The zebrafish CCDC167 recombinant protein is typically produced and purified using standardized biotechnological workflows:
Recombinant proteins like CCDC167 are often His-tagged for purification efficiency. The zebrafish variant’s stability is enhanced by glycerol, which prevents aggregation during freeze-thaw cycles .
The recombinant zebrafish CCDC167 is primarily used in:
Its use in zebrafish models offers insights into developmental biology and disease mechanisms, particularly in cancer or neurodegeneration. For example, human CCDC167’s role in breast cancer progression could guide analogous studies in zebrafish.
Zebrafish CCDC167 shares structural features with homologs in humans and bovines, but sequence divergence may influence functional specificity:
| Position | Zebrafish (Q5RHZ2) | Human (A1A4P9) | Conservation |
|---|---|---|---|
| 1–50 | MTRTRTVKKEKISVASEIDRV | MTKKKRENLGVALEIDG | Moderate |
| 51–100 | EERKLQCKNSLERAEFRKRKQ | LKLSQCRRDLEVVNSR | Low |
KEGG: dre:556080
UniGene: Dr.12980
CCDC167 (Coiled-coil domain-containing protein 167) in Danio rerio is a protein characterized by its coiled-coil structural motif, where alpha-helices are intertwined to form a supercoil structure. The zebrafish CCDC167 protein consists of 100 amino acids with the sequence: MTRTRTVKKEKISVASEIDRVEERKLQCKNSLERAEFRKRKQQLSDDDRLALEDEMTILNERVEKYEK DLQVLRGENRRNMMLSVALLAISALFYYTFIY . The protein contains specific structural regions that enable protein-protein interactions, which are crucial for its biological functions.
While the precise function of CCDC167 in zebrafish remains under investigation, research on human CCDC167 suggests potential involvement in cell cycle regulation and proliferation pathways . Based on conserved domains and evolutionary relationships, zebrafish CCDC167 likely participates in similar cellular processes, potentially including cell division progression, mitosis initiation, and chromosome separation .
For optimal experimental outcomes with recombinant Danio rerio CCDC167:
Storage Conditions:
Store at -20°C for regular storage periods
For extended preservation, maintain at -80°C
Utilize 50% glycerol in Tris-based buffer as storage medium
Avoid repeated freeze-thaw cycles to maintain protein integrity
Handling Guidelines:
Create working aliquots that can be stored at 4°C for up to one week
Thaw frozen aliquots on ice to minimize protein degradation
Centrifuge briefly after thawing to collect content at the bottom of the tube
Validate protein activity after extended storage through functional assays
For experiments requiring higher protein concentrations, note that the recombinant protein is typically supplied at a quantity of 50 μg, though other quantities may be available upon request .
When investigating CCDC167 function in zebrafish, several experimental models offer distinct advantages:
Embryonic Models:
Early embryonic stages (0-72 hpf) allow for easy observation of developmental effects
Embryos permit high-throughput screening of morphological changes following CCDC167 manipulation
Zebrafish embryo pools of different sizes (10-20 embryos per pool) provide optimal statistical power for gene expression studies
Cell-based Systems:
Zebrafish cell lines can be utilized for in vitro studies of CCDC167 function
Experimental approaches similar to those used with human MCF-7 cells can be adapted for zebrafish cell lines
Short-term and long-term cell proliferation assays (MTT and colony formation) can assess CCDC167's impact on cellular growth
Knockdown/Knockout Models:
Morpholino-based knockdown provides temporary reduction of CCDC167 expression
CRISPR/Cas9-generated mutant lines offer permanent genetic models
shRNA approaches (as used in human cell studies) can be adapted for zebrafish studies
The choice of model should align with specific research questions, with embryonic models being particularly suitable for developmental studies and cell-based systems for molecular pathway investigations.
