The recombinant HI_0489 protein is produced under the following conditions :
| Parameter | Detail |
|---|---|
| Expression Host | Escherichia coli |
| Tag | N-terminal His-tag |
| Purity | >90% (SDS-PAGE verified) |
| Form | Lyophilized powder in Tris/PBS-based buffer (6% Trehalose, pH 8.0) |
| Storage | -20°C/-80°C (avoid repeated freeze-thaw cycles) |
| Reconstitution | Sterile water (0.1–1.0 mg/mL), with optional 5–50% glycerol for stability |
While HI_0489 is classified as a "conserved hypothetical protein," bioinformatics analyses suggest potential roles in microbial pathways. Key findings include:
Interaction Partners: HI_0489 shows genetic co-occurrence with proteins involved in dimethyl sulfoxide (DMSO) metabolism, including DmsABC (anaerobic DMSO reductase subunits) and MerT/P (mercury transport proteins) .
Pathway Association: Though no specific pathways are confirmed, computational tools link it to redox-related processes due to its interaction with DmsABC .
HI_0489 is primarily used in:
Structural Studies: Its high purity and solubility make it suitable for crystallography or NMR.
Antigen Development: As a conserved protein, it may serve as a vaccine candidate against H. influenzae infections.
Functional Annotation: Efforts to resolve its role in H. influenzae biology are ongoing, particularly in multi-drug-resistant strains .
The lack of functional annotation remains a barrier. Key research gaps include:
Mechanistic Role: Does HI_0489 contribute to virulence, metabolism, or antibiotic resistance?
Structural Insights: 3D structure determination could reveal binding sites or enzymatic activity.
Clinical Relevance: Its presence in pan-resistant H. influenzae lineages warrants investigation into its role in pathogenicity .
KEGG: hin:HI0489
STRING: 71421.HI0489
HI_0489 is an uncharacterized protein from Haemophilus influenzae, a major opportunistic human pathogen that causes both non-invasive and invasive disease. The full-length protein consists of 157 amino acids and has the UniProt ID P44005. Based on its amino acid sequence, which contains multiple hydrophobic regions, it likely functions as a membrane-associated protein .
Key physical properties of recombinant HI_0489 include:
| Property | Specification |
|---|---|
| Protein Length | Full Length (1-157 amino acids) |
| UniProt ID | P44005 |
| Molecular Form | Lyophilized powder |
| Purity | >90% (as determined by SDS-PAGE) |
| Expression System | E. coli with N-terminal His tag |
| Storage Buffer | Tris/PBS-based buffer, 6% Trehalose, pH 8.0 |
The hydrophobic nature of its amino acid sequence suggests possible roles in membrane transport, signaling, or structural functions, though experimental validation is required to confirm its precise biological role .
For optimal stability and activity of recombinant HI_0489, researchers should adhere to the following storage and handling protocol:
Store lyophilized protein at -20°C/-80°C upon receipt
Aliquot reconstituted protein to avoid repeated freeze-thaw cycles, which significantly degrade protein quality
Working aliquots can be stored at 4°C for up to one week
For reconstitution:
Briefly centrifuge the vial prior to opening to bring contents to the bottom
Use deionized sterile water to reconstitute to 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% (typically 50%) as a cryoprotectant
The reconstituted protein with glycerol should be stored at -20°C/-80°C for long-term storage. Repeated freeze-thaw cycles significantly reduce protein stability and activity and should be strictly avoided .
When designing structural biology experiments for membrane proteins like HI_0489, researchers should consider the following methodological approaches:
Sample Preparation:
Optimize expression in specialized E. coli strains designed for membrane proteins
Screen multiple detergents for solubilization (DDM, LMNG, OG)
Consider amphipols or nanodiscs for stabilization in a membrane-like environment
Structural Determination Techniques:
Cryo-electron microscopy (cryo-EM): Particularly suitable for membrane proteins
X-ray crystallography: Using lipidic cubic phase or bicelle crystallization methods
Solution NMR: For dynamic studies of specific domains or interactions
Computational Modeling:
Homology modeling: Using structurally similar proteins as templates
Molecular dynamics simulations: To study membrane interactions and conformational changes
Ab initio modeling: For regions lacking structural homologs
Given HI_0489's sequence characteristics suggesting multiple transmembrane regions, researchers should be prepared for challenges in expression and purification typical of membrane proteins, including potential toxicity to expression hosts and difficulty maintaining native conformation during purification .
