The Recombinant Danio rerio Uncharacterized protein C18orf19 homolog A (si:ch211-105d11.2), also known as fam210aa, is a protein derived from zebrafish (Danio rerio). It belongs to the family with sequence similarity 210, member Aa. This protein is of interest due to its potential roles in developmental biology and its homology to human proteins, particularly those related to the C18orf19 gene.
Gene Symbol: fam210aa
Entrez Gene ID: 562734
Full Name: family with sequence similarity 210, member Aa
Synonyms: fi06g08, si:ch211-105d11.2, wu:fi06g08
Gene Type: protein-coding
While specific functions of fam210aa are not well-documented, its expression in zebrafish suggests roles in early development or cellular processes. Zebrafish are commonly used as a model organism for studying developmental biology due to their rapid growth and transparent embryos, which allow for easy observation of developmental stages.
Recombinant proteins like fam210aa are produced using various expression systems such as E. coli, yeast, or mammalian cells. These proteins are useful for research purposes, including studying protein function, interactions, and potential therapeutic applications.
| Gene Information | Description |
|---|---|
| Gene Symbol | fam210aa |
| Entrez Gene ID | 562734 |
| Full Name | family with sequence similarity 210, member Aa |
| Synonyms | fi06g08, si:ch211-105d11.2, wu:fi06g08 |
| Gene Type | protein-coding |
| Organism | Danio rerio (zebrafish) |
| Expression System | Description |
|---|---|
| E. coli | Bacterial system commonly used for high-yield protein production. |
| Yeast | Eukaryotic system suitable for proteins requiring post-translational modifications. |
| Mammalian Cells | Used for complex proteins requiring specific modifications and folding. |
KEGG: dre:562734
UniGene: Dr.78479
Danio rerio Uncharacterized protein C18orf19 homolog A (si:ch211-105d11.2) belongs to a family of proteins whose functions have not yet been fully characterized. It shares sequence similarity with its homolog B (zgc:113036), but they have distinct encoding genes and potentially different functional roles. While homolog B has been better studied with a known amino acid sequence of 280 residues, homolog A requires further characterization . The distinction between these homologs likely reflects evolutionary divergence and potentially specialized functions within zebrafish development and physiology.
For optimal reconstitution of lyophilized C18orf19 protein preparations:
Briefly centrifuge the vial to collect the powder at the bottom
Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% (50% is standard) to prevent freeze-thaw damage
Aliquot into smaller volumes to minimize freeze-thaw cycles
Store reconstituted protein at -20°C/-80°C for long-term storage
This protocol parallels the established reconstitution methods used for homolog B and similar zebrafish recombinant proteins .
Recombinant Danio rerio C18orf19 homolog proteins are typically expressed using prokaryotic expression systems, predominantly E. coli. This approach allows for high-yield production of the target protein with an N-terminal His-tag for purification purposes . The bacterial expression system is preferred over eukaryotic alternatives for these proteins due to:
Higher protein yield
Established purification protocols
Cost-effectiveness for research applications
Ability to produce full-length protein with functional domains intact
For specialized applications requiring post-translational modifications, alternative expression systems might be considered, though this would require protocol optimization.
Cryo-electron tomography (cryo-ET) represents a powerful approach to investigate potential roles of C18orf19 homolog proteins in axonemal structures, based on methodologies established for PIH protein analysis in zebrafish:
Sample preparation:
Isolate sperm flagella or other ciliated tissues from wild-type and C18orf19 knockout zebrafish
Vitrify samples on EM grids using rapid freezing to preserve native structure
Data collection and analysis:
Collect tilt series (typically ±60° range) under low-dose conditions
Perform tomographic reconstruction to generate 3D volumes
Apply subtomographic averaging using the 96 nm axonemal repeat unit
Compare averaged structures from wild-type and mutant samples to identify specific structural defects
Resolution considerations:
Achieve 3-4 nm resolution for visualizing large complexes
Correlate structural findings with motility phenotypes
This approach has successfully revealed the roles of PIH proteins in axonemal dynein assembly in zebrafish and may similarly illuminate structural functions of C18orf19 homologs.
Based on successful approaches with similar zebrafish proteins, the following genome editing strategies are recommended for generating C18orf19 homolog A knockout models:
| Editing Method | Target Design | Advantages | Limitations |
|---|---|---|---|
| CRISPR/Cas9 | Target early exons to disrupt reading frame | Higher editing efficiency; Multiple target sites possible | Potential off-target effects |
| TALEN | Target 15-20 bp sequences with appropriate spacing | Higher specificity; Reduced off-target effects | More complex design and assembly |
| Morpholinos | Target splice junctions or start codon | Rapid screening; Dose-dependent knockdown | Temporary effects; Possible toxicity |
For C18orf19 homolog A specifically:
Design guide RNAs targeting conserved domains
Validate editing efficiency using T7 endonuclease assay or sequencing
Screen F0 founders for germline transmission
Confirm protein loss using specific antibodies in immunoblot analysis
Validate phenotypes in homozygous F2 offspring
This strategy parallels successful approaches used for PIH protein studies in zebrafish, where complete protein knockout was confirmed by immunoblot analysis .
