The recombinant USA300HOU_0928 protein is a full-length, His-tagged construct spanning residues 1–129 of the UPF0344 protein encoded by the USA300HOU_0928 gene (UniProt ID: A8Z075) . Key characteristics include:
While the exact biological role of UPF0344 remains uncharacterized, its inclusion in recombinant antigen libraries suggests investigative interest in its potential as a virulence factor or immune target .
Vaccine Development: Although not directly tested in clinical trials, UPF0344 is part of broader efforts to identify conserved S. aureus antigens. For example, multi-antigen vaccines incorporating surface proteins like IsdB and SpA have shown cross-protective immunity in preclinical models .
Antibiotic Resistance Studies: USA300HOU_0928 is used to explore mechanisms underlying methicillin resistance in the USA300 strain .
Stability: Avoid repeated freeze-thaw cycles; glycerol (5–50%) improves solubility during reconstitution .
Cross-Reactivity: Antibodies raised against this protein may recognize homologs in other Staphylococcus species (e.g., S. epidermidis) due to sequence conservation .
KEGG: sax:USA300HOU_0928
Initial characterization should follow a systematic approach starting with bioinformatic analysis and progressing to experimental validation:
Bioinformatic analysis: Conduct sequence homology searches to identify related proteins across bacterial species. Use topology prediction algorithms to estimate transmembrane regions and orientation.
Expression testing: Evaluate expression in multiple systems, with E. coli being a proven viable host as demonstrated by successful commercial production . Test various expression conditions including temperature, induction timing, and media composition.
Purification optimization: Implement a purification strategy including immobilized metal affinity chromatography (IMAC) utilizing the His-tag fusion, followed by size exclusion chromatography to achieve >90% purity as verified by SDS-PAGE .
Structural validation: Employ circular dichroism spectroscopy to confirm proper folding and secondary structure content, particularly the alpha-helical content expected in a transmembrane protein.
Localization studies: Perform subcellular fractionation and membrane extraction studies to confirm membrane association in both recombinant systems and native S. aureus.
This methodical approach establishes fundamental properties before proceeding to more complex functional studies.
For uncharacterized proteins like USA300HOU_0928, multiple computational approaches should be combined:
Sequence-based tools: Beyond basic BLAST searches, employ position-specific scoring matrices and hidden Markov models to detect distant relationships with characterized proteins. These methods might identify subtle sequence patterns associated with specific functions.
Structural prediction: Use AlphaFold2 or RoseTTAFold to generate structural models, then compare these models against structural databases to identify potential functional homologs even when sequence similarity is low.
Genomic context analysis: Examine the genomic neighborhood of USA300HOU_0928 across Staphylococcus species. Genes consistently co-located with USA300HOU_0928 may have related functions, providing clues to its role.
Gene expression correlation networks: Analyze transcriptomic data to identify genes whose expression patterns correlate with USA300HOU_0928 across different conditions, suggesting functional relationships.
Protein-protein interaction prediction: Use tools that predict potential interaction partners based on sequence features, co-evolution patterns, or structural compatibility.
While these computational approaches generate hypotheses rather than definitive answers, they guide subsequent experimental design by narrowing the functional possibilities to test.
Expression of membrane proteins like USA300HOU_0928 presents unique challenges requiring specialized approaches:
E. coli expression system: Successfully employed for commercial production of USA300HOU_0928 as documented in search result . When using E. coli, consider:
Strain selection: BL21(DE3) serves as a standard strain, but C41(DE3) and C43(DE3) are specifically engineered for membrane protein expression with reduced toxicity .
Vector design: Vectors with tightly regulated promoters prevent leaky expression that may be toxic.
Fusion partners: The His-SUMO tag fusion strategy enhances both purification and solubility .
Alternative expression systems:
Cell-free systems: Allow direct incorporation into detergent micelles during synthesis.
Yeast expression: Provides a eukaryotic membrane environment that may improve folding.
Insect cell expression: Offers complex post-translational modifications if required.
Experimental data confirms that E. coli expression with His-tagging produces functional USA300HOU_0928 with purity exceeding 90% as determined by SDS-PAGE , making this the recommended starting approach for most research applications.
A multi-step purification strategy optimized for membrane proteins yields the best results:
Cell lysis and membrane preparation:
Mechanical disruption (sonication or high-pressure homogenization) in buffer containing protease inhibitors
Separation of membrane fraction by ultracentrifugation
Membrane solubilization using appropriate detergents (typically mild non-ionic detergents like DDM or LDAO)
Affinity chromatography:
Size exclusion chromatography:
Secondary purification step to separate monomeric protein from aggregates
Buffer containing detergent at concentrations above critical micelle concentration
Collection of fractions corresponding to properly folded protein
Quality assessment:
This strategy consistently produces high-purity protein suitable for structural and functional studies.
When encountering problems with USA300HOU_0928 expression, systematic troubleshooting should address:
Low expression yield:
Problem: Minimal protein production despite confirmed plasmid integrity
Solution: Lower induction temperature (16-20°C), reduce IPTG concentration, optimize induction timing (mid-log phase), and extend expression time (16-24 hours)
Measurement: Quantify improvement using Western blot analysis of whole-cell lysates
Inclusion body formation:
Host cell toxicity:
Poor detergent extraction:
Problem: Low recovery during membrane solubilization
Solution: Screen multiple detergent types and concentrations, optimize detergent:protein ratio, adjust salt concentration
Analysis: Quantify protein in solubilized versus insoluble fractions after detergent treatment
Addressing these common challenges through systematic parameter optimization significantly improves USA300HOU_0928 production outcomes.
Determining membrane protein topology requires complementary experimental strategies:
Cysteine accessibility methods:
Methodology: Introduce single cysteine residues at predicted loop regions and test their accessibility to membrane-impermeable sulfhydryl reagents
Implementation: Generate a series of single-cysteine mutants (native sequence contains no cysteines), express in E. coli, and probe with PEG-maleimide
Data analysis: Accessible cysteines show mobility shifts on SDS-PAGE, revealing their membrane orientation
Reporter fusion strategy:
Methodology: Create truncations at different positions fused to reporters like alkaline phosphatase (active in periplasm) or GFP (fluorescent in cytoplasm)
Implementation: Generate 8-10 fusion constructs targeting predicted loops, express in E. coli, and measure reporter activity
Interpretation: Activity patterns reveal which segments face cytoplasm versus periplasm
Protease protection assays:
Methodology: Expose membrane vesicles containing the protein to proteases, then identify protected fragments
Implementation: Express USA300HOU_0928 in E. coli, prepare inside-out and right-side-out membrane vesicles, treat with proteases, and analyze by Western blotting
Analysis: Fragments protected in one orientation but digested in the other reveal topology
Epitope mapping:
Methodology: Insert epitope tags at various positions and test accessibility using antibodies
Implementation: Create multiple constructs with small epitopes (FLAG, HA) at predicted loops, express in cells, and perform immunofluorescence with and without membrane permeabilization
Data interpretation: Epitopes accessible without permeabilization are extracellular
Combining data from multiple approaches produces a reliable topology model that guides further functional studies.
For proteins of unknown function like USA300HOU_0928, a multi-faceted approach to functional characterization is essential:
Genetic manipulation in S. aureus:
Gene deletion: Create knockout mutants and assess phenotypic changes in growth, stress resistance, virulence, and antibiotic susceptibility
Complementation: Re-introduce wild-type or mutant versions to confirm phenotype specificity
Overexpression: Analyze effects of elevated protein levels on cellular physiology
Protein interaction studies:
Transport function assessment:
Liposome reconstitution: Incorporate purified protein into liposomes with fluorescent indicators
Substrate screening: Test transport of ions, metabolites, or antibiotics
Electrophysiology: Assess channel activity using patch-clamp techniques
Structural changes under varying conditions:
pH sensitivity: Monitor structural changes across physiological pH range
Ligand binding: Screen potential ligands using thermal shift assays
Metal binding: Assess interactions with divalent cations common in bacterial physiology
This systematic approach progressively narrows potential functions while generating testable hypotheses about USA300HOU_0928's biological role.
Site-directed mutagenesis provides critical insights into structure-function relationships:
For USA300HOU_0928, an initial panel of 8-10 strategically selected mutations can provide significant functional insights when systematically characterized through this approach.
Membrane proteins like USA300HOU_0928 require specialized structural approaches:
Preliminary structural assessment:
Circular dichroism (CD) spectroscopy: Quantifies secondary structure content, particularly alpha-helical components expected in transmembrane domains
Size exclusion chromatography with multi-angle light scattering (SEC-MALS): Determines oligomeric state in detergent solution
Differential scanning calorimetry (DSC): Measures thermal stability and identifies buffer conditions for structural studies
High-resolution structural methods:
X-ray crystallography: Requires extensive crystallization screening with specific membrane protein techniques, including lipidic cubic phase crystallization
Cryo-electron microscopy: Increasingly successful for smaller membrane proteins when incorporated into nanodiscs or amphipols
NMR spectroscopy: Viable for smaller membrane proteins like USA300HOU_0928 when isotopically labeled
Computational structural analysis:
Homology modeling: Construct models based on related structures if available
Ab initio prediction: Use algorithms like AlphaFold2 specifically parameterized for membrane proteins
Molecular dynamics simulations: Simulate behavior in membrane environments
Hybrid approach implementation:
Initial characterization using spectroscopic methods
Information on protein dynamics from hydrogen-deuterium exchange mass spectrometry
Integration of low-resolution experimental data with computational models
For USA300HOU_0928, a strategic pipeline beginning with CD spectroscopy and progressing to either solution NMR or cryo-EM offers the most promising path to structural insights.
Sample preparation critically impacts structural analysis success:
Expression optimization for structural studies:
Isotopic labeling: For NMR studies, establish protocols for 15N, 13C, and 2H labeling in E. coli minimal media
Selenomethionine incorporation: For X-ray crystallography phasing, if pursuing crystallographic approaches
Scale-up considerations: Develop strategies for producing milligram quantities of pure protein
Detergent and lipid screening:
Systematic detergent testing: Screen detergent panel (DDM, LMNG, LDAO, etc.) for optimal protein stability
Detergent exchange methods: Implement on-column detergent exchange during purification
Reconstitution approaches: Test incorporation into nanodiscs, liposomes, or amphipols
Sample homogeneity optimization:
Size exclusion chromatography: Final polishing step to ensure monodisperse samples
Dynamic light scattering: Verify sample monodispersity before structural experiments
Negative-stain electron microscopy: Preliminary assessment of sample quality
Stability enhancement:
Ligand addition: Include potential stabilizing ligands if identified
Buffer optimization: Conduct thermal shift assays to identify stabilizing buffer components
Construct engineering: Consider thermostabilizing mutations or fusion partners
Following product specifications in search result , reconstituting lyophilized protein in deionized sterile water (0.1-1.0 mg/mL) with appropriate detergent and stability enhancers provides a starting point for structural sample preparation.
Computational methods significantly enhance structural analysis:
Sequence-based structure prediction:
Transmembrane topology prediction: Use specialized algorithms (TMHMM, TOPCONS) to identify membrane-spanning regions
Secondary structure prediction: Predict alpha-helical content and orientation
Coevolution analysis: Identify potentially interacting residues through evolutionary coupling analysis
Advanced structural modeling:
Template-based modeling: Use structures of related membrane proteins as templates
Deep learning approaches: Apply AlphaFold2 or similar tools optimized for membrane proteins
Integrative modeling: Combine low-resolution experimental data with computational predictions
Molecular dynamics simulations:
Membrane embedding: Simulate USA300HOU_0928 in realistic lipid bilayers
Stability assessment: Evaluate structural stability during extended simulations
Potential binding site identification: Probe surface for potential ligand binding pockets
Virtual screening applications:
Binding site prediction: Identify potential functional sites on the protein surface
Ligand docking: Screen compound libraries against predicted binding sites
Protein-protein interaction modeling: Predict potential interaction partners
For USA300HOU_0928, a hierarchical approach beginning with topology prediction, followed by AlphaFold2 modeling and membrane-embedded molecular dynamics simulations provides a solid computational foundation to guide and interpret experimental studies.
Understanding USA300HOU_0928's potential role in pathogenicity requires exploration of several mechanisms:
Virulence phenotype assessment:
Infection models: Compare wild-type to USA300HOU_0928 knockout strains in cell culture invasion assays and animal infection models
Biofilm formation: Evaluate contributions to biofilm development and architecture
Host cell interactions: Assess effects on adhesion to and invasion of host cells
Stress response functions:
Antimicrobial peptide resistance: Test sensitivity to host defensive peptides
pH adaptation: Evaluate growth and survival under varying pH conditions mimicking host environments
Oxidative stress handling: Measure resistance to reactive oxygen species produced during immune response
Potential virulence regulation:
Expression analysis: Monitor USA300HOU_0928 expression during different infection stages
Regulatory interactions: Identify whether USA300HOU_0928 affects expression of established virulence factors
Signal transduction: Investigate potential role in sensing host environment cues
S. aureus is known to cause various infections ranging from minor skin infections to life-threatening conditions through virulence factors and surface proteins . USA300HOU_0928's membrane localization suggests potential roles in host-pathogen interactions or environmental adaptation mechanisms relevant to pathogenicity.
Evaluating USA300HOU_0928 as a potential therapeutic target requires systematic assessment:
Target validation criteria:
Essentiality: Determine whether USA300HOU_0928 is essential for bacterial growth or virulence
Conservation: Analyze presence and sequence conservation across clinical S. aureus isolates
Human homology: Confirm absence of close human homologs to minimize off-target effects
Druggability assessment:
Structural analysis: Identify potential binding pockets suitable for small molecule binding
Surface accessibility: Evaluate whether key functional regions are accessible to inhibitors
Assay development: Establish functional assays suitable for screening inhibitor candidates
Therapeutic strategy development:
Inhibition approaches: Design strategies to block protein function through small molecules
Antibody-based approaches: Explore potential for antibody targeting if external epitopes are identified
Combination approaches: Assess synergy with existing antibiotics
Resistance development risk:
Mutation rate analysis: Assess natural variation in clinical isolates
Resistance mechanism prediction: Evaluate potential bypass mechanisms
Evolutionary pressure analysis: Consider selective pressures on target conservation
While specific information on USA300HOU_0928 as an antimicrobial target is not directly provided in the search results, its presence in methicillin-resistant S. aureus strains highlights potential relevance to addressing antibiotic resistance challenges.
Recombinant USA300HOU_0928 offers several applications in vaccine research:
Antigen evaluation:
Immunogenicity assessment: Test purified recombinant protein for antibody response in animal models
Epitope mapping: Identify immunodominant regions using peptide arrays and deletion constructs
Protective capacity: Evaluate whether antibodies against USA300HOU_0928 provide protection in challenge models
Vaccine formulation approaches:
Subunit vaccine components: Test recombinant full-length protein or selected domains
Peptide-based vaccines: Design peptides based on immunogenic epitopes
Adjuvant combinations: Optimize formulations for enhanced immune response
Cross-protection potential:
Sequence conservation analysis: Compare USA300HOU_0928 sequences across S. aureus strains
Cross-reactivity testing: Assess whether antibodies recognize protein from diverse clinical isolates
Strain coverage prediction: Estimate potential protection breadth based on epitope conservation
Immune response characterization:
Antibody isotype analysis: Determine IgG subclasses elicited by immunization
T-cell response assessment: Characterize cellular immunity components
Memory response evaluation: Measure duration of protective immunity
The recombinant protein described in search result with >90% purity provides suitable material for initial immunogenicity testing, though it should be noted that products from Creative BioMart specify they are for research purposes only and cannot be used directly on humans or animals .
Proper storage and handling are essential for maintaining protein integrity:
Storage recommendations:
Long-term storage: Store lyophilized powder or aliquoted protein at -20°C/-80°C as recommended in search result
Aliquoting strategy: Prepare single-use aliquots to avoid repeated freeze-thaw cycles, which are specifically noted to be detrimental
Storage buffer: Use Tris/PBS-based buffer with 6% Trehalose at pH 8.0 as specified in the product information
Reconstitution protocol:
Initial preparation: Briefly centrifuge vial before opening to bring contents to the bottom
Reconstitution medium: Use deionized sterile water to achieve concentration of 0.1-1.0 mg/mL
Stabilizer addition: Add glycerol to 5-50% final concentration for freezing, with 50% being the recommended default
Working solution handling:
Quality verification:
Activity monitoring: Establish functional assays to verify retained activity
Physical appearance: Monitor for visible aggregation or precipitation
Periodic testing: Implement quality control testing for long-term stored material
Following these specific guidelines from search result helps ensure experimental reproducibility and maximal protein activity.
Rigorous experimental design requires appropriate controls:
Negative controls:
Heat-denatured protein: Verify that observed effects require properly folded protein
Buffer-only controls: Account for buffer component effects
Unrelated membrane protein: Distinguish specific effects from general membrane protein properties
Positive controls:
Known functional domains: If functional motifs are identified, use proteins with established similar activities
Related proteins: Test characterized members of the UPF0344 family if available
Activity standards: Include calibrated standards for quantitative assays
Expression system controls:
Empty vector transformants: Control for host cell background effects
Tag-only constructs: Account for effects of fusion tags
Endotoxin testing: Verify absence of contaminating bacterial components
Genetic manipulation controls:
Complemented knockout strains: Confirm phenotype restoration with wild-type gene
Point mutant series: Include both function-disrupting and function-preserving mutations
Overexpression toxicity controls: Verify phenotypes aren't due to protein burden
These controls ensure that observed effects can be confidently attributed to USA300HOU_0928 function rather than experimental artifacts.
Ensuring experimental reproducibility requires attention to multiple factors:
Protein batch consistency:
Experimental condition standardization:
Buffer composition: Maintain consistent pH, ionic strength, and additive concentrations
Temperature control: Conduct experiments at defined, controlled temperatures
Timing considerations: Standardize incubation times and measurement intervals
Quantification methodologies:
Protein concentration determination: Use multiple methods (Bradford, BCA, A280) for verification
Activity normalization: Normalize results to protein amount or specific activity
Statistical approaches: Implement appropriate statistical tests with adequate replication
Documentation and reporting:
Detailed methods: Document all experimental parameters including reagent sources and lot numbers
Raw data preservation: Maintain complete datasets including controls and replicates
Reagent sharing: Consider depositing plasmids in public repositories for community access
These practices ensure that results with USA300HOU_0928 can be reproduced both within the same laboratory and by independent researchers, advancing collective understanding of this uncharacterized S. aureus protein.