Validating functions of uncharacterized proteins like HI_0489 requires a systematic approach combining computational predictions with experimental validation:
Computational Function Prediction:
Sequence-based analysis using multiple prediction algorithms
Structural modeling and binding site prediction
Genomic context analysis (neighboring genes often have related functions)
Performance evaluation using ROC analysis to assess prediction reliability
Experimental Validation Methods:
Gene knockout/knockdown studies to observe phenotypic changes
Protein-protein interaction studies to identify binding partners
Complementation assays to confirm predicted function
Biochemical assays targeted to specific predicted functions
Evaluation Protocol:
Use a standardized validation pipeline similar to those used for other H. influenzae proteins
Implement ROC analysis to evaluate prediction accuracy (previous studies on H. influenzae proteins achieved accuracy of 96.25%)
Compare with functionally characterized proteins from the same organism as reference standards
For membrane proteins like HI_0489, additional specialized approaches such as transport assays, electrophysiology studies, or lipid interaction analyses may be required based on specific functional predictions .
When designing experiments with recombinant HI_0489, the following controls should be systematically incorporated:
Expression and Purification Controls:
Empty vector control (expression host with expression vector lacking HI_0489 gene)
Non-induced control (expression host containing HI_0489 construct without inducer)
His-tagged control protein (known protein with similar size/properties as HI_0489)
Activity Assay Controls:
Heat-denatured HI_0489 (negative control)
Commercially available related proteins with known function (positive control)
Buffer-only control (to identify buffer-specific effects)
Interaction Study Controls:
Non-specific binding control (e.g., using unrelated His-tagged protein)
Competition assays with unlabeled protein
Reverse pull-down experiments with suspected binding partners
Localization Study Controls:
Known membrane protein control (for membrane localization studies)
Known cytoplasmic protein control
Secondary antibody-only control (for immunofluorescence)
Specificity Controls:
Protein from closely related bacterial species
Mutated versions of HI_0489 with altered key residues
These controls help distinguish true biological activities from artifacts and ensure experimental rigor when working with this uncharacterized protein .
Research on uncharacterized proteins like HI_0489 provides critical insights into H. influenzae pathogenesis through several mechanisms:
Potential Virulence Contributions:
Membrane proteins like HI_0489 often mediate host-pathogen interactions
They may contribute to adhesion, invasion, or immune evasion
Their study can reveal novel virulence mechanisms distinct from known pathways
Contextualizing Population Genetics:
Recent research has shown H. influenzae has a highly admixed population structure with evidence of pervasive negative selection
No specific lineages were found to be enriched in disease samples, suggesting invasive capability is widespread
Understanding proteins like HI_0489 helps explain how different strains maintain pathogenic potential
Antibiotic Resistance Mechanisms:
With increasing multi-drug resistance (MDR) in H. influenzae globally, membrane proteins may contribute to resistance
If HI_0489 functions in transport, it could potentially be involved in drug efflux
Characterizing such proteins helps identify novel targets for antimicrobial development
Non-typeable H. influenzae Biology:
While H. influenzae type b (Hib) vaccines are available, they don't protect against non-typeable strains
Recent studies show 91.7% of isolates were non-typeable in certain populations
Understanding conserved proteins like HI_0489 across strains could inform broader prevention strategies
Investigating HI_0489 contributes to filling critical knowledge gaps in H. influenzae pathogenesis, particularly as this organism represents an urgent concern due to increasing antibiotic resistance .
To understand the evolutionary significance of HI_0489, researchers should implement the following comparative genomics approaches:
Ortholog Identification and Analysis:
Identify HI_0489 orthologs across different strains of H. influenzae and related species
Calculate sequence conservation metrics to identify evolutionarily constrained regions
Analyze selection pressures (dN/dS ratios) to identify regions under purifying or positive selection
Genomic Context Analysis:
Examine gene neighborhood conservation (synteny)
Identify co-evolution patterns with functionally related genes
Analyze operon structures across species
Phylogenetic Profiling:
Create presence/absence patterns across bacterial species
Correlate with specific phenotypes or ecological niches
Identify co-evolving gene sets suggesting functional relationships
Structural Homology Mapping:
Map sequence conservation onto predicted structural models
Identify structurally conserved regions likely to be functionally important
Compare with structurally characterized proteins from other species
Population Genomics Integration:
Analyze HI_0489 variants across clinical isolates
Correlate specific variants with virulence or antibiotic resistance
Compare variation patterns with the broader genomic context
This multi-faceted approach would place HI_0489 within the evolutionary context of H. influenzae's "highly admixed population structure" and "low core genome nucleotide diversity" reported in recent comprehensive studies .