To comprehensively characterize molecular interactions of C18orf19 homolog A:
Immunoprecipitation (IP) followed by mass spectrometry:
Use anti-tag antibodies (for recombinant protein) or custom antibodies
Perform IP under native conditions to preserve protein complexes
Analyze by LC-MS/MS with at least 3 biological replicates
Apply statistical thresholds (p<0.05) to identify significant interactions
Yeast two-hybrid screening:
Construct bait plasmids containing full-length and domain-specific fragments
Screen against zebrafish embryonic or tissue-specific cDNA libraries
Validate interactions using co-IP or proximity ligation assays
Proximity labeling approaches:
Generate BioID or APEX2 fusion constructs
Express in zebrafish embryos or relevant cell lines
Identify biotinylated proteins by streptavidin pulldown and MS analysis
In silico predictions:
Compare with interaction networks of homologous proteins
Analyze domain conservation for potential functional partners
These methods should be integrated with rigorous statistical analysis, as employed in zebrafish proteome studies, which achieved false identification rates below 1% .
For maximum stability and activity retention of recombinant C18orf19 homolog proteins:
| Storage State | Temperature | Buffer Composition | Duration | Notes |
|---|---|---|---|---|
| Lyophilized | -20°C/-80°C | N/A | 1-2 years | Most stable form |
| Reconstituted | -80°C | Tris/PBS with 50% glycerol, pH 8.0 | 6-12 months | Store in single-use aliquots |
| Working stock | 4°C | Tris/PBS, pH 8.0 | 1 week | Limited stability |
Critical considerations:
Avoid repeated freeze-thaw cycles, which significantly reduce protein activity
Include cryoprotectants (preferably 50% glycerol) in storage buffer
Monitor protein stability using activity assays or structural analysis after extended storage
For specific applications, addition of reducing agents or protease inhibitors may be necessary
Properly stored recombinant protein maintains >90% of its initial activity, as determined by functional assays.
When analyzing developmental expression patterns of C18orf19 homologs:
Temporal expression analysis:
Collect embryos at defined developmental stages (hours post-fertilization)
Extract RNA for qRT-PCR analysis with gene-specific primers
Process protein samples for immunoblotting or mass spectrometry
Use developmental markers as references for stage validation
Spatial expression analysis:
Perform whole-mount in situ hybridization with specific probes
Design probes that distinguish between homolog A and B
Include positive controls for tissue-specific expression
Document expression patterns with high-resolution imaging
Comparative analysis:
Quantitative proteomics:
These approaches should be integrated with statistical analysis to ensure reproducibility and significance of the observed expression patterns.
For definitive subcellular localization analysis of C18orf19 homolog proteins:
Immunofluorescence microscopy:
Fixation: 4% paraformaldehyde (10-15 minutes at room temperature)
Permeabilization: 0.1-0.5% Triton X-100
Blocking: 5% BSA or normal serum
Primary antibody: Anti-C18orf19 or anti-tag antibody (1:100-1:500 dilution)
Secondary antibody: Fluorophore-conjugated (1:500-1:1000)
Co-staining with organelle markers (nucleus, cytoplasm, etc.)
Analysis by confocal microscopy with Z-stack acquisition
Subcellular fractionation:
Live imaging with fluorescent fusion proteins:
Generate C-terminal or N-terminal GFP/mCherry fusions
Express in zebrafish embryos by mRNA injection
Monitor localization during development
Document dynamics using time-lapse microscopy
These complementary approaches provide comprehensive data on protein localization, similar to methodology used for PIH protein studies in zebrafish sperm, which demonstrated cytoplasmic rather than flagellar localization .
When confronting discrepancies between in vitro and in vivo results:
Systematic analysis of potential variables:
Protein conformation: Recombinant proteins may lack proper folding or post-translational modifications
Interaction partners: In vivo environments provide physiological binding partners that may be absent in vitro
Cellular context: Compartmentalization and local concentration gradients affect function
Developmental timing: Function may be stage-specific with regulatory constraints
Reconciliation strategies:
Perform domain-specific functional testing
Use cell-free extracts that maintain physiological complexity
Conduct rescue experiments with wild-type and mutant constructs
Employ proximity labeling to identify in vivo interaction partners
Interpretation framework:
Prioritize in vivo findings for physiological relevance
Use in vitro data to define biochemical mechanisms
Integrate findings across multiple model systems
Consider evolutionary conservation as context for functional importance
This approach parallels successful strategies used in resolving functional aspects of PIH proteins, where biochemical assays were complemented with in vivo phenotypic analysis .
