KEGG: dya:Dyak_GE12280
STRING: 7245.FBpp0257290
Ciao1 functions as a component of the cytosolic iron-sulfur cluster assembly (CIA) complex alongside MMS19 and MIP18. It plays a crucial role in the late step of Fe/S cluster delivery to target proteins . Iron-sulfur (Fe/S) clusters are essential cofactors that facilitate numerous biological processes including DNA replication and gene regulation . In Drosophila, Ciao1 has been identified as a protein that interacts with Crumbs (Crb), Galla, and Xpd to regulate organ growth during development .
Ciao1 was initially identified as a human protein that interacts with the Wilms' tumor suppressor protein . It functions in the CIA machinery after Fe/S clusters are initially formed in the mitochondria and exported to the cytosol for further processing . Experimental evidence indicates that Ciao1 is essential for viability in yeast and is required for maturation of cytosolic and nuclear Fe/S proteins .
For successful expression and purification of recombinant Drosophila yakuba Ciao1, researchers should consider the following methodological approach:
Expression systems: E. coli BL21(DE3) with appropriate vectors for bacterial expression, or insect cell systems for more complex post-translational modifications .
Purification strategy:
Quality control:
SDS-PAGE analysis to confirm purity
Western blotting with anti-Ciao1 antibodies
Functional assays to confirm proper folding and activity
Several experimental models have been developed for Ciao1 functional studies:
Genetic models:
Tissue-specific systems:
Clonal analysis techniques:
Ciao1 exhibits multiple protein-protein interactions that are critical to its function:
Core CIA components:
Fe/S target proteins:
Other interactors:
Methodological approaches to study these interactions:
| Technique | Application | Key Controls |
|---|---|---|
| GST pull-down | Direct binding studies | GST-only control |
| Co-IP | Complex formation in cells | IgG control, reverse IP |
| Genetic interaction | In vivo functional relevance | Rescue experiments |
Based on published research, several protocols have proven effective:
Biochemical approaches:
Genetic approaches:
Functional assays:
This is a complex research question requiring sophisticated approaches:
Temporal analysis:
Inducible expression or depletion systems to monitor immediate vs. delayed effects
Time-course studies following Ciao1 manipulation
Molecular pathway dissection:
Rescue experiments with pathway components:
Research demonstrates that Ciao1 is critical for cell survival:
Detection of apoptosis in Ciao1-deficient tissues:
Molecular mechanisms linking Ciao1 to apoptosis:
Quantitative data on apoptosis following Ciao1/Xpd manipulation:
| Genotype | % Showing Increased Apoptosis | Marker Used |
|---|---|---|
| Control wing discs | 0% | Cleaved Dcp-1 |
| ptc>Ciao1 RNAi | ~64% (n=14) | Cleaved Dcp-1 |
| ptc>Xpd RNAi | ~76% (n=17) | Cleaved Dcp-1 |
Ciao1 plays a significant role in organ development:
Eye development:
Growth regulation mechanisms:
Tissue-specific effects:
Several methodological challenges exist:
Establishing causal relationships:
Temporal dynamics:
Understanding the sequence of molecular events following Ciao1 manipulation
Distinguishing primary from secondary effects
Technical approaches to address these challenges:
Epistasis analysis with precisely timed gene manipulations
Combining genetic approaches with biochemical and molecular analyses
Using tissue-specific and temporally controlled expression systems
Current computational approaches include:
Structural prediction and analysis:
Binding site characterization:
Therapeutic potential assessment:
Current genetic tools with optimization considerations include:
Gene editing approaches:
Expression systems:
GAL4-UAS system optimization for D. yakuba
Tissue-specific and inducible expression systems
Recombination-based systems for clonal analysis
Validation strategies:
Molecular confirmation (PCR, sequencing, Western blotting)
Phenotypic rescue experiments
Functional assays specific to known Ciao1 activities
Based on successful approaches in the literature:
Generation methods:
Validation approaches:
Functional validation: