The Recombinant Haemophilus parasuis serovar 5 UPF0283 membrane protein HAPS_0079 is a protein derived from Haemophilus parasuis, a bacterium known to cause Glässer's disease in pigs. This disease is characterized by fibrinous polyserositis, polyarthritis, and meningitis, and it poses significant economic challenges in the swine industry . The recombinant protein HAPS_0079 is expressed in Escherichia coli and is fused with an N-terminal His tag for purification purposes .
Species: Haemophilus parasuis serovar 5
Source: Expressed in E. coli
Tag: His-tagged
Protein Length: Full length, 348 amino acids
Form: Lyophilized powder
Purity: Greater than 90% as determined by SDS-PAGE
Storage: Store at -20°C/-80°C upon receipt. Avoid repeated freeze-thaw cycles .
| Specification | Description |
|---|---|
| Species | Haemophilus parasuis serovar 5 |
| Source | E. coli |
| Tag | His-tagged |
| Protein Length | Full length (1-348aa) |
| Form | Lyophilized powder |
| Purity | >90% by SDS-PAGE |
| Storage | -20°C/-80°C |
Although detailed information on the specific pathways and functions of HAPS_0079 is not readily available, proteins from Haemophilus parasuis often participate in various cellular processes, including membrane transport and virulence mechanisms . Further research is needed to elucidate the role of HAPS_0079 in these processes.
KEGG: hap:HAPS_0079
STRING: 557723.HAPS_0079
Haemophilus parasuis (HPS) is the causative agent of Glässer's disease in pigs, characterized by fibrinous polyserositis, arthritis, and meningitis. It often presents as a mixed infection with other upper respiratory tract pathogens, causing significant economic losses to the pig industry . The UPF0283 membrane protein HAPS_0079 is a membrane-associated protein found in serovar 5, one of the 15 known serovars of H. parasuis. Membrane proteins are particularly important in bacterial pathogenesis as they often mediate critical functions including adhesion, invasion, and evasion of host immune responses. Outer membrane proteins like HAPS_0079 may play roles similar to other characterized H. parasuis membrane proteins, such as OMP P2, which has been shown to affect adhesion to host cells and resistance to serum killing .
For effective isolation of membrane proteins from H. parasuis, a modified centrifugation-based method similar to that used for other gram-negative bacteria is recommended. The protocol typically involves:
Bacterial culture harvesting by centrifugation (1000 g, 5 min, 4°C)
Homogenization in buffer containing 20 mM Tris-HCl (pH 7.4), 150 mM NaCl, 250 mM sucrose, 1 mM EDTA, and protease inhibitor cocktail
Initial centrifugation at 10,000 g for 10 min at 4°C to remove cellular debris
Ultracentrifugation of supernatant at approximately 430,000 g for 30 min at 4°C
Resuspension of the membrane-containing pellet in appropriate buffer
Further enrichment can be achieved through additional washing steps, such as urea wash or alkaline wash, which can significantly improve the purity of membrane protein preparations. Each washing method has distinct advantages for different experimental goals:
| Washing Method | Procedure | Advantages | Recommended Application |
|---|---|---|---|
| No Wash (Crude) | Basic ultracentrifugation | Preserves membrane-associated proteins | Initial screening studies |
| Urea Wash | 4M urea treatment | Removes peripheral proteins | Structural studies of integral proteins |
| Alkaline Wash | Na₂CO₃ (pH 11) treatment | Highest purity of integral proteins | Proteomic analysis of transmembrane proteins |
For subsequent analysis, LC-MS/MS is typically employed with proper validation using multiple technical replicates to ensure reliability of identification .
Serotyping of H. parasuis isolates is critical for studying serovar-specific proteins like HAPS_0079. Currently, 15 serovars have been identified, with serovar 5 being among the more virulent types . The differentiation methods include:
Immunodiffusion assays: Using serovar-specific antisera for gel precipitation reactions
PCR-based methods: Targeting serovar-specific genes
Indirect hemagglutination test: A standard serotyping method for H. parasuis
MALDI-TOF mass spectrometry: Allows rapid identification of H. parasuis serovars based on protein profile differences
For confirming the presence of the HAPS_0079 gene specifically, PCR amplification using primers targeting the UPF0283 gene followed by sequencing is recommended. Additionally, whole-genome sequencing can provide definitive identification of the strain and confirm the presence and sequence of the HAPS_0079 gene within the isolate.
When expressing recombinant membrane proteins from H. parasuis, several expression systems can be considered:
| Expression System | Advantages | Limitations | Recommendation for HAPS_0079 |
|---|---|---|---|
| E. coli (BL21) | High yield, simple culture | Potential folding issues | Add fusion tags (MBP, SUMO) to improve solubility |
| Yeast (P. pastoris) | Post-translational modifications | Lower yield than E. coli | Good for functional studies requiring glycosylation |
| Insect cells | Better for complex membrane proteins | More expensive, time-consuming | Consider for structural studies |
| Cell-free systems | Avoids toxicity issues | Expensive, limited scale | Useful for preliminary characterization |
For HAPS_0079 specifically, an E. coli expression system with a His-tag for purification has been documented . The protocol should include:
Gene synthesis or amplification optimized for the expression host
Cloning into an appropriate vector with an inducible promoter
Expression in the selected host under optimized conditions
Membrane fraction isolation by ultracentrifugation
Solubilization using appropriate detergents (DDM, LDAO, or CHAPS)
Purification via affinity chromatography using the His-tag
For comprehensive structural characterization of HAPS_0079, a multi-technique approach is recommended:
For membrane proteins like HAPS_0079, integrating computational approaches such as molecular dynamics simulations with experimental data can provide more comprehensive structural insights, particularly regarding membrane interactions and conformational flexibility.
To assess the function of HAPS_0079 in H. parasuis virulence, the following methodological approaches are recommended:
Gene knockout studies: Create HAPS_0079 deletion mutants using homologous recombination or CRISPR-Cas9 systems. Comparison of the ΔHP0079 mutant with wild-type strains in various virulence assays would reveal the protein's contribution to pathogenicity, similar to studies performed with other H. parasuis genes .
In vitro virulence assays:
Adhesion and invasion assays using porcine cell lines (e.g., PK-15, PUVEC, 3D4/21)
Serum resistance assays to evaluate complement evasion
Biofilm formation assays
Resistance to phagocytosis by porcine alveolar macrophages
Protein-protein interaction studies:
Pull-down assays to identify host targets
Protein microarrays to screen for interactions with host factors
Yeast two-hybrid or bacterial two-hybrid systems for interaction mapping
In vivo infection models:
Pig infection models with wild-type versus ΔHAPS_0079 mutants
Tissue colonization and pathology assessment
Immune response evaluation
Based on studies with other H. parasuis virulence factors, it would be valuable to examine whether HAPS_0079 contributes to adhesion to epithelial cells, evasion of phagocytosis, or resistance to serum killing - all critical virulence mechanisms in this pathogen .
A comprehensive bioinformatic analysis of HAPS_0079 should include:
Sequence-based predictions:
Transmembrane topology prediction using TMHMM, TOPCONS, or Phobius
Signal peptide prediction with SignalP
Conserved domain analysis using InterProScan, PFAM, and CDD
Sequence alignment with homologous proteins across bacterial species
Structural predictions:
Ab initio modeling using tools like AlphaFold2 or RoseTTAFold
Template-based modeling if structural homologs exist
Molecular dynamics simulations to assess stability in membrane environments
Functional predictions:
Gene neighborhood analysis to identify functionally related genes
Co-expression network analysis using existing transcriptomic data
Phylogenetic profiling to identify patterns of evolutionary conservation
Binding site prediction:
Protein-ligand binding site prediction using tools like COACH or FTSite
Protein-protein interaction surface prediction using SPPIDER or PredUs
Combining these computational approaches with experimental validation can provide robust hypotheses about HAPS_0079 function and potential roles in bacterial virulence or survival.
To identify interaction partners of HAPS_0079, several complementary proteomics approaches should be employed:
Co-immunoprecipitation coupled with mass spectrometry (Co-IP-MS):
Express tagged HAPS_0079 in H. parasuis
Crosslink protein complexes in vivo (optional step)
Immunoprecipitate using tag-specific antibodies
Identify co-precipitated proteins via LC-MS/MS
Validate interactions with reverse Co-IP and Western blotting
Proximity-dependent biotin identification (BioID) or APEX2:
Fuse HAPS_0079 with a biotin ligase (BioID) or an engineered peroxidase (APEX2)
Express the fusion protein in H. parasuis
Activate enzyme to biotinylate nearby proteins
Purify biotinylated proteins and identify by MS
Chemical crosslinking mass spectrometry (XL-MS):
Apply crosslinking reagents to intact cells or purified membrane fractions
Digest crosslinked protein complexes
Identify crosslinked peptides by specialized MS methods
Map interaction interfaces at amino acid resolution
Quantitative interactomics:
Compare protein interactions under different conditions (e.g., infection vs. non-infection)
Use SILAC, TMT, or label-free quantification
Apply statistical analysis to identify significant interaction changes
The identified interaction partners should be categorized into functional groups (e.g., host receptors, immune factors, other bacterial proteins) and validated through independent methods such as bacterial two-hybrid assays or fluorescence resonance energy transfer (FRET).
