KEGG: sax:USA300HOU_2320
Recombinant Staphylococcus aureus UPF0060 membrane protein USA300HOU_2320 is a full-length (108 amino acids) bacterial membrane protein originally derived from Staphylococcus aureus but recombinantly expressed in E. coli expression systems. The protein features an N-terminal histidine tag to facilitate purification and detection. The amino acid sequence is: MLYPIFIFILAGLCEIGGGYLIWLWLREGQSSLVGLIGGAILMLYGVIATFQSFPSFGRVYAAYGGVFIIMSLIFAMVVDKQMPDKYDVIGAIICIVGVLVMLLPSRA . This protein belongs to the UPF0060 family, which consists of uncharacterized membrane proteins with predicted functions in cellular transport or signaling pathways. The USA300 designation indicates its association with a particular strain of Staphylococcus aureus that has been implicated in community-acquired methicillin-resistant S. aureus (CA-MRSA) infections .
For optimal stability and activity retention of recombinant USA300HOU_2320 protein, researchers should adhere to the following evidence-based storage protocol:
Store the lyophilized powder at -20°C to -80°C upon receipt
Perform aliquoting immediately after reconstitution to prevent protein degradation from repeated freeze-thaw cycles
For working stocks, maintain aliquots at 4°C for up to one week
For long-term storage, add glycerol to a final concentration of 5-50% (with 50% being optimal) and store at -20°C to -80°C
It's recommended to briefly centrifuge the vial before opening to ensure all material is at the bottom of the tube. After reconstitution in deionized sterile water to a concentration of 0.1-1.0 mg/mL, the protein should be stored in a Tris/PBS-based buffer containing 6% Trehalose at pH 8.0 to maintain stability .
Proper reconstitution of USA300HOU_2320 is critical for maintaining protein functionality in experimental applications. Follow this methodological approach:
Centrifuge the vial briefly before opening to bring contents to the bottom
Reconstitute the lyophilized protein in deionized sterile water to achieve a final concentration between 0.1-1.0 mg/mL
For enhanced stability, add glycerol to a final concentration of 5-50% (50% is recommended as standard)
Aliquot the reconstituted protein immediately to prevent degradation from repeated freeze-thaw cycles
Verify protein concentration using standardized methods such as Bradford assay or BCA
The reconstituted protein should appear clear without visible precipitation. If aggregation is observed, gentle vortexing or pipetting may help disperse protein clusters. For applications requiring higher purity, researchers should verify protein quality via SDS-PAGE, which should demonstrate >90% purity for this recombinant preparation .
The membrane protein USA300HOU_2320 can be studied using multiple complementary experimental approaches:
Structural Analysis: Techniques such as X-ray crystallography, cryo-electron microscopy, or NMR spectroscopy can elucidate the three-dimensional structure, particularly useful given its relatively small size (108 amino acids).
Functional Assays: Due to its membrane localization, liposome reconstitution assays or black lipid membrane experiments can assess potential transport or channel functions.
Protein-Protein Interaction Studies: Pull-down assays utilizing the His-tag, co-immunoprecipitation, or yeast two-hybrid screening can identify interaction partners within the bacterial membrane or cytoplasm.
Expression Analysis: qPCR and Western blotting can monitor expression levels under various conditions, such as antibiotic exposure or environmental stressors.
Localization Studies: Immunofluorescence microscopy or fractionation studies can confirm membrane localization and distribution patterns within bacterial cells.
These techniques should be selected based on specific research questions, with experimental designs incorporating true experimental research principles including appropriate controls and randomization to ensure reliable and reproducible results .
To investigate potential roles of USA300HOU_2320 in antibiotic resistance mechanisms, researchers should implement a multi-faceted experimental approach:
Gene Expression Correlation Studies: Design experiments comparing USA300HOU_2320 expression levels in susceptible versus resistant S. aureus strains using RT-qPCR under standardized conditions. This should involve a true experimental research design with proper randomization and controls .
Knockout/Knockdown Phenotype Analysis: Create gene deletion mutants or implement CRISPR-Cas9 knockdown systems to evaluate changes in minimum inhibitory concentration (MIC) profiles across multiple antibiotic classes.
Protein-Antibiotic Interaction Assays: Utilize surface plasmon resonance (SPR) or isothermal titration calorimetry (ITC) with the purified recombinant protein to detect direct binding between USA300HOU_2320 and antibiotic compounds.
Membrane Permeability Assessments: Compare membrane integrity and permeability in wild-type versus USA300HOU_2320-modified strains using fluorescent dyes or radioactively labeled antibiotics.
Structural Modeling: Develop computational models predicting potential antibiotic binding sites or membrane topology alterations that might influence resistance mechanisms.
