific functions are not well-documented, mitochondrial localization implies involvement in energy metabolism, protein synthesis, or other mitochondrial processes.
Expression: Expression data for this protein in various tissues or conditions is limited, necessitating further research to understand its role in different physiological states.
Research on uncharacterized mitochondrial proteins often involves identifying protein-protein interactions and studying their roles in mitochondrial processes. For example, studies have identified interactions between various mitochondrial proteins and their involvement in respiratory chain function, protein synthesis, and other critical processes .
| Protein | Function | Mitochondrial Process |
|---|---|---|
| C17orf89 | Complex I assembly factor | Respiratory chain function |
| LYRM5 | Electron-transferring flavoprotein interaction | Respiratory chain function |
| CoQ biosynthetic complex | Coenzyme Q biosynthesis | Energy metabolism |
While specific data on the C2orf47 homolog is limited, its mitochondrial localization suggests potential roles similar to those of other uncharacterized mitochondrial proteins.
Recombinant proteins are produced using genetic engineering techniques, where the gene encoding the protein of interest is inserted into a host organism (e.g., bacteria or mammalian cells) for expression. The Recombinant Mouse Uncharacterized protein C2orf47 homolog is likely produced for research purposes, such as studying its function, interactions, or potential roles in disease mechanisms.
Further research is needed to elucidate the specific functions and interactions of the C2orf47 homolog. Techniques such as affinity enrichment mass spectrometry can help identify protein-protein interactions, while functional assays can determine its role in mitochondrial processes . Understanding this protein could provide insights into mitochondrial diseases and potential therapeutic targets.
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This protein promotes the sorting of SMDT1/EMRE within mitochondria by ensuring its proper maturation. It interacts with the transit peptide region of the SMDT1/EMRE precursor protein in the mitochondrial matrix, protecting it from degradation by YME1L1. This interaction is crucial for ensuring SMDT1/EMRE maturation via the mitochondrial processing peptidase (PMPCA and PMPCB).
C2orf47 is classified as an uncharacterized protein originally mapped to chromosome 2 open reading frame 47 in humans, with homologs present in mice and other species. This protein is primarily localized to the mitochondria, suggesting critical involvement in mitochondrial processes. Mitochondrial localization has been confirmed through various experimental techniques including immunofluorescence microscopy and subcellular fractionation studies. The protein appears to be expressed in various tissues, though comprehensive expression data across different physiological states remains limited.
Current evidence indicates that the C2orf47 homolog promotes the sorting of SMDT1/EMRE (Essential MCU Regulator) within mitochondria by ensuring its proper maturation. SMDT1 is a critical component of the mitochondrial calcium uniporter complex, suggesting that C2orf47 may indirectly influence calcium homeostasis in mitochondria. The protein interacts specifically with the transit peptide region of SMDT1, potentially facilitating proper protein trafficking or processing within the mitochondrial compartment.
Research on mitochondrial proteins typically employs a multidisciplinary approach:
Localization studies using immunofluorescence microscopy with mitochondrial markers such as cyclophilin D (CypD)
Protein-protein interaction analyses through co-immunoprecipitation or proximity labeling
Functional assays measuring respiratory chain activities
Genetic manipulations using siRNA or shRNA for knockdown experiments
Advanced imaging techniques to visualize mitochondrial dynamics and morphology
Antibody accessibility assays to determine sub-mitochondrial localization and topology
These approaches help elucidate the role of previously uncharacterized proteins within mitochondrial complexes and networks.
When investigating C2orf47 function, distinguishing direct from indirect effects requires rigorous experimental design and appropriate controls. Researchers should implement:
Time-course experiments to establish sequential events following C2orf47 manipulation
Rescue experiments using wild-type protein to confirm specificity of observed phenotypes
Domain-specific mutations to identify functional regions
Proximity-based labeling approaches (BioID, APEX) to identify direct interaction partners
In vitro reconstitution assays with purified components
Statistical analysis should account for variability in mitochondrial experiments, as discussed in experimental design literature . When analyzing data, researchers should consider both measures of central tendency and variability to properly interpret experimental outcomes. The significance of observed differences should be evaluated using appropriate statistical tests, with attention to potential Type I and Type II errors .
To investigate C2orf47's role in mitochondrial protein sorting, researchers should consider:
Import assays using isolated mitochondria to track protein translocation
Pulse-chase experiments to monitor protein maturation kinetics
Submitochondrial fractionation to determine precise localization
Crosslinking studies to capture transient interactions during sorting
Electron microscopy to visualize structural impacts on mitochondrial membranes
Particular attention should be paid to experimental conditions that might affect mitochondrial membrane potential, as this could confound protein import results. Temperature, ionic conditions, and energy status of mitochondria should be carefully controlled .
The following table outlines key methodological approaches for studying protein sorting in mitochondria:
| Method | Application | Advantages | Limitations |
|---|---|---|---|
| In vitro import | Direct assessment of protein translocation | Controlled conditions | May not reflect in vivo complexity |
| Blue native PAGE | Analysis of native protein complexes | Preserves interactions | Limited resolution for large complexes |
| Protease protection | Determining membrane topology | Simple technique | Cannot distinguish adjacent compartments |
| Super-resolution microscopy | Visualization of submitochondrial localization | High spatial resolution | Requires specialized equipment |
| CRISPR/Cas9 editing | Generation of knockout or tagged variants | Physiological expression levels | Potential off-target effects |
Based on research on similar mitochondrial proteins, dysfunction of C2orf47 could potentially contribute to mitochondrial pathologies. Studies of proteins like C1QBP demonstrate that mutations in mitochondrial proteins can cause severe clinical phenotypes including cardiomyopathy, multisystemic involvement, and defects in the respiratory chain .
Research approaches should include:
Patient cohort studies looking for C2orf47 mutations in individuals with unexplained mitochondrial dysfunction
Animal models with C2orf47 knockout or mutations to characterize phenotypes
Assessment of respiratory chain complex activities in affected tissues
Metabolomic profiling to identify biomarkers of disrupted mitochondrial function
Rescue experiments to determine if wild-type C2orf47 can complement function in diseased cells
Analysis of patient data in C1QBP mutations showed various clinical presentations depending on the specific mutation and age of onset, suggesting a similar spectrum might exist for C2orf47 mutations .
To quantify C2orf47's impact on mitochondrial energy metabolism, researchers should implement:
Oxygen consumption rate (OCR) measurements using platforms such as Seahorse XF Analyzer
Blue Native PAGE analysis of respiratory chain complex assembly
Spectrophotometric assays for individual complex activities (I-V)
Mitochondrial membrane potential measurements using potentiometric dyes
ATP production assays under various substrate conditions
Measurement of reactive oxygen species production
Researchers should compare results from C2orf47-depleted or overexpressing systems with appropriate controls. When analyzing respiratory chain deficiencies, it's important to measure multiple complexes, as seen in studies of C1QBP mutations which demonstrated combined respiratory-chain enzyme deficiency of complexes I, III, and IV .
When designing experiments to investigate C2orf47 function, researchers should include multiple control conditions:
Wild-type controls expressing endogenous levels of C2orf47
Rescue controls with reintroduction of wild-type C2orf47 in knockout/knockdown models
Inactive mutant controls (e.g., mutations in predicted functional domains)
Positive controls using well-characterized mitochondrial proteins
Tissue-specific controls when examining expression patterns
Time-course controls when studying dynamic processes
Statistical design should consider power analysis to determine appropriate sample sizes, with attention to the inherent variability in mitochondrial parameters. As outlined in experimental design literature, control of variability is crucial for detecting treatment effects, analogous to distinguishing radio signals from static .
To comprehensively analyze C2orf47 interaction networks, researchers should:
Employ complementary interaction detection methods (co-IP, proximity labeling, Y2H)
Validate primary interactions with reciprocal pull-downs
Use quantitative proteomics to rank interaction strength
Compare interaction profiles under different cellular conditions
Apply network analysis algorithms to identify functional modules
Correlate interaction data with functional readouts
When interpreting interaction data, researchers should distinguish between stable complex components and transient interactions. Studies of mitochondrial proteins like C17orf80 demonstrate the importance of analyzing colocalization through methods like determining Manders' coefficients to quantify spatial relationships between proteins of interest.
When analyzing data from C2orf47 manipulation experiments, researchers should employ:
Appropriate measures of central tendency (mean, median) depending on data distribution
Measures of variability (standard deviation, interquartile range)
Statistical tests matched to experimental design:
Paired t-tests for before/after comparisons
ANOVA for multiple treatment comparisons
Non-parametric alternatives when normality assumptions are violated
Data visualization should include both measures of central tendency and variability, as discussed in statistical analysis literature . Effect size calculations should complement significance testing to quantify the magnitude of observed differences. Meta-analysis approaches may be valuable when combining data across multiple experimental systems or studies .
Purification of recombinant C2orf47 presents several technical challenges:
Expression systems must accommodate mitochondrial protein folding requirements
Transmembrane regions may reduce solubility and complicate purification
Post-translational modifications present in native protein may be absent
Potential for aggregation during concentration steps
Need for detergents that maintain structure while allowing solubility
Researchers should consider:
Testing multiple expression systems (bacterial, insect, mammalian)
Using solubility tags (MBP, SUMO) that can be later removed
Implementing gentle purification conditions to maintain structure
Validating protein folding through circular dichroism or limited proteolysis
Confirming functionality through in vitro assays before complex experiments
Based on advances in mitochondrial imaging techniques , researchers studying C2orf47 should:
Select appropriate fluorescent protein tags that minimize functional interference
Employ super-resolution microscopy to resolve submitochondrial localization
Use live-cell imaging to capture dynamic processes
Implement FRAP (Fluorescence Recovery After Photobleaching) to measure mobility
Consider CRISPR-based endogenous tagging to maintain physiological expression levels
These approaches would build upon techniques described for studying mitochondrial morphology in organisms like C. elegans , adapting them for mammalian systems and specifically for C2orf47 research. Validation steps should include confirming that tagged proteins maintain their expected localization and function.
When faced with contradictory findings regarding C2orf47 function, researchers should systematically:
Analyze experimental differences that might explain discrepancies:
Cell types or tissue sources
Expression levels of recombinant proteins
Environmental conditions (oxygen levels, media composition)
Timing of measurements
Specific assays and reagents used
Design reconciliation experiments that:
Directly compare conditions side-by-side
Systematically vary parameters to identify critical factors
Use multiple complementary methodologies
Quantitatively measure effect sizes under varied conditions
Collaborate across laboratories for independent validation
Consider biological explanations for apparent contradictions:
Cell-type specific cofactors
Compensatory mechanisms activating in certain conditions
Varying ratios of interaction partners
Post-translational modifications
This approach acknowledges that apparent contradictions often reflect biological complexity rather than experimental error.
Systems biology approaches can provide comprehensive insights into C2orf47 function through:
Multi-omics integration combining:
Proteomics to map interaction networks
Transcriptomics to identify regulatory relationships
Metabolomics to detect functional consequences
Genomics to identify genetic modifiers
Computational modeling of:
Protein sorting pathways incorporating C2orf47
Mitochondrial energy metabolism networks
Evolutionary relationships across species
High-content screening to identify:
Conditions altering C2orf47 expression or localization
Genetic interactions through CRISPR screens
Chemical modifiers of C2orf47-dependent processes
The evolutionary conservation of C2orf47 provides important insights for researchers:
Comparative analysis of C2orf47 homologs could reveal:
Functionally essential domains maintained across species
Species-specific adaptations in sequence and function
Co-evolution with interaction partners
Methodological approaches should include:
Phylogenetic analysis of sequence conservation
Functional complementation studies across species
Structure prediction based on conserved domains
Analysis of selection pressure on different protein regions
Similar evolutionary analyses have been valuable for other mitochondrial proteins such as C17orf80, where conservation of specific residues like cysteine and histidine has provided clues to functional importance .