KEGG: yen:YE2218
STRING: 393305.YE2218
For recombinant production of YE2218, E. coli-based expression systems have proven successful. The commercial recombinant protein utilizes an N-terminal His-tag fusion approach in E. coli, suggesting this is a viable expression strategy . For research purposes, the following protocol is recommended:
Clone the full-length YE2218 gene (including nucleotides coding for amino acids 1-255) into an expression vector containing an N-terminal His-tag
Transform into an E. coli strain optimized for membrane protein expression (e.g., C41(DE3) or C43(DE3))
Induce expression at lower temperatures (16-20°C) to minimize inclusion body formation
Use a Tris/PBS-based buffer system with 6% trehalose at pH 8.0 for protein extraction and storage
This approach has yielded recombinant YE2218 with greater than 90% purity as determined by SDS-PAGE .
Recombinant YE2218 protein stability is maintained under the following conditions:
| Parameter | Recommended Condition | Notes |
|---|---|---|
| Storage Temperature | -20°C to -80°C | Aliquoting is necessary for multiple use |
| Storage Buffer | Tris/PBS-based buffer with 6% Trehalose, pH 8.0 | Maintains protein stability |
| Reconstitution | Deionized sterile water (0.1-1.0 mg/mL) | Brief centrifugation before opening is recommended |
| Long-term Storage | Add glycerol to 5-50% (final concentration) | 50% glycerol is standard for commercial preparations |
| Working Aliquots | Store at 4°C | Viable for up to one week |
| Avoid | Repeated freeze-thaw cycles | Leads to protein degradation |
Following these handling protocols ensures maximum stability and activity of the recombinant protein .
While direct evidence for YE2218's role in pathogenicity is limited, several contextual factors suggest potential involvement:
Y. enterocolitica serotype O:8 / biotype 1B is classified as highly pathogenic, suggesting membrane proteins like YE2218 may contribute to this virulence phenotype
Membrane proteins in pathogenic bacteria often facilitate host-pathogen interactions, environmental sensing, or antimicrobial resistance
The protein's conservation across pathogenic strains but not necessarily in non-pathogenic strains may indicate a virulence-associated function
Research into other membrane proteins in Y. enterocolitica has shown their importance in invasion, adherence, and resistance to host defense mechanisms . To definitively establish YE2218's role in pathogenicity, gene knockout studies followed by virulence assessment in mouse models would be necessary, similar to approaches used for other Yersinia virulence factors .
Many virulence-associated genes in Y. enterocolitica are temperature-regulated, with expression increasing at 37°C (host temperature) compared to environmental temperatures
Type III secretion system regulators like YscM1 and YscM2 in Y. enterocolitica control expression of multiple virulence factors
Environmental factors such as iron limitation, pH changes, and osmolarity can influence expression of membrane proteins in pathogenic bacteria
To investigate YE2218 regulation specifically, researchers should consider:
qRT-PCR studies under various environmental conditions
Reporter gene fusions to monitor expression in vivo
Proteomic analysis comparing expression levels during various growth phases and infection states
Membrane proteins represent potential targets for vaccine development. For YE2218 specifically:
Researchers could follow similar approaches to those used for other Yersinia membrane proteins, such as the bivalent fusion protein rVE (comprising regions of LcrV and YopE), which demonstrated effective protection against Y. enterocolitica challenge in mouse models
YE2218 could be evaluated as a component in a multi-subunit vaccine by:
The approach should evaluate both humoral and cell-mediated immune responses, as comprehensive protection against Yersinia requires both components .
To investigate interactions between YE2218 and host cell receptors, consider these methodologies:
Pull-down assays
Use purified His-tagged YE2218 as bait with host cell lysates
Identify binding partners through mass spectrometry
Surface Plasmon Resonance (SPR)
Immobilize YE2218 on sensor chips
Measure binding kinetics with potential host cell receptors
Yeast Two-Hybrid Screening
Modified for membrane proteins using split-ubiquitin systems
Screen against human cDNA libraries from relevant tissues (intestinal epithelial cells)
Infection Models with YE2218 Mutants
These approaches would help elucidate YE2218's potential role in host-pathogen interactions.
Membrane proteins like YE2218 present several challenges for structural studies:
When working with YE2218, researchers should particularly focus on detergent selection during solubilization and maintaining protein stability during concentration steps.
To distinguish between potential YE2218 isoforms or post-translationally modified forms:
Western Blotting with Specific Antibodies
Develop antibodies against distinct regions of YE2218
Use phospho-specific antibodies if phosphorylation is suspected
Mass Spectrometry-Based Approaches
Tryptic digestion followed by LC-MS/MS
Analysis of intact protein mass for different isoforms
Fragment analysis for identification of modification sites
2D Gel Electrophoresis
Separate proteins based on both pI and molecular weight
Identify shifts indicating post-translational modifications
Pulse-Chase Experiments
Track protein processing and modification over time
Use radioactive labeling or click chemistry approaches
These techniques can help researchers characterize the different forms of YE2218 that may exist in native versus recombinant systems.
Recent research has identified multidrug resistance in clinical isolates of Y. enterocolitica . While YE2218's specific role in antimicrobial resistance has not been established, membrane proteins often contribute to resistance mechanisms through:
Efflux pump functions
Alteration of membrane permeability
Modification of drug targets
Cell wall/membrane remodeling
Investigation strategies could include:
Comparing YE2218 sequence variations between susceptible and resistant strains
Examining YE2218 expression levels in response to antibiotic exposure
Creating YE2218 knockouts to assess changes in minimum inhibitory concentrations (MICs)
The emergence of multidrug-resistant Y. enterocolitica strains makes this research direction particularly relevant.
For comprehensive bioinformatic analysis of YE2218:
Sequence-Based Analysis
Multiple sequence alignment with homologs across bacterial species
Identification of conserved domains using Pfam, SMART, or InterPro
Transmembrane topology prediction (TMHMM, Phobius)
Signal peptide prediction (SignalP)
Structural Prediction
Secondary structure prediction (PSIPRED)
Tertiary structure modeling (AlphaFold2, RoseTTAFold)
Analysis of predicted binding pockets and functional sites
Genomic Context Analysis
Integration with Experimental Data
Map experimental findings (mutagenesis, binding studies) onto predicted structures
Develop testable hypotheses about function based on integrated analysis
These approaches can help identify potential functional domains within YE2218 and guide experimental investigations.
CRISPR-Cas9 technologies offer powerful approaches for investigating YE2218 function:
Gene Knockout Studies
Create precise YE2218 deletions
Assess effects on growth, membrane integrity, and virulence
Study phenotypic changes under various stress conditions
Gene Tagging Approaches
Insert fluorescent protein tags for localization studies
Add affinity tags for in vivo interaction studies
Create conditional expression systems
Base Editing Applications
Introduce point mutations to study specific amino acid functions
Create libraries of YE2218 variants for functional screening
Modify potential regulatory regions to study expression control
CRISPRi Approaches
Implement inducible knockdown of YE2218 expression
Study dosage effects on bacterial physiology and pathogenicity
Use as complementary approach to complete knockout studies
Each approach would need to be optimized for Y. enterocolitica, as CRISPR efficiency can vary between bacterial species.
To understand YE2218 evolution across Yersinia species, researchers should consider:
Pan-genome Analysis
Compare presence/absence of YE2218 homologs across all sequenced Yersinia strains
Identify correlation between YE2218 presence and pathogenicity
Positive Selection Analysis
Calculate dN/dS ratios to identify positions under positive selection
Map selected sites onto structural models to infer functional importance
Genomic Island Analysis
Phylogenetic Profiling
These approaches could reveal evolutionary patterns and functional constraints on YE2218, potentially linking its evolution to changes in Yersinia pathogenicity.