Recombinant Haemophilus influenzae Uncharacterized Protein HI_1016 (HI_1016) is a protein derived from the bacterium Haemophilus influenzae, which is a major opportunistic human pathogen causing both non-invasive and invasive diseases . The protein HI_1016 is expressed in Escherichia coli and is often fused with a His-tag for purification purposes . Despite its designation as "uncharacterized," this protein is of interest in life sciences research due to its potential roles in various biological pathways.
Source and Expression: The recombinant HI_1016 protein is expressed in E. coli, which is a common host organism for recombinant protein production due to its well-understood genetics and ease of manipulation .
Tagging: The protein is typically His-tagged, facilitating its purification using nickel affinity chromatography. This tagging does not significantly alter the protein's function but aids in its isolation .
Length and Sequence: The full-length HI_1016 protein consists of 142 amino acids (1-142aa) .
While specific functions of HI_1016 are not well-documented, proteins like HI_1016 are often involved in various cellular processes. These can include metabolic pathways, stress responses, or interactions with other proteins within the cell.
| Pathway Name | Pathway Related Proteins |
|---|---|
| Metabolic Pathways | Various enzymes and transport proteins |
| Stress Response | Chaperones and heat shock proteins |
| Protein-Protein Interactions | Structural proteins and signaling molecules |
These pathways are speculative based on general protein functions and may require further research to confirm specific roles for HI_1016.
KEGG: hin:HI1016
STRING: 71421.HI1016
While HI_1016 itself is an uncharacterized protein from Haemophilus influenzae, it may share structural or functional similarities with other uncharacterized protein families. For comparison, the Uncharacterized Protein Family 0016 (UPF0016) represents another group of poorly studied membrane proteins that are well-conserved throughout evolution . Members of UPF0016 contain conserved motifs and have been identified as transporters of cations, particularly Mn²⁺, with additional reported functions in Ca²⁺ and/or H⁺ transport .
To determine potential relationships between HI_1016 and other protein families, researchers should conduct computational analyses including:
Multiple sequence alignments to identify conserved domains
Phylogenetic analyses to determine evolutionary relationships
Structural prediction to identify potential functional motifs
Comparative genomics across different bacterial species
This approach may reveal whether HI_1016 belongs to a larger family of functionally related proteins or represents a unique protein specific to Haemophilus influenzae.
The expression of recombinant HI_1016 in E. coli should be optimized using a systematic Design of Experiments (DoE) approach rather than the inefficient one-factor-at-a-time method. This approach allows for the assessment of multiple parameters simultaneously while minimizing experimental runs .
Key parameters to optimize include:
Expression vector selection: pET series vectors with T7 promoter systems are commonly used for high-level expression
E. coli strain selection: BL21(DE3), Rosetta, or Origami strains depending on codon usage and disulfide bond formation needs
Induction conditions:
IPTG concentration (typically 0.1-1.0 mM)
Induction temperature (16-37°C, with lower temperatures often favoring proper folding)
Induction duration (3-24 hours)
Media composition: LB, TB, or minimal media with appropriate antibiotics
Cell density at induction: Typically at OD₆₀₀ of 0.6-0.8
A fractional factorial design can be implemented to screen these factors, followed by response surface methodology for fine-tuning the most significant parameters . Software packages are available to facilitate DoE approach selection, experiment design, and results analysis, ultimately leading to optimized expression conditions with reduced time and resource investment.
For His-tagged recombinant HI_1016, a multi-step purification strategy is recommended:
Initial capture using IMAC (Immobilized Metal Affinity Chromatography):
Ni-NTA or Co-NTA columns with imidazole gradient elution
Typical binding buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole
Elution buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 250-500 mM imidazole
Secondary purification:
Size exclusion chromatography to remove aggregates and obtain monodisperse protein
Ion exchange chromatography if charge-based separation is beneficial
Quality control assessments:
Buffer optimization for stability:
The purified protein should be reconstituted in deionized sterile water to a concentration of 0.1-1.0 mg/mL for experimental use .
A comprehensive approach combining computational and experimental methods is recommended:
Sequence-based analysis:
Homology searches using BLAST, HHpred, or PSI-BLAST
Motif identification using PROSITE, Pfam, or SMART
Secondary structure prediction using PSIPRED or JPred
3D structure prediction using AlphaFold2 or RoseTTAFold
Genomic context analysis:
Evolutionary analysis:
Phylogenetic profiling to identify co-evolved proteins
Identification of conserved residues that may be functionally important
Protein-protein interaction studies:
Pull-down assays using the His-tagged protein
Yeast two-hybrid screening
Cross-linking coupled with mass spectrometry
Phenotypic analysis:
Generation of knockout/knockdown strains
Complementation studies
Growth under various stress conditions
Biochemical characterization:
Enzymatic activity assays based on computational predictions
Binding assays with potential substrates or partners
Structural studies (X-ray crystallography, cryo-EM, or NMR)
This integrated approach has been successfully applied to annotate functions of 296 hypothetical proteins from Haemophilus influenzae with high confidence and an additional 124 proteins with lower confidence .
If investigating potential cation transport function of HI_1016 similar to UPF0016 family members , the following experimental design is recommended:
Membrane localization confirmation:
Subcellular fractionation followed by western blotting
Fluorescence microscopy with tagged versions of HI_1016
Protease protection assays to determine topology
Transport activity assessment:
Reconstitution into liposomes with fluorescent ion indicators
Radioisotope flux assays (⁴⁵Ca²⁺, ⁵⁴Mn²⁺)
Patch-clamp electrophysiology in heterologous expression systems
Ion specificity determination:
Competitive inhibition assays with various cations
Mutagenesis of predicted ion-binding residues
ITC (Isothermal Titration Calorimetry) to measure binding affinities
Physiological relevance testing:
Growth assays under ion limitation or excess
Metal sensitivity/resistance phenotypes in knockout strains
Complementation with known transporters
| Component | Specification | Purpose |
|---|---|---|
| Liposomes | E. coli lipid extract (70:30 PE:PG) | Mimic bacterial membrane |
| Purified protein | HI_1016 at 1:50 protein:lipid ratio | Test subject |
| Internal buffer | 20 mM HEPES, pH 7.0, 100 mM KCl | Control internal environment |
| External buffer | 20 mM HEPES, pH 7.0, 100 mM NaCl | Create ion gradient |
| Fluorescent indicator | Fura-2 (Ca²⁺), CalciumGreen (Mn²⁺) | Detect ion flux |
| Controls | Empty liposomes, known transporters | Validate assay |
Time-course measurements and dose-response curves should be generated for comprehensive characterization of transport kinetics.
To elucidate structure-function relationships in HI_1016, a multi-faceted structural biology approach is recommended:
High-resolution structure determination:
X-ray crystallography: Requires screening of crystallization conditions using commercial kits with varying precipitants, buffers, and additives
Cryo-EM: Particularly useful if HI_1016 forms larger complexes or is membrane-associated
NMR spectroscopy: Suitable for analyzing dynamics if protein size permits (<25 kDa for routine studies)
Structural analysis with computational tools:
Identification of potential active sites or binding pockets
Electrostatic surface mapping to identify charged regions
Molecular dynamics simulations to identify flexible regions
Site-directed mutagenesis studies:
Alanine scanning of conserved residues
Conservative and non-conservative mutations of predicted functional residues
Creation of truncation variants to identify minimal functional domains
Biophysical characterization:
Circular dichroism to assess secondary structure content
Thermal shift assays to identify stabilizing conditions or ligands
Small-angle X-ray scattering (SAXS) for solution structure
The systematic application of these methods, coupled with functional assays, can establish correlations between specific structural elements and functional properties of HI_1016.
Crystallization of recombinant proteins like HI_1016 presents several challenges that can be addressed through systematic optimization:
Protein heterogeneity:
Ensure monodispersity through rigorous size exclusion chromatography
Consider removal of flexible regions identified through limited proteolysis
Assess post-translational modifications that may cause heterogeneity
Buffer optimization:
Screen various buffers, pH conditions, and salt concentrations
Include stabilizing agents like glycerol, trehalose, or specific ions
Consider the addition of reducing agents to prevent oxidation of cysteine residues
Crystallization screening:
Implement sparse matrix screening with commercial kits
Use nanoliter-scale crystallization robots to maximize coverage of conditions
Consider both vapor diffusion and microbatch methods
Crystal optimization:
Fine-tune promising conditions through grid screens
Employ seeding techniques to improve crystal quality
Try additive screens to enhance crystal packing
Alternative approaches:
Fusion partners like T4 lysozyme or BRIL to aid crystallization
Surface entropy reduction through mutation of surface residues
Co-crystallization with antibodies or natural binding partners
A DoE approach can be particularly valuable for crystallization optimization, allowing for the systematic exploration of multiple parameters simultaneously . This methodology has been demonstrated to significantly improve efficiency in finding optimal crystallization conditions compared to traditional one-factor-at-a-time approaches.
To investigate the potential role of HI_1016 in pathogenesis, a comprehensive experimental approach is needed:
Gene knockout and complementation studies:
Create precise deletion mutants using homologous recombination
Perform complementation with wild-type and mutated versions
Assess virulence phenotypes in appropriate infection models
Transcriptional analysis:
RNA-seq under infection-relevant conditions
qRT-PCR to validate expression patterns
Promoter activity analysis using reporter constructs
Host-pathogen interaction studies:
Adhesion and invasion assays with human cell lines
Immune response assessment (cytokine production, neutrophil recruitment)
Bacterial survival in serum, phagocytes, or biofilm formation
In vivo infection models:
Mouse models of bacteremia, pneumonia, or meningitis
Competitive index assays (wild-type vs. mutant)
Bacterial load determination in various tissues
Comparative analysis across clinical isolates:
Sequence variation analysis of HI_1016 in clinical strains
Correlation of variants with virulence or antibiotic resistance
Expression levels in antibiotic-resistant versus sensitive strains
This systematic approach can help determine whether HI_1016 contributes to the pathogen's ability to cause bacteremia, pneumonia, or acute bacterial meningitis, which are common manifestations of H. influenzae infection .
To comprehensively map protein-protein interactions involving HI_1016:
Affinity-based methods:
Co-immunoprecipitation with anti-His antibodies for tagged HI_1016
Pull-down assays using immobilized HI_1016 as bait
Proximity labeling techniques like BioID or APEX2
Genetic-based methods:
Bacterial two-hybrid systems
Suppressor screens to identify genetic interactions
Synthetic lethality/fitness studies with other gene knockouts
High-throughput screens:
Protein microarrays using the H. influenzae proteome
Mass spectrometry-based interactomics
Crosslinking coupled with mass spectrometry (XL-MS)
Computational predictions:
Network analysis based on gene co-expression
Structural docking with potential partner proteins
Text mining of published literature for potential interactions
Validation and characterization:
Surface plasmon resonance to measure binding kinetics
Fluorescence resonance energy transfer (FRET) to confirm interactions in vivo
Co-crystallization of HI_1016 with interaction partners
The results from these studies can be integrated into a protein interaction network to place HI_1016 in a functional context within the H. influenzae proteome, potentially revealing its role in specific cellular processes or pathways.
Understanding the evolutionary context of HI_1016 requires comparative analysis across different strains and related species:
Sequence conservation analysis:
Multiple sequence alignment of HI_1016 homologs from various H. influenzae strains
Identification of conserved domains and residues
Calculation of selective pressure (dN/dS ratio) to identify regions under selection
Phylogenetic analysis:
Construction of phylogenetic trees to visualize evolutionary relationships
Reconciliation with species trees to identify potential horizontal gene transfer events
Analysis of gene presence/absence patterns across the Pasteurellaceae family
Synteny analysis:
Examination of gene neighborhood conservation
Identification of conserved operons containing HI_1016 homologs
Analysis of co-evolution patterns with functionally related genes
Structural comparison:
Homology modeling of HI_1016 from different strains
Identification of structural variations that might affect function
Analysis of surface properties and potential interaction interfaces
This comparative approach can reveal whether HI_1016 represents a core gene in H. influenzae with a conserved function or shows strain-specific adaptations that might correlate with different pathogenic potentials or ecological niches.
Given the increasing concern about multi-drug resistant H. influenzae strains , investigating HI_1016's potential role in antibiotic resistance requires:
Comparative expression analysis:
qRT-PCR comparing HI_1016 expression in sensitive vs. resistant strains
RNA-seq under antibiotic stress conditions
Promoter activity analysis using reporter constructs
Genetic manipulation studies:
Overexpression of HI_1016 in sensitive strains to assess MIC changes
Knockout/knockdown in resistant strains to determine contribution
Complementation with variants found in resistant clinical isolates
Antibiotic susceptibility testing:
Determination of MICs for various antibiotics in wild-type and mutant strains
Time-kill kinetics to assess rate of antibiotic action
Biofilm formation and antibiotic penetration studies
Mechanistic investigations:
Antibiotic accumulation assays to assess potential efflux function
Membrane permeability studies using fluorescent dyes
Direct binding assays between HI_1016 and antibiotics
| Strain | Description | Purpose |
|---|---|---|
| Wild-type H. influenzae | Reference strain | Baseline control |
| ΔHI_1016 | Complete deletion | Loss-of-function assessment |
| ΔHI_1016 + HI_1016 | Complemented strain | Confirmation of phenotype |
| ΔHI_1016 + HI_1016 variants | Mutated complementation | Structure-function analysis |
| HI_1016 overexpression | Increased expression | Gain-of-function assessment |
Testing should include multiple antibiotic classes to identify specific or broad-spectrum effects on resistance profiles.