The Ccdc107 gene (NCBI Gene ID: 203260) is located on chromosome 9p13.3 and spans approximately 3.2 kilobases. It encodes a 283-amino acid protein (UniProt ID: Q9DCC3) with a coiled-coil domain, a structural motif critical for protein-protein interactions . Key features include:
Isoforms: Alternative splicing generates multiple transcript variants, suggesting functional diversity .
Membrane Localization: Predicted to localize to cellular membranes, though specific subcellular compartments remain under investigation .
Evolutionary Conservation: Orthologs exist in human (CCDC107), rat, and other species, indicating conserved biological roles .
The coiled-coil domain, composed of α-helices arranged in a rope-like structure, facilitates interactions with other proteins. This motif is often associated with:
Transcriptional Regulation: Similar to oncogenic proteins like c-Fos and c-Jun .
Cytoskeletal Organization: Analogous to tropomyosin, which stabilizes actin filaments .
Signal Transduction: Mediated by interactions with RAB11A (via TBC1D12) and ERK pathway regulators like WDR54 .
| Interaction Partner | Function | Evidence Score |
|---|---|---|
| TBC1D12 | RAB11A-binding protein; regulates neurite outgrowth | 0.513 |
| CCDC84 | Coiled-coil domain protein; structural role | 0.490 |
| DXO | RNA decapping enzyme; quality control of mRNA | 0.477 |
| WDR54 | Regulates ERK signaling; sustains EGF receptor degradation | 0.438 |
Data sourced from STRING interaction networks .
Recombinant Ccdc107 is utilized in studies to elucidate its biochemical roles and pathological relevance. Key findings include:
Ccdc107 expression is modulated by environmental stressors and pharmacological agents:
RAB11A-Mediated Vesicle Trafficking: Ccdc107 interacts with TBC1D12 to regulate membrane dynamics .
Hedgehog Signaling: Indirect involvement via TEDC2, a ciliary signaling regulator .
Apoptosis and DNA Repair: Potential role in stress responses, inferred from interactions with PARP2 and UBQLN4 .
Cancer Association: Ccdc107 is not classified as a cancer-causing gene in COSMIC databases, though somatic mutations are reported in cancer cell lines .
Toxicity Biomarker: Expression changes in response to cadmium, chlorpyrifos, and paracetamol suggest a role in xenobiotic response pathways .
Metabolic Regulation: Upregulation by dexamethasone and clofibrate implicates it in lipid metabolism and steroid signaling .
KEGG: mmu:622404
UniGene: Mm.289109
Mouse Ccdc107 is a coiled-coil domain-containing protein encoded by the Ccdc107 gene (Gene ID: 203260) . The protein has the UniProt accession number Q9DCC3 . As suggested by its name, it contains coiled-coil domains, which are structural motifs that mediate protein-protein interactions. The mature protein functions as a precursor and is characterized by:
The protein's coiled-coil domains likely play an important role in protein-protein interactions and potentially in cellular structural organization, though the complete structural characterization requires further investigation using techniques such as X-ray crystallography or cryo-electron microscopy.
While the search results don't provide comprehensive tissue-specific expression data for mouse Ccdc107, research methodologies to determine this would involve:
Quantitative PCR (qPCR) to measure mRNA expression levels across different tissues
Western blotting to quantify protein expression
Immunohistochemistry to visualize protein localization in tissue sections
RNA-seq analysis of tissue-specific transcriptomes
By analogy to human CCDC107 expression patterns, which show variable expression across different tissues as indicated in the Human Protein Atlas , mouse Ccdc107 likely has differential expression across various tissues, suggesting tissue-specific functions. To characterize this definitively, researchers should employ a combination of the above techniques on a panel of mouse tissues.
Based on the available research tools, several approaches can be used for producing recombinant Mouse Ccdc107:
The production protocol typically involves:
Cloning the Ccdc107 gene sequence into an appropriate expression vector
Transformation/transfection into the chosen expression system
Induction of protein expression
Cell lysis and protein purification using affinity tags (His-tag commonly used)
Validation of protein identity and purity via SDS-PAGE and Western blotting
Quality control testing including functional assays and endotoxin testing
The choice of expression system should be guided by the intended downstream applications of the recombinant protein.
Detection methods differ slightly for endogenous versus recombinant Ccdc107:
For endogenous Ccdc107:
RT-qPCR using gene-specific primers to quantify mRNA expression
Western blotting with validated antibodies against native Ccdc107
Immunohistochemistry/immunofluorescence for tissue localization
For recombinant Ccdc107:
Western blotting using tag-specific antibodies (e.g., anti-His tag)
ELISA with either tag-specific or protein-specific antibodies
Mass spectrometry for protein identification and characterization
When comparing expression between samples, RT-qPCR is commonly used, as demonstrated in the colorectal cancer studies that examined differential expression of CCDC107 .
CRISPR-Cas9 technology offers precise genetic manipulation for Ccdc107 functional studies. The following methodology is recommended based on available CRISPR resources:
gRNA Design: Select effective guide RNAs targeting Ccdc107 exons. The guide RNAs should be designed to minimize off-target effects while maximizing on-target efficiency. Feng Zhang's laboratory at the Broad Institute has designed validated gRNAs specifically targeting CCDC107 .
Delivery Method Selection:
Plasmid-based delivery for stable cell lines
Ribonucleoprotein (RNP) complex for transient editing with minimal off-target effects
Viral vectors (lentivirus, adenovirus) for difficult-to-transfect cells
Validation of Knockout Efficiency:
Clone Selection: Isolate and expand monoclonal populations with confirmed knockouts rather than using heterogeneous populations, which may contain cells with varying editing efficiencies .
When using commercially available knockout cell lines like the CCDC107 CRISPR Knockout 293T Cell Line, verification of knockout should still be performed in your laboratory conditions .
While specific phenotypic changes in Ccdc107 knockout models are not explicitly detailed in the search results, researchers interested in characterizing such models should employ:
Cellular Analysis:
Growth rate and proliferation assessments
Cell morphology examination
Cell cycle analysis
Apoptosis assays
Molecular Profiling:
Transcriptome analysis (RNA-seq) to identify dysregulated pathways
Proteomics to detect changes in protein expression and interactions
Metabolomics to identify altered metabolic processes
Functional Assays:
Migration and invasion assays (particularly relevant for cancer studies)
Stress response evaluations
Differentiation capacity assessment
Based on the association between CCDC107 downregulation and colorectal cancer , researchers should pay particular attention to cancer-related phenotypes, including changes in proliferation, apoptosis resistance, and migration capabilities.
The relationship between CCDC107 and RMRP lncRNA has been studied in the context of colorectal cancer. Here's what research has revealed:
Expression Patterns: While CCDC107 is significantly down-regulated in colorectal cancer tissues (p < 0.05), RMRP expression does not show significant alteration in CRC versus normal tissues .
Diagnostic Value:
Clinical Correlations: CCDC107 downregulation is associated with:
Staging Relevance: Expression of neither gene changes significantly across different disease stages, suggesting their alterations may be early events in carcinogenesis .
Researchers investigating this relationship should employ:
Co-expression analysis to determine correlation patterns
Protein-RNA interaction studies (RIP, CLIP) to identify direct interactions
Functional studies to determine if RMRP regulates CCDC107 expression
In vivo models to validate the relationship's impact on disease progression
While the search results don't provide detailed information on Ccdc107 regulatory mechanisms, a comprehensive research approach would include:
Transcriptional Regulation:
Promoter analysis to identify transcription factor binding sites
ChIP-seq to identify proteins interacting with the Ccdc107 promoter
Epigenetic profiling (DNA methylation, histone modifications)
Post-transcriptional Regulation:
miRNA binding site analysis and validation
RNA stability assessments
Alternative splicing analysis
Post-translational Modifications:
Phosphorylation, acetylation, ubiquitination analysis
Protein half-life determination
Subcellular localization studies
The significant downregulation of CCDC107 in colorectal cancer suggests either transcriptional repression, epigenetic silencing, or post-transcriptional regulation by miRNAs or other non-coding RNAs . Understanding these mechanisms could reveal therapeutic targets for diseases where Ccdc107 expression is dysregulated.
The potential of CCDC107 as a cancer biomarker has been demonstrated in colorectal cancer research:
Diagnostic Performance:
Methodological Approach for Biomarker Validation:
Sample Collection: Paired tumor and adjacent normal tissues (as used in the study with 72 CRC cases)
Expression Analysis: RT-qPCR for quantitative assessment of expression levels
Statistical Validation: ROC curve analysis, sensitivity/specificity calculations
Clinical Correlation: Association with survival outcomes, tumor characteristics, and treatment response
Implementation Strategies:
Development of standardized RT-qPCR protocols for clinical laboratories
Creation of immunohistochemistry assays for tissue biopsies
Exploration of blood-based detection methods (if the protein is secreted or if circulating tumor cells express it)
Combinatorial Approaches:
Integration with established biomarkers for improved diagnostic accuracy
Development of multi-marker panels that include CCDC107
Correlation with imaging and other clinical parameters
Researchers should validate these findings in larger cohorts across different populations to establish the robustness of Ccdc107 as a biomarker.
While the search results don't directly address therapeutic targeting of Ccdc107, several approaches warrant investigation based on its downregulation in cancer:
Expression Restoration Strategies:
Gene therapy approaches to reintroduce functional Ccdc107
Epigenetic modifiers to reverse potential silencing mechanisms
Small molecules that can induce Ccdc107 expression
Targeting Regulatory Pathways:
Inhibition of transcriptional repressors that may downregulate Ccdc107
Anti-miRNA approaches if miRNAs are identified that target Ccdc107
Modulation of signaling pathways that regulate Ccdc107 expression
Protein Stabilization Approaches:
Small molecules that can bind to and stabilize Ccdc107 protein
Inhibitors of proteolytic pathways that may degrade Ccdc107
Combination Therapies:
Integration with standard treatments for synergistic effects
Sequential therapeutic approaches based on molecular response
While the search results provide limited information on conservation, the following methodological approach would determine conservation and functional implications:
Sequence Alignment Analysis:
Perform multiple sequence alignments of Ccdc107 protein sequences from various species
Calculate percent identity and similarity between mouse and human orthologs
Identify conserved domains and motifs across species
Phylogenetic Analysis:
Construct phylogenetic trees to understand evolutionary relationships
Determine when in evolutionary history the gene emerged
Identify species-specific adaptations in the protein sequence
Structural Conservation:
Compare predicted or determined 3D structures across species
Identify conserved structural elements that may be critical for function
Analyze conservation of protein interaction surfaces
Functional Conservation Testing:
Cross-species complementation experiments
Comparing knockout phenotypes across model organisms
Evaluation of conserved interaction partners
High conservation across species would suggest fundamental cellular functions for Ccdc107, while divergence might indicate species-specific adaptations. The known association with colorectal cancer in humans suggests at least some functional conservation in cellular processes relevant to cancer development .
Based on current knowledge and gaps identified in the search results, the following research directions warrant investigation:
Structural and Functional Characterization:
Comprehensive structural analysis using X-ray crystallography or cryo-EM
Identification of functional domains through mutagenesis studies
Determination of binding partners through proteomics approaches
Regulatory Network Mapping:
Identification of transcription factors controlling Ccdc107 expression
Characterization of non-coding RNAs regulating Ccdc107
Analysis of epigenetic mechanisms affecting gene expression
Role in Cancer Biology:
Expanded analysis across multiple cancer types
Mechanistic studies of how Ccdc107 loss contributes to tumorigenesis
Investigation of potential tumor suppressor functions
Therapeutic Development:
High-throughput screening for compounds that modulate Ccdc107 expression
Development of targeted therapies based on Ccdc107 pathways
Exploration of biomarker-guided treatment approaches
Mouse Models:
Development of tissue-specific conditional knockout models
Creation of transgenic models with fluorescent-tagged Ccdc107 for in vivo tracking
Analysis of Ccdc107 in mouse models of colorectal cancer
These research directions would address current knowledge gaps and potentially lead to clinically relevant applications in diagnostics and therapeutics.
Recombinant Mouse Coiled-coil domain-containing protein 107 (Ccdc107) has emerged as a significant protein of interest in various research domains, particularly in cancer studies. This comprehensive FAQ guide addresses common questions that researchers encounter when working with this protein.
Mouse Ccdc107 is a coiled-coil domain-containing protein encoded by the Ccdc107 gene (Gene ID: 203260) . The protein has the UniProt accession number Q9DCC3 . As suggested by its name, it contains coiled-coil domains, which are structural motifs that mediate protein-protein interactions. The mature protein functions as a precursor and is characterized by:
The protein's coiled-coil domains likely play an important role in protein-protein interactions and potentially in cellular structural organization, though the complete structural characterization requires further investigation using techniques such as X-ray crystallography or cryo-electron microscopy.
While the search results don't provide comprehensive tissue-specific expression data for mouse Ccdc107, research methodologies to determine this would involve:
Quantitative PCR (qPCR) to measure mRNA expression levels across different tissues
Western blotting to quantify protein expression
Immunohistochemistry to visualize protein localization in tissue sections
RNA-seq analysis of tissue-specific transcriptomes
By analogy to human CCDC107 expression patterns, which show variable expression across different tissues as indicated in the Human Protein Atlas , mouse Ccdc107 likely has differential expression across various tissues, suggesting tissue-specific functions. To characterize this definitively, researchers should employ a combination of the above techniques on a panel of mouse tissues.
Based on the available research tools, several approaches can be used for producing recombinant Mouse Ccdc107:
The production protocol typically involves:
Cloning the Ccdc107 gene sequence into an appropriate expression vector
Transformation/transfection into the chosen expression system
Induction of protein expression
Cell lysis and protein purification using affinity tags (His-tag commonly used)
Validation of protein identity and purity via SDS-PAGE and Western blotting
Quality control testing including functional assays and endotoxin testing
The choice of expression system should be guided by the intended downstream applications of the recombinant protein.
Detection methods differ slightly for endogenous versus recombinant Ccdc107:
For endogenous Ccdc107:
RT-qPCR using gene-specific primers to quantify mRNA expression
Western blotting with validated antibodies against native Ccdc107
Immunohistochemistry/immunofluorescence for tissue localization
For recombinant Ccdc107:
Western blotting using tag-specific antibodies (e.g., anti-His tag)
ELISA with either tag-specific or protein-specific antibodies
Mass spectrometry for protein identification and characterization
When comparing expression between samples, RT-qPCR is commonly used, as demonstrated in the colorectal cancer studies that examined differential expression of CCDC107 .
CRISPR-Cas9 technology offers precise genetic manipulation for Ccdc107 functional studies. The following methodology is recommended based on available CRISPR resources:
gRNA Design: Select effective guide RNAs targeting Ccdc107 exons. The guide RNAs should be designed to minimize off-target effects while maximizing on-target efficiency. Feng Zhang's laboratory at the Broad Institute has designed validated gRNAs specifically targeting CCDC107 .
Delivery Method Selection:
Plasmid-based delivery for stable cell lines
Ribonucleoprotein (RNP) complex for transient editing with minimal off-target effects
Viral vectors (lentivirus, adenovirus) for difficult-to-transfect cells
Validation of Knockout Efficiency:
Clone Selection: Isolate and expand monoclonal populations with confirmed knockouts rather than using heterogeneous populations, which may contain cells with varying editing efficiencies .
When using commercially available knockout cell lines like the CCDC107 CRISPR Knockout 293T Cell Line, verification of knockout should still be performed in your laboratory conditions .
While specific phenotypic changes in Ccdc107 knockout models are not explicitly detailed in the search results, researchers interested in characterizing such models should employ:
Cellular Analysis:
Growth rate and proliferation assessments
Cell morphology examination
Cell cycle analysis
Apoptosis assays
Molecular Profiling:
Transcriptome analysis (RNA-seq) to identify dysregulated pathways
Proteomics to detect changes in protein expression and interactions
Metabolomics to identify altered metabolic processes
Functional Assays:
Migration and invasion assays (particularly relevant for cancer studies)
Stress response evaluations
Differentiation capacity assessment
Based on the association between CCDC107 downregulation and colorectal cancer , researchers should pay particular attention to cancer-related phenotypes, including changes in proliferation, apoptosis resistance, and migration capabilities.
The relationship between CCDC107 and RMRP lncRNA has been studied in the context of colorectal cancer. Here's what research has revealed:
Expression Patterns: While CCDC107 is significantly down-regulated in colorectal cancer tissues (p < 0.05), RMRP expression does not show significant alteration in CRC versus normal tissues .
Diagnostic Value:
Clinical Correlations: CCDC107 downregulation is associated with:
Staging Relevance: Expression of neither gene changes significantly across different disease stages, suggesting their alterations may be early events in carcinogenesis .
Researchers investigating this relationship should employ:
Co-expression analysis to determine correlation patterns
Protein-RNA interaction studies (RIP, CLIP) to identify direct interactions
Functional studies to determine if RMRP regulates CCDC107 expression
In vivo models to validate the relationship's impact on disease progression
While the search results don't provide detailed information on Ccdc107 regulatory mechanisms, a comprehensive research approach would include:
Transcriptional Regulation:
Promoter analysis to identify transcription factor binding sites
ChIP-seq to identify proteins interacting with the Ccdc107 promoter
Epigenetic profiling (DNA methylation, histone modifications)
Post-transcriptional Regulation:
miRNA binding site analysis and validation
RNA stability assessments
Alternative splicing analysis
Post-translational Modifications:
Phosphorylation, acetylation, ubiquitination analysis
Protein half-life determination
Subcellular localization studies
The significant downregulation of CCDC107 in colorectal cancer suggests either transcriptional repression, epigenetic silencing, or post-transcriptional regulation by miRNAs or other non-coding RNAs . Understanding these mechanisms could reveal therapeutic targets for diseases where Ccdc107 expression is dysregulated.
The potential of CCDC107 as a cancer biomarker has been demonstrated in colorectal cancer research:
Diagnostic Performance:
Methodological Approach for Biomarker Validation:
Sample Collection: Paired tumor and adjacent normal tissues (as used in the study with 72 CRC cases)
Expression Analysis: RT-qPCR for quantitative assessment of expression levels
Statistical Validation: ROC curve analysis, sensitivity/specificity calculations
Clinical Correlation: Association with survival outcomes, tumor characteristics, and treatment response
Implementation Strategies:
Development of standardized RT-qPCR protocols for clinical laboratories
Creation of immunohistochemistry assays for tissue biopsies
Exploration of blood-based detection methods (if the protein is secreted or if circulating tumor cells express it)
Combinatorial Approaches:
Integration with established biomarkers for improved diagnostic accuracy
Development of multi-marker panels that include CCDC107
Correlation with imaging and other clinical parameters
Researchers should validate these findings in larger cohorts across different populations to establish the robustness of Ccdc107 as a biomarker.
While the search results don't directly address therapeutic targeting of Ccdc107, several approaches warrant investigation based on its downregulation in cancer:
Expression Restoration Strategies:
Gene therapy approaches to reintroduce functional Ccdc107
Epigenetic modifiers to reverse potential silencing mechanisms
Small molecules that can induce Ccdc107 expression
Targeting Regulatory Pathways:
Inhibition of transcriptional repressors that may downregulate Ccdc107
Anti-miRNA approaches if miRNAs are identified that target Ccdc107
Modulation of signaling pathways that regulate Ccdc107 expression
Protein Stabilization Approaches:
Small molecules that can bind to and stabilize Ccdc107 protein
Inhibitors of proteolytic pathways that may degrade Ccdc107
Combination Therapies:
Integration with standard treatments for synergistic effects
Sequential therapeutic approaches based on molecular response
While the search results provide limited information on conservation, the following methodological approach would determine conservation and functional implications:
Sequence Alignment Analysis:
Perform multiple sequence alignments of Ccdc107 protein sequences from various species
Calculate percent identity and similarity between mouse and human orthologs
Identify conserved domains and motifs across species
Phylogenetic Analysis:
Construct phylogenetic trees to understand evolutionary relationships
Determine when in evolutionary history the gene emerged
Identify species-specific adaptations in the protein sequence
Structural Conservation:
Compare predicted or determined 3D structures across species
Identify conserved structural elements that may be critical for function
Analyze conservation of protein interaction surfaces
Functional Conservation Testing:
Cross-species complementation experiments
Comparing knockout phenotypes across model organisms
Evaluation of conserved interaction partners
High conservation across species would suggest fundamental cellular functions for Ccdc107, while divergence might indicate species-specific adaptations. The known association with colorectal cancer in humans suggests at least some functional conservation in cellular processes relevant to cancer development .
Based on current knowledge and gaps identified in the search results, the following research directions warrant investigation:
Structural and Functional Characterization:
Comprehensive structural analysis using X-ray crystallography or cryo-EM
Identification of functional domains through mutagenesis studies
Determination of binding partners through proteomics approaches
Regulatory Network Mapping:
Identification of transcription factors controlling Ccdc107 expression
Characterization of non-coding RNAs regulating Ccdc107
Analysis of epigenetic mechanisms affecting gene expression
Role in Cancer Biology:
Expanded analysis across multiple cancer types
Mechanistic studies of how Ccdc107 loss contributes to tumorigenesis
Investigation of potential tumor suppressor functions
Therapeutic Development:
High-throughput screening for compounds that modulate Ccdc107 expression
Development of targeted therapies based on Ccdc107 pathways
Exploration of biomarker-guided treatment approaches
Mouse Models:
Development of tissue-specific conditional knockout models
Creation of transgenic models with fluorescent-tagged Ccdc107 for in vivo tracking
Analysis of Ccdc107 in mouse models of colorectal cancer
These research directions would address current knowledge gaps and potentially lead to clinically relevant applications in diagnostics and therapeutics.