C7orf66 refers to "chromosome 7 open reading frame 66," indicating that this gene is located on human chromosome 7 . The designation "open reading frame" (ORF) denotes a sequence of DNA that potentially encodes a protein. As of the latest genomic annotations, this gene has been assigned the NCBI gene ID 154907, with information last updated on September 11, 2019 .
The uncharacterized status of C7orf66 places it among numerous proteins in the human proteome whose specific biological roles remain to be fully elucidated. This presents both challenges and opportunities for researchers interested in expanding our understanding of the human genome's functional components. The protein's location on chromosome 7 provides important context for understanding its potential relationships with other genes and possible implications in human physiology or pathology.
The C7orf66 gene encodes a transcript identified as NM_001024607.2 according to the NCBI database . This gene is situated on chromosome 7 of the human genome, with the corresponding protein identified by the NCBI protein ID NP_001019778.1 . In the UniProt database, this protein is assigned the identifier A4D0T2 .
Table 1: Key identifiers associated with C7orf66
| Database | Identifier | Description |
|---|---|---|
| NCBI Gene | 154907 | Human C7orf66 gene ID |
| NCBI Transcript | NM_001024607.2 | Current transcript variant |
| NCBI Protein | NP_001019778.1 | Protein identifier |
| UniProt | A4D0T2 | Protein entry in UniProt |
| Chromosome | 7 | Genomic location |
The Leiden Open Variation Database (LOVD) provides transcript information for C7orf66, listing it as a gene on chromosome 7 with transcript ID NM_001024607.1 . This database tracks variants of this gene, which may have implications for understanding genetic diversity and potential functional consequences of mutations. The Broad Institute's GPP Web Portal confirms the presence of an updated transcript version NM_001024607.2 .
The recombinant form of the C7orf66 protein is commercially available from multiple suppliers, including:
CUSABIO TECHNOLOGY LLC (China): Offers the product under code CSB-CF004190HU, described as "Recombinant Human Uncharacterized protein C7orf66" .
ABM: Provides "C7orf66 Protein Lysate (Human) with C-Ha Tag" under catalog number 14705031 .
Table 3: Commercial suppliers of C7orf66 products
| Supplier | Product Name | Catalog Number | Tag Information |
|---|---|---|---|
| CUSABIO TECHNOLOGY LLC | Recombinant Human Uncharacterized protein C7orf66 | CSB-CF004190HU | N-terminal 10xHis-tag |
| ABM | C7orf66 Protein Lysate (Human) | 14705031 | C-Ha Tag |
While the specific functions of C7orf66 remain uncharacterized, the availability of recombinant forms of this protein enables various research applications:
The recombinant protein can be used in biochemical and cellular assays to investigate potential functions. Given its transmembrane nature, studies might focus on its potential role in membrane-associated processes such as signal transduction or molecular transport. Researchers can employ various techniques including protein localization studies, functional assays, and mutational analyses to begin elucidating the biological role of this protein.
Recombinant C7orf66 can serve as an immunogen for the production of antibodies, which would be valuable tools for detecting and studying the endogenous protein in various experimental contexts . The product information from CUSABIO specifically mentions "Immunogen Species: Homo sapiens (Human)," suggesting its potential use in antibody development. These antibodies could facilitate studies on protein expression patterns in different tissues and cell types.
Recombinant C7orf66 could be employed in protein-protein interaction studies to identify binding partners, potentially providing insights into its biological function. The presence of affinity tags in commercial recombinant proteins facilitates pull-down assays, co-immunoprecipitation experiments, and other interaction-based studies. Identifying the interactome of C7orf66 could provide valuable clues about its cellular functions.
The Broad Institute's GPP Web Portal lists shRNA constructs that match the C7orf66 gene, suggesting that RNA interference approaches have been developed to study the effects of knocking down this gene's expression . These tools would be valuable for investigating the consequences of C7orf66 deficiency in cellular models and could help establish the physiological importance of this protein.
Table 5: Potential research applications for recombinant C7orf66
| Application | Description | Relevant Features |
|---|---|---|
| Functional Studies | Investigation of biological activities | Transmembrane nature suggests membrane-associated functions |
| Antibody Production | Development of detection tools | Full-length protein can serve as immunogen |
| Interaction Studies | Identification of binding partners | Recombinant protein with tags facilitates pull-down experiments |
| RNA Interference | Analysis of loss-of-function effects | shRNA constructs available from research repositories |
The Recombinant Human Uncharacterized protein C7orf66 represents an intriguing protein in the human proteome that warrants further investigation. Its transmembrane nature suggests potential roles in membrane-associated cellular processes, though its specific functions remain to be elucidated. The availability of recombinant forms of this protein from commercial suppliers enables diverse research applications aimed at understanding its biological significance.
C7orf66 (Chromosome 7 Open Reading Frame 66) is a human protein-coding gene located on chromosome 7 that produces a protein whose structure and function remain largely unknown. The term "uncharacterized" indicates that despite being identified through genomic sequencing, the protein's biological role, molecular function, subcellular localization, and interaction partners have not been thoroughly defined through experimental validation.
This classification represents a significant research opportunity in the field of functional proteomics, as approximately 20% of human proteins remain uncharacterized. Recent initiatives specifically target these proteins to enhance our understanding of the complete human proteome . The characterization process typically begins with computational prediction of structural elements, followed by recombinant protein production for experimental validation of biological functions.
For optimal production of recombinant human C7orf66, researchers should consider multiple expression systems based on predicted protein characteristics and experimental requirements:
| Expression System | Advantages | Limitations | Recommended Use Cases |
|---|---|---|---|
| E. coli | Cost-effective, high yield, rapid expression | Limited post-translational modifications, potential inclusion body formation | Initial structural studies, antibody production |
| HEK293 cells | Proper human folding and post-translational modifications | Higher cost, lower yield than bacterial systems | Functional studies requiring authentic modifications |
| Insect cells | Intermediate between bacterial and mammalian systems | More complex than bacterial expression | Complex proteins requiring certain modifications |
The choice of expression system significantly impacts protein quality. For instance, when producing other signaling proteins like Sonic Hedgehog (Shh), HEK293-expressed protein with proper post-translational modifications showed over 200-fold greater activity than E. coli-produced versions . This demonstrates how critical the expression system choice is for maintaining biological activity, especially for proteins like C7orf66 whose function remains unknown.
A comprehensive quality control strategy for recombinant C7orf66 should incorporate multiple analytical approaches:
Purity Assessment: SDS-PAGE and size exclusion chromatography should demonstrate >95% purity, with results documented through gel imaging.
Identity Confirmation: Mass spectrometry (LC-MS/MS) to verify protein sequence and identify potential modifications. Western blotting can verify immunoreactivity if antibodies are available.
Endotoxin Testing: LAL (Limulus Amebocyte Lysate) assay should confirm endotoxin levels below 1.0 EU/μg protein to ensure experimental reliability .
Stability Analysis: Accelerated stability studies should monitor protein integrity under various storage conditions. Properly lyophilized or optimally formulated preparations are essential for maintaining activity during shipping and storage .
Lot-to-Lot Consistency: Each new production lot should be compared to previous standards for bioactivity, purity, and endotoxin levels to ensure experimental reproducibility .
CRISPR-Cas9 technology provides powerful approaches for investigating C7orf66 function through systematic genetic manipulation:
Gene Knockout Strategy:
The Broad Institute has designed specific gRNA sequences for targeting C7orf66 with minimal off-target effects . When designing knockout experiments, researchers should:
Select at least two different gRNA constructs to increase success probability .
Verify gRNA sequences against your target gene sequence, especially if targeting specific splice variants or exons .
Use sequence-verified plasmids containing all required elements: U6 promoter, spacer (target) sequence, gRNA scaffold, and terminator .
Key considerations for successful C7orf66 CRISPR experiments:
Validate knockouts through sequencing and protein expression analysis
Consider potential compensation by paralogous genes
Analyze phenotypes across multiple cellular processes
Implement genome-wide screens to identify genetic interactions
Researchers should note that while a single gRNA construct may be sufficient for gene knockout, using multiple guides increases the probability of successful editing and allows for validation of phenotypes across different targeting strategies .
Post-translational modifications (PTMs) often critically determine protein function, particularly for uncharacterized proteins. A systematic approach to C7orf66 PTM analysis should include:
Prediction and Bioinformatic Analysis: Use computational tools to predict potential PTM sites based on sequence motifs and structural features.
Mass Spectrometry Analysis: Employ LC/ESI-MS to identify mass shifts characteristic of modifications. This approach successfully identified both cholesterol and fatty acid modifications on recombinant Sonic Hedgehog protein, revealing critical functional elements .
Site-Directed Mutagenesis: Create variants with modified potential PTM sites to assess functional consequences.
Functional Comparison: Compare activity of protein expressed in different systems that support varying levels of modifications. For example, with Shh protein, naturally-modified versions showed over 14-fold higher activity than versions lacking proper modifications .
The identification of PTMs may provide crucial insights into C7orf66 function, as demonstrated with other proteins where modifications were essential for proper activity and localization.
Given the uncharacterized nature of C7orf66, bioinformatic analyses provide essential starting points for functional hypothesis generation:
| Bioinformatic Approach | Application to C7orf66 | Output Metrics |
|---|---|---|
| Sequence Homology Analysis | Identify evolutionary relationships and potential functional conservation | Percent identity, e-values, conserved domains |
| Structural Prediction | Generate 3D models to predict functional domains | Model confidence scores, structural similarity to known proteins |
| Gene Co-expression Networks | Identify genes with similar expression patterns | Correlation coefficients, network centrality measures |
| Protein-Protein Interaction Prediction | Identify potential binding partners | Confidence scores, interaction probabilities |
| Subcellular Localization Prediction | Determine likely cellular compartment | Probability scores for different cellular locations |
These computational approaches should inform experimental design rather than replace empirical testing. When applied systematically, they can significantly narrow the experimental search space and accelerate functional characterization.
Developing specific antibodies for uncharacterized proteins presents unique challenges. For C7orf66, researchers should consider:
Epitope Selection Strategy:
Analyze the predicted protein structure to identify surface-exposed regions
Select epitopes with minimal similarity to other proteins
Consider multiple epitopes across the protein to increase detection probability
Validation Protocol:
Cross-Reactivity Testing:
Test against closest homologs to ensure specificity
Validate across multiple cell types and tissues
The credibility of subsequent studies depends heavily on antibody specificity, making thorough validation essential before applying antibodies to biological questions.
Research on uncharacterized proteins like C7orf66 requires rigorous data management to enable reproducibility and future extensions of the work:
Comprehensive Data Deposition: All data should be deposited in appropriate repositories. For uncharacterized proteins, this is particularly important as these datasets form the foundation for future studies.
Data Sharing Best Practices: Data sharing in research is attributed vast potential for scientific progress, allowing reproducibility of results and reuse of data for new insights . A systematic review of scholarly articles identified that academic data sharing has received increasing attention over the past decade .
Documentation Requirements: Document experimental protocols in detail, including expression systems, purification methods, and buffer compositions. For C7orf66, document any modifications to standard protocols required for protein stability or activity.
Research Data Management Plan:
| Data Type | Repository | Documentation Elements | Access Level |
|---|---|---|---|
| Protein sequence | UniProt | Sequence, predicted features, experimental evidence | Open access |
| Expression constructs | Addgene | Vector maps, sequence files, expression protocols | Available upon request |
| Structural data | PDB | Experimental methods, resolution, validation reports | Open access |
| Functional data | Appropriate field-specific database | Experimental design, raw data, analysis code | Open access with citation requirement |
Proper data management practices ensure that research on uncharacterized proteins builds a reliable foundation for the field and accelerates the pace of discovery .
Identification of interaction partners represents a critical step toward understanding the function of uncharacterized proteins:
Affinity Purification-Mass Spectrometry (AP-MS):
Express tagged recombinant C7orf66 in appropriate cell lines
Perform pulldown experiments under physiological conditions
Identify binding partners through mass spectrometry
Validate interactions through reciprocal pulldowns
Proximity Labeling Methods:
Fuse C7orf66 to BioID or APEX2 proximity labeling enzymes
Allow in vivo labeling of proximal proteins
Identify labeled proteins through streptavidin pulldown and mass spectrometry
This approach captures transient interactions often missed by traditional methods
Yeast Two-Hybrid Screening:
Use C7orf66 as bait against human cDNA libraries
Screen for positive interactions through reporter gene activation
Validate interactions in mammalian systems
Co-localization Studies:
Express fluorescently tagged C7orf66 in relevant cell types
Perform immunofluorescence to identify co-localizing proteins
Confirm through super-resolution microscopy techniques
These complementary approaches provide multiple lines of evidence for potential interaction partners, addressing the challenge of identifying functions for uncharacterized proteins through their molecular associations.
Proper storage of recombinant proteins is essential for maintaining activity and experimental reproducibility:
Formulation Development:
Lyophilization Protocol:
Stability Monitoring:
Implement regular testing of stored protein aliquots
Monitor for degradation through SDS-PAGE, activity assays, and mass spectrometry
Establish acceptance criteria for continued use in experiments
Storage Recommendations:
Careful attention to these storage considerations ensures experimental consistency and reliable results when working with sensitive recombinant proteins.
Investigating potential disease associations for uncharacterized proteins requires a multi-faceted approach:
Genetic Association Studies:
Analyze genome-wide association study (GWAS) data for SNPs in or near the C7orf66 locus
Look for altered expression in disease transcriptome datasets
Consider rare variant analysis in sequencing data from patient cohorts
Expression Profiling:
Compare C7orf66 expression across normal and pathological tissues
Analyze expression changes during disease progression
Correlate expression with clinical parameters
Functional Rescue Experiments:
Pathway Analysis:
Based on interaction partners and expression patterns, identify potential signaling pathways involving C7orf66
Test effects of C7orf66 manipulation on pathway activation using reporter assays
This systematic approach can reveal unexpected roles for uncharacterized proteins in disease mechanisms, potentially identifying new therapeutic targets.
Determining the structure of uncharacterized proteins presents unique challenges that can be addressed through complementary techniques:
| Technique | Application to C7orf66 | Resolution Range | Sample Requirements |
|---|---|---|---|
| X-ray Crystallography | High-resolution structural determination | 0.5-3Å | Milligram quantities of purified protein that forms diffracting crystals |
| Cryo-Electron Microscopy | Structural determination without crystallization | 2-4Å | Microgram quantities of purified protein |
| NMR Spectroscopy | Dynamic structure and binding interactions | Atomic resolution for proteins <30kDa | Isotopically labeled protein in milligram quantities |
| Small-Angle X-ray Scattering (SAXS) | Low-resolution envelope, flexibility analysis | 10-30Å | Monodisperse protein in solution |
| AlphaFold2 Prediction | Computational structure prediction | Varies with confidence | Protein sequence only |
Researchers should select techniques based on protein characteristics and specific research questions. For instance, if C7orf66 contains flexible regions or undergoes conformational changes, a combination of crystallography or Cryo-EM with SAXS or NMR might provide complementary insights into both structure and dynamics.