HI_1222 is a full-length recombinant protein derived from Haemophilus influenzae strain Rd (ATCC 51907 / DSM 11121 / KW20). It is encoded by the gene HI_1222 and has been associated with the uncharacterized protein family in bacterial genomics. While its precise biological function remains unclear, sequence homology suggests potential involvement in bacterial membrane or surface-related processes .
HI_1222 is recombinantly expressed in Escherichia coli and purified to high purity. Key production parameters include:
While HI_1222 lacks direct functional characterization, bioinformatic analysis links it to the lapA gene, which encodes a lipopolysaccharide (LPS) assembly protein in bacteria . LPS is a critical component of the outer membrane in Gram-negative bacteria, influencing pathogenicity and immune evasion. This association suggests HI_1222 may participate in:
LPS Biosynthesis: Assembly or modification of LPS, a key virulence factor.
Membrane Integrity: Maintenance of bacterial cell envelope structure.
Recombinant HI_1222 is primarily used in:
Immunoassays:
Biochemical Analysis:
KEGG: hin:HI1222
STRING: 71421.HI1222
HI_1222 (also cataloged as P44129) is a full-length protein consisting of 97 amino acids derived from Haemophilus influenzae, a fastidious Gram-negative coccobacillus commonly found as a commensal in the human upper respiratory tract. Despite its presence in the H. influenzae genome, this protein remains functionally uncharacterized, making it a subject of ongoing research interest. The complete amino acid sequence is: "MIKYILGIVIFIAIVLVAITIGANNDQIITFNYIVAESQFQLSSLVAILFGLGLILGWLITAFFYIKLKLKNMALARQVKRQTLQI" . The protein structure suggests a membrane-associated role, given the hydrophobic stretches within its sequence.
The recombinant form of HI_1222 is typically expressed in Escherichia coli expression systems with an N-terminal histidine tag to facilitate purification . This approach leverages E. coli's well-established protein production machinery while addressing the challenges inherent in working with fastidious organisms like H. influenzae. The expression protocol typically involves:
Cloning the HI_1222 gene into an appropriate expression vector containing a His-tag
Transforming the construct into a compatible E. coli strain
Inducing protein expression under optimized conditions
Harvesting and lysing cells
Purifying the recombinant protein using affinity chromatography
This methodology circumvents the difficulties associated with protein expression in H. influenzae itself, which has proven refractory to the introduction of currently available shuttle vectors via electroporation .
Working with proteins from H. influenzae presents several challenges that researchers should anticipate:
Transformation inefficiency: Although H. influenzae is naturally competent, it takes up plasmids by transformation very inefficiently, if at all .
Electroporation limitations: Many clinical isolates have proven refractory to the introduction of currently available shuttle vectors via electroporation .
Expression verification difficulties: It has been difficult to determine protein expression from vectors in H. influenzae unless specific antisera have been raised or a phenotype has been conferred .
Growth requirements: As a fastidious organism, H. influenzae requires specific growth conditions and enriched media.
Genetic manipulation constraints: The limited availability of genetic tools for H. influenzae has historically restricted functional studies.
These challenges have led researchers to develop specialized vector systems, such as broad host range vectors transferable via intergeneric conjugation with E. coli strains carrying chromosomally-encoded transfer functions .
Experimental design for characterizing the function of HI_1222 should follow a systematic approach:
Bioinformatic analysis: Begin with sequence analysis, structural predictions, and comparative genomics to generate functional hypotheses.
Identify conserved domains and motifs
Predict secondary structure
Conduct phylogenetic analysis with homologous proteins
Expression system optimization:
Test multiple expression constructs with varying tags and fusion partners
Optimize expression conditions (temperature, induction time, media composition)
Evaluate protein solubility and stability
Functional assays based on predicted roles:
If membrane association is suspected (as the amino acid sequence suggests), conduct membrane localization studies
Test for protein-protein interactions with known H. influenzae virulence factors
Perform gene knockout/complementation studies
Structural characterization:
Circular dichroism spectroscopy for secondary structure
X-ray crystallography or NMR for detailed structural information
In vivo significance:
This methodical approach provides multiple lines of evidence to elucidate function while accommodating the experimental limitations associated with H. influenzae proteins.
Robust data collection for HI_1222 characterization should incorporate multiple methodologies:
| Methodology | Parameters to Measure | Analytical Approach | Expected Outcomes |
|---|---|---|---|
| Western Blotting | Protein expression, molecular weight, stability | Antibody against His-tag or protein-specific antibodies | Confirmation of expression and size |
| Immunoperoxidase Monolayer Assay | Cellular localization, expression patterns | Tagged protein visualization | Subcellular distribution patterns |
| Electron Microscopy | Ultrastructural localization | Immunogold labeling | Precise subcellular localization |
| Growth Curve Analysis | Effect on bacterial growth | Spectrophotometric measurement | Growth kinetics comparison |
| RT-qPCR | Transcriptional response | Gene expression quantification | Regulatory network insights |
| Proteomics | Protein interaction partners | Co-immunoprecipitation, Mass spectrometry | Functional protein complexes |
| Animal Models | In vivo behavior | Infection studies (e.g., infant rat model) | Pathogenesis contributions |
When collecting data, it's critical to include appropriate controls, maintain consistent measurement precision, and ensure all numerical values use consistent significant digits . For each experiment, researchers should design data tables with clear titles, consistent column/row structures, and appropriate units for all measurements .
Incorporating genetic markers into HI_1222 requires careful design to maintain protein function while enabling detection. Drawing from successful approaches with other H. influenzae proteins and recombinant viral systems, researchers should consider:
Tag selection considerations:
Small epitope tags (HA, FLAG, His) minimize functional disruption
Position tags at termini or in permissive internal regions identified through sequence analysis
Consider functional domains when selecting tag placement
Insertion methodology:
Use site-directed mutagenesis for precise tag placement
Design overlapping PCR primers incorporating the tag sequence
Clone into expression vectors with appropriate selection markers
Validation approach:
Application in tracking studies:
This approach allows researchers to track HI_1222 in complex biological systems while minimizing perturbation of its natural function.
Understanding HI_1222's potential role in pathogenesis requires integrated analysis across multiple experimental systems:
Comparative genomics approach:
Analyze HI_1222 conservation across pathogenic and non-pathogenic strains
Identify sequence variations correlating with virulence
Examine gene neighborhoods for functional associations with known virulence factors
Expression pattern analysis:
Determine if HI_1222 expression changes during infection using tagged variants
Monitor expression under conditions mimicking host environments
Compare expression between invasive and non-invasive strains
Host interaction studies:
Assess impact on host cell adhesion and invasion
Evaluate inflammatory response to HI_1222 exposure
Test antibody recognition in convalescent sera
Animal model investigations:
Deploy conjugal vector systems expressing HI_1222 variants
Track progression in infant rat models of infection
Compare wild-type and HI_1222 mutant strains in disease models
While HI_1222 remains uncharacterized, its membrane-associated structure suggests potential involvement in host-pathogen interactions, similar to other membrane proteins in H. influenzae that contribute to conditions ranging from otitis media to meningitis .
When encountering contradictory results in HI_1222 research, a systematic troubleshooting approach is essential:
Methodological consistency analysis:
Document precise experimental conditions across studies
Standardize expression systems, tags, and purification methods
Verify protein identity through mass spectrometry
Strain-specific variations assessment:
Compare HI_1222 sequences across H. influenzae strains used
Evaluate genomic context differences
Test expression in multiple strain backgrounds
Technical variables evaluation:
Examine antibody specificity and cross-reactivity
Assess tag interference with protein function
Consider post-translational modifications
Reconciliation strategies:
Design experiments that directly address contradictions
Employ orthogonal methods to verify findings
Collaborate with groups reporting contradictory results
Statistical approach:
Apply appropriate statistical tests to determine significance
Consider biological versus technical replicates
Calculate confidence intervals for quantitative measurements
This methodical approach helps distinguish genuine biological complexity from technical artifacts, advancing understanding despite initial contradictions.
Developing functional assays for uncharacterized proteins requires a hypothesis-driven approach informed by structural and comparative analysis:
Structure-based functional prediction:
Analyze transmembrane domains and predict membrane topology
Identify conserved motifs suggesting enzymatic activity
Model tertiary structure using homology modeling
Comparative analysis strategy:
Identify characterized proteins with similar features
Adapt established assays from functionally related proteins
Test for complementation of known mutants
Phenotypic screening approach:
Create knockout or overexpression strains
Assess changes in growth, stress response, and virulence
Screen for altered susceptibility to antimicrobials
Biochemical activity testing:
Design assays for predicted enzymatic activities
Test for binding to potential substrates or interaction partners
Evaluate post-translational modifications
Host interaction assessment:
Measure adhesion to host cells or extracellular matrix components
Test for immune response modulation
Evaluate impact on host cell signaling pathways
This comprehensive approach increases the likelihood of identifying functional roles for HI_1222, even in the absence of prior characterization.
Purification of His-tagged recombinant HI_1222 requires optimization to balance yield, purity, and functional preservation:
Lysis buffer optimization:
For membrane-associated proteins like HI_1222, test detergent panels (CHAPS, DDM, Triton X-100)
Include protease inhibitors to prevent degradation
Optimize salt concentration for stability and solubility
Affinity chromatography approach:
Employ Ni-NTA or TALON resins for His-tag purification
Develop gradient elution profiles to separate full-length protein from truncated forms
Consider on-column refolding for inclusion body-derived protein
Secondary purification steps:
Size exclusion chromatography to remove aggregates
Ion exchange chromatography for further purification
Removal of endotoxins for downstream applications
Quality control measures:
SDS-PAGE with western blotting to confirm identity
Mass spectrometry for precise molecular weight determination
Circular dichroism to assess proper folding
Storage conditions optimization:
This systematic approach maximizes the likelihood of obtaining functionally intact HI_1222 protein suitable for downstream analyses.
Expression challenges with membrane-associated proteins like HI_1222 require specialized troubleshooting strategies:
Expression system alternatives:
Test multiple E. coli strains (BL21, Rosetta, C41/C43 for membrane proteins)
Consider cell-free expression systems for toxic proteins
Evaluate insect cell or mammalian expression for complex folding needs
Construct optimization:
Test fusion partners that enhance solubility (MBP, SUMO, Thioredoxin)
Evaluate codon optimization for expression host
Design constructs with removable tags
Induction parameters adjustment:
Reduce temperature (16-20°C) to slow folding and prevent aggregation
Decrease inducer concentration for toxic proteins
Extend expression time with milder induction conditions
Solubilization strategies:
For inclusion bodies, develop effective refolding protocols
Screen detergents for membrane protein solubilization
Test different lysis methods to improve extraction
Scale-up considerations:
Maintain dissolved oxygen levels in larger cultures
Adjust media composition for higher density cultures
Monitor pH throughout extended expressions
These approaches address the specific challenges associated with expressing membrane-associated bacterial proteins while maximizing functional yield.
Robust experimental design for HI_1222 functional studies requires comprehensive controls:
| Control Type | Purpose | Implementation | Data Interpretation |
|---|---|---|---|
| Negative Expression Control | Verify antibody specificity | Vector without insert | Distinguishes background from specific signal |
| Positive Expression Control | Confirm assay functionality | Well-characterized protein with similar properties | Validates experimental system |
| Empty Vector Control | Assess vector contribution | Vector backbone without insert | Identifies vector-associated artifacts |
| Tag-Only Control | Evaluate tag effects | Expression of tag without target protein | Distinguishes tag artifacts from protein function |
| Denatured Protein Control | Confirm structure-function relationship | Heat-inactivated HI_1222 | Verifies activity requires native conformation |
| Related Protein Control | Assess functional specificity | Homologous protein from related species | Determines evolutionary conservation of function |
| Mutant Controls | Map functional domains | Site-directed mutants of predicted functional residues | Identifies critical amino acids for function |
| Biological Replicates | Ensure reproducibility | Independent experiments with different batches | Establishes statistical significance |
When analyzing results, researchers should apply appropriate statistical tests and present data in well-structured tables with clear titles, consistent column/row structures, and appropriate units for all measurements .
Emerging technologies offer new opportunities for unraveling HI_1222's function:
Structural biology advancements:
Cryo-electron microscopy for membrane protein structures
Integrative structural approaches combining multiple data types
AlphaFold and other AI prediction tools for structural modeling
Genetic tool developments:
Single-cell technologies application:
Single-cell RNA-seq to identify co-expressed genes
Spatial transcriptomics to map expression in infection models
Flow cytometry sorting of HI_1222-expressing populations
In situ analysis methods:
Advanced imaging approaches for protein tracking
Host-pathogen interaction visualization platforms
Label-free quantification technologies
Systems biology integration:
Multi-omics approaches combining transcriptomics, proteomics, and metabolomics
Network analysis to position HI_1222 in functional pathways
Machine learning for functional prediction from complex datasets
These technological advances provide unprecedented opportunities to characterize HI_1222's role in H. influenzae biology and pathogenesis.
While HI_1222 remains uncharacterized, several research avenues suggest potential applications in vaccine development:
Antigen screening approach:
Evaluate HI_1222 conservation across clinical isolates
Assess immunogenicity in animal models
Identify protective epitopes through epitope mapping
Marker protein applications:
Vector development considerations:
Stability and immunogenicity testing:
Similar recombinant proteins have demonstrated utility in vaccine development research, with genetic stability maintained through at least 15 passages and successful production of antibodies against both the protein and epitope tags .