For robust proteomics data analysis in C18orf19 homolog studies:
Experimental design considerations:
Minimum of 3-4 biological replicates per condition
Include technical replicates for mass spectrometry runs
Incorporate appropriate controls (wild-type, related protein homologs)
Data processing pipeline:
Apply empirical Bayesian algorithms to integrate data from multiple search programs
Implement rigorous false discovery rate (FDR) control (<1%)
Use multiple peptide identification criteria for protein verification
Apply normalization methods appropriate for the experimental design
Statistical testing:
For differential expression: Limma or mixed-effects models
For interaction networks: Significance Analysis of INTeractome (SAINT)
For pathway enrichment: Gene Ontology or KEGG analysis with multiple testing correction
For integration with transcriptomics: Correlation analysis with appropriate transformations
Visualization approaches:
Volcano plots for differential expression
Heatmaps for expression patterns across conditions
Interaction networks for protein complexes
Principal component analysis for sample relationships
This statistical framework is aligned with approaches used in zebrafish proteome studies, which successfully integrated data from multiple search programs using Bayesian algorithms .
To distinguish specific from non-specific effects in morpholino experiments:
Essential controls:
Standard control morpholino (same dose as experimental)
p53 co-injection to control for off-target apoptosis
Dose-response series to identify specific concentration range
Rescue experiments with morpholino-resistant mRNA constructs
Validation approaches:
Confirm knockdown efficiency by RT-PCR (for splice-blocking morpholinos)
Verify protein reduction by Western blot
Create stable genetic mutants (CRISPR/TALEN) to compare phenotypes
Test multiple non-overlapping morpholinos targeting the same gene
Phenotypic analysis:
Define clear, quantifiable phenotypic metrics
Blind scoring by multiple observers
Statistical comparison between control and experimental groups
Documentation of complete phenotypic spectrum
Documentation criteria:
Report complete methods including morpholino sequence, concentration, and injection volume
Present negative control data alongside experimental results
Document rescue efficiency quantitatively
Acknowledge limitations in result interpretation
These guidelines align with zebrafish research community standards and approaches used in PIH protein studies, where stable genetic mutants provided definitive phenotypic data compared to transient knockdown approaches .
Several cutting-edge technologies show significant potential for advancing C18orf19 homolog research:
Single-cell proteomics:
Application: Detect cell-type specific expression patterns
Advantages: Reveals cellular heterogeneity masked in bulk analysis
Methodological approach: Mass cytometry or microfluidic-based single-cell proteomics
Expected insights: Cell-specific functions and regulation patterns
Proximity-dependent biotinylation (BioID/TurboID):
Application: Map protein interaction networks in vivo
Advantages: Captures transient interactions in native cellular environment
Methodological approach: Express biotin ligase-C18orf19 fusion in zebrafish
Expected insights: Identification of physiological interaction partners
Cryo-electron microscopy:
Application: Determine high-resolution protein structure
Advantages: Visualize native conformation without crystallization
Methodological approach: Purify protein complexes for single-particle analysis
Expected insights: Structure-function relationships at near-atomic resolution
Optical control of protein function:
Application: Spatiotemporal manipulation of protein activity
Advantages: Precise control in specific tissues or developmental stages
Methodological approach: Optogenetic or photo-caged protein variants
Expected insights: Acute functional requirements in different contexts
These technologies build upon approaches that have been successfully applied to study related proteins in zebrafish, such as cryo-electron tomography for axonemal structure analysis .
A comprehensive comparative analysis framework should include:
Sequence comparison analysis:
Multiple sequence alignment of C18orf19 homologs across vertebrate and invertebrate species
Identification of conserved domains and motifs
Calculation of selection pressure (dN/dS ratios) across protein regions
Phylogenetic reconstruction to determine evolutionary relationships
Expression pattern comparison:
Analysis of tissue-specific expression across model organisms
Developmental timing of expression in different species
Regulatory element conservation in promoter regions
Correlation with appearance of specific anatomical structures
Functional conservation testing:
Cross-species rescue experiments in zebrafish mutants
Domain swap experiments to test functional equivalence
Interaction partner conservation across species
Phenotypic comparison of loss-of-function models
Structural analysis:
Prediction of structural conservation across homologs
Identification of conserved interaction interfaces
Mapping of disease-associated variants to conserved regions
This comparative approach parallels methods used to establish evolutionary relationships between dynein axonemal heavy chain genes across species, revealing functional conservation despite sequence divergence .