For investigating HAPS_0079 as a potential vaccine antigen, a systematic experimental approach is recommended:
Immunogenicity assessment:
Immunize mice or pigs with purified recombinant HAPS_0079
Measure antibody titers by ELISA
Assess T-cell responses through proliferation assays and cytokine profiling
Compare responses across different adjuvant formulations
Cross-protection analysis:
Evaluate antibody cross-reactivity against multiple H. parasuis serovars
Perform sequence and structural analysis of HAPS_0079 across serovars
Identify conserved epitopes that could provide broad protection
Functional antibody assays:
Bacterial opsonization assays
Complement-mediated killing assays
Adhesion inhibition assays with relevant cell lines
Challenge studies:
Design vaccination-challenge trials in pigs
Compare HAPS_0079 alone versus in combination with other antigens
Include appropriate controls (commercial vaccines, inactivated whole-cell preparations)
Assess protection based on clinical signs, bacterial load, and pathological findings
Delivery system optimization:
Test different formulations (soluble protein, liposomes, virus-like particles)
Evaluate mucosal versus parenteral administration routes
Consider prime-boost strategies
This methodical approach would provide comprehensive data on whether HAPS_0079 has potential as a component in subunit vaccines against Glässer's disease, similar to other outer membrane proteins that have shown promise as vaccine candidates .
For successful membrane protein studies, optimized culture conditions are essential. H. parasuis has specific growth requirements:
| Parameter | Optimal Condition | Notes |
|---|---|---|
| Growth medium | Chocolate agar or PPLO supplemented with NAD (V-factor) | Essential for H. parasuis growth |
| Temperature | 37°C | Maintain consistent temperature |
| Atmosphere | 5-10% CO₂ | Microaerophilic conditions required |
| Growth phase | Mid to late log phase | Optimal for membrane protein expression |
| Culture volume | Large-scale (2-5L) | Required for sufficient protein yield |
| Agitation | Gentle shaking (100-150 rpm) | Prevents cell clumping |
Batch-to-batch variation should be minimized by standardizing inoculum size, monitoring growth curves, and harvesting at consistent optical densities. For membrane protein studies specifically, adding a membrane stabilizing agent like sucrose (250 mM) to the harvesting buffer helps maintain protein integrity during isolation procedures .
Membrane protein solubilization and purification present significant challenges. For HAPS_0079, the following optimized protocol is recommended:
Solubilization screening:
Test multiple detergents (DDM, LDAO, CHAPS, Triton X-100) at various concentrations
Evaluate solubilization efficiency by Western blot
Assess protein stability over time in each detergent
Optimal solubilization conditions:
Buffer: 50 mM Tris-HCl pH 7.5, 300 mM NaCl, 10% glycerol
Detergent: Start with 1% DDM (w/v) for initial solubilization
Incubation: 1 hour at 4°C with gentle rotation
Clearance: Ultracentrifugation at 100,000 g for 1 hour
Purification strategy:
IMAC (Immobilized Metal Affinity Chromatography) using Ni-NTA for His-tagged protein
Buffer containing reduced detergent concentration (0.05-0.1% DDM)
Stepwise elution with imidazole gradient
Size exclusion chromatography as a polishing step
Common challenges and solutions:
| Challenge | Solution Approach |
|---|---|
| Low yield | Optimize expression conditions; scale up culture volume |
| Protein aggregation | Try alternative detergents or detergent mixtures; add stabilizing agents like glycerol |
| Co-purifying contaminants | Implement additional washing steps; consider tandem affinity tags |
| Detergent interference with assays | Use detergent-compatible assay formats; consider detergent removal for specific applications |
Quality control:
SDS-PAGE to assess purity
Western blotting for identity confirmation
Dynamic light scattering to evaluate monodispersity
Circular dichroism to confirm proper folding
This systematic approach maximizes the chances of obtaining functional, properly folded HAPS_0079 protein for subsequent studies.
