The recombinant form (Product Code: CSB-EP004029HU1) is produced in E. coli and available commercially for research purposes :
Facial Morphogenesis: Genome-wide association studies (GWAS) identified C5orf50 as influencing zygomatic (cheekbone) and nasion (nose bridge) distances in Europeans .
Developmental Pathways: Located near FBXW11 (a Sonic Hedgehog signaling gene), suggesting potential regulatory crosstalk .
GWAS Associations:
Structural Ambiguities: Conflicting subcellular localization predictions (endoplasmic reticulum vs. cytosol) suggest possible misannotation or isoform-specific trafficking .
Functional Characterization: No direct mechanistic studies exist; current insights derive from GWAS and in silico analyses .
Isoform Discrepancies: The 172-aa and 371-aa isoforms require biochemical validation to resolve conflicting molecular weight observations (predicted 20 kDa vs. observed 40 kDa in Western blots) .
C5orf50 (Chromosome 5 Open Reading Frame 50) is an uncharacterized protein encoded by a gene located on chromosome 5 in humans. The protein has gained interest in the research community primarily due to its genetic associations with certain phenotypic traits. Notably, genome-wide association studies have revealed that a single nucleotide polymorphism (SNP) near C5orf50, specifically rs6555969, is associated with upper facial depth, which approximates the zygion-nasion distance . The protein's function remains largely uncharacterized, making it an intriguing target for fundamental research in human genetics and potential phenotypic associations.
Current research has established associations between C5orf50 and craniofacial measurements. Specifically, the SNP rs6555969 near C5orf50 has been linked to upper facial depth (p = 0.005) . Additionally, this same SNP (rs6555969) has shown association with intercanthal width (p = 0.049), suggesting C5orf50's potential role in multiple aspects of facial development . These associations were identified through genome-wide association studies and have been replicated across different populations, indicating their robustness. Researchers investigating facial morphology should consider these genetic markers when designing studies examining the genetic architecture of human facial traits.
When prioritizing uncharacterized proteins for research, C5orf50 presents several compelling advantages. Its documented genetic associations with measurable phenotypic traits (facial morphology) provide concrete endpoints for functional studies . Unlike many uncharacterized proteins with no known associations, C5orf50's connection to facial development offers a starting point for hypothesis generation. Additionally, the availability of specific research tools such as CRISPR/Cas9 vectors targeting C5orf50 facilitates experimental manipulation . When designing a research program, consider these factors alongside conservation analysis, protein domain predictions, and expression patterns to determine if C5orf50 merits priority over other uncharacterized proteins in your specific research context.
For CRISPR/Cas9-mediated functional studies of C5orf50, researchers can utilize commercially available C5orf50 sgRNA CRISPR/Cas9 All-in-One Non-viral Vector sets. These typically include three sgRNA targets designed to guide Cas9 to cleave exonic gDNA, resulting in frameshift mutations that effectively knock out the gene . The experimental approach should follow these methodological steps:
Select an appropriate vector system (All-in-One vectors containing both Cas9 and sgRNA expression elements are available)
Transfect target cells using optimized protocols for your cell type
Select for successfully transfected cells (vectors often include selection markers such as GFP)
Verify knockout efficiency through sequencing or functional assays
Conduct phenotypic analyses relevant to facial development or other hypothesized functions
When designing your experiment, consider including proper controls such as non-targeting sgRNAs and rescue experiments to confirm phenotype specificity.
When investigating C5orf50's role in facial morphology, design your experiments using a multi-level approach:
Genetic association validation: Confirm the association between rs6555969 and facial measurements (upper facial depth and intercanthal width) in your study population
Expression analysis: Characterize C5orf50 expression patterns during embryonic development, focusing on craniofacial tissues using techniques such as in situ hybridization or immunohistochemistry
Loss-of-function studies: Implement CRISPR/Cas9-mediated knockout in appropriate model systems . Consider:
Cell models: Derive neural crest cells (precursors to facial tissues) from iPSCs with C5orf50 knockout
Animal models: Generate conditional knockout animals focusing on craniofacial development
Measurement standardization: Implement standardized facial measurement techniques as described in genome-wide association studies :
| Facial Measurement | Description | Associated SNP | P-value |
|---|---|---|---|
| Upper facial depth | Approximation of zygion-nasion distance | rs6555969 (near C5orf50) | 0.005 |
| Intercanthal width | Distance between medial canthi | rs6555969 (near C5orf50) | 0.049 |
Pathway analysis: Investigate potential interactions with known craniofacial development pathways (e.g., PAX3, MAFB)
This comprehensive approach ensures robust investigation of C5orf50's functional role in facial development while maintaining methodological rigor.
When selecting cell models for C5orf50 functional studies, consider these methodological factors:
Expression profile matching: Choose cell types that naturally express C5orf50 to ensure physiological relevance. Neural crest-derived cells are recommended given the protein's association with facial development
Developmental relevance: For facial morphology studies, consider:
Human neural crest cells (hNCCs)
Human mesenchymal stem cells (hMSCs)
Osteoblast precursor cell lines (e.g., MC3T3-E1)
Genetic manipulation accessibility: Select cell models amenable to CRISPR/Cas9 transfection with the C5orf50 sgRNA vectors . Consider:
Transfection efficiency
Selection marker compatibility
Genomic stability
Phenotypic assessment capability: Ensure your cell model allows for measurement of relevant phenotypes, such as:
Migration assays (for neural crest cell behavior)
Differentiation potential into craniofacial tissues
Gene expression profiling of craniofacial development markers
3D culture potential: Consider organoid or 3D culture systems that better recapitulate the spatial organization of developing facial structures
The optimal approach often combines multiple cell models to cross-validate findings and capture different aspects of C5orf50 function across developmental contexts.
The relationship between SNPs near C5orf50 and facial phenotype variations follows several potential mechanistic pathways:
Regulatory effects: The SNP rs6555969 near C5orf50 likely affects gene regulation rather than protein function . It may:
Alter transcription factor binding sites affecting C5orf50 expression levels
Influence enhancer/repressor interactions
Modify chromatin accessibility in facial development contexts
Developmental timing effects: The variant may alter the temporal expression pattern of C5orf50 during critical windows of facial development, affecting:
Neural crest cell migration
Mesenchymal condensation
Osteoblast differentiation and activity
Tissue-specific effects: The association with specific facial measurements (upper facial depth, p = 0.005; intercanthal width, p = 0.049) suggests tissue-specific effects . The variant likely influences:
Regional growth rates during facial development
Boundary formation between facial prominences
Tissue interactions at specific facial landmarks
Interaction with environmental factors: The phenotypic manifestation may depend on environmental contexts such as:
Maternal nutrition during development
Exposure to teratogens
Mechanical forces during facial growth
To investigate these mechanisms, researchers should design experiments that examine gene expression changes in the presence of different allelic variants, ideally in developmental models that recapitulate facial morphogenesis.
C5orf50 functions within a complex genetic network influencing facial morphology:
Coordinate action with established facial morphology genes: Genome-wide association studies have identified several genes involved in facial development that may interact with C5orf50, including:
Pathway integration: C5orf50 likely participates in established developmental pathways:
Neural crest specification and migration
Mesenchymal-epithelial interactions
Osteoblast differentiation and function
Potential genetic interactions: Experimental evidence suggests possible epistatic relationships:
Combined effects of C5orf50 and PAX3 variants may influence intercanthal width more dramatically than either variant alone
The proximity of associations for both genes suggests potential shared regulatory mechanisms
Evolutionary conservation: Comparative genomics can reveal functional relationships:
Examine if C5orf50 and known facial morphology genes show similar patterns of evolutionary conservation
Investigate co-expression patterns across species
To define these relationships experimentally, consider co-immunoprecipitation studies, chromatin conformation capture, or double-knockout experiments to identify genetic interactions between C5orf50 and established facial morphology genes.
Differentiating direct from indirect effects of C5orf50 on facial phenotypes requires a systematic experimental approach:
Temporal manipulation studies:
Pathway dissection:
Perform RNA-seq after C5orf50 knockout to identify immediately affected genes
Use pharmacological inhibitors to block downstream pathways while measuring phenotypic outcomes
Construct a temporal map of transcriptional changes following C5orf50 perturbation
Protein interaction analyses:
Identify direct binding partners of C5orf50 through techniques like BioID or IP-MS
Validate interactions through co-immunoprecipitation or FRET analysis
Create interaction-deficient mutants to determine which interactions mediate which phenotypic effects
Rescue experiments with domain specificity:
Design rescue constructs expressing specific domains of C5orf50
Determine which domains are necessary and sufficient for phenotypic rescue
Map phenotypic effects to molecular functions of specific protein regions
Cross-species validation:
Compare C5orf50 function across species with different facial morphologies
Identify conserved versus divergent mechanisms affecting facial measurements
This comprehensive approach helps distinguish primary molecular functions of C5orf50 from secondary effects propagating through developmental networks.
Interpreting genome-wide association study (GWAS) data for C5orf50 presents several methodological challenges:
Linkage disequilibrium complexities: The SNP rs6555969 near C5orf50 associated with facial measurements may not be the causal variant, but rather in linkage disequilibrium with the true functional variant. Researchers should:
Perform fine-mapping studies to identify all variants in the associated region
Use population-specific LD patterns to narrow the causal variant candidates
Consider that the associated variant may actually affect neighboring genes
Phenotypic measurement standardization: Facial measurements vary in definition and methodology across studies:
Pleiotropy versus causality: The association of rs6555969 with both upper facial depth and intercanthal width raises questions about:
Whether C5orf50 independently affects multiple traits
If one phenotype is secondary to another
Potential confounding variables affecting both measurements
Population stratification: Facial morphology varies substantially across populations:
To address these challenges, implement meta-analytic approaches across studies, conduct trans-ethnic fine-mapping, and develop standardized phenotyping protocols for facial measurements.
When confronting contradictory data about C5orf50 function, implement this methodological framework:
Context-dependent analysis:
Catalog experimental conditions across contradictory studies (cell types, developmental stages, measurement techniques)
Test if contradictions resolve when controlling for these variables
Consider that C5orf50 may have context-dependent functions
Technical validation:
Isoform-specific functions:
Determine if studies examined different C5orf50 isoforms
Design isoform-specific knockdown/knockout experiments
Characterize expression patterns of each isoform across relevant tissues
Reconciliation through computational models:
Develop mathematical models incorporating seemingly contradictory data
Identify parameters that could explain divergent results
Design experiments to test model predictions
Collaborative resolution strategy:
Organize collaborative experiments between labs reporting contradictory results
Standardize protocols and share reagents
Perform blinded analyses to minimize bias
Document all reconciliation attempts in your publications, as the process of resolving contradictions often reveals important biological insights about context-dependent protein functions.
Translating C5orf50 research from model systems to human applications requires careful methodological consideration:
Cross-species conservation assessment:
Phenotypic scaling considerations:
Establish how facial measurements in model organisms correspond to human measurements
Develop standardized methods to quantify comparable features across species
Consider allometric relationships when comparing phenotypic effects
Developmental timing differences:
Map equivalent developmental stages between models and humans
Account for differences in the timing of neural crest migration and facial prominence formation
Adjust experimental interventions to target homologous developmental windows
Functional validation in human cells:
Ethical considerations for human studies:
Develop clear protocols for obtaining informed consent when studying human facial genetics
Address potential concerns about facial recognition and privacy
Consider the social implications of research linking genetics to facial features
By systematically addressing these considerations, researchers can increase the translational relevance of C5orf50 findings while maintaining scientific rigor.
For optimal expression and purification of recombinant C5orf50, implement this methodological approach:
Expression system selection:
Mammalian systems (HEK293T, CHO cells) are preferred for human C5orf50 to ensure proper folding and post-translational modifications
Consider inducible expression systems to mitigate potential toxicity
For structural studies requiring higher yields, insect cell systems (Sf9, Hi5) offer a compromise between yield and proper processing
Vector design optimization:
Include a cleavable affinity tag (His6, FLAG, or GST) for purification
Consider codon optimization for the expression system
Include a secretion signal if extracellular expression is desired
Expression conditions:
For mammalian systems, culture at 37°C until induction, then reduce to 30-32°C
Optimize induction timing based on cell density
For difficult-to-express constructs, add chemical chaperones (e.g., 4-PBA, DMSO at low concentrations)
Purification protocol:
Begin with affinity chromatography using the engineered tag
Follow with size exclusion chromatography to ensure homogeneity
Validate protein identity via mass spectrometry
Assess protein quality through circular dichroism or thermal shift assays
Stability optimization:
Screen buffer conditions using differential scanning fluorimetry
Typical starting buffers: 25-50 mM Tris or HEPES pH 7.4-8.0, 150 mM NaCl
Consider adding glycerol (5-10%) for long-term storage
Validate the functionality of your recombinant protein through activity assays or binding studies with predicted interaction partners identified in facial development pathways.
When troubleshooting failed C5orf50 knockout experiments using CRISPR/Cas9, follow this systematic approach:
Guide RNA efficiency validation:
Transfection optimization:
Clone selection strategy:
Implement single-cell cloning rather than working with mixed populations
Screen multiple clones (minimum 10-20) for knockout validation
Consider that C5orf50 may be essential in your cell model; look for heterozygous clones
Knockout verification methods:
Use multiple verification approaches:
Genomic sequencing of the target region
Western blotting (if antibodies are available)
RT-qPCR to assess transcript levels
Targeted proteomics if western blotting is inconclusive
Addressing compensation mechanisms:
Consider acute knockout systems (e.g., inducible Cas9) if compensation is suspected
Verify expression of closely related genes that might compensate for C5orf50 loss
Implement combinatorial knockouts if paralogs are identified
Technical details for C5orf50-specific troubleshooting:
Document all troubleshooting steps methodically to inform future experimental design and contribute to the technical knowledge base for C5orf50 research.
For detecting subtle facial phenotypes in C5orf50 research, implement these advanced analytical methods:
These methods collectively enable detection of subtle facial phenotypes that might be missed by conventional measurements, critical for understanding C5orf50's role in facial development.