Recombinant HI_0276 is expressed in E. coli and purified via nickel-affinity chromatography due to its His-tag. Key production parameters include:
Expression Conditions: Growth in standard E. coli media, followed by induction (e.g., IPTG) .
Purification: Lyophilized powder stored at -20°C/-80°C to prevent degradation .
Reconstitution: Suggested in deionized sterile water (0.1–1.0 mg/mL), with optional glycerol addition for stability .
While HI_0276 itself is non-lipidated, lipidation of similar H. influenzae proteins (e.g., OMP26) enhances immune recognition via TLR2 . Although HI_0276’s lipidation status is not explicitly studied, its recombinant form serves as a control in vaccine-related research.
ELISA Reagents: Recombinant HI_0276 is used in enzyme-linked immunosorbent assays to detect anti-H. influenzae antibodies .
Vaccine Development: While not directly tested, similar H. influenzae proteins (e.g., Hi-PAL/P6) have shown efficacy in eliciting protective antibodies, suggesting potential for HI_0276 in multi-antigen vaccine strategies .
Studies on lipidated H. influenzae proteins (e.g., OMP26) reveal that lipidation modulates immune responses. For example:
HI_0276, being non-lipidated, may exhibit similar immunogenic profiles to NL-OMP26 but lacks direct experimental validation.
Recent genomic studies highlight H. influenzae’s global diversity and multidrug resistance, emphasizing the need for novel vaccine targets. While HI_0276 is not directly implicated in resistance, its membrane localization positions it as a potential therapeutic target .
KEGG: hin:HI0276
STRING: 71421.HI0276
The UPF0761 membrane protein HI_0276 is a transmembrane protein encoded by the HI_0276 gene in Haemophilus influenzae. The "UPF" designation (Uncharacterized Protein Family) indicates that while the protein has been identified, its specific biological function remains largely unknown. The protein consists of 269 amino acids and is predicted to have multiple transmembrane domains. As a membrane protein, it likely plays roles in cellular processes such as signaling, transport, or maintaining membrane integrity. The protein is significant in pathogenicity research as membrane proteins often mediate interactions between bacterial pathogens and their hosts .
Sequence analysis provides several insights into the potential structure and function of HI_0276:
Transmembrane topology prediction: Tools like TMHMM, MEMSAT, or Phobius can analyze hydrophobicity patterns to predict membrane-spanning regions.
Conserved domain identification: Analysis of conserved sequences within the UPF0761 family can reveal functional motifs.
Homology-based inference: Comparison with characterized proteins from the same family in other organisms may suggest functional roles.
Evolutionary conservation analysis: Highly conserved residues often indicate functional or structural importance.
Post-translational modification site prediction: Identification of potential glycosylation, phosphorylation, or other modification sites.
For optimal expression of recombinant HI_0276, researchers should consider the following parameters:
Expression System:
E. coli is successfully used as the expression host for this membrane protein
BL21(DE3), C41(DE3), or C43(DE3) strains are recommended for membrane protein expression
Vector and Construct Design:
The protein is typically expressed with an N-terminal His-tag for purification
T7 promoter-based expression systems provide controlled induction
Signal sequence modification may be necessary for proper membrane insertion
Induction Parameters:
Temperature: 16-20°C often improves membrane protein folding
IPTG concentration: 0.1-0.5 mM for T7 promoter systems
Induction time: 16-24 hours at lower temperatures
Media and Supplements:
Rich media (TB or 2XYT) supplemented with 0.5-1% glucose
Addition of 0.5-1% glycerol to stabilize membrane proteins
Potential membrane-stabilizing compounds or specific lipids
Researchers should monitor expression using SDS-PAGE and Western blotting with anti-His antibodies to optimize conditions for their specific laboratory setup .
An efficient multi-step purification strategy for His-tagged HI_0276 includes:
1. Membrane Isolation:
Cell harvesting by centrifugation (5,000 × g, 15 min, 4°C)
Resuspension in buffer containing protease inhibitors
Cell disruption via sonication or high-pressure homogenization
Removal of cell debris by centrifugation (10,000 × g, 20 min, 4°C)
Membrane isolation by ultracentrifugation (100,000 × g, 1 hour, 4°C)
2. Protein Solubilization:
Resuspend membranes in buffer containing:
20 mM Tris-HCl, pH 8.0
300 mM NaCl
1-2% detergent (n-dodecyl-β-D-maltoside or n-octyl-β-D-glucopyranoside)
10% glycerol
Protease inhibitors
Incubate with gentle rotation (2-4 hours at 4°C)
Remove insoluble material by ultracentrifugation
3. Immobilized Metal Affinity Chromatography (IMAC):
Load solubilized protein onto Ni-NTA column
Wash with buffer containing low imidazole (20-40 mM)
Elute with imidazole gradient (50-500 mM)
4. Size Exclusion Chromatography:
Further purify using gel filtration with buffer containing reduced detergent concentration
5. Quality Assessment:
Analyze purity by SDS-PAGE (target >90% purity)
Confirm identity via Western blot or mass spectrometry
This approach has been shown to yield high-purity recombinant membrane proteins suitable for structural and functional studies .
For optimal stability and preservation of HI_0276 activity, the following storage conditions are recommended:
Short-term Storage (up to 1 week):
Store at 4°C in buffer containing:
Tris/PBS-based buffer, pH 8.0
150-300 mM NaCl
Appropriate detergent concentration
Long-term Storage:
Store at -20°C/-80°C in aliquots to minimize freeze-thaw cycles
Add 5-50% glycerol before freezing; 50% final concentration is recommended
Reconstitution of Lyophilized Protein:
Centrifuge vial briefly before opening
For functional studies, consider reconstitution into lipid bilayers or nanodiscs
Stability Monitoring:
Periodically check protein integrity by SDS-PAGE
Assess functional activity using appropriate assays
Monitor for aggregation using dynamic light scattering
Following these guidelines helps maintain structural integrity and functional properties during storage, ensuring reliable experimental results .
Several complementary techniques can be employed for structural determination of HI_0276:
X-ray Crystallography:
Gold standard for high-resolution structures of membrane proteins
Requires successful crystallization, often challenging for membrane proteins
Strategies include detergent screening, lipidic cubic phase crystallization, and use of stabilizing partners
Cryo-Electron Microscopy (cryo-EM):
Increasingly powerful for membrane protein structure determination
Does not require crystallization
Sample preparation involves vitrification in detergent micelles, nanodiscs, or liposomes
Nuclear Magnetic Resonance (NMR) Spectroscopy:
Provides dynamic information not available from static structures
Requires isotopic labeling (15N, 13C, 2H)
Solution NMR using detergent micelles or solid-state NMR in lipid bilayers
Computational Structure Prediction:
RosettaMembrane can predict structures with increasing accuracy
Most valuable when integrated with experimental constraints
Hybrid Approaches:
Combining low-resolution experimental data with computational modeling
Cross-linking mass spectrometry to identify spatial proximities
EPR spectroscopy to define distances between specific residues
For HI_0276, an integrated approach using RosettaMembrane prediction followed by experimental validation would be most practical .
RosettaMembrane, a specialized membrane protein modeling tool, can be applied to HI_0276 structure prediction through the following workflow:
1. Preparation Steps:
Generate multiple sequence alignment of HI_0276 homologs
Predict transmembrane spans using dedicated tools
Define membrane embedding parameters (thickness, orientation)
2. Ab initio Modeling:
Use membrane_abinitio application in Rosetta
Generate fragments from the HI_0276 sequence
Set up membrane environment parameters
Generate 10,000-50,000 models
Select top models based on RosettaMembrane energy scores
3. Comparative Modeling (if templates exist):
Identify structural templates using HHpred
Create alignments between HI_0276 and template structures
Use membrane_comparative modeling protocols
Refine models within the membrane environment
4. Model Refinement:
Apply membrane-specific refinement protocols
Optimize side-chain packing in different membrane regions
Minimize energy in the context of the membrane environment
5. Model Validation:
Assess models using RosettaMembrane energy metrics
Compare predicted and experimentally determined TM spans
Evaluate stereochemical quality using MolProbity
Research has demonstrated that RosettaMembrane recovers native-like amino acid composition in membrane proteins and produces models with realistic surface hydrophobicity, making it currently the best option for modeling membrane proteins like HI_0276 .
To validate computational structural predictions of HI_0276, researchers should employ these experimental approaches:
Site-Directed Mutagenesis:
Mutate predicted functionally important residues
Assess effects on protein folding, stability, and function
Target predicted transmembrane regions and soluble domains separately
Cross-Linking Mass Spectrometry:
Introduce cysteine pairs at predicted proximal residues
Perform disulfide cross-linking experiments
Analyze cross-linked products by mass spectrometry to confirm spatial relationships
Hydrogen-Deuterium Exchange Mass Spectrometry:
Map solvent-accessible regions of the protein
Compare accessibility patterns with predicted structural features
Identify protected regions consistent with transmembrane domains
Spectroscopic Techniques:
Circular dichroism to assess secondary structure content
Fluorescence spectroscopy with introduced tryptophan residues
EPR spectroscopy with site-directed spin labeling
Limited Proteolysis:
Identify protected regions resistant to proteolytic digestion
Compare with predicted structural elements
Map domain boundaries and flexible regions
Functional Assays Based on Structure:
Design assays to test hypotheses derived from structural models
Assess the effects of mutations on predicted functional sites
Evaluate ligand binding or transport activity based on structural features
These validation methods provide experimental evidence to support or refine computational models, creating an iterative process of structural elucidation .
A comprehensive strategy to determine the function of uncharacterized HI_0276 includes:
Genomic Context Analysis:
Examine neighboring genes in the H. influenzae genome
Identify conserved gene clusters across bacterial species
Apply guilt-by-association principles to infer potential functions
Bioinformatic Prediction:
Perform detailed sequence analysis for functional motifs
Identify conserved domains using Pfam, InterPro, or CDD
Apply machine learning-based function prediction tools
Protein-Protein Interaction Studies:
Pull-down assays using His-tagged HI_0276 as bait
Bacterial two-hybrid screening
Cross-linking followed by mass spectrometry
Co-immunoprecipitation with candidate interactors
Gene Deletion and Complementation:
Generate HI_0276 knockout in H. influenzae
Characterize phenotypic changes (growth, morphology, stress response)
Perform rescue experiments with wild-type and mutant versions
Conduct transcriptomic/proteomic analysis of knockout strains
Localization and Trafficking:
Fluorescent protein fusions to determine subcellular localization
Immunogold electron microscopy for precise membrane localization
Fractionation studies to confirm membrane association
Functional Assays:
Test for membrane transport activities
Assess signal transduction capabilities
Screen for enzymatic activities
Measure effects on membrane integrity
By systematically applying these approaches, researchers can develop testable hypotheses about the biological role of HI_0276 .
The structural features of HI_0276 can inform functional studies through several research approaches:
Analysis of Transmembrane Topology:
The number and arrangement of transmembrane helices suggest potential functions:
6-12 helices often indicate transporter activity
7 helices are common in G-protein coupled receptors
4-6 helices may suggest channel-forming capabilities
Identification of Conserved Motifs:
Analyze the 269-amino acid sequence for known functional motifs
Look for characteristic patterns such as:
ATP-binding cassette signatures
Ion coordination sites
Substrate binding pockets
Signal transduction domains
Pocket and Cavity Analysis:
Examine the predicted structure for binding pockets
Assess the electrostatic and hydrophobic properties of cavities
Compare with known binding sites in related proteins
Protein Surface Properties:
Analyze surface charge distribution
Identify potential protein-protein interaction interfaces
Look for lipid-binding regions
Conformational Dynamics Prediction:
Predict flexible regions that might be involved in conformational changes
Identify potential hinge regions or dynamic domains
Model possible conformational states
Comparative Structural Analysis:
Compare the HI_0276 structure with functionally characterized proteins
Look for structural similarities that might suggest functional homology
Identify shared structural features with proteins of known function
These structure-based insights can guide the design of targeted experiments to test specific functional hypotheses about HI_0276 .
As a membrane protein in a pathogenic bacterium, HI_0276 may contribute to virulence through several potential mechanisms:
Host-Pathogen Interactions:
Membrane proteins often mediate adhesion to host cells
HI_0276 could function as an adhesin facilitating colonization
It may participate in biofilm formation, a key virulence determinant
Immune Evasion:
Some membrane proteins contribute to antigenic variation
HI_0276 might be involved in masking surface epitopes
It could participate in resistance to host defense mechanisms
Nutrient Acquisition:
Membrane transporters are crucial for obtaining nutrients in the host
HI_0276 might function in acquiring essential nutrients
Similar to other H. influenzae proteins, it could be involved in heme transport, critical for in vivo growth
Stress Response and Adaptation:
Membrane proteins often sense and respond to environmental cues
HI_0276 might function in adaptation to host microenvironments
It could participate in acid tolerance or resistance to antimicrobial peptides
Secretion Systems:
Bacterial pathogens use specialized secretion systems for virulence factor delivery
HI_0276 might be a component of such systems
It could play a structural or regulatory role in a secretion apparatus
To investigate these possibilities, researchers should conduct comparative studies between pathogenic and non-pathogenic H. influenzae strains, develop infection models, and analyze HI_0276 expression during different stages of infection .
Evolutionary analysis provides valuable insights into HI_0276 function through these methodological approaches:
Phylogenetic Profiling:
Analyze the presence/absence pattern of HI_0276 homologs across species
Correlate with phenotypic traits or metabolic capabilities
Identify species where HI_0276 is essential versus dispensable
Evolutionary Rate Analysis:
Calculate sequence conservation across homologs
Identify highly conserved residues likely crucial for function
Perform site-specific evolutionary rate analysis to detect:
Residues under purifying selection (functionally constrained)
Residues under positive selection (potential host adaptation sites)
Coevolution Analysis:
Identify coevolving residue networks within the protein
Detect residues with correlated mutational patterns suggesting:
Structural contacts
Functional coupling
Allosteric networks
Evolutionary Couplings with Other Proteins:
Identify genes that show similar evolutionary patterns
Detect potential interaction partners through mirrortree analysis
Analyze gene neighborhood conservation across genomes
Domain Architecture Analysis:
Compare domain organization with homologs from diverse species
Identify domain fusion/fission events that suggest functional associations
Detect lineage-specific insertions or deletions with functional implications
By integrating these evolutionary analyses, researchers can generate specific hypotheses about HI_0276 function and identify key residues for mutagenesis studies .
Reconstituting membrane proteins like HI_0276 for functional studies presents several challenges that require specific methodological solutions:
Challenges and Solutions in Membrane Protein Reconstitution:
| Challenge | Solution Approaches | Methodological Details |
|---|---|---|
| Maintaining native conformation | Lipid nanodisc technology | Incorporate protein into MSP1D1-scaffolded nanodiscs with E. coli polar lipids |
| Low reconstitution efficiency | Detergent screening | Systematic testing of detergents (DDM, OG, LDAO) for optimal solubilization and reconstitution |
| Functional assessment | Development of activity assays | Design assays based on predicted function (transport, signaling, or enzymatic) |
| Orientation control in liposomes | Asymmetric reconstitution | Use pH gradients or electrochemical potential to drive directional insertion |
| Aggregation during reconstitution | Stabilizing additives | Include glycerol (10%), cholesterol hemisuccinate, or specific lipids during reconstitution |
| Verification of proper folding | Biophysical characterization | Employ circular dichroism, fluorescence spectroscopy, and limited proteolysis |
| Low protein yield | Scale-up strategies | Optimize expression conditions and develop high-yield purification protocols |
Reconstitution Protocol Optimization:
Detergent Selection: Test multiple detergents for HI_0276 solubilization
Lipid Composition: Determine optimal lipid mixtures that support protein function
Protein:Lipid Ratio: Optimize ratios to prevent aggregation and ensure functionality
Removal of Detergent: Compare methods (dialysis, Bio-Beads, cyclodextrin) for effectiveness
Functional Verification: Develop assays to confirm proper reconstitution and activity
These approaches allow researchers to overcome the inherent difficulties in working with membrane proteins like HI_0276 and establish reliable functional assay systems .
Resolving contradictory results in HI_0276 functional studies requires a systematic troubleshooting approach:
Methodological Standardization:
Develop standardized protocols for expression and purification
Establish consistent assay conditions across laboratories
Create reference standards for activity measurements
Implement detailed reporting of experimental conditions
Cross-Validation with Multiple Techniques:
Apply orthogonal methods to verify findings
Confirm in vitro results with in vivo experiments
Validate biochemical data with genetic approaches
Supplement functional data with structural information
Identification of Variable Factors:
Analyze effects of different detergents on protein behavior
Test influence of lipid composition on activity
Examine potential post-translational modifications
Assess the impact of experimental buffer conditions
Collaborative Resolution Approaches:
Organize multi-laboratory studies using identical materials
Establish data sharing platforms for raw experimental data
Develop consensus protocols through research networks
Implement blinded experimental designs for critical experiments
Computational Integration of Contradictory Data:
Apply Bayesian analysis to weigh conflicting evidence
Develop models that might explain seemingly contradictory results
Use machine learning to identify patterns in contradictory datasets
Employ systems biology approaches to place contradictory results in context
Case Study Approach for Resolution:
Document specific examples where contradictions were successfully resolved
Identify common sources of experimental variability
Develop decision trees for troubleshooting contradictory results
Create repositories of negative and conflicting data
This systematic approach helps researchers navigate the challenges of studying novel membrane proteins like HI_0276, where function assignment is still evolving .