Recombinant Haemophilus somnus Ribonuclease 3 (rnc)

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Description

Functional Role of RNase III in Bacteria

RNase III is a conserved endoribonuclease that cleaves double-stranded RNA (dsRNA) and plays critical roles in:

  • Ribosome biogenesis: Processing rRNA precursors and regulating ribosomal RNA maturation .

  • Gene regulation: Degrading mRNA or non-coding RNAs to modulate virulence factors .

  • Stress response: Participating in bacterial adaptation to environmental changes .

In H. somni, RNase III may indirectly influence virulence by regulating transcripts linked to biofilm formation or host immune evasion, as seen in related pathogens .

Comparative Genomic and Proteomic Data

A proteomic study of Haemophilus ducreyi (Table 1) highlights RNase III (Rnc) as part of the transcriptional machinery, with altered expression under stress conditions :

ProteinFunctionFold ChangeRole in Pathogenesis
Rnc (RNase III)RNA processing, antiterminationND*Regulates virulence transcripts

*ND: Not determined in this study, but linked to ribosomal protein modulation .

In H. somni, transcriptomic analyses reveal that luxS (a quorum-sensing gene) modulates ribosomal gene expression during biofilm formation , suggesting potential cross-talk with RNase III-mediated RNA processing.

Recombinant Protein Production Challenges

While no direct data exists for H. somni RNase III, recombinant outer membrane proteins (OMPs) like OMP40 and p31/p40 lipoproteins have been successfully produced in E. coli systems . Key steps include:

  • Cloning: Using plasmids (e.g., pET-22b+) with optimized restriction sites (NcoI/XhoI) .

  • Expression: Autoinduction protocols in E. coli C41 strains to maximize soluble protein yield .

  • Purification: Affinity chromatography (e.g., His-tag systems) .

Hypothetically, H. somni RNase III would require similar strategies, given its conserved dsRNA-binding domain (dsRBD) .

Immunogenic Potential

Recombinant H. somni proteins (e.g., OMP40) elicit strong IgG responses in cattle, with cross-reactivity against other Gram-negative pathogens . RNase III’s conserved structure could make it a candidate for broad-spectrum vaccines, though this remains untested.

Research Gaps and Future Directions

  • Functional Characterization: Role of RNase III in H. somni biofilm formation or intracellular survival .

  • Structural Studies: AlphaFold predictions for H. somni RNase III could guide mutagenesis experiments .

  • Therapeutic Targeting: Small-molecule inhibitors of RNase III might disrupt bacterial RNA processing .

Product Specs

Form
Lyophilized powder. We will preferentially ship the available format. For specific format requirements, please note them when ordering.
Lead Time
Delivery time varies based on purchasing method and location. Consult local distributors for specific delivery times. Proteins are shipped with blue ice packs by default. For dry ice shipping, contact us in advance (extra fees apply).
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute protein in sterile deionized water to 0.1-1.0 mg/mL. Add 5-50% glycerol (final concentration) and aliquot for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50%.
Shelf Life
Shelf life depends on storage conditions, buffer ingredients, temperature, and protein stability. Liquid form: 6 months at -20°C/-80°C. Lyophilized form: 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing. If you have a specific tag type requirement, please inform us for preferential development.
Synonyms
rnc; HSM_0838; Ribonuclease 3; EC 3.1.26.3; Ribonuclease III; RNase III
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-223
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Histophilus somni (strain 2336) (Haemophilus somnus)
Target Names
rnc
Target Protein Sequence
MQLEKLQKKL GHQFTNLDYL KQALTHRSAA AFNNERLEFL GDSILNFAIG KALYEKFPKS NEGELSRMRA TLVKEQTLAV VARQVELGDY LKLGAGELKS GGFRRESILS DCVEALIAAI YLDAGIDVAL ARVYQWYQEL LEQIKPGEAQ KDPKTRLQEF LQGHRLKLPE YEVIEIKGDA HNQSFRVSCK VETLTDVVFG QGTSRRKAEQ HAAQQAIEKL KIK
Uniprot No.

Target Background

Function
Digests double-stranded RNA. Processes primary rRNA transcript into precursors for 23S and 16S rRNAs. Can also process some mRNAs and tRNAs within the rRNA operon. Processes pre-crRNA and tracrRNA of type II CRISPR loci if present.
Database Links

KEGG: hsm:HSM_0838

Protein Families
Ribonuclease III family
Subcellular Location
Cytoplasm.

Q&A

What is Haemophilus somnus Ribonuclease 3 (rnc) and what role does it play in bacterial physiology?

Haemophilus somnus Ribonuclease 3 (encoded by the rnc gene) is an endoribonuclease that specifically cleaves double-stranded RNA structures. This enzyme belongs to the RNase III family and plays critical roles in RNA processing and gene expression regulation. In bacterial physiology, RNase III participates in:

  • Processing of ribosomal RNA precursors

  • Maturation of transfer RNA molecules

  • Post-transcriptional regulation of messenger RNAs

  • Processing of small regulatory RNAs that control gene expression

The enzyme likely influences pathogenesis mechanisms in H. somnus, potentially regulating virulence factors that contribute to bovine respiratory disease (BRD), similar to how other bacterial components affect virulence. H. somnus, now often referred to as Histophilus somni, is an economically important pathogen of cattle and a key component of BRD, which causes significant economic losses in the livestock industry .

What experimental approaches are most effective for analyzing RNase III enzymatic activity?

For rigorous characterization of recombinant H. somnus RNase III enzymatic activity, several complementary approaches are recommended:

  • Gel-based assays:

    • Incubate the enzyme with defined dsRNA substrates

    • Analyze cleavage products using denaturing polyacrylamide gel electrophoresis

    • Visualize with ethidium bromide, SYBR Green, or using 5'-end labeled substrates

  • Fluorescence-based real-time assays:

    • Utilize fluorophore-quencher labeled synthetic dsRNA substrates

    • Monitor fluorescence increase as substrate is cleaved

    • Generate kinetic parameters (Km, Vmax, kcat) under varying conditions

  • Biochemical characterization:

    • Determine optimal buffer conditions (pH 7.5-8.0 typically optimal)

    • Assess divalent metal ion requirements (Mg²⁺ is generally preferred)

    • Evaluate ionic strength effects on activity

    • Test temperature and stability parameters

  • Substrate specificity analysis:

    • Compare cleavage efficiency across substrate variants

    • Map cleavage sites using primer extension or RNA sequencing

    • Determine sequence and structural requirements for optimal activity

These approaches provide complementary data that collectively characterize the enzyme's biochemical properties, allowing researchers to optimize conditions for subsequent experimental applications.

What are the optimal expression systems for producing active recombinant H. somnus RNase III?

Several expression systems can be employed for recombinant H. somnus RNase III production, each with specific advantages:

Bacterial Expression Systems:

Expression SystemFeaturesConsiderations
E. coli BL21(DE3)High yield, simple setupLimited post-translational modifications
E. coli RosettaSupplies rare codons often present in H. somnusImproved expression of AT-rich bacterial genes
E. coli ArcticExpressLow-temperature expression (4-12°C)Better folding for challenging proteins
E. coli SHuffleEnhanced disulfide bond formationUseful if RNase III contains disulfide bonds

Expression Strategy Recommendations:

  • Utilize a pET-based vector system with an inducible T7 promoter

  • Include a C-terminal His-tag for purification (N-terminal tags may interfere with activity)

  • Express at reduced temperatures (16-25°C) to enhance solubility

  • Use lower IPTG concentrations (0.1-0.5 mM) for induction

  • Supplement growth media with 2% glucose to reduce basal expression

This approach mirrors successful strategies used for other H. somnus recombinant proteins, where primers were designed to amplify, clone, express, and purify recombinant proteins that maintained their functional properties .

What purification strategy yields the highest purity and activity for recombinant H. somnus RNase III?

A multi-step purification approach is recommended to achieve high purity while maintaining enzymatic activity:

Step 1: Initial Capture

  • Immobilized metal affinity chromatography (IMAC) using Ni-NTA or Co-NTA resin

  • Lysis buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole, 10% glycerol, 1 mM DTT

  • Include EDTA-free protease inhibitor cocktail during lysis

  • Elute with 250-300 mM imidazole gradient

Step 2: Intermediate Purification

  • Cation exchange chromatography (SP Sepharose)

  • Buffer: 50 mM MES pH 6.5, 50 mM NaCl, 5% glycerol, 1 mM DTT

  • Elute with 50-500 mM NaCl gradient

  • This step separates the recombinant protein from E. coli nucleases and nucleic acids

Step 3: Polishing

  • Size exclusion chromatography (Superdex 75 or 200)

  • Running buffer: 20 mM Tris-HCl pH 7.5, 150 mM NaCl, 10% glycerol, 1 mM DTT

  • Isolates monomeric active fraction from aggregates

Critical Quality Considerations:

  • Verify purity by SDS-PAGE (target >95%)

  • Confirm identity by Western blot or mass spectrometry

  • Assess nuclease activity with model substrates

  • Remove bound nucleic acids (monitor A260/A280 ratio, target ~0.6)

The purification protocol should be performed at 4°C to maintain enzyme stability, similar to approaches used for other recombinant H. somnus proteins that achieved >95% purity with maintained functional activity .

How can protein solubility issues be addressed when expressing recombinant H. somnus RNase III?

Solubility challenges are common when expressing bacterial RNases recombinantly. The following strategies can be implemented to enhance solubility:

Preventive Approaches:

  • Expression optimization:

    • Reduce induction temperature to 16-20°C

    • Lower IPTG concentration to 0.1-0.2 mM

    • Extend expression time (16-24 hours at lower temperatures)

    • Use specialized media (e.g., Terrific Broth with additional supplements)

  • Fusion tags to enhance solubility:

    • MBP (Maltose-Binding Protein) - large but highly soluble

    • SUMO - enhances folding and can be precisely cleaved

    • Thioredoxin - smaller tag with solubility benefits

    • NusA - effective for particularly insoluble proteins

Remedial Approaches for Inclusion Bodies:

ApproachProtocolConsiderations
Mild solubilization2M urea, 1% Triton X-100, pH 8.0Preserves some structure, moderate yield
Denaturing purification8M urea or 6M guanidine-HClComplete denaturation, requires refolding
On-column refoldingGradual denaturant removal on IMACLess aggregation than dilution methods
Pulsatile refoldingStepwise dialysis with redox agentsHigher recovery of active protein

Additives to Improve Solubility:

  • 0.1-0.5M arginine in buffers reduces aggregation

  • 5-10% glycerol stabilizes folded structures

  • 0.5-1.0M non-detergent sulfobetaines (NDSB)

  • Low concentrations (50-100 mM) of amino acids like proline

These approaches can be systematically tested to determine the optimal conditions for obtaining soluble, active recombinant H. somnus RNase III.

How can recombinant H. somnus RNase III be used to investigate bacterial gene regulation mechanisms?

Recombinant H. somnus RNase III provides a valuable tool for investigating gene regulation mechanisms in pathogenic bacteria:

1. Identification of RNase III targets:

  • Perform in vitro cleavage assays with total H. somnus RNA

  • Identify cleaved products by RNA-seq

  • Compare with RNase III-deficient strains to confirm specificity

  • Map cleavage sites at single-nucleotide resolution

2. Regulatory network analysis:

  • Create RNase III deletion mutants and perform transcriptome analysis

  • Identify genes with altered expression patterns

  • Perform complementation studies with the recombinant protein

  • Correlate changes with pathogenesis-related phenotypes

3. Small RNA (sRNA) processing investigation:

  • Examine processing of candidate regulatory sRNAs in vitro

  • Verify processing sites with primer extension assays

  • Correlate processing with mRNA target regulation

  • Map the sRNA-based regulatory network

4. Structure-function studies:

  • Create site-directed mutants of recombinant RNase III

  • Test effects on substrate specificity and catalytic activity

  • Introduce mutations back into H. somnus

  • Correlate biochemical changes with physiological outcomes

These approaches provide insight into how RNase III-mediated RNA processing contributes to gene expression regulation in H. somnus, potentially revealing mechanisms similar to those used by lipoproteins and other virulence factors to modulate pathogen-host interactions .

What role does RNase III play in H. somnus pathogenesis and how can recombinant protein studies advance our understanding?

RNase III likely plays significant roles in H. somnus pathogenesis, and studies with recombinant protein can elucidate these mechanisms:

Potential Pathogenesis Roles:

  • Regulation of virulence factor expression

  • Control of stress response during host infection

  • Modulation of surface antigen expression

  • Processing of regulatory RNAs that control adaptation to host environments

Research Approaches Using Recombinant RNase III:

  • Regulatory target identification:

    • Perform RNA immunoprecipitation with recombinant RNase III

    • Identify bound RNAs by sequencing

    • Validate targets using in vitro cleavage assays

    • Correlate with virulence phenotypes

  • Gene expression effects:

    • Create isogenic mutants (wild-type, rnc deletion, point mutations)

    • Compare transcriptomes during infection-relevant conditions

    • Complement with recombinant protein to verify specificity

    • Identify virulence genes under RNase III control

  • Immune response interaction:

    • Test effects on host immune cell responses

    • Examine whether RNA processing affects immunogenicity

    • Investigate regulation of immune evasion mechanisms

    • Determine if RNase III contributes to resistance against host defenses

Histophilus somni is a key component of the bovine respiratory disease complex, which causes significant economic losses in the livestock industry. Traditional vaccines have shown limited efficacy, suggesting complex regulatory mechanisms may control virulence factor expression . Understanding RNase III's role could provide insights into these regulatory networks and identify new therapeutic targets.

Can recombinant H. somnus RNase III be used as a component in new vaccine formulations?

Recombinant H. somnus RNase III represents a potentially valuable component for novel vaccine formulations, with several considerations regarding its implementation:

Immunological Potential:

  • Conservation across strains:

    • RNases III tend to be highly conserved essential proteins

    • Conservation suggests potential for broad protection

    • Less susceptible to antigenic variation than surface proteins

  • Vaccine formulation approaches:

    • Inclusion as a purified protein antigen

    • Combination with other recombinant antigens (multicomponent approach)

    • Use as a carrier protein for polysaccharide conjugate vaccines

    • Incorporation into novel delivery systems (nanoparticles, liposomes)

Experimental Validation Data Requirements:

ParameterMethodologyExpected Outcomes
ImmunogenicityELISA antibody titers in model animalsHigh antibody production from days 21-42
Protective efficacyBacterial challenge in mice70-100% survival rate against challenge
Safety profileHistopathology and clinical observationsNo significant adverse reactions
Adjuvant optimizationTesting various formulations (Al(OH)₃, oil-in-water)Enhanced antibody production with minimal reactogenicity

Potential for Multicomponent Vaccines:
The combination of multiple antigens in an enriched vaccine may provide more effective protection against complex pathogens like H. somnus. Previous research has shown that experimental vaccines containing two recombinant lipoproteins from H. somnus (p31/Plp4 and p40/LppB) generated high antibody titers in rabbits and sheep and protected mice against bacterial challenge . A similar approach incorporating RNase III could potentially enhance protection against bovine respiratory disease.

Formulations containing multiple conserved antigens might overcome the limitations of traditional bacterins, which have historically failed to demonstrate effective protection in vaccinated animals against H. somnus infection .

What strategies can address RNA contamination issues when purifying recombinant H. somnus RNase III?

RNA contamination presents a significant challenge when purifying ribonucleases due to their natural affinity for RNA substrates. Effective strategies include:

Prevention Methods:

  • Expression system modification:

    • Co-express RNase inhibitor proteins during production

    • Use strains with reduced RNase activity (e.g., BL21 Star™)

    • Express as inactive fusion that can be later activated

  • Buffer optimization:

    • Include high salt (0.5-1.0 M NaCl) in lysis and early purification steps

    • Add low concentrations of denaturants (0.5-1.0 M urea) to disrupt RNA binding

    • Incorporate competitors like heparin (1-5 mg/ml) in early purification steps

Removal Methods:

ApproachProtocolEffectiveness
Nuclease treatmentAdd benzonase (25 U/ml) during lysisHigh for DNA, moderate for RNA
Differential precipitation0.2% polyethyleneimine at pH 8.0Excellent for nucleic acid removal
On-column washing1-2 M NaCl washes during IMACGood for weakly bound RNA
Anion exchangeRun in flow-through mode at pH 8.0Excellent separation of protein from RNA

Quality Control Assessments:

  • Monitor A260/A280 ratio (target < 0.7 for pure protein)

  • Perform activity assays with defined substrates

  • Verify purity by SDS-PAGE with silver staining

  • Test for RNA contamination by staining with SYBR Gold

Implementation of these strategies ensures that the purified recombinant RNase III is free from RNA contaminants that could interfere with subsequent enzymatic and structural studies.

How can researchers differentiate between specific RNase III activity and contaminating ribonuclease activities?

Distinguishing specific RNase III activity from contaminating RNases requires carefully designed control experiments and substrate selection:

Experimental Controls:

  • Catalytically inactive mutant:

    • Generate a site-directed mutant targeting catalytic residues (typically E41A/D45A in bacterial RNase III)

    • Purify using identical protocols as wild-type enzyme

    • Use as negative control in all activity assays

  • Differential inhibition:

    • RNase III is resistant to RNase A inhibitors (RNasin, RI)

    • Include RNasin in reactions to inhibit contaminating RNases

    • Test sensitivity to known RNase III inhibitors (e.g., certain antibiotics)

Substrate Specificity Assessment:

Substrate TypeRNase III ActivityOther RNases
Perfect dsRNA (e.g., synthetic hairpins)Efficient cleavageLimited activity
ssRNANo direct cleavageDegraded by contaminating RNases
Specific model substrates (R1.1 RNA)Precise cleavage at known sitesRandom degradation
Minihelix substrates with 2-bp variantsStructure-dependent cleavageStructure-independent degradation

Analytical Approaches:

  • Map cleavage products using primer extension or RNA sequencing

  • Compare cleavage patterns with known RNase III signature products

  • Use native gel systems to distinguish between endo- and exonucleolytic degradation

  • Perform kinetic analysis with specific vs. non-specific substrates

These approaches ensure that observed activities are attributable to the recombinant H. somnus RNase III rather than contaminants, enabling confident interpretation of experimental results.

What are the critical factors for maintaining long-term stability of purified recombinant H. somnus RNase III?

Long-term stability of purified recombinant H. somnus RNase III requires attention to multiple factors that affect protein integrity and enzymatic activity:

Storage Buffer Optimization:

  • Buffer components:

    • 20 mM Tris-HCl or HEPES, pH 7.5-8.0

    • 100-150 mM NaCl for ionic strength

    • 1-5 mM DTT or 0.5-1 mM TCEP to prevent oxidation

    • 10-50% glycerol as cryoprotectant

    • Optional: 0.1 mM EDTA to chelate trace metals

  • Stabilizing additives:

    • 0.1% BSA as carrier protein for dilute solutions

    • 100-200 mM arginine to prevent aggregation

    • 0.01% Triton X-100 or Tween-20 at low concentrations

    • 1-5 mM magnesium for structural stabilization

Storage Conditions Assessment:

Storage MethodConditionsExpected Stability
Short-term (1-2 weeks)4°C in stabilizing buffer>90% activity retention
Medium-term (1-6 months)-20°C with 50% glycerol>80% activity retention
Long-term (>6 months)-80°C in small aliquots>75% activity retention
LyophilizationFreeze-dried with trehaloseVariable recovery, requires optimization

Stability Monitoring Protocol:

  • Perform activity assays at regular intervals (0, 1, 3, 6 months)

  • Monitor for degradation using SDS-PAGE

  • Measure thermal stability using differential scanning fluorimetry

  • Assess aggregation state by dynamic light scattering

For maintaining maximal activity, store the enzyme in small single-use aliquots to avoid repeated freeze-thaw cycles. When formulating with other components for potential vaccine applications, additional stabilizers may be required, as has been demonstrated with other recombinant H. somnus proteins used in experimental vaccine formulations .

How do the enzymatic properties of H. somnus RNase III compare with those of other bacterial RNase III enzymes?

The enzymatic properties of H. sommus RNase III likely share commonalities with other bacterial RNase III enzymes while potentially exhibiting unique characteristics related to its pathogenic lifestyle:

Comparative Enzymatic Properties:

PropertyH. somnus RNase III (predicted)E. coli RNase IIIS. aureus RNase IIIM. tuberculosis RNase III
Molecular weight~25-28 kDa25.5 kDa26 kDa27.5 kDa
Optimal pH7.5-8.07.57.5-8.06.5-7.0
Metal ion preferenceMg²⁺Mg²⁺Mg²⁺, Mn²⁺Mg²⁺
Typical Km (dsRNA)50-200 nM100-300 nM50-150 nM200-500 nM
Temperature optimum30-37°C37°C30-37°C37°C
Salt toleranceModerateModerateHighLow
Substrate length preference20+ bp20+ bp22+ bp16+ bp

Structural and Functional Conservation:
RNase III enzymes typically share core catalytic mechanisms while displaying species-specific substrate preferences. H. somnus RNase III would be expected to recognize double-stranded RNA structures with specific sequence or structural elements relevant to its gene regulatory networks, potentially including transcripts associated with virulence factor expression or stress responses important during infection.

Evolutionary Considerations:
As a pathogen causing bovine respiratory disease, H. somnus RNase III may have evolved substrate specificities that facilitate adaptation to the bovine host environment, similar to how other H. somnus proteins have specialized functions in pathogenesis .

What bioinformatic approaches can identify potential RNase III substrates in the H. somnus genome?

Several bioinformatic approaches can facilitate the identification of potential RNase III substrates in the H. somnus genome:

Computational Prediction Methods:

  • RNA secondary structure prediction:

    • Scan genome for regions forming extended double-stranded structures

    • Focus on 5' UTRs, intergenic regions, and terminator regions

    • Use tools like RNAfold, Mfold, or RNAstructure

    • Filter for structures with features matching known RNase III substrates

  • Consensus sequence/structure analysis:

    • Identify sequence motifs from known bacterial RNase III substrates

    • Apply position weight matrices to genome-wide scanning

    • Combine with secondary structure predictions

    • Score potential sites based on conservation across related species

  • Comparative genomics approach:

    • Identify conserved structured RNA regions across Pasteurellaceae

    • Focus on regions with compensatory mutations that maintain structure

    • Prioritize structures near virulence genes or stress response pathways

    • Analyze RNA-seq data for processing patterns characteristic of RNase III

Integration with Experimental Data:

Experimental Data TypeBioinformatic AnalysisOutput
RNA-seq from WT vs. ΔrncDifferential expression analysisGenes directly/indirectly regulated by RNase III
Term-seq3' end mappingIdentification of RNase III-dependent termination events
CLASH or CLIP-seqBinding site identificationDirect interaction sites of RNase III with RNA
Ribosome profilingTranslational efficiency changesPost-transcriptional effects of RNase III processing

Validation Pipeline:

  • Select top predicted substrates based on computational scores

  • Design synthetic RNA constructs matching predicted structures

  • Test cleavage with recombinant H. somnus RNase III in vitro

  • Confirm processing patterns in vivo with northern blots or primer extension

These approaches would provide valuable insights into the regulatory networks controlled by RNase III in H. somnus, potentially identifying pathways relevant to its role in bovine respiratory disease pathogenesis.

How can understanding RNase III function contribute to novel therapeutic approaches against H. somnus infections?

Understanding RNase III function in H. somnus could enable several innovative therapeutic approaches:

Therapeutic Targeting Strategies:

  • Direct enzyme inhibition:

    • Design small molecule inhibitors specific to H. somnus RNase III

    • Target unique structural features distinct from mammalian enzymes

    • Use recombinant protein for high-throughput screening assays

    • Develop peptide inhibitors targeting non-catalytic binding surfaces

  • Substrate mimicry approaches:

    • Design decoy RNA substrates that sequester RNase III

    • Develop modified nucleic acids resistant to degradation

    • Create competitive inhibitors based on natural substrates

    • Deliver using nanoparticles or lipid-based carriers

  • Anti-virulence approaches:

    • Identify virulence factors regulated by RNase III

    • Target downstream pathways with existing compounds

    • Combine with conventional antibiotics for enhanced efficacy

    • Develop adjunctive therapies that reduce virulence without killing

Immunological Approaches:

StrategyMechanismPotential Advantage
Recombinant vaccineInclude RNase III with other componentsBroader protection against multiple strains
Attenuated strainsEngineered RNase III mutants as live vaccinesBalanced attenuation and immunogenicity
Immune modulationTarget host responses affected by RNase III-regulated factorsReduced inflammatory pathology
Antibody therapyTarget exposed epitopes of RNase IIINeutralization of extracellular enzyme activity

Translational Research Pathway:

  • Validate RNase III role in pathogenesis using animal models

  • Identify essential RNA processing events controlled by RNase III

  • Screen for compounds that modulate these pathways

  • Test in combination with existing treatments for bovine respiratory disease

The development of such approaches could provide alternatives to traditional vaccines against H. somnus, which have historically shown limited efficacy in protecting cattle against infection . Additionally, a deeper understanding of RNA processing in bacterial pathogens could lead to broadly applicable therapeutic strategies against multiple components of the bovine respiratory disease complex.

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