DCAKD is encoded by the dcakd gene located on chromosome 17 in Xenopus tropicalis (GenBank: NC_000017.11) . Key features include:
Domain architecture: Contains a conserved dephospho-CoA kinase domain responsible for ATP-dependent phosphorylation .
Enzymatic activity: Enables dephospho-CoA kinase activity, essential for the final step of CoA synthesis .
Subcellular localization: Predicted to localize to cellular membranes based on sequence motifs .
| Host System | Tag | Purity | Applications | Catalog No. |
|---|---|---|---|---|
| Yeast (S. cerevisiae) | His tag | >90% | ELISA, enzymatic assays | ABIN1511722 |
| Wheat germ | None | >80% | Western blot, activity assays | ABIN1351175 |
Recombinant DCAKD is primarily utilized to study:
CoA biosynthesis: Mechanistic insights into ATP-dependent phosphorylation kinetics .
Evolutionary conservation: Comparative studies with human (NP_079115.2) and zebrafish (NP_001073611.1) orthologs .
Protein interaction networks: Screening for binding partners using affinity purification .
Key unanswered questions include:
Structural dynamics: High-resolution crystallography to map active-site residues.
Regulatory mechanisms: Role of phosphorylation or membrane localization in enzymatic activity.
Q: How can I design experiments to study the function of recombinant Xenopus tropicalis Dephospho-CoA kinase domain-containing protein (dcakd) in cellular metabolism? A: To study the function of dcakd, you can use a combination of biochemical assays and cellular models. First, express dcakd in a suitable host system (e.g., yeast or mammalian cells) and purify it for in vitro assays. Use techniques like enzyme kinetics to assess its activity on CoA derivatives. In cellular models, employ RNA interference or CRISPR-Cas9 to knockdown or knockout dcakd and observe metabolic changes using techniques like metabolomics or flux analysis.
Q: How do I resolve contradictions in data when comparing the metabolic effects of dcakd in different cell types or experimental conditions? A: Contradictions in data can arise from differences in experimental conditions, cell types, or analytical methods. To resolve these, perform a meta-analysis of your data, considering factors like cell culture conditions, expression levels of dcakd, and the specific metabolic pathways being analyzed. Use statistical methods to account for variability and identify significant trends. Additionally, validate findings using orthogonal assays to ensure consistency across different experimental setups.
Q: What advanced biochemical techniques can I use to elucidate the mechanistic role of dcakd in CoA metabolism? A: To gain mechanistic insights into dcakd's role, employ advanced biochemical techniques such as:
NMR Spectroscopy: To study the binding interactions between dcakd and its substrates.
Mass Spectrometry: For detailed analysis of metabolic intermediates and products.
Protein Crystallography: To determine the structural basis of dcakd's enzymatic activity.
Q: How can I optimize the expression and purification of recombinant dcakd for structural studies? A: For optimal expression and purification of dcakd, consider the following strategies:
Expression System: Use a system like yeast or E. coli that allows for high-level expression. Optimize growth conditions and induction times to maximize soluble protein yield.
Purification Methods: Employ affinity chromatography followed by size exclusion chromatography to achieve high purity.
Stabilization: Add stabilizing agents like glycerol to prevent protein degradation during storage.
Q: How can studies on dcakd contribute to understanding metabolic diseases in humans? A: Research on dcakd can provide insights into CoA metabolism, which is crucial for energy production and lipid synthesis. Dysregulation in CoA pathways is linked to metabolic disorders like diabetes and obesity. By understanding how dcakd influences these pathways, researchers can identify potential therapeutic targets for treating metabolic diseases.
Q: What genetic manipulation techniques can be used to study dcakd's role in Xenopus tropicalis development? A: To study dcakd's role in Xenopus tropicalis, use techniques like CRISPR-Cas9 for gene editing, and transgenic approaches to overexpress or knockdown dcakd. Additionally, methods like gynogenesis can facilitate genetic screens to identify phenotypes associated with dcakd mutations.
Q: What bioinformatics tools can I use to analyze the sequence and structure of dcakd? A: For sequence and structural analysis of dcakd, utilize tools like:
BLAST: For sequence similarity searches.
Phyre2 or Swiss-Model: For protein structure prediction.
InterPro: To identify functional domains within the protein.
Q: How can interdisciplinary collaboration enhance research on dcakd? A: Collaboration between biochemists, cell biologists, and structural biologists can enhance research on dcakd by integrating diverse methodologies and expertise. For example, combining biochemical assays with structural biology techniques can provide a comprehensive understanding of dcakd's function and regulation.
Q: What are common challenges in expressing recombinant dcakd, and how can they be addressed? A: Common challenges include low expression levels, protein misfolding, and instability. These can be addressed by optimizing expression conditions (e.g., temperature, induction time), using chaperone co-expression systems to improve folding, and adding stabilizing agents during purification.
Q: What are potential future directions for research on dcakd? A: Future research could focus on:
Metabolic Pathway Integration: Studying how dcakd interacts with other metabolic pathways.
Therapeutic Applications: Exploring dcakd as a target for metabolic disorders.
Evolutionary Conservation: Investigating the conservation of dcakd function across different species.
| Expression Conditions | Protein Yield (mg/L) | Purity (%) |
|---|---|---|
| 25°C, 4h induction | 120 | 85 |
| 20°C, 6h induction | 150 | 90 |
| 30°C, 2h induction | 80 | 80 |
Structural studies on dcakd can reveal key insights into its enzymatic mechanism. For instance, crystallographic analysis can identify substrate binding sites and conformational changes during catalysis. These findings can inform the design of inhibitors or activators for therapeutic applications.