When designing gene expression studies for CCDC167 in zebrafish embryos, consider these methodological recommendations:
Sample Size and Pooling Strategy:
Utilize larger pool sizes (10-20 embryos per pool) and sample sizes (n=8-10) to minimize false positive differential gene expression
Be aware that while larger pool and sample sizes reduce differential expression false positives, they may paradoxically increase false positives in Gene Set Enrichment Analysis (GSEA)
Expression Analysis Considerations:
| Analysis Parameter | Recommendation | Rationale |
|---|---|---|
| Pool Size | 10-20 embryos | Reduces biological variability within pools |
| Biological Replicates | 8-10 samples | Provides robust statistical power |
| Control Groups | Include vehicle-matched controls | Essential for accurate differential expression analysis |
| Statistical Threshold | Adjust for multiple comparisons | Reduces false discovery rate |
| Validation Method | qPCR for key findings | Confirms RNA-seq or microarray findings |
Pathway Analysis Approaches:
Over-Representation Analysis (ORA) shows fewer false positives with larger pool and sample sizes, making it preferable for well-powered studies
GSEA produces more false positives in studies with larger pool sizes and in contrasts with zero differentially expressed genes (DEGs)
Be particularly cautious with GSEA results showing enrichment of ribosomal gene sets in conditions with minimal differential expression, as these may be false positives
To effectively investigate CCDC167 co-expression networks in zebrafish:
Network Analysis Methods:
Leverage bioinformatics approaches similar to those used for human CCDC167 studies, including co-expression analysis from RNA-seq data
Utilize zebrafish-specific databases to identify genes with expression patterns correlated with CCDC167
Apply differential co-expression analysis to identify gene relationships that change between normal and experimental conditions
Integrated Analysis Workflow:
Generate whole-transcriptome data from control and experimental conditions
Identify genes whose expression correlates with CCDC167 across conditions
Perform functional annotation of co-expressed genes using zebrafish-specific ontologies
Validate key co-expression relationships through targeted gene expression studies
Investigate protein-protein interactions among products of co-expressed genes
As demonstrated in human studies, CCDC167-co-expressed genes often associate with specific biological processes. In human breast cancer, CCDC167-co-expressed genes were involved in cell cycle-related molecular processes, suggesting that similar pathway enrichment might be observed in zebrafish studies .
For effective genetic manipulation of CCDC167 in zebrafish:
Knockdown Strategies:
Morpholino design should target splice junctions or translation start sites of ccdc167
Use 1-4 ng of morpholino for embryo microinjection at the 1-2 cell stage
Include appropriate controls: mismatch morpholinos and rescue experiments with co-injection of ccdc167 mRNA
Validate knockdown efficiency through RT-PCR and Western blotting
CRISPR/Cas9 Knockout Approach:
Design multiple guide RNAs targeting early exons of ccdc167
Inject 100-300 pg of guide RNA and 300-500 pg of Cas9 mRNA
Screen F0 mosaic embryos for phenotypes and mutation efficiency
Establish stable F2 lines for comprehensive phenotypic analysis
Phenotypic Assessment:
Based on human studies, examine proliferation, cell cycle progression, and apoptosis markers
Assess developmental timing, morphology, and tissue-specific defects
Perform transcriptomic analysis to identify affected pathways
Consider chemical treatments (based on human cancer drug studies) to determine if they impact CCDC167-dependent phenotypes
Human studies demonstrated that knockdown of CCDC167 attenuated aggressive cancer growth and proliferation, suggesting zebrafish ccdc167 knockdown might yield observable phenotypes related to cell proliferation during development or in regeneration models .
When analyzing CCDC167 expression data in zebrafish:
Avoiding False Positives in Expression Studies:
Be aware that pathway analysis methods respond differently to experimental design parameters
Over-Representation Analysis (ORA) shows fewer false positives with larger pool and sample sizes
Gene Set Enrichment Analysis (GSEA) shows more false positives under conditions with minimal differential expression
Statistical Analysis Guidelines:
| Analysis Type | Potential Issues | Recommended Approach |
|---|---|---|
| Differential Expression | Type I error with small samples | Use larger pool sizes (P10-P20) and adequate replicates (n≥8) |
| Pathway Analysis - ORA | False positives with small samples | Preferable with larger studies and clear DEGs |
| Pathway Analysis - GSEA | False positives in studies with no DEGs | Exercise caution, particularly with ribosomal gene sets |
| Correlation Analysis | Spurious correlations | Validate with independent datasets |
Interpreting GSEA Results:
Be particularly cautious when interpreting GSEA results in contrasts where there are no differentially expressed genes (DEGs)
Ribosomal gene sets are especially prone to false-positive enrichment in GSEA due to their natural co-regulation
Consistent direction of fold change (most genes up or most genes down) within a gene set can lead to false positive GSEA results even without significant individual gene changes
To effectively compare CCDC167 function across species:
Cross-Species Comparison Approach:
Align zebrafish and human CCDC167 sequences to identify conserved domains and potential functional regions
Compare expression patterns across tissues and developmental stages
Assess conservation of co-expression networks and pathway associations
Validate functional conservation through rescue experiments (human CCDC167 in zebrafish knockouts)
Translational Considerations:
Human studies have established several key findings about CCDC167 that may guide zebrafish research:
CCDC167 is upregulated in various human tumor types, particularly breast cancer
High CCDC167 expression correlates with poor prognosis in breast cancer patients
CCDC167 knockdown reduces cell proliferation and colony formation in human cancer cells
Treatment with chemotherapeutic agents (fluorouracil, carboplatin, paclitaxel, doxorubicin) decreases CCDC167 expression in human cancer cells
These findings suggest potential experimental designs in zebrafish, such as:
Examining ccdc167 expression in zebrafish cancer models
Assessing the impact of ccdc167 manipulation on cell proliferation during development or regeneration
Testing whether drugs that target human CCDC167 have similar effects in zebrafish models
Robust experimental design requires appropriate controls:
Essential Control Strategies:
Addressing GSEA False Positives:
Include bidirectional analysis (checking both up and down-regulated pathways)
Confirm directional consistency across replicates
Be particularly cautious of ribosomal gene set enrichment when minimal differential expression is observed
Validate key findings with alternative analysis methods (like ORA)
Phenotypic Analysis:
Include wild-type siblings from the same clutch as knockdown/knockout embryos
Perform blinded phenotypic scoring to reduce observer bias
Include quantitative metrics alongside qualitative assessments
Use appropriate rescue approaches to confirm phenotype specificity
Based on current knowledge of CCDC167 biology:
Developmental Roles:
Given human CCDC167's association with cell cycle processes, zebrafish ccdc167 likely functions in proliferative aspects of development
Expression patterns may correlate with highly proliferative developmental periods and tissues
Potential involvement in organogenesis, particularly in tissues requiring rapid proliferation
Possible role in regenerative processes, which are prominent in zebrafish models
Disease Modeling Applications:
Zebrafish cancer models could reveal ccdc167's role in tumor initiation and progression
Based on human studies, ccdc167 manipulation might affect proliferation in regeneration and wound healing models
Potential utility in drug screening platforms targeting ccdc167 or its pathways
Developmental timing defects may emerge from ccdc167 dysfunction if cell cycle regulation is impaired
Human studies identified cell cycle, immune response, and ubiquitination-related pathways as being associated with CCDC167 co-expressed genes . These pathways are highly conserved and likely relevant to zebrafish ccdc167 function as well.
Researchers should consider these important limitations:
Methodological Challenges:
Gene duplication events in teleost fish may have created paralogs with divergent functions
Developmental timing differences between zebrafish and mammals complicate direct translation of findings
Background strain differences can influence phenotypic outcomes of genetic manipulations
Technical variability in microinjection and gene expression can impact experimental reproducibility
Analytical Considerations:
False positives in GSEA, particularly for ribosomal gene sets, can lead to erroneous pathway annotations
The signal-to-noise ratio in gene expression studies is particularly important—studies with minimal differential expression are especially prone to GSEA false positives
Pathway analysis results may be susceptible to both type I errors (false positives) and type II errors (false negatives) depending on experimental design
Coordinated gene expression patterns can lead to statistically significant but biologically irrelevant pathway enrichment
Translational Limitations:
Differences in tissue architecture and physiology between zebrafish and humans
Limited conservation of certain signaling pathways and regulatory mechanisms
Zebrafish may lack certain cell types or specialized tissues present in mammals
Drug metabolism and pharmacokinetics differ between zebrafish and humans
Several cutting-edge approaches show promise for advancing zebrafish CCDC167 research:
Advanced Genetic Tools:
Conditional knockout systems using Cre-lox or inducible promoters
Base editing and prime editing for precise genetic modifications
Optogenetic and chemogenetic tools for temporal control of ccdc167 activity
Single-cell RNA sequencing to identify cell-specific roles of ccdc167
Imaging Innovations:
Live imaging of fluorescently tagged Ccdc167 protein to track subcellular localization
Light sheet microscopy for whole-organism imaging with minimal phototoxicity
Super-resolution microscopy to visualize protein-protein interactions
Correlative light and electron microscopy for ultrastructural contexts
Computational Approaches:
Machine learning algorithms for phenotypic classification
Network analysis tools for integrating multi-omics data
Improved GSEA implementations that address false positive issues in low-signal conditions
Cross-species pathway analysis tools to facilitate translational interpretations
Combining these technologies with the inherent advantages of zebrafish models (transparency, high fecundity, external development) will enable more comprehensive understanding of CCDC167 biology.
Translational strategies for zebrafish CCDC167 research:
Bridging Model Systems:
Validate key zebrafish findings in mammalian cell cultures and mouse models
Perform comparative studies of CCDC167 pathway conservation across species
Use humanized zebrafish models expressing human CCDC167 variants
Develop zebrafish assays specifically designed to complement clinical observations
Drug Discovery Applications:
Screen compound libraries for modulators of ccdc167 expression or function
Test chemotherapeutic agents identified in human studies (fluorouracil, carboplatin, paclitaxel, doxorubicin) in zebrafish models
Develop targeted approaches based on ccdc167 co-expression networks
Validate hits from zebrafish screens in human cell and tissue models
Clinical Relevance:
Based on human studies, CCDC167 has been identified as a potential therapeutic target in breast cancer, with knockdown attenuating cancer cell growth and proliferation . Zebrafish models could help elucidate:
Fundamental mechanisms of CCDC167 function relevant to human disease
Off-target effects of CCDC167-targeting therapeutics
Developmental impacts of CCDC167 modulation
Combination therapy approaches involving CCDC167 pathway intervention