These approaches should incorporate proper statistical design principles following a Solomon four-group design where appropriate to control for potential confounding variables . Researchers should track relevant strain information, as MRSA has a complex evolutionary history with multiple resistance mechanisms that may interact with membrane protein functions .
Membrane proteins like USA300HOU_2320 present significant challenges for structural studies due to their hydrophobic nature. Researchers should consider these methodological solutions:
Expression System Optimization:
While E. coli is the standard expression system , alternative hosts such as Pichia pastoris or insect cells may provide better folding environments for membrane proteins
Implement inducible expression systems with fine-tuned promoter strength to prevent toxicity from overexpression
Consider fusion partners beyond the His-tag, such as MBP or SUMO, to enhance solubility
Detergent Selection:
Screen multiple detergents (DDM, LDAO, OG) for optimal extraction efficiency
Implement detergent exchange procedures during purification to identify stabilizing conditions
Consider amphipols or nanodiscs for maintaining native-like membrane environments
Crystallization Strategies:
Lipidic cubic phase (LCP) crystallization may be more effective than traditional vapor diffusion methods
In situ crystallization screening with automated imaging systems
Surface entropy reduction mutations to promote crystal contact formation
Alternative Structural Methods:
Cryo-EM single-particle analysis for detergent-solubilized protein
Solid-state NMR for membrane-embedded protein structure
SAXS/SANS for low-resolution envelope determination
Researchers should implement a systematic approach to expression optimization, tracking protein quality at each step using techniques like SEC-MALS, thermal shift assays, and functional validation to ensure that the recombinant protein maintains native conformational properties.
Spaceflight experiments offer unique opportunities to understand bacterial adaptation mechanisms in microgravity environments, which may provide insights into stress responses relevant to antimicrobial resistance. Based on methodologies from previous space-based microbiology experiments, researchers should consider:
Hardware Selection and Validation:
Use specialized containment systems validated for spaceflight conditions
Develop passive temperature control strategies using validated materials like ICE Bricks (10-12°C) for sample preservation during transit
Implement oxygen-permeable growth systems to avoid hypoxic conditions that can compromise experiments
Experimental Design Considerations:
Analytical Approaches:
Transcriptomic analysis to measure USA300HOU_2320 expression changes in microgravity
Proteomic profiling to detect post-translational modifications or abundance changes
Membrane fluidity assessments to determine structural adaptations in the bacterial membrane
Data Analysis Framework:
Implement matched population thresholds (>45,000 cells per sample) to ensure sufficient material for post-flight analysis
Develop comparative analysis workflows between flight and ground control samples
Correlate USA300HOU_2320 expression patterns with phenotypic changes in antibiotic susceptibility
Researchers should validate experimental timings and conditions through ground-based simulations before actual spaceflight implementation, accounting for the unique challenges of conducting biological research in space .
Mapping the protein-protein interaction network for USA300HOU_2320 requires a multi-method approach:
Proximity-based Labeling:
BioID or APEX2 fusion constructs to identify proximal proteins in the native membrane environment
Crosslinking mass spectrometry (XL-MS) to capture direct binding partners
Split protein complementation assays to validate specific interactions
Systems-level Approaches:
Bacterial two-hybrid screening against comprehensive S. aureus genomic libraries
Co-immunoprecipitation followed by mass spectrometry (Co-IP-MS)
Quantitative SILAC proteomics comparing wild-type and USA300HOU_2320 knockout strains
Bioinformatic Prediction and Validation:
Use structural homology and co-expression patterns to predict interaction partners
Implement network analysis algorithms to identify hub proteins and functional modules
Validate predictions with targeted binary interaction assays
Functional Correlation Studies:
Epistasis analysis between USA300HOU_2320 and candidate genes
Co-localization studies using fluorescently tagged proteins
Phenotypic convergence analysis of respective mutants
This comprehensive mapping approach would help place USA300HOU_2320 within the broader context of S. aureus biology, potentially revealing its role in virulence, antibiotic resistance, or membrane homeostasis pathways .
When designing antimicrobial screening assays incorporating USA300HOU_2320 protein, researchers should optimize conditions according to these methodological guidelines:
Buffer Composition:
Protein Concentration Determination:
Assay Format Selection:
Liposome reconstitution for transport assays
Surface plasmon resonance for direct binding studies
Thermal shift assays for compound binding validation
Control Implementation:
Include known membrane protein inhibitors as positive controls
Use denatured protein preparations as negative controls
Implement statistical validation through Z-factor determination
Data Analysis Framework:
Apply dose-response modeling for hit compounds
Implement correction factors for compound intrinsic fluorescence or aggregation
Cross-validate hits through orthogonal assay formats
Researchers should conduct preliminary validation experiments to determine assay reproducibility and sensitivity before proceeding to large-scale screening, following true experimental research design principles with appropriate randomization and controls .
