KEGG: xla:379196
UniGene: Xl.29615
The Uncharacterized protein C1orf108 homolog B belongs to a class of proteins in Xenopus laevis whose functions have not yet been fully characterized. It is likely a homologous protein to the human C1orf108 (Chromosome 1 open reading frame 108). As part of the Xenopus proteome, it exists within the context of the complex X. laevis genome, which contains approximately 44,456 genes and pseudogenes, including 34,476 protein-coding genes . Like other uncharacterized proteins, its initial identification might have come from genomic or proteomic approaches that detected the open reading frame without elucidating its biological function.
Multiple expression systems can be used for recombinant Xenopus protein production, with different advantages based on research needs:
| Expression System | Benefits | Limitations | Yield Expectation |
|---|---|---|---|
| E. coli | High yield, low cost, rapid production | Limited post-translational modifications | Highest quantity |
| Yeast (S. cerevisiae/P. pastoris) | Eukaryotic processing, moderate yield | Some differences in glycosylation patterns | High to moderate |
| Insect cells | Better post-translational modifications | Higher cost, longer production time | Moderate |
| Mammalian cells | Most authentic post-translational modifications | Highest cost, complex protocols | Lower |
Verification requires a multi-faceted approach:
SDS-PAGE Analysis: Confirm the presence of a protein band at the expected molecular weight
Western Blotting: If antibodies are available (either against the protein itself or against an epitope tag)
Mass Spectrometry: For definitive identification and sequence verification
MALDI-TOF or LC-MS/MS after tryptic digestion
Coverage maps should confirm at least 70% of the expected sequence
Activity Assays: If preliminary functional information is available
Size Exclusion Chromatography: To verify proper folding and oligomeric state
When working with uncharacterized proteins, proteomics approaches similar to those used in X. laevis egg proteome studies can be particularly valuable, where more than 11,000 proteins were identified with 99% confidence .
Purification strategies should consider the following:
Expression Tag Selection:
His-tag (6x) is commonly used for IMAC purification
GST-tag may improve solubility but adds size
FLAG or HA tags for immunoprecipitation
Buffer Optimization:
Screen pH range (typically 6.5-8.5)
Test different salt concentrations (150-500 mM NaCl)
Include reducing agents (DTT or β-mercaptoethanol)
Consider stabilizing additives like glycerol (5-10%)
Chromatography Sequence:
Initial capture: IMAC or affinity chromatography
Intermediate: Ion exchange based on theoretical pI
Polishing: Size exclusion chromatography
Quality Control Metrics:
Purity: >95% by SDS-PAGE and silver staining
Homogeneity: Single peak by SEC
Stability: Consistent activity over time at 4°C
Integration of RNA-Seq and proteomics offers powerful insights into uncharacterized proteins:
Experimental Design:
Collect samples across developmental stages and tissues
Process paired samples for both RNA-Seq and MS-based proteomics
Include proper biological replicates (minimum n=3)
Data Integration Protocol:
Normalize transcript counts using established methods (FPKM/TPM)
Normalize protein abundances using label-free quantification
Calculate protein-to-mRNA ratios to identify post-transcriptional regulation
Analysis Pipeline:
Map expression patterns using X. laevis genome annotation resources
Perform co-expression analysis to identify functionally related genes
Apply pattern recognition algorithms to cluster temporal/spatial expression
The correlation between mRNA and protein abundance in X. laevis eggs has been reported as relatively low (Pearson correlation of 0.32, Spearman correlation of 0.30 in log-log space) , suggesting post-transcriptional regulation may be significant for many proteins.
Multiple complementary techniques should be employed:
Computational Prediction:
Sequence-based localization algorithms (TargetP, PSORT)
Transmembrane domain prediction (TMHMM)
Signal peptide analysis (SignalP)
Fluorescence Microscopy:
GFP/mCherry fusion protein expression in Xenopus cells
Co-localization with established organelle markers
Live cell imaging for dynamic localization studies
Biochemical Fractionation:
Differential centrifugation to separate cellular components
Western blotting of fractions with organelle markers
Protease protection assays for membrane topology
Proximity Labeling Proteomics:
BioID or APEX2 fusion proteins for neighbor identification
Mass spectrometry analysis of labeled proteins
Network analysis of interaction partners
This approach has successfully characterized other previously uncharacterized proteins like C17orf80, which was discovered to be a mitochondrial membrane-associated protein interacting with nucleoids through IF-based antibody accessibility assays .
CRISPR/Cas9 application in X. laevis requires specialized considerations:
Target Design Accommodating Allotetraploidy:
Delivery Methods:
Microinjection into fertilized eggs (two-cell stage)
Optimal concentration: 300-500 pg Cas9 mRNA and 50-200 pg sgRNA
Consider using Cas9 protein (10-20 ng) with sgRNA for faster editing
Validation Protocol:
T7E1 assay or direct sequencing of target regions
Protein expression verification by western blot
Phenotypic analysis across developmental stages
Experimental Controls:
Include scrambled sgRNA controls
Generate rescue lines with wild-type mRNA
Create point mutations rather than full knockouts for essential genes
This approach leverages X. laevis advantages that have made it a valuable model organism, including the ability to easily manipulate gene expression through microinjection of constructs into oocytes or embryos .
Resolving contradictions requires systematic troubleshooting:
Reconciliation Framework:
Document all methodological differences between studies
Identify potential context-dependent factors (developmental stage, tissue type)
Design bridging experiments with intermediate conditions
Biochemical Validation:
Verify protein-protein interactions using multiple methods (Y2H, co-IP, FRET)
Assess post-translational modifications that might differ between systems
Compare protein complexes formed in vitro versus in vivo
Functional Assays:
Develop quantitative readouts of protein activity
Test function across a range of physiological conditions
Compare recombinant protein to endogenous protein behavior
Advanced Approaches:
Xenopus oocyte microinjection for intermediate complexity environment
Organoid systems to approximate in vivo conditions
Structural studies to identify conformation differences
Many uncharacterized proteins have demonstrated different behaviors in different contexts, as observed with other Xenopus proteins whose homeologs showed different expression patterns during development and in adult tissues .
Evolutionary analysis provides critical functional insights:
Ortholog Identification Protocol:
Perform reciprocal BLAST searches across vertebrate genomes
Construct phylogenetic trees using maximum likelihood methods
Calculate selection pressure (dN/dS ratios) across protein domains
Synteny Analysis:
Examine conservation of gene order around C1orf108 homologs
Identify conserved regulatory elements across species
Map chromosomal rearrangements that might affect function
Domain Conservation Mapping:
Identify highly conserved residues using multiple sequence alignments
Map conservation scores onto predicted secondary structures
Focus functional studies on evolutionarily constrained regions
Data Integration Table:
| Species | Sequence Identity (%) | Function Known | Key Conserved Domains | Expression Pattern |
|---|---|---|---|---|
| Human | Reference | Partial | TBD | TBD |
| Mouse | ~70-80% (est.) | Partial | TBD | TBD |
| X. tropicalis | ~85-90% (est.) | No | TBD | TBD |
| Zebrafish | ~60-70% (est.) | No | TBD | TBD |
Note: Values shown are estimates based on typical conservation patterns; actual values would require sequence analysis of the specific protein.
This approach leverages the high degree of synteny between X. laevis and humans, with approximately 90% of human disease gene homologs found in X. laevis .
Systematic functional characterization requires:
Bioinformatic Prediction Pipeline:
Secondary structure prediction to identify functional motifs
Fold recognition to identify remote homologs
ab initio 3D modeling to guide functional hypotheses
Interactome Mapping:
Yeast two-hybrid screening against X. laevis cDNA libraries
Co-immunoprecipitation followed by mass spectrometry
Proximity labeling (BioID/APEX) to identify spatial neighbors
Expression Pattern Analysis:
In situ hybridization across developmental stages
Tissue-specific transcriptomics and proteomics
Stress/stimulus response profiling
Phenotypic Screening:
CRISPR/Cas9 knockout phenotyping
Overexpression studies in developing embryos
Rescue experiments with truncated/mutated constructs
This multi-faceted approach has proven successful for characterizing other uncharacterized proteins, such as various transcription factors and signaling molecules identified in Xenopus lens regeneration studies .