While the exact function of HI_0489 remains uncharacterized, its properties as a predicted membrane protein suggest several potential roles in antibiotic resistance:
Direct Resistance Mechanisms:
Drug efflux: As a membrane protein, HI_0489 could function as part of efflux pump systems that expel antibiotics
Membrane permeability: It might alter membrane composition or structure to reduce antibiotic penetration
Target modification: It could interact with and modify antibiotic targets in the cell envelope
Indirect Resistance Contributions:
Stress response: May participate in membrane-associated stress responses that enhance survival during antibiotic exposure
Biofilm formation: Could contribute to biofilm development, providing physical protection from antibiotics
Metabolic adaptation: Might facilitate metabolic shifts that reduce susceptibility to specific antibiotics
Experimental Approaches to Investigate:
Expression analysis: Compare HI_0489 expression levels between resistant and susceptible strains
Gene knockout studies: Assess changes in antibiotic susceptibility in HI_0489 deletion mutants
Protein interaction studies: Identify interactions with known resistance determinants
This research direction is particularly important given recent findings that H. influenzae has developed "nearly pan-resistant lineages" and that "MDR lineages are not confined to our newly-sequenced dataset, and their establishment globally is an urgent concern" .
Systems biology offers powerful frameworks to contextualize HI_0489 within the broader physiology of H. influenzae:
Multi-omics Integration Strategies:
Transcriptomics: Analyze HI_0489 expression patterns under different conditions
Proteomics: Identify post-translational modifications and interaction partners
Metabolomics: Detect metabolic changes in HI_0489 mutants
Integration techniques: Network analysis combining multiple data types
Network Analysis Approaches:
Protein-protein interaction networks: Place HI_0489 within the interactome
Gene co-expression networks: Identify functionally related genes
Metabolic networks: Model effects of HI_0489 on metabolic pathways
Regulatory networks: Understand HI_0489 regulation and its regulatory effects
Genome-scale Modeling Methods:
Constraint-based models: Integrate HI_0489 into genome-scale metabolic models
Dynamic modeling: Simulate temporal effects of HI_0489 activity
Host-pathogen interaction modeling: Simulate effects on infection dynamics
Recommended Experimental Design:
Perturbation experiments: Systematically alter conditions to observe HI_0489 responses
Time-course studies: Capture dynamic responses during infection or stress
Multi-strain comparisons: Compare systems-level effects across clinical isolates
This systems approach is particularly valuable given recent findings about H. influenzae population structure and the need to understand how proteins like HI_0489 contribute to the organism's adaptability and pathogenic potential across diverse strains .
Membrane proteins like HI_0489 present unique challenges for structural biology studies that require specialized approaches:
Sample Preparation Optimization:
Expression system selection: Use specialized systems for membrane proteins (C41/C43 E. coli strains, insect cells)
Detergent screening protocol:
Start with a panel of mild detergents (DDM, LMNG, GDN)
Assess protein stability using thermal shift assays
Optimize detergent concentration around CMC
Alternative membrane mimetics:
Nanodiscs for native-like lipid environment
Amphipols for enhanced stability
Lipidic cubic phase for crystallization
Structural Determination Methods:
Cryo-EM workflow:
Single particle analysis for larger complexes
Optimize grid preparation to prevent preferential orientation
Consider antibody fragments to increase particle size
X-ray crystallography adaptations:
Lipidic cubic phase crystallization
In meso crystallization methods
Surface entropy reduction
Integrative Structural Biology Approach:
Combine low and high-resolution methods:
Small-angle X-ray scattering for solution conformation
Hydrogen-deuterium exchange mass spectrometry for dynamics
Cross-linking mass spectrometry for interaction mapping
Computational methods integration:
Molecular dynamics simulations in membrane environment
Enhanced sampling techniques for conformational exploration
Integrative modeling combining experimental constraints
This optimized approach accounts for HI_0489's predicted membrane localization based on its hydrophobic amino acid sequence and provides the best chance for successful structural characterization .
Identifying interaction partners and functional networks for HI_0489 requires specialized approaches for membrane proteins:
Protein-Protein Interaction Identification:
Membrane-specific yeast two-hybrid systems
Split-ubiquitin assays optimized for membrane proteins
Proximity labeling approaches (BioID, APEX) in bacterial systems
Co-immunoprecipitation with membrane-compatible detergents
Crosslinking mass spectrometry with membrane-permeable crosslinkers
Genetic Interaction Mapping:
Synthetic genetic arrays with HI_0489 deletion/depletion
CRISPRi/CRISPRa screens to identify genetic interactions
Suppressor mutation screening to identify functional relationships
Transposon mutagenesis combined with HI_0489 perturbation
Functional Network Analysis:
Co-expression network analysis across diverse conditions
Metabolic flux analysis in wild-type vs. HI_0489 mutants
Phenotypic profiling under different stresses
Comparative analysis with known membrane protein networks
Data Integration Framework:
Bayesian network integration of multiple data sources
Machine learning approaches to predict functional associations
Visualization tools optimized for membrane protein networks
Context-specific network modeling (e.g., during infection)
Validation Strategies:
Reciprocal pull-down experiments
Mutational analysis of interaction interfaces
In vivo co-localization studies
Functional assays of predicted protein complexes
This multi-faceted approach would provide comprehensive insights into HI_0489's functional context within H. influenzae and potentially reveal its role in pathogenesis or antibiotic resistance .
Understanding HI_0489 could significantly impact antimicrobial development through several mechanisms:
Novel Target Evaluation:
Target validation criteria:
Essentiality assessment through gene deletion studies
Conservation analysis across H. influenzae strains
Absence of human homologs to minimize side effects
Membrane accessibility for drug binding
Druggability assessment:
Identification of potential binding pockets
Structure-based virtual screening
Fragment-based drug discovery approaches
Resistance Mechanism Insights:
If HI_0489 contributes to resistance:
Development of inhibitors to restore antibiotic sensitivity
Combination therapy approaches targeting both HI_0489 and primary antibiotics
Biomarker development for resistance prediction
Pathway Targeting Strategies:
Identify vulnerabilities in pathways involving HI_0489
Develop compounds targeting multiple components of the pathway
Design molecules that disrupt protein-protein interactions involving HI_0489
Translational Research Roadmap:
High-throughput screening against purified HI_0489
Whole-cell assays in H. influenzae
Lead optimization guided by structure-activity relationships
In vivo efficacy studies in infection models
This approach is particularly important given recent findings of "nearly pan-resistant lineages" of H. influenzae and the urgent concern about MDR lineages established globally, highlighting the need for novel antimicrobial strategies .
The potential role of HI_0489 in vaccine development against non-typeable Haemophilus influenzae (NTHi) should be systematically evaluated:
Vaccine Antigen Assessment:
Conservation analysis:
Sequence conservation across diverse NTHi clinical isolates
Identification of conserved epitopes
Analysis of selective pressure on different protein regions
Immunological evaluation:
B-cell epitope prediction and validation
T-cell epitope mapping
Analysis of immune responses in convalescent patients
Membrane Localization Advantages:
Surface accessibility analysis based on topology prediction
Experimental confirmation of surface exposure
Evaluation of accessibility to antibodies
Vaccine Formulation Considerations:
Recombinant protein approaches using purified HI_0489
Peptide-based vaccines targeting conserved epitopes
DNA or mRNA vaccine encoding HI_0489
Outer membrane vesicle vaccines containing HI_0489
Efficacy Evaluation Framework:
Animal models of NTHi colonization and infection
Assessment of protection against diverse clinical isolates
Measurement of functional antibody responses
Evaluation of both humoral and cellular immunity
This research direction is highly relevant given recent findings that 91.7% of H. influenzae isolates were non-typeable (NT) in certain populations, and that current Hib vaccines offer no protection against NT strains .
The most pressing research gaps and future directions for HI_0489 investigation include:
Fundamental Knowledge Gaps:
Definitive functional characterization
Three-dimensional structure determination
Physiological role during infection
Regulation mechanisms and expression patterns
Technical Challenges to Address:
Development of specific antibodies against HI_0489
Optimization of expression and purification protocols
Creation of conditional knockout systems
Development of high-throughput functional assays
Priority Research Directions:
Structure determination using cryo-EM or X-ray crystallography
Comprehensive interactome mapping in different conditions
In vivo functional studies using animal models
Evolutionary analysis across H. influenzae lineages
Investigation of potential roles in antibiotic resistance
Translational Research Opportunities:
Assessment as a diagnostic biomarker
Evaluation as a therapeutic target
Development of protein-specific inhibitors
Exploration as a vaccine component
Collaborative Research Framework:
Integration with global H. influenzae surveillance
Combination with population genomics datasets
Multi-disciplinary approaches combining structural biology, genetics, and clinical microbiology
Addressing these research priorities would significantly advance our understanding of HI_0489 and potentially contribute to addressing the urgent concern of increasing antibiotic resistance in H. influenzae .