Rigorous experimental design requires appropriate controls. For HAPS_0079 functional studies, the following controls should be included:
Genetic controls:
Wild-type H. parasuis serovar 5 strain (positive control)
HAPS_0079 knockout mutant (negative control)
Complemented mutant (restored HAPS_0079 expression)
Heterologous expression control (e.g., E. coli expressing HAPS_0079)
Protein-level controls:
Denatured HAPS_0079 (to confirm structure-dependent functions)
Related membrane protein from H. parasuis (specificity control)
Membrane protein from unrelated bacteria (non-specific control)
Host interaction controls:
Uninfected host cells
Host cells treated with inhibitors of specific pathways
Host cells with knockdown/knockout of suspected interaction partners
Technical controls:
Multiple biological replicates (minimum n=3)
Technical replicates for each biological sample
Vehicle/buffer-only controls
Isotype controls for antibody-based assays
Data analysis controls:
Appropriate statistical tests with multiple testing correction
Blinded analysis where applicable
Validation with independent methodologies
Including these comprehensive controls ensures that observed effects can be specifically attributed to HAPS_0079 function rather than experimental artifacts or non-specific effects.
To systematically evaluate HAPS_0079's role in virulence, a multi-faceted experimental design is necessary:
Construction of isogenic mutants:
Generate clean deletion of HAPS_0079 (ΔHAPS_0079)
Create complemented strain (ΔHAPS_0079+pHAPS_0079)
Develop point mutants targeting predicted functional domains
In vitro virulence phenotype assessment:
| Virulence Phenotype | Methodology | Measurement Parameters |
|---|---|---|
| Adhesion to host cells | Infection of porcine cell lines (PK-15, PUVEC) | Adherent bacteria quantified by CFU counts or fluorescence microscopy |
| Invasion capability | Gentamicin protection assay | Intracellular bacteria enumeration |
| Serum resistance | Incubation with porcine serum | Survival rate compared to heat-inactivated serum control |
| Biofilm formation | Crystal violet staining, confocal microscopy | Biofilm biomass, structure, and viability |
| Resistance to phagocytosis | Interaction with porcine alveolar macrophages | Phagocytosis rate, bacterial survival |
Ex vivo tissue models:
Primary porcine respiratory epithelial cell cultures
Porcine precision-cut lung slices
Measure bacterial adherence, tissue damage, and inflammatory responses
In vivo infection models:
Intranasal challenge in piglets (ethical considerations necessary)
Monitor clinical signs, bacterial loads in tissues
Assess histopathological changes and inflammatory markers
Transcriptomic and proteomic analyses:
Compare gene/protein expression profiles between wild-type and ΔHAPS_0079
Identify compensatory mechanisms or affected pathways
Examine host response differences
This comprehensive approach would provide robust evidence regarding the contribution of HAPS_0079 to H. parasuis virulence, similar to studies conducted with other virulence factors such as polysaccharide biosynthetic proteins and CDT toxins .
For comparative studies (wild-type vs. mutant):
Student's t-test for single comparisons between two groups
ANOVA with appropriate post-hoc tests (Tukey, Bonferroni) for multiple group comparisons
Non-parametric alternatives (Mann-Whitney, Kruskal-Wallis) if normality assumptions are violated
For time-course experiments:
Repeated measures ANOVA
Mixed-effects models to account for both fixed and random effects
Area under the curve (AUC) analysis followed by appropriate comparisons
For dose-response studies:
Non-linear regression to fit appropriate models
EC50/IC50 determination with confidence intervals
Comparison of curve parameters across experimental conditions
For high-dimensional data (proteomics, transcriptomics):
Multiple testing correction (Benjamini-Hochberg, Bonferroni)
False discovery rate (FDR) control
Dimension reduction techniques (PCA, t-SNE)
Clustering algorithms for pattern identification
Sample size and power considerations:
A priori power analysis to determine required sample sizes
Effect size estimation based on preliminary data
Minimum biological replicates: n=3, preferably n≥5 for robust analysis
Statistical analysis should be performed using established software such as GraphPad Prism, R, or specialized packages depending on the experimental design . All analyses should include appropriate measures of central tendency and dispersion, with clear reporting of p-values and confidence intervals.
Integrating HAPS_0079 research into the broader context of H. parasuis pathogenesis requires a systematic approach: