KEGG: sao:SAOUHSC_01978
STRING: 93061.SAOUHSC_01978
For recombinant production of SAOUHSC_01978, E. coli expression systems are most commonly employed in research settings. When expressing this membrane protein, several methodological considerations are important:
Vector selection: Vectors containing strong inducible promoters (e.g., T7) with His-tag fusion capabilities are typically used
Culture conditions: Growth at lower temperatures (16-25°C) after induction to allow proper folding
Induction protocols: IPTG concentration optimization (0.1-1.0 mM) with extended expression times (16-24 hours)
Cell lysis: Methods compatible with membrane proteins, such as French press or sonication with detergent-containing buffers
This approach has been demonstrated to yield functional protein suitable for downstream applications including structural studies and functional assays .
SAOUHSC_01978 requires specific storage conditions to maintain structural integrity and function. The recommended protocol includes:
| Storage Form | Temperature | Buffer Composition | Additional Agents | Duration |
|---|---|---|---|---|
| Lyophilized | -20°C to -80°C | N/A | N/A | 12+ months |
| Reconstituted | 4°C | Tris-based buffer, pH 8.0 | 6% Trehalose | 1 week |
| Long-term solution | -20°C to -80°C | Tris-based buffer | 50% Glycerol | 6+ months |
For optimal stability, it is recommended to reconstitute the lyophilized protein to a concentration of 0.1-1.0 mg/mL using deionized sterile water. Repeated freeze-thaw cycles should be strictly avoided as they significantly compromise protein integrity. For working aliquots, storage at 4°C is sufficient for up to one week .
Solubilization and purification of membrane proteins like SAOUHSC_01978 present unique challenges requiring specialized approaches:
Membrane Extraction and Solubilization Protocol:
Harvest cells expressing His-tagged SAOUHSC_01978 by centrifugation (5,000 × g, 15 min, 4°C)
Resuspend in lysis buffer (typically 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10% glycerol, 1 mM PMSF, protease inhibitor cocktail)
Disrupt cells via sonication or French press (at least 3 cycles)
Remove unbroken cells and debris (10,000 × g, 20 min, 4°C)
Ultracentrifuge supernatant (100,000 × g, 1 hour, 4°C) to isolate membrane fraction
Solubilize membrane pellet using detergent screening approach:
| Detergent Class | Examples | Working Concentration | Effectiveness |
|---|---|---|---|
| Mild non-ionic | DDM, LMNG | 1-2% for solubilization, 0.02-0.05% for purification | High yield, maintains structure |
| Zwitterionic | LDAO, Fos-choline | 1-2% | High extraction but potential denaturation |
| Peptide-based | CHAPS, Digitonin | 0.5-1% | Moderate yield, good for activity studies |
Perform affinity chromatography using Ni-NTA resin with step gradient elution (20-500 mM imidazole)
Consider size exclusion chromatography as a polishing step
This methodological approach typically yields >90% pure protein as determined by SDS-PAGE, suitable for structural and functional studies .
Determining the membrane topology and orientation of SAOUHSC_01978 requires multiple complementary experimental approaches:
Computational Prediction:
First employ hydropathy analysis and topology prediction algorithms (TMHMM, Phobius, TopPred) to generate initial models of transmembrane regions.
Experimental Validation Methods:
Cysteine Scanning Mutagenesis:
Create single-cysteine variants throughout protein sequence
Perform membrane-impermeant/permeant thiol labeling assays
Quantify accessibility to determine cytoplasmic vs. periplasmic exposure
Fluorescence Protease Protection Assay:
Generate GFP fusion constructs at N and C termini
Treat intact and permeabilized cells with proteases
Monitor fluorescence loss to determine protection by membrane
SCAM (Substituted Cysteine Accessibility Method):
Substitute residues with cysteines incrementally
Apply membrane-permeable and impermeable thiol reagents
Detect modification patterns by mass spectrometry
Integrating data from these approaches provides a comprehensive model of SAOUHSC_01978 topology, essential for understanding structure-function relationships and designing targeted functional studies .
The influence of lipid environment on SAOUHSC_01978 folding and function can be investigated through systematic lipid composition studies:
Reconstitution in Defined Lipid Systems:
Extract purified protein in detergent micelles
Reconstitute into proteoliposomes with varying lipid compositions:
Phospholipid headgroup variation (PC, PE, PG, PS)
Acyl chain length and saturation
Cholesterol/ergosterol content
Bacterial-specific lipids (cardiolipin)
Biophysical Characterization Methods:
Circular dichroism (CD) to assess secondary structure
Fluorescence spectroscopy for tertiary structure changes
Differential scanning calorimetry (DSC) for thermal stability
Atomic force microscopy (AFM) for membrane organization
Functional Activity Assessment:
Develop specific activity assays based on predicted function
Compare activity metrics across lipid environments
Research in membrane protein folding indicates that matching the native lipid environment of S. aureus membranes (higher proportion of PG, cardiolipin, and branched-chain fatty acids) significantly improves stability and functional properties of bacterial membrane proteins compared to standard phosphatidylcholine-based systems .
Structural determination of membrane proteins like SAOUHSC_01978 requires specialized crystallization approaches:
Crystallization Strategies for SAOUHSC_01978 and Similar Membrane Proteins:
Detergent-Based Methods:
Vapor diffusion with detergent-solubilized protein (sitting or hanging drop)
Systematic screening of:
Detergent types (maltosides, glucosides, neopentyl glycols)
Detergent concentrations slightly above CMC
Precipitants compatible with detergents (PEGs, ammonium sulfate)
pH range 5.5-8.5
Lipidic Cubic Phase (LCP) Crystallization:
Mix protein-detergent solution with monoolein or related lipids
Form LCP matrix through which protein can organize
Screen precipitant solutions for crystal formation
Optimize temperature (typically 18-22°C)
Crystallization Enhancers:
Antibody fragments (Fab, nanobody) to increase polar surface area
Fusion partners (T4 lysozyme, BRIL) to aid crystal contacts
Thermostabilizing mutations to reduce conformational heterogeneity
Optimization Strategies:
Additive screening (small molecules, ions, lipids)
Controlled dehydration protocols
Seeding techniques (micro- and macroseeding)
These approaches have yielded successful structures for bacterial membrane proteins with similar properties to SAOUHSC_01978, though each protein typically requires customized optimization .
To determine the functional role of SAOUHSC_01978 in S. aureus pathogenicity, a multi-pronged experimental approach is recommended:
Genetic Manipulation Studies:
Generate precise deletion mutants (Δsaouhsc_01978) in S. aureus
Create complementation strains with wild-type and mutant variants
Perform phenotypic assays:
Growth curves under various stress conditions
Biofilm formation quantification
Antibiotic susceptibility testing
Host cell adhesion and invasion assays
Protein-Protein Interaction Analysis:
Bacterial two-hybrid screening
Pull-down assays with purified His-tagged SAOUHSC_01978
Mass spectrometry identification of binding partners
Co-immunoprecipitation from native membrane extracts
Transcriptomic and Proteomic Comparisons:
RNA-seq analysis of wild-type vs. deletion strains
Quantitative proteomics to identify affected pathways
Metabolomic profiling to detect physiological changes
Infection Models:
Cell culture infection assays with wild-type and mutant strains
Animal infection models to assess virulence differences
Immune response profiling during infection
This comprehensive functional characterization workflow would provide insights into the molecular mechanisms by which SAOUHSC_01978 contributes to S. aureus biology and pathogenicity, potentially revealing new therapeutic targets .
When investigating potential protein-protein interactions involving SAOUHSC_01978, implementing robust controls is essential for data interpretation:
Essential Controls for Interaction Studies:
Negative Controls:
Empty vector/tag-only controls to identify non-specific binding
Irrelevant membrane protein from same organism with similar properties
Heat-denatured SAOUHSC_01978 to distinguish specific from non-specific interactions
Competitive binding with excess unlabeled protein
Positive Controls:
Known membrane protein interaction pairs from S. aureus
Artificially engineered interacting domains as technical validation
Detergent/Lipid Environment Controls:
Parallel experiments with multiple detergent types/concentrations
Reconstitution in proteoliposomes of varying composition
Native membrane extract validations
Data Validation Approaches:
| Interaction Method | Primary Control | Secondary Validation |
|---|---|---|
| Pull-down assays | Tag-only bait | Reverse pull-down, mass spec confirmation |
| Crosslinking | Non-crosslinked sample | Mutated interaction interface |
| FRET/BRET | Donor/acceptor only | Distance-dependent signal verification |
| Surface plasmon resonance | Blank surface, irrelevant protein | Concentration-dependent kinetics |
Implementation of these controls ensures that observed interactions are physiologically relevant rather than artifacts of the experimental system .
Obtaining sufficient quantities of properly folded SAOUHSC_01978 for structural studies requires optimized expression and purification strategies:
Enhanced Expression Approaches:
Expression System Optimization:
Test multiple E. coli strains (BL21(DE3), C41/C43, Rosetta, Lemo21)
Evaluate alternative expression hosts (insect cells, yeast)
Develop cell-free expression systems with preformed nanodiscs
Construct Engineering:
Codon optimization for expression host
N- and C-terminal truncations to remove flexible regions
Fusion partners to enhance solubility (MBP, SUMO, Mistic)
Introduce thermostabilizing mutations based on homology modeling
Culture Condition Optimization:
| Parameter | Range to Test | Monitoring Method |
|---|---|---|
| Temperature | 16-30°C | Growth curve, expression yield |
| Inducer concentration | 0.1-1.0 mM IPTG | Western blot quantification |
| Media composition | LB, TB, autoinduction | Final cell density, protein yield |
| Induction timing | Early, mid, late log phase | Expression level per cell |
Purification Enhancements:
Tandem affinity tags (His6-MBP or His6-FLAG) for improved purity
On-column detergent exchange during affinity chromatography
Size exclusion chromatography with scattering detection (SEC-MALS)
Lipid nanodisc or amphipol exchange for improved stability
These strategies have been successfully applied to challenging membrane proteins and can significantly improve yields (10-20 fold) and homogeneity of SAOUHSC_01978 preparations suitable for structural studies .
Computational prediction of SAOUHSC_01978 function can be accomplished through a multi-level bioinformatics approach:
Sequence-Based Analysis:
PSI-BLAST and HHpred for remote homology detection
Conserved domain identification (InterPro, Pfam, CDD)
Motif scanning for functional signatures (PROSITE, PRINTS)
Multiple sequence alignment with UPF0754 family members
Evolutionary analysis (conservation patterns, selective pressure)
Structural Prediction:
Ab initio and template-based 3D structure prediction (AlphaFold2, RoseTTAFold)
Transmembrane topology prediction (TMHMM, TOPCONS)
Binding site prediction (SiteMap, FTMap)
Molecular dynamics simulations in membrane environment
Electrostatic potential mapping to identify functional regions
Integrative Approaches:
Genomic context analysis (operon structure, co-regulation patterns)
Phylogenetic profiling to identify co-evolving partners
Gene expression correlation analysis from S. aureus transcriptome data
Protein-protein interaction network prediction
Pathway enrichment analysis of potential interactors
The integration of these computational approaches provides testable hypotheses about SAOUHSC_01978 function, which can then be validated through targeted experimental approaches. Recent advances in machine learning methods for protein function prediction have significantly improved the accuracy of such computational pipelines .
Purification of membrane proteins like SAOUHSC_01978 presents several technical challenges that researchers frequently encounter:
Common Challenges and Solutions:
Low Expression Yields:
Challenge: Membrane protein overexpression often leads to toxicity and inclusion body formation
Solutions:
Use specialized expression strains (C41/C43)
Employ weaker promoters or leaky expression
Lower induction temperature (16-20°C)
Add chemical chaperones (5% glycerol, 0.5M sorbitol) to culture medium
Protein Aggregation During Solubilization:
Challenge: Ineffective detergent extraction leads to protein aggregation
Solutions:
Systematic detergent screening (start with DDM, LMNG, GDN)
Include stabilizing additives (glycerol, cholesterol hemisuccinate)
Adjust ionic strength and pH of extraction buffer
Consider using mild extraction (native nanodiscs)
Detergent-Induced Destabilization:
Challenge: Loss of activity or structure during purification
Solutions:
Perform activity assays at each purification step
Transition to more stable environments (amphipols, nanodiscs)
Include specific lipids essential for stability
Minimize purification duration and keep samples at 4°C
Heterogeneity in Final Preparations:
Challenge: Multiple oligomeric states or conformations
Solutions:
Employ analytical SEC and SEC-MALS to assess homogeneity
Use thermal stability assays to optimize buffer conditions
Employ GraFix (gradient fixation) for structural studies
Consider mutagenesis to stabilize preferred conformations
These troubleshooting approaches can significantly improve the quality and quantity of purified SAOUHSC_01978, supporting downstream structural and functional studies .
Isotope labeling of SAOUHSC_01978 for NMR studies requires specialized protocols to achieve sufficient incorporation while maintaining protein folding:
Comprehensive Isotope Labeling Strategy:
Uniform Labeling Approach:
Grow E. coli in M9 minimal media containing:
15NH4Cl as sole nitrogen source (1-2 g/L)
13C-glucose as carbon source (2-4 g/L)
Trace metal supplement (including zinc, iron, manganese)
Implement extended growth protocols (lower temperature, longer incubation)
Typically yields 30-50% of rich media expression levels
Selective Amino Acid Labeling:
Use auxotrophic E. coli strains or metabolic inhibition
Supplement minimal media with specific labeled amino acids
Particularly useful for methyl-directed studies (Ile, Leu, Val)
Implementation of SAIL (Stereo-Array Isotope Labeling) for side chain analysis
Segmental Labeling for Large Proteins:
Employ split-intein approaches for domain-specific labeling
Express domains separately with compatible intein fragments
Reconstitute full-length protein through trans-splicing reaction
Sample Preparation Considerations:
Use deuterated detergents to reduce background signals
Consider nanodiscs with deuterated lipids for native-like environment
Optimize protein concentration (typically 0.3-0.8 mM)
Develop stabilization protocols for multi-day NMR experiments
These methodologies enable detailed structural characterization of membrane proteins like SAOUHSC_01978 using solution NMR approaches, providing insights into dynamics and ligand interactions not accessible through crystallography .
Distinguishing the specific functions of SAOUHSC_01978 from related membrane proteins requires a systematic comparative approach:
Comprehensive Phylogenetic Profiling:
Construct detailed phylogenetic trees of UPF0754 family members
Analyze co-evolution patterns with other functional partners
Identify conserved vs. variable regions across bacterial species
Map evolutionary changes to protein structural elements
Differential Expression Analysis:
Perform RNA-seq under various growth conditions and stressors
Compare expression patterns of SAOUHSC_01978 with related proteins
Identify condition-specific regulation suggesting specialized functions
Analyze promoter regions for unique regulatory elements
Cross-Complementation Studies:
Generate deletion mutants of SAOUHSC_01978 and related proteins
Perform reciprocal complementation with heterologous expression
Assess restoration of phenotypes to identify unique vs. redundant functions
Test chimeric proteins with domain swapping between family members
Interactome Mapping:
Conduct parallel interaction studies (BioID, proximity labeling)
Compare binding partners using quantitative proteomics
Identify unique vs. shared protein-protein interactions
Validate specific interactions through direct binding studies
Localization and Dynamics Comparison:
Perform fluorescent protein tagging of family members
Observe subcellular localization during different growth phases
Assess membrane dynamics using FRAP and single-molecule tracking
Correlate localization patterns with cell division or specialized structures
These comparative approaches can effectively delineate the specific functions of SAOUHSC_01978 from those of related membrane proteins, revealing its unique contribution to S. aureus physiology and potentially uncovering novel therapeutic targets .
Cryo-electron microscopy (cryo-EM) offers unique advantages for membrane protein structural studies but requires optimization for proteins like SAOUHSC_01978:
Cryo-EM Optimization Strategy:
Sample Preparation Refinement:
Test multiple membrane mimetics:
Detergent micelles (LMNG, GDN)
Nanodiscs with varied lipid compositions
Amphipols (A8-35, PMAL-C8)
Reconstitution in liposomes for subtomogram averaging
Optimize protein concentration (typically 1-5 mg/mL)
Screen grid types (Quantifoil, C-flat) and hole sizes
Evaluate glow discharge vs. plasma cleaning parameters
Vitrification Parameter Optimization:
| Parameter | Variables to Test | Effect on Results |
|---|---|---|
| Blotting time | 2-8 seconds | Ice thickness |
| Blotting force | -1 to -15 units | Sample distribution |
| Chamber humidity | 80-100% | Evaporation rate |
| Grid temperature | 4-22°C | Protein adsorption |
Particle Enhancement Strategies:
Addition of Fab fragments to increase protein size
Chemical crosslinking to stabilize complexes
Incorporation of fiducial markers for subtomogram averaging
GraFix method for increased stability and contrast
Data Collection Optimization:
Detector settings (counting vs. super-resolution modes)
Defocus range determination (-0.8 to -3.0 μm)
Exposure rate optimization (beam-induced motion management)
Tilt series parameters for tomography applications
These optimizations can significantly improve the resolution and reliability of cryo-EM structures for challenging membrane proteins like SAOUHSC_01978, potentially revealing functional mechanisms and interaction interfaces crucial for understanding its biological role .
NMR spectroscopy offers unique insights into membrane protein dynamics that complement static structural methods. For SAOUHSC_01978, the following NMR experiments are particularly informative:
Backbone Dynamics Assessment:
15N relaxation measurements (T1, T2, heteronuclear NOE)
CPMG relaxation dispersion for μs-ms timescale motions
Hydrogen-deuterium exchange for solvent accessibility
TROSY-based experiments for improved sensitivity
Side Chain Dynamics Analysis:
Methyl-TROSY for dynamics of Ile, Leu, Val residues
Deuteration with selective protonation strategies
13C relaxation measurements of aromatic side chains
2H quadrupolar relaxation for methyl group dynamics
Membrane Topology Studies:
Paramagnetic relaxation enhancement with spin labels
Solvent PRE effects for surface mapping
Transferred cross-saturation for interaction interfaces
Solid-state NMR approaches for reconstituted samples
Real-time Kinetic Studies:
| NMR Approach | Timescale | Application for SAOUHSC_01978 |
|---|---|---|
| SOFAST-HMQC | Seconds | Ligand binding, pH-induced changes |
| CEST/R1ρ | Milliseconds | Conformational exchange processes |
| CPMG | Microseconds | Allosteric mechanisms |
| Relaxation analysis | Nanoseconds | Local mobility, flexible regions |
These NMR methods provide detailed information about the conformational landscape and dynamic behavior of SAOUHSC_01978, offering insights into its functional mechanisms that may not be apparent from static structural studies. Integration of multiple NMR approaches allows mapping of dynamics across different timescales relevant to biological function .
Understanding SAOUHSC_01978's potential role in antibiotic resistance mechanisms represents an important research frontier with several promising directions:
Resistance Phenotype Correlation:
Compare expression levels across antibiotic-resistant S. aureus clinical isolates
Conduct systematic gene knockout studies followed by MIC determination
Perform overexpression analysis to identify potential resistance enhancement
Correlate structural variations with resistance profiles across strains
Membrane Permeability Studies:
Investigate SAOUHSC_01978's impact on membrane composition and organization
Measure antibiotic penetration rates in wildtype vs. mutant strains
Assess changes in membrane potential and electrochemical gradients
Examine interactions with membrane-targeting antibiotics
Stress Response Integration:
Analyze transcriptional co-regulation with known resistance determinants
Investigate post-translational modifications under antibiotic stress
Assess SAOUHSC_01978 localization changes during antibiotic challenge
Determine contribution to cell envelope stress response pathways
Efflux System Interaction:
Evaluate physical and functional coupling with known efflux transporters
Measure antibiotic accumulation in presence/absence of SAOUHSC_01978
Investigate energetic contributions to efflux activity
Assess effects on proton motive force maintenance
These research directions, pursued through integrated multidisciplinary approaches, hold significant promise for uncovering SAOUHSC_01978's role in antibiotic resistance and potentially identifying novel therapeutic targets to address the growing challenge of resistant S. aureus infections .
Development of high-throughput screening (HTS) approaches for SAOUHSC_01978 modulators requires specialized methodologies for membrane protein targets:
HTS Strategy Development:
Assay Development Considerations:
Target-based vs. phenotypic screening approaches
Development of function-specific biochemical assays
Reporter systems for indirect activity measurement
Thermal shift assays for binding detection
Screening Platform Design:
| Assay Type | Readout | Advantages | Technical Considerations |
|---|---|---|---|
| Fluorescence polarization | Binding kinetics | Direct interaction measurement | Requires fluorescent ligand or probe |
| Surface plasmon resonance | Label-free binding | Real-time kinetics | Requires protein immobilization |
| Cellular reporter systems | Functional modulation | Physiological context | Indirect readout, validation needed |
| Thermal stability shift | Binding-induced stabilization | Minimal protein requirements | Non-specific stabilizers possible |
Compound Library Considerations:
Fragment-based approaches for membrane protein targets
Natural product collections enriched in membrane-active compounds
Focused libraries based on bacterial physiology
Diversity-oriented synthesis collections for novel scaffolds
Validation Pipeline Development:
Secondary assays for mechanism confirmation
Counter-screening against related proteins
Resistance development assessment
Structure-activity relationship studies
Medicinal chemistry optimization pathway