Recombinant Vibrio vulnificus 33 kDa chaperonin (hslO)
This redox-regulated molecular chaperone protects proteins from irreversible aggregation caused by thermal unfolding or oxidative damage. It plays a crucial role in bacterial defense mechanisms against oxidative stress.
KEGG: vvy:VV0208
While the exact sequence of V. vulnificus hslO is not provided in the search results, we can draw insights from the related Clostridium botulinum 33 kDa chaperonin. The C. botulinum chaperonin (hslO) is a full-length protein consisting of 296 amino acids . The sequence alignment between V. vulnificus and C. botulinum hslO would likely reveal conserved functional domains essential for chaperone activity.
Researchers should:
Perform comparative sequence analysis with other bacterial hslO proteins
Analyze the protein for conserved domains typical of the HSP33 family
Conduct structure prediction using tools like AlphaFold or homology modeling
Examine the sequence for redox-sensitive motifs that might regulate activity
Based on research with other V. vulnificus virulence factors, expression of stress response proteins is likely regulated by environmental conditions. The stress sigma factor RpoS has been shown to regulate gene expression during host interactions in V. vulnificus . To study hslO expression:
Design real-time PCR (qPCR) primers specific to the hslO gene
Normalize expression to a housekeeping gene like recA (as used in V. vulnificus studies)
Test expression under various conditions:
The protocol should follow established qPCR methodology as demonstrated in V. vulnificus research, where researchers measured expression of virulence genes using the ΔΔCt method .
When conducting experiments with recombinant V. vulnificus 33 kDa chaperonin, the following controls are critical:
Expression controls:
Empty vector control to assess background
Known chaperonin (e.g., E. coli DnaK or GroEL) as positive control
Inactive mutant (e.g., cysteine-to-alanine substitution) for activity studies
Purification controls:
Activity assays:
Heat-denatured hslO as negative control
Substrate-only and chaperone-only controls
ATP-depleted conditions to assess ATP-dependence
Storage stability:
Based on protocols used for similar bacterial chaperonins, researchers should consider:
Expression systems comparison:
Expression parameters:
Induction conditions (temperature, inducer concentration)
Cell lysis methods (sonication vs. chemical lysis)
Codon optimization for expression host
Tag selection:
His-tag for IMAC purification
GST or MBP for improved solubility
TEV or other protease cleavage sites for tag removal
The expression system should be selected based on downstream applications and required protein quality .
A multi-step purification approach is recommended for obtaining high-purity, functional V. vulnificus 33 kDa chaperonin:
Initial capture:
Affinity chromatography (Ni-NTA for His-tagged protein)
Buffer composition: 50 mM phosphate buffer, pH 7.4, 300 mM NaCl, 10-20 mM imidazole
Intermediate purification:
Ion exchange chromatography based on theoretical pI
Size exclusion chromatography to remove aggregates
Quality assessment:
Activity preservation:
Storage recommendations:
When encountering expression or solubility issues:
Expression troubleshooting:
Optimize codon usage for expression host
Test different promoter strengths
Vary induction parameters (temperature, inducer concentration, time)
Try autoinduction media
Solubility enhancement strategies:
Reduce expression temperature (16-20°C)
Co-express with chaperones (GroEL/ES, DnaK/J/GrpE)
Try solubility-enhancing fusion tags (MBP, SUMO)
Optimize lysis buffer composition:
Add mild detergents (0.1% Triton X-100)
Include stabilizing agents (glycerol, arginine)
Test different salt concentrations
Refolding approaches if inclusion bodies form:
Solubilize in 8M urea or 6M guanidine-HCl
Perform step-wise dialysis
Use pulse refolding with redox buffers
Analytical techniques to identify issues:
Western blotting to confirm expression
Analytical SEC to assess aggregation state
Limited proteolysis to identify stable domains
To assess the functional activity of recombinant V. vulnificus 33 kDa chaperonin:
Protein aggregation prevention assays:
Monitor thermal aggregation of model substrates (citrate synthase, luciferase)
Measure light scattering at 320-360 nm over time at elevated temperatures
Calculate percent protection compared to substrate-only controls
Protein refolding assays:
Measure recovery of enzymatic activity for denatured substrates
Compare refolding kinetics with and without hslO
Assess concentration dependence of chaperone activity
ATP hydrolysis measurement:
If ATP-dependent, use malachite green or other phosphate detection assays
Correlate ATPase activity with chaperone function
Redox sensitivity assessment:
Compare activity under reducing and oxidizing conditions
Test activation by specific oxidants (H₂O₂, HOCl)
Measure conformational changes using intrinsic tryptophan fluorescence
Data presentation:
| Assay Type | Key Parameters | Controls | Expected Results |
|---|---|---|---|
| Aggregation prevention | Temperature, substrate:chaperone ratio | Substrate alone, inactive chaperone | Dose-dependent reduction in light scattering |
| Refolding | Denaturation conditions, refolding time | Spontaneous refolding, known chaperone | Increased recovery of substrate activity |
| ATPase activity | ATP concentration, temperature | No substrate, ATP alone | Substrate-dependent stimulation of ATP hydrolysis |
| Redox activation | Oxidant type and concentration | Reduced protein, irreversibly oxidized protein | Activation under specific redox conditions |
To study hslO-substrate interactions:
Physical interaction methods:
Co-immunoprecipitation with anti-hslO antibodies
Pull-down assays using tagged hslO
Surface plasmon resonance for binding kinetics
Isothermal titration calorimetry for thermodynamic parameters
Crosslinking approaches:
Chemical crosslinking with BS3 or formaldehyde
Photo-crosslinking with modified amino acids
Mass spectrometry analysis of crosslinked complexes
Identification of natural substrates:
Immunoprecipitation followed by mass spectrometry
Comparative proteomics of wild-type vs. hslO mutant under stress
Affinity purification of stress-denatured proteins
Structural analysis of complexes:
Cryo-electron microscopy
X-ray crystallography of co-crystals
NMR for mapping interaction interfaces
To investigate how hslO integrates with broader stress response networks:
Transcriptional regulation studies:
Functional interaction analysis:
Create single and double mutants (hslO/rpoS) to assess genetic interactions
Compare phenotypes under various stress conditions
Test for compensatory mechanisms when hslO is deleted
Stress response network:
Experimental approach for RpoS regulation study:
While specific data on hslO's role in V. vulnificus pathogenesis is not provided in the search results, a systematic approach to investigate this question would include:
Genetic approaches:
Generate hslO deletion mutant in V. vulnificus
Create complemented strain expressing hslO from plasmid
Develop regulatable expression system to modulate hslO levels
Virulence phenotype assessment:
In vivo virulence:
Compare wild-type and hslO mutant in infection models
Measure bacterial load in tissues
Assess survival rates and inflammatory responses
Mechanisms of contribution:
To monitor hslO expression during host interaction:
In vitro models:
Expression analysis approaches:
Reporter systems:
Construct hslO promoter-GFP fusion
Use flow cytometry to measure expression at single-cell level
Image bacteria during cell infection to visualize expression
Environmental triggers:
Test expression at different temperatures (37°C vs. environmental temperature)
Evaluate response to host iron limitation
Assess impact of innate immune factors (antimicrobial peptides, reactive oxygen species)
Based on V. vulnificus research, expression analysis during host contact should include appropriate time points (30, 60, 90, 120, 180 minutes) to capture dynamic changes .
To investigate potential hslO-host interactions:
Binding studies:
Express and purify recombinant hslO
Perform binding assays with host cell lysates
Identify binding partners by pull-down and mass spectrometry
Immunological approaches:
Test if hslO is recognized by host pattern recognition receptors
Measure host cytokine responses to purified hslO
Assess antibody development against hslO during infection
Cellular localization:
Use fluorescently tagged hslO to track during infection
Perform fractionation of infected cells to locate bacterial proteins
Use immunostaining to visualize hslO during cell infection
Host cell effects:
Evaluate impact of purified hslO on host cell morphology
Measure changes in host cell signaling pathways
Assess effects on host cell stress response systems
Comparative analysis:
To elucidate the structure-function relationship of V. vulnificus 33 kDa chaperonin:
Structure determination strategies:
X-ray crystallography of purified hslO
Cryo-electron microscopy for larger complexes
NMR for dynamic regions and ligand interactions
Structural features to analyze:
Redox-sensing domain structure
Substrate binding sites
Conformational changes upon activation
Oligomerization interfaces
Mutational analysis guided by structure:
Site-directed mutagenesis of key residues
Creation of chimeric proteins with other HSP33 homologs
Structure-based design of activity-modulating mutations
Computational approaches:
Structure-guided functional studies:
Design substrate-trapping mutants
Create conformation-specific antibodies
Develop small molecule modulators of activity
To explore hslO evolution and conservation:
Comparative genomic analysis:
Evolutionary studies:
Construct phylogenetic trees of hslO across bacterial species
Calculate selection pressure (dN/dS ratios) on different protein domains
Identify horizontally transferred regions
Population genomics:
Examine hslO sequence variation among V. vulnificus clinical isolates
Compare environmental vs. clinical strain hslO sequences
Identify potential adaptive mutations
Genomic context analysis:
Correlation with pathogenicity:
Compare hslO sequences between pathogenic and non-pathogenic Vibrio strains
Identify sequence variants associated with virulence
Analyze regulatory elements for host-responsive elements
To comprehensively identify hslO substrates:
Proteome-wide interaction screening:
Protein microarray with purified hslO
Bacterial two-hybrid or split-reporter systems
Ribosome display with randomized peptide libraries
Mass spectrometry-based approaches:
Stable Isotope Labeling with Amino acids in Cell culture (SILAC)
Thermal proteome profiling to identify stabilized proteins
Crosslinking mass spectrometry to capture transient interactions
In vivo proximity labeling:
hslO-BioID fusion expression in V. vulnificus
APEX2-hslO for temporal mapping of interactions
Compare substrate profiles under different stress conditions
Bioinformatic prediction of substrates:
Develop sequence/structure motifs from known substrates
Machine learning approaches trained on verified interactions
Network analysis to predict functional interactions
Validation strategies:
Direct binding assays with candidate substrates
In vitro aggregation protection assays
In vivo co-expression studies
To evaluate hslO as a therapeutic target:
Target validation:
Screening approaches:
Develop high-throughput activity assays
Screen for inhibitors of chaperone function
Identify compounds that lock hslO in inactive conformation
Rational drug design:
Structure-based design targeting unique features
Fragment-based screening for binding site identification
Peptide inhibitors based on substrate binding motifs
Therapeutic potential assessment:
Test candidate inhibitors in V. vulnificus infection models
Evaluate combination therapy with conventional antibiotics
Assess potential for resistance development
Advantages as antimicrobial target:
Potential to reduce virulence without selection pressure of bactericidal agents
Possible broad-spectrum activity against multiple Vibrio pathogens
Novel mechanism compared to conventional antibiotics