Recombinant Shigella sonnei Protein psiE (psiE) is a protein derived from the bacterium Shigella sonnei, a leading cause of shigellosis, particularly in industrialized countries. Shigella sonnei is a Gram-negative, non-spore-forming, nonmotile, facultative aerobic bacterium closely related to Escherichia coli (E. coli) . The psiE protein is specifically expressed in Shigella sonnei and has been studied for its potential applications in research and vaccine development.
Source and Expression: The recombinant psiE protein is typically expressed in E. coli, yeast, baculovirus, or mammalian cells . This versatility in expression systems allows for the optimization of protein production based on specific requirements.
Sequence and Structure: The psiE protein consists of 136 amino acids, with a specific sequence that defines its structure and function . The amino acid sequence is crucial for understanding its role in Shigella sonnei and potential interactions with host cells.
Storage and Handling: The recombinant protein is usually stored in a Tris-based buffer with 50% glycerol at -20°C to maintain stability. Repeated freezing and thawing should be avoided to preserve protein integrity .
| Characteristic | Description |
|---|---|
| Source | E. coli, Yeast, Baculovirus, Mammalian Cells |
| Sequence Length | 136 Amino Acids |
| Storage Conditions | -20°C, Tris-based buffer with 50% glycerol |
| Expression System | Various (e.g., E. coli) |
| Application | Description |
|---|---|
| Vaccine Development | Exploration of proteins for broad-spectrum vaccines against Shigella |
| Diagnostic Tools | Potential use in developing diagnostic assays for Shigella infections |
| Research | Study of protein structure, function, and interactions with host cells |
KEGG: ssn:SSON_4208
Shigella sonnei Protein psiE (psiE) is a bacterial protein expressed by Shigella sonnei, a Gram-negative bacterium responsible for shigellosis, a form of bacillary dysentery. The protein is of significant research interest due to its potential role in Shigella pathogenesis. Research into psiE is particularly important because Shigella has been shown to have a stronger relationship to linear growth faltering (LGF) than many other enteropathogens, with higher bacterial loads resulting in greater growth deficits . Understanding psiE's function may contribute to developing more effective prevention strategies against Shigella infections, which are commonly detected in toddlers and young children but can cause more severe disease in infants .
Recombinant Shigella sonnei Protein psiE is characterized by:
Amino Acid Sequence: MTSLSRPRVEFISTILQTVLNLGLLCLGLILVVFLGKETVHLADVLFAPEQTSKYELVEGLIVYFLYFEFIALIVKYFQSGFHFPLRYFVYIGITAIVRLIIVDHKSPLDVLIYSAAILLVITLWLCNSKRLKRE
Structural Features: Contains hydrophobic regions suggesting membrane association
Researchers analyzing the sequence should note the presence of transmembrane domains and potential epitope regions that may be important for immunological studies.
For optimal research outcomes, recombinant psiE requires specific storage and handling protocols:
Long-term Storage: Store at -20°C or -80°C for extended preservation
Working Conditions: Maintain working aliquots at 4°C for up to one week
Buffer Composition: Typically stored in Tris-based buffer with 50% glycerol optimized for protein stability
Freeze-Thaw Cycles: Repeated freezing and thawing is not recommended as it may lead to protein degradation or loss of activity
Researchers should validate protein integrity after storage using appropriate analytical methods such as SDS-PAGE or Western blotting before experimental use.
Several experimental systems can be employed to study psiE function:
| Experimental System | Application | Advantages | Limitations |
|---|---|---|---|
| In vitro cell culture | Host-pathogen interactions | Controlled environment, easier manipulation | May not fully recapitulate in vivo conditions |
| BALB/c mice models | Immunological studies | Well-established immune response model | Species differences from human responses |
| Bioinformatic analysis | Structural predictions, epitope mapping | Non-invasive, hypothesis generating | Requires experimental validation |
| ELISA-based assays | Protein-protein interactions, antibody binding | Quantitative, high sensitivity | Limited to interactions that can be detected by available antibodies |
Animal models, particularly BALB/c mice, have been successfully used for immunization studies against Shigella sonnei using multiepitope protein vaccine constructs .
Verification of recombinant psiE identity and purity should involve multiple complementary approaches:
Mass Spectrometry: For accurate molecular weight determination and sequence verification
SDS-PAGE: To assess purity and approximate molecular weight
Western Blotting: Using specific antibodies to confirm protein identity
N-terminal Sequencing: To verify the first 5-10 amino acids match the expected sequence
Functional Assays: To confirm biological activity is consistent with predicted function
Researchers should establish acceptance criteria for purity (typically >90%) and identity confirmation before proceeding with experimental work.
Contradictory findings in psiE research can be methodically addressed through:
Systematic Review Approach: Compile all available data on psiE using standardized inclusion criteria
Statistical Meta-analysis: When sufficient quantitative data is available
Contradiction Detection Methodologies: Apply clinical contradiction detection approaches as demonstrated in medical literature analysis
Context-Dependent Analysis: Examine experimental conditions, strains, and methodologies that might explain divergent results
Replication Studies: Design experiments specifically to test contradictory findings under identical conditions
Recent advances in clinical contradiction detection using distant supervision approaches and deep learning models can be particularly useful for analyzing conflicting statements in medical literature about psiE function . This approach leverages medical ontologies to build potential clinical contradictions over millions of medical abstracts and can help researchers systematically evaluate contradictory claims.
For investigating psiE's role in environmental enteric dysfunction:
Case-Control Studies: Compare psiE expression or antibody responses in subjects with and without EED
Longitudinal Cohort Studies: Monitor psiE presence/abundance over time in relation to EED biomarkers
Integrated Multi-omics Approach: Combine proteomics, transcriptomics, and metabolomics to understand psiE's role in EED pathogenesis
Biomarker Correlation Analysis: Analyze relationships between psiE detection and established EED biomarkers
Intestinal Organoid Models: To study psiE effects on epithelial barrier function in controlled systems
Research has shown that Shigella often has a stronger relationship to linear growth faltering than other enteropathogens, with asymptomatic cases also potentially contributing to stunting . Investigators studying psiE should consider these findings when designing experiments to explore its potential contribution to EED mechanisms.
Effective bioinformatic approaches for psiE epitope prediction include:
Sequence-Based Prediction: Algorithms that analyze primary sequence for potential B-cell and T-cell epitopes
Structural Epitope Mapping: Based on 3D protein structure predictions
Conservation Analysis: Identifying conserved regions across Shigella strains
Immunogenicity Prediction: Algorithms estimating epitope binding to MHC molecules
Epitope Cluster Analysis: Identifying regions with multiple overlapping epitopes
Recent research has employed bioinformatic approaches to design multiepitope protein vaccines (MEPV) against Shigella species by identifying highly immunogenic epitopes . This methodology can be applied specifically to psiE to identify promising epitopes for vaccine development.
Optimization of expression systems for functional psiE requires:
Vector Selection: Choosing appropriate expression vectors (e.g., pET-14b has been used for Shigella vaccine constructs)
Codon Optimization: Adapting codons for the expression host (e.g., E. coli optimization)
Expression Host Selection: Evaluating different strains for optimal expression
Induction Conditions: Optimizing temperature, inducer concentration, and duration
Purification Strategy Development: Based on protein characteristics
| Optimization Parameter | Variables to Test | Potential Impact |
|---|---|---|
| Induction temperature | 16°C, 25°C, 37°C | Folding efficiency, solubility |
| IPTG concentration | 0.1-1.0 mM | Expression level, toxicity |
| Expression duration | 3h, 6h, overnight | Yield vs. degradation |
| Cell lysis method | Sonication, chemical, enzymatic | Protein integrity |
| Purification tags | His-tag, GST, MBP | Solubility, purification efficiency |
Researchers should conduct small-scale optimization experiments before scaling up production.
Promising approaches for incorporating psiE in vaccine development include:
Multiepitope Vaccine Constructs: Combining immunogenic epitopes from psiE with other Shigella antigens
Adjuvant Formulation: Testing different adjuvants to enhance immune response to psiE
Delivery System Development: Evaluating various delivery platforms (liposomes, nanoparticles, viral vectors)
Prime-Boost Strategies: Combining different vaccine types in sequential administration
Mucosal Immunity Targeting: Developing formulations that induce strong mucosal immune responses
Research with BALB/c mice has shown promise for immunization against Shigella sonnei using multiepitope protein vaccine constructs composed of highly immunogenic epitopes from Shigella pathogenic species . These approaches could be adapted specifically for psiE-based vaccine components.
To assess psiE's role in pathogenesis, researchers should consider:
Gene Knockout Studies: Creating psiE-deficient mutants to observe virulence changes
Complementation Assays: Restoring psiE function in mutants to confirm phenotype
In Vivo Infection Models: Using animal models to assess virulence differences
Transcriptional Analysis: Examining psiE expression patterns during infection
Host Response Evaluation: Analyzing immune responses to wild-type vs. psiE-deficient strains
Understanding psiE's contribution to pathogenesis is critical as Shigella infections are associated with significant health impacts, including linear growth faltering in children .
Advanced techniques for studying psiE interactions include:
Co-immunoprecipitation (Co-IP): For identifying protein complexes containing psiE
Yeast Two-Hybrid (Y2H): For screening potential interaction partners
Surface Plasmon Resonance (SPR): For quantifying binding kinetics
Proximity Ligation Assay (PLA): For visualizing interactions in situ
Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS): For mapping interaction interfaces
Cryo-Electron Microscopy: For structural analysis of psiE complexes
These techniques can help elucidate psiE's functional interactions with both bacterial and host proteins, providing insights into its role in Shigella pathogenesis.