Distinguishing genuine functional effects from artifacts when studying membrane proteins requires rigorous control experiments and methodological considerations:
Expression Level Control:
Implement tunable expression systems to test dose-dependent effects
Create calibration curves relating expression levels to observed phenotypes
Use Western blotting with quantitative standards to normalize protein levels across experiments
Genetic Complementation:
Perform rescue experiments with wild-type protein in knockout backgrounds
Introduce point mutations in functional domains to create separation-of-function alleles
Use heterologous expression systems to validate phenotypes in different genetic backgrounds
Membrane Integrity Verification:
Monitor membrane potential using voltage-sensitive dyes
Measure non-specific leakage with fluorescent tracers of different sizes
Assess lipid organization using fluorescent lipid probes
Control Protein Implementation:
Include structurally similar but functionally distinct membrane proteins as controls
Use scrambled or reverse-sequence protein variants as negative controls
Implement temperature-sensitive alleles to enable temporal control of protein function
Statistical Validation:
By systematically addressing these potential sources of artifacts, researchers can more confidently attribute observed effects to USA300HOU_2320 function rather than experimental variables or non-specific membrane perturbations.
Computational approaches offer valuable insights for predicting functional domains within USA300HOU_2320, enabling more targeted experimental designs:
Transmembrane Topology Prediction:
Apply multiple prediction algorithms (TMHMM, Phobius, HMMTOP) and develop consensus models
Validate predictions through site-directed reporter fusion experiments
Create topological maps identifying potential functional loops and domains
Evolutionary Analysis:
Perform multiple sequence alignment across diverse bacterial species
Identify conserved residues through evolutionary trace analysis
Calculate selection pressure (dN/dS ratios) across the protein to identify functionally constrained regions
Structural Modeling:
Generate homology models based on structurally characterized membrane proteins
Perform molecular dynamics simulations in explicit membrane environments
Identify potential ligand binding pockets using computational docking
Functional Domain Prediction:
Search for known functional motifs using pattern recognition algorithms
Implement machine learning approaches trained on characterized membrane proteins
Apply covariation analysis to identify co-evolving residue networks
Integration with Experimental Data:
Incorporate accessibility data from cysteine scanning or limited proteolysis
Validate predictions through site-directed mutagenesis of key residues
Develop testable hypotheses for domain functions based on computational predictions
These computational approaches should be integrated to develop a comprehensive functional map of USA300HOU_2320, prioritizing regions for experimental characterization and guiding the design of targeted functional assays.
To generate reliable results when investigating USA300HOU_2320 in antibiotic resistance contexts, researchers should implement these methodological best practices:
Experimental Design Selection:
Control Implementation:
Include isogenic control strains differing only in USA300HOU_2320 status
Implement vector-only controls for recombinant expression studies
Use wild-type complementation to confirm phenotype restoration
Environmental Standardization:
Standardize growth conditions (media composition, temperature, growth phase)
Control for oxygen availability, which can affect membrane protein expression
Maintain consistent antibiotic preparation and storage protocols
Measurement Standardization:
Use standardized antibiotic susceptibility testing methods (CLSI or EUCAST guidelines)
Implement blinded assessment for subjective measurements
Include internal standards for quantitative assays
Statistical Analysis Framework:
Determine appropriate sample sizes through power analysis
Apply suitable statistical tests based on data distribution
Control for multiple comparisons when screening multiple antibiotics
Replication Structure:
Include both biological and technical replicates
Verify key findings across different S. aureus strain backgrounds
Validate results using complementary methodological approaches
This comprehensive approach aligns with the principles of true experimental research design while acknowledging the specific challenges of studying membrane proteins in antibiotic resistance contexts .
Integrating USA300HOU_2320 research into broader MRSA pathogenicity studies requires a systematic approach:
Contextual Expression Analysis:
Compare USA300HOU_2320 expression across diverse clinical isolates with varying virulence profiles
Analyze expression during different infection stages (adherence, invasion, persistence)
Correlate expression patterns with specific virulence phenotypes
Genetic Interaction Mapping:
Perform double-knockout experiments with known virulence factors
Implement transposon-sequencing (Tn-seq) in USA300HOU_2320 mutant backgrounds
Identify synthetic phenotypes that emerge only in specific genetic contexts
Host-Pathogen Interaction Studies:
Evaluate USA300HOU_2320 mutant phenotypes in cellular infection models
Analyze effects on host immune response activation
Assess contributions to intracellular survival within phagocytic cells
Multi-omics Integration:
Combine transcriptomics, proteomics, and metabolomics data
Develop network models incorporating USA300HOU_2320 functions
Identify regulatory relationships between USA300HOU_2320 and virulence gene expression
Translational Applications:
Evaluate USA300HOU_2320 as a potential biomarker for virulent MRSA strains
Assess its potential as a therapeutic target in combination with conventional antibiotics
Investigate evolutionary patterns in clinical isolates with varying USA300HOU_2320 sequences
This integrated approach recognizes that MRSA pathogenicity involves complex adaptive mechanisms , with membrane proteins potentially playing roles in multiple virulence-related processes beyond simple antibiotic resistance.
Ensuring reproducible results with recombinant USA300HOU_2320 requires stringent quality control at multiple experimental stages:
Researchers should:
Document all quality control results in a standardized format
Implement a minimum acceptable criteria checklist before proceeding to experiments
Store reference samples from each production batch for comparison
Validate protein stability under experimental conditions before use
Include positive control proteins of known quality in experimental workflows
These quality control measures ensure that observed experimental outcomes can be attributed to genuine biological properties of USA300HOU_2320 rather than technical variability in protein preparation .
Future research on USA300HOU_2320 membrane protein should focus on several promising directions:
Structural Biology Frontiers:
Complete high-resolution structure determination using advanced cryo-EM techniques
Map conformational dynamics through hydrogen-deuterium exchange mass spectrometry
Characterize lipid-protein interactions that influence function
Systems Biology Integration:
Define the complete interactome of USA300HOU_2320 in multiple growth conditions
Map its position within membrane protein networks affecting antibiotic resistance
Develop predictive models for membrane adaptation under antibiotic pressure
Translational Applications:
Evaluate USA300HOU_2320 as a potential drug target for novel anti-MRSA therapeutics
Investigate its utility as a biomarker for specific MRSA lineages
Develop antibodies or aptamers targeting exposed epitopes for diagnostic applications
Evolutionary Perspectives:
Characterize sequence variation across diverse S. aureus clinical isolates
Investigate horizontal gene transfer patterns involving the genomic region
Assess functional conservation across related membrane proteins in other pathogens
Methodological Advancements:
Develop improved expression systems for membrane protein production
Implement advanced imaging techniques for visualizing USA300HOU_2320 in native contexts
Create biosensor applications based on USA300HOU_2320 functional properties
These research directions will contribute to our understanding of membrane protein biology in pathogenic bacteria while potentially yielding new approaches to address the growing challenge of antibiotic resistance in S. aureus .
The study of USA300HOU_2320 contributes significantly to our understanding of bacterial membrane proteins through multiple dimensions:
Structural Insights: As a member of the UPF0060 family of uncharacterized membrane proteins, structural characterization of USA300HOU_2320 would illuminate folding patterns and topological arrangements potentially shared across diverse bacterial species, expanding our fundamental knowledge of membrane protein architecture.
Functional Paradigms: Elucidating the function of USA300HOU_2320 may reveal novel membrane protein roles in cellular processes, potentially identifying new functional paradigms relevant to other bacterial systems.
Methodological Advancements: Technical challenges overcome during USA300HOU_2320 studies (expression, purification, reconstitution) can inform approaches for other difficult membrane proteins, contributing to methodological improvements in the field.
Evolutionary Perspective: Comparative analysis of USA300HOU_2320 homologs across different bacterial species provides insights into membrane protein evolution and adaptation, particularly in the context of antibiotic exposure.
Pathogen Biology: Understanding USA300HOU_2320's role in S. aureus specifically contributes to our knowledge of how membrane proteins influence pathogenicity, virulence, and antibiotic resistance mechanisms in clinically relevant bacteria .
These contributions extend beyond S. aureus biology, offering broader implications for membrane protein research across diverse bacterial systems and potentially informing therapeutic strategies targeting this important class of proteins.
The following protocol is recommended for high-yield expression and purification of USA300HOU_2320 for structural studies:
Bacterial Strain Selection:
Culture Conditions:
Grow in Terrific Broth supplemented with appropriate antibiotic
Incubate at 37°C until OD600 reaches 0.6-0.8
Induce with 0.5 mM IPTG
Shift temperature to 18°C for 16-18 hours to promote proper folding
Cell Harvest:
Collect cells by centrifugation (5,000 × g, 15 min, 4°C)
Wash once with phosphate buffer
Store pellet at -80°C or proceed to purification
Cell Lysis:
Resuspend cells in lysis buffer (50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10% glycerol, protease inhibitors)
Disrupt by sonication or high-pressure homogenization
Add detergent (recommended: 1% DDM) and stir for 1 hour at 4°C
Initial Purification:
Clear lysate by centrifugation (100,000 × g, 1 hour, 4°C)
Apply supernatant to Ni-NTA column equilibrated with buffer containing 0.05% DDM
Wash with 20-50 mM imidazole
Elute with 250-300 mM imidazole gradient
Secondary Purification:
Perform size exclusion chromatography using Superdex 200 column
Use running buffer containing 0.05% DDM, 150 mM NaCl, 20 mM Tris-HCl pH 8.0
Quality Assessment:
Storage: