Cloning and Expression:
The ompH gene is typically cloned into expression vectors (e.g., pQE32, pJYH1) for heterologous expression in E. coli . Recombinant OmpH is often expressed as a fusion protein with His-tags or T7 epitopes for purification .
Affinity Chromatography: While effective, denaturing conditions may disrupt OmpH’s native structure, reducing immunogenicity .
Electroelution: Alternative method yielding higher structural integrity but lower throughput .
Vaccine Applications:
Recombinant OmpH has shown efficacy in multiple hosts:
Chickens: Native OmpH induces 90% protection against homologous challenge . Recombinant OmpH (via subcutaneous or intranasal routes) also elicits robust IgG responses .
Ducks: rOmpH with Montanide™ adjuvant provides 100% protection against P. multocida X-73 .
Buffaloes: Intranasal rOmpH (100–200 μg) with CpG-ODN2007 adjuvant reduces hemorrhagic septicemia mortality .
Loop 2: Synthetic peptides mimicking this region confer 70% protection in chickens .
Loop 5: Predicted to contain conformational epitopes critical for immune recognition .
| Host | Vaccine Type | Dose/Route | Protection |
|---|---|---|---|
| Chickens | Native OmpH | Subcutaneous | 90% |
| Ducks | rOmpH + Montanide™ | Subcutaneous | 100% |
| Buffaloes | rOmpH + CpG-ODN2007 | Intranasal | 83–100% |
Structural Instability:
Recombinant OmpH tends to dissociate into monomers under denaturing conditions, necessitating optimized purification protocols .
Serotype Variability:
While OmpH is conserved, variations in external loops may limit cross-serotype protection, requiring multivalent vaccines .
OmpH is one of the main outer-membrane proteins found in a wide array of Gram-negative bacteria including Pasteurella multocida, Aeromonas salmonicida, Shigella dysenteriae, and Escherichia coli. It serves critical structural and functional roles in bacterial cell membranes . In pathogenic bacteria such as P. multocida, OmpH contributes significantly to virulence mechanisms while maintaining immunogenic properties .
OmpH serves multiple essential physiological functions including maintenance of structural integrity and morphology of bacterial cells, porin activity (facilitating the passage of small molecules across the membrane), and roles in conjugation and bacteriophage binding . These functions make OmpH critical for bacterial survival and pathogenicity, particularly in host environments where structural stability and nutrient acquisition are essential for persistence.
Successful cloning of the ompH gene typically follows these research-validated steps:
Design primers specific to the ompH gene sequence (as demonstrated with P. multocida)
PCR amplification of the target gene from bacterial genomic DNA
Insertion into expression vectors such as pET-3d plasmid systems
Transformation into competent E. coli cells (commonly BL21(DE3) strains)
Selection of positive transformants using appropriate antibiotic resistance markers
Verification of successful cloning through restriction enzyme analysis and sequencing
E. coli expression systems have been extensively validated for recombinant OmpH production. The pET expression system with BL21(DE3) host strains has proven particularly effective as it allows for high-level protein expression under control of T7 promoters . This approach facilitates the production of sufficient quantities of recombinant protein for subsequent purification and analysis, making it the preferred system for most OmpH research applications.
Common challenges in recombinant OmpH expression include protein insolubility and formation of inclusion bodies. Researchers can address these issues through:
Optimization of induction conditions (temperature, IPTG concentration, and duration)
Implementation of specialized solubilization-renaturation procedures for isolating protein from inclusion bodies
Use of fusion partners to enhance solubility
Testing different host strains with varying genetic backgrounds
Modifying buffer compositions during purification to maintain protein stability and native conformation
OmpH contributes to bacterial virulence through multiple mechanisms as evidenced by comparative studies between wild-type and OmpH-deficient strains:
Facilitates bacterial colonization and persistence in host tissues
Contributes to protection against host immune responses
Influences bacterial dissemination throughout host tissues
Affects severity of pathological changes in infected tissues
Research with OmpH gene deletion mutants in P. multocida has demonstrated that bacterial loads are significantly lower in tissues infected with OmpH-deficient strains compared to wild-type strains, confirming OmpH's role in pathogenesis .
OmpH engages in complex protein interaction networks during host infection. Proteomic analyses have revealed that OmpH deletion affects 57 of 773 expressed proteins in P. multocida . These interactions involve both coding proteins (ropE, HSPBP1, FERH, ATP10A, ABCA13) and immune response-related proteins (RRP7A, IL-10, IFN-γ, IL-17A, EGFR, dnaJ), forming an intricate network that influences host-pathogen interactions .
Researchers can quantitatively assess OmpH's impact on bacterial proliferation through systematic tissue sampling and bacterial enumeration studies. The table below demonstrates a comparative analysis of bacterial loads in various organs from yaks infected with wild-type (P0910) versus OmpH-deficient (ΔOmpH) P. multocida:
| Post-Infection Time/h | Strain | Thymus (CFU/g) | Lungs (CFU/g) | Spleen (CFU/g) | Lymph Nodes (CFU/g) | Liver (CFU/g) | Kidneys (CFU/g) | Heart (CFU/g) |
|---|---|---|---|---|---|---|---|---|
| 24 | P0910-1 | 3.0 × 10^6 | 2.67 × 10^4 | 3.57 × 10^5 | 1.23 × 10^5 | 6.67 × 10^4 | 2.43 × 10^4 | 1.33 × 10^3 |
| 24 | P0910-2 | 1.23 × 10^6 | 1.98 × 10^4 | 7.33 × 10^4 | 1.60 × 10^4 | 0.67 × 10^4 | 1.43 × 10^4 | 1.21 × 10^3 |
| 24 | P0910-3 | 5.66 × 10^5 | 0.91 × 10^3 | 2.67 × 10^3 | 2.31 × 10^3 | 0.16 × 10^3 | 4.28 × 10^2 | 0.68 × 10^2 |
| 24 | ΔOmpH-1 | 3.7 × 10^5 | 1.02 × 10^3 | 1.59 × 10^4 | 3.28 × 10^4 | 3.66 × 10^3 | 4.48 × 10^3 | 2.00 × 10^2 |
| 24 | ΔOmpH-2 | 2.3 × 10^4 | 2.36 × 10^4 | 3.33 × 10^2 | 2.77 × 10^3 | 5.67 × 10^2 | 2.97 × 10^3 | 4.29 × 10^3 |
| 24 | ΔOmpH-3 | 4.8 × 10^5 | 6.28 × 10^3 | 8.16 × 10^4 | 6.31 × 10^2 | 4.16 × 10^4 | 3.28 × 10^3 | 1.87 × 10^2 |
| 48 | P0910-4 | 1.98 × 10^7 | 3.12 × 10^7 | 2.33 × 10^6 | 9.43 × 10^6 | 1.06 × 10^7 | 8.93 × 10^5 | 6.67 × 10^5 |
| 48 | P0910-5 | 1.89 × 10^7 | 1.50 × 10^5 | 6.98 × 10^4 | 4.13 × 10^4 | 1.70 × 10^5 | 7.93 × 10^4 | 4.71 × 10^4 |
| 48 | P0910-6 | 1.43 × 10^6 | 0.88 × 10^3 | 4.11 × 10^4 | 2.23 × 10^4 | 3.18 × 10^3 | 6.26 × 10^3 | 0.91 × 10^3 |
| 48 | ΔOmpH-4 | 1.3 × 10^6 | 4.62 × 10^4 | 5.39 × 10^5 | 4.09 × 10^3 | 5.58 × 10^5 | 5.13 × 10^4 | 9.11 × 10^3 |
| 48 | ΔOmpH-5 | 7.21 × 10^6 | 5.59 × 10^6 | 4.18 × 10^4 | 6.12 × 10^3 | 7.70 × 10^4 | 8.85 × 10^3 | 6.68 × 10^3 |
| 48 | ΔOmpH-6 | 5.00 × 10^6 | 5.80 × 10^3 | 2.15 × 10^4 | 7.55 × 10^4 | 9.22 × 10^3 | 7.52 × 10^3 | 3.04 × 10^2 |
This data demonstrates that bacterial loads are generally higher in wild-type infections, particularly in the spleen, which appears to be a primary target organ for P. multocida .
The research-validated methodology for constructing OmpH gene deletion mutants involves:
PCR amplification of homologous recombination arms upstream (approximately 362 bp) and downstream (approximately 462 bp) of the OmpH gene using specific primers
Connection of these arms via overlapping PCR
Insertion into a suitable suicide vector (such as pEX18AP) using appropriate restriction sites (EcoRI and BamHI)
Transformation into E. coli DH5α for plasmid propagation
Transfer of the recombinant plasmid into target bacteria via electroporation
Selection of mutants using appropriate antibiotic resistance markers
OmpH deletion significantly alters the pathological progression of bacterial infections:
Delayed onset of clinical symptoms (16 hours post-infection for ΔOmpH versus 11 hours for wild-type)
Milder clinical manifestations including reduced fever, less pronounced anorexia and respiratory distress
Significantly reduced pathological changes in tissues and organs
Reduced hemorrhage and tissue damage in organs such as thymus, heart, liver, spleen, and kidney
Lower bacterial loads across multiple organ systems
These findings indicate that OmpH contributes substantially to the virulence and tissue damage associated with P. multocida infection.
Proteomics analysis has revealed that OmpH deletion affects multiple molecular pathways:
KEGG pathway enrichment analysis identified 20 major pathways regulated by 57 differentially expressed proteins between wild-type and ΔOmpH strains, including:
ABC transportation (ko02010)
Two-component system (ko02020)
RNA degradation (ko03018)
RNA polymerase (ko03020)
Glycolysis/gluconeogenesis (ko00010)
Ubiquinone and terpenoid-quinone biosynthesis (ko00130)
Citrate cycle (TCA cycle) (ko00020)
These findings suggest that OmpH influences multiple fundamental cellular processes beyond its structural role in the outer membrane.
Highly effective purification strategies for recombinant OmpH include:
Isolation of protein from inclusion bodies using a solubilization-renaturation procedure
Ion exchange chromatography using Q-Sepharose to achieve >95% pure monomeric protein
His-tag affinity chromatography when using histidine-tagged constructs
Size exclusion chromatography for final polishing steps
Quality assessment via SDS-PAGE and Western blot analysis
These methods consistently yield high-purity OmpH suitable for downstream applications including immunological studies and structural analyses.
Validation of differentially expressed genes in OmpH-deletion studies can be accomplished through:
Real-time quantitative PCR (qPCR) to confirm expression changes observed in proteomics studies
Western blot analysis to verify protein-level changes
Immunohistochemistry to assess spatial distribution of differentially expressed proteins
Functional assays to determine the biological significance of expression changes
Researchers have successfully validated differential expression of genes including FERH, HSPBP1, ABCA13, ATP10A, RRP7A, IL-10, IFN-γ, and dnaJ in OmpH deletion studies using qPCR, confirming findings from label-free proteomic analyses .
To ensure FAIR compliance for OmpH research data, researchers should implement:
Standardized experimental data tables with comprehensive metadata
Protocols based on Design of Experiments (DoE) methodology
Deposition of data in appropriate public repositories with persistent identifiers
Use of standardized vocabulary and ontologies for describing experimental conditions
Documentation of all data processing steps and analysis methods
These practices facilitate data sharing, reproducibility, and reuse while satisfying key FAIR criteria without imposing insurmountable burdens on researchers .
Development and evaluation of OmpH-based vaccine candidates should follow these methodological steps:
Expression and purification of recombinant OmpH protein using optimized protocols
Creation of OmpH gene deletion mutants as potential live attenuated vaccines
Formulation with appropriate adjuvants to enhance immunogenicity
Evaluation of humoral and cell-mediated immune responses
Challenge studies to assess protective efficacy
Safety assessment through histopathological examination and clinical monitoring
Cross-protection studies against heterologous strains
Research has demonstrated that OmpH deletion mutants maintain immunogenicity while exhibiting reduced virulence, suggesting potential as live attenuated vaccine candidates .
Optimal experimental designs for evaluating OmpH structure-function relationships include:
Site-directed mutagenesis of conserved residues to identify functional domains
Truncation studies to delineate regions responsible for specific functions
Chimeric protein construction combining domains from different species
Structural analysis through X-ray crystallography or cryo-electron microscopy
Molecular dynamics simulations to understand conformational changes
Binding studies to identify interaction partners and binding kinetics
In vivo assessment of mutant proteins to correlate structural changes with functional outcomes
Such approaches help establish causal relationships between specific structural elements and the diverse functions of OmpH proteins.
Systems biology approaches can significantly enhance understanding of OmpH's role through:
Integration of multi-omics data (genomics, transcriptomics, proteomics, metabolomics)
Network analysis to identify key interaction nodes and regulatory mechanisms
Temporal studies examining dynamic changes during infection progression
In silico modeling of host-pathogen interactions
Comparative analysis across multiple bacterial species and host systems
Single-cell analysis to identify heterogeneous responses
Machine learning applications to predict OmpH functions in different contexts
Research has already identified complex protein interaction networks associated with OmpH, involving both coding and immune response-related proteins that form an intricate system influencing host-pathogen interactions .