KEGG: sar:SAR0931
SAR0931 is a membrane protein from Staphylococcus aureus classified as an UPF0344 family protein. It consists of 129 amino acids with the sequence: MLHLHILSWVLAIILFIATYLNISKNQGGTPYFKPLHMVLRLFMLLTLISGFWILIQSFM NGGANHMLLTLKMLCGVAVVGLMEVSIAKRKRHEQSHTMFWITIALIIITMVLGVILPLG PISKLFGIG . This protein has a UniProt ID of Q6GIB9 and contains predominantly hydrophobic residues consistent with its predicted transmembrane domains . Analysis of the amino acid sequence suggests it has multiple membrane-spanning regions, characteristic of integral membrane proteins.
E. coli is the most commonly utilized expression system for recombinant SAR0931 production . For optimal expression, the protein is typically fused to an N-terminal His-tag to facilitate purification. The methodology involves:
Cloning the SAR0931 gene into an appropriate expression vector
Transforming the construct into a competent E. coli strain (typically BL21 or derivatives)
Inducing expression under controlled conditions (temperature, IPTG concentration)
Harvesting cells and lysing under conditions that preserve membrane protein integrity
Purifying using Ni-NTA affinity chromatography followed by size exclusion chromatography
Alternative expression systems such as cell-free expression or yeast-based systems may be considered when specific post-translational modifications or higher yields are required.
The purification of His-tagged SAR0931 requires specialized protocols due to its membrane protein nature:
| Step | Procedure | Buffer Composition | Notes |
|---|---|---|---|
| 1 | Cell lysis | 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10% glycerol, protease inhibitors | Sonication or homogenization methods recommended |
| 2 | Membrane extraction | Above buffer + 1-2% detergent (DDM, LDAO, or Triton X-100) | Gentle agitation for 1-2 hours at 4°C |
| 3 | Affinity chromatography | Binding: Above buffer + 0.05% detergent, 10 mM imidazole Elution: Same with 250 mM imidazole | Using Ni-NTA or TALON resin |
| 4 | Size exclusion | 20 mM Tris-HCl pH 7.5, 150 mM NaCl, 0.02% detergent | Superdex 200 or similar column |
| 5 | Concentration | Same as step 4 | Using 30 kDa MWCO concentrators |
After purification, the protein should be stored at -20°C/-80°C with addition of 5-50% glycerol to prevent aggregation during freeze-thaw cycles .
Purified SAR0931 exhibits variable stability depending on storage conditions. Experimental data indicates:
For short-term storage (up to one week), the protein remains stable at 4°C in appropriate buffer conditions .
For long-term storage, maintaining the protein at -20°C/-80°C in the presence of 5-50% glycerol is recommended .
Repeated freeze-thaw cycles significantly reduce protein activity and structural integrity, necessitating aliquoting prior to freezing .
Stability studies indicate that maintaining the protein in a Tris/PBS-based buffer with 6% trehalose at pH 8.0 provides optimal stability during storage . Researchers should monitor protein integrity using SDS-PAGE and activity assays after storage periods to verify maintained functionality.
Multiple complementary approaches can be employed to characterize SAR0931 membrane topology:
Cysteine scanning mutagenesis: Systematically substituting residues with cysteine and assessing accessibility to membrane-impermeable thiol-reactive reagents.
Proteolytic digestion mapping: Limited proteolysis of membrane-embedded protein followed by mass spectrometry analysis of accessible regions.
Fluorescence spectroscopy: Incorporating environment-sensitive fluorophores at specific positions to monitor membrane insertion.
Spin-labeling techniques: Similar to those employed for Na+/K+-ATPase studies, benzoylvinyl nitroxide derivatives can be used to label specific residues, providing advantages over conventional maleimide nitroxide derivatives due to reduced segmental mobility . This approach allows for detailed investigation of protein rotational diffusion using saturation transfer ESR spectroscopy.
Molecular dynamics simulations: In silico prediction of membrane insertion based on hydrophobicity analysis and energy minimization.
These methods should be used in combination to develop a consensus model of SAR0931 topology.
Determining the oligomerization state of membrane proteins like SAR0931 requires specialized techniques:
Chemical cross-linking: Using bifunctional cross-linkers of varying lengths to capture protein-protein interactions, followed by SDS-PAGE and mass spectrometry analysis.
Blue native PAGE: Non-denaturing electrophoresis to preserve native protein complexes.
Analytical ultracentrifugation: Sedimentation velocity and equilibrium experiments with detergent-solubilized protein.
FRET analysis: Labeling protein subunits with donor/acceptor fluorophores to detect proximity-dependent energy transfer.
Saturation transfer ESR spectroscopy: This technique has been successfully applied to study oligomerization of other membrane proteins such as Na+/K+-ATPase, which was found to exist as an (alpha beta)2-diprotomer or higher oligomer in native membranes . The integral of the saturation-transfer spectrum provides sensitive detection of segmental motion compared to line-height ratios .
Single-molecule tracking: Advanced microscopy techniques to observe protein diffusion and clustering in reconstituted systems.
Identification of SAR0931 interaction partners requires multi-faceted experimental strategies:
Co-immunoprecipitation: Using anti-His antibodies to pull down SAR0931 complexes from solubilized membranes.
Bacterial two-hybrid systems: Modified for membrane protein screening.
Label transfer approaches: Using photo-activatable or chemical cross-linkers.
Proximity-dependent biotin identification (BioID): Fusion of SAR0931 with a promiscuous biotin ligase.
Quantitative proteomics: Comparative analysis of protein complexes isolated from wild-type versus SAR0931-deficient strains.
Reconstitution studies: Co-reconstitution of purified SAR0931 with candidate interactors in liposomes or nanodiscs.
Each approach has specific strengths and limitations, necessitating multiple methods to confidently identify physiologically relevant interactions.
Reconstitution of SAR0931 into membrane mimetics requires careful optimization:
| Reconstitution System | Advantages | Limitations | Recommended Protocols |
|---|---|---|---|
| Liposomes | Native-like bilayer environment | Limited control over orientation | Detergent removal via dialysis or Bio-Beads |
| Nanodiscs | Defined size, soluble particles | Complex assembly process | MSP-based assembly with optimized lipid ratios |
| Proteoliposomes | Ability to control internal contents | Heterogeneous size distribution | Extrusion through defined pore size filters |
| Bicelles | Compatible with NMR studies | Limited stability | DMPC/DHPC mixtures with controlled q-ratios |
| Amphipols | Increased stability | Non-native environment | Trapping with A8-35 followed by detergent removal |
For functional studies, researchers should verify protein incorporation using freeze-fracture electron microscopy or fluorescence-based assays. The choice of lipid composition significantly impacts protein stability and activity, with mixtures mimicking S. aureus membrane composition often providing optimal results.
Site-directed spin labeling (SDSL) of SAR0931 can be optimized using approaches similar to those employed for other membrane proteins:
This approach allows for detailed characterization of protein dynamics in membrane environments.
Rigorous experimental controls are critical for reliable functional characterization:
Protein quality controls:
Activity assay controls:
Heat-inactivated protein samples
Competitive inhibitors if known
Empty vesicles/membranes without SAR0931
Specificity controls:
Non-functional mutants (point mutations in predicted active sites)
Related proteins from the same family
Substrate analogs or competitors
Environmental controls:
Buffer composition variations
Temperature dependence studies
pH profiles of activity
Reconstitution efficiency controls:
Protein:lipid ratio quantification
Orientation-specific assays
Freeze-fracture electron microscopy
Each experimental setup requires optimization and validation to ensure reproducibility and physiological relevance.
Investigation of post-translational modifications (PTMs) on SAR0931 requires systematic analytical approaches:
Mass spectrometry-based methods:
Bottom-up proteomics: Enzymatic digestion followed by LC-MS/MS
Top-down proteomics: Analysis of intact protein
Targeted approaches for specific modifications
Modification-specific detection:
Phosphorylation: Pro-Q Diamond staining, phospho-specific antibodies
Glycosylation: Periodic acid-Schiff staining, lectin affinity
Lipidation: Click chemistry with metabolic labeling
Site-directed mutagenesis:
Mutation of predicted modification sites
Functional assessment of mutants
Bioinformatic prediction:
NetPhos for phosphorylation
NetNGlyc/NetOGlyc for glycosylation
GPS-Lipid for lipidation sites
When working with recombinant SAR0931, researchers should consider that E. coli expression systems may not reproduce the native PTM profile found in S. aureus, necessitating comparison with protein isolated from the native organism.
The interaction between SAR0931 and membrane lipids can be investigated using:
Differential scanning calorimetry (DSC): Measures thermotropic phase transitions in lipid membranes containing SAR0931.
Fluorescence anisotropy: Evaluates lipid ordering in the vicinity of the protein.
Deuterium NMR: Provides detailed information on lipid acyl chain dynamics.
Langmuir monolayer techniques: Assesses protein insertion into lipid films.
Saturation transfer ESR spectroscopy: Used in lipid-protein interaction studies with other membrane proteins like Na+/K+-ATPase , this technique can provide insights into the lipid environment surrounding SAR0931.
Atomic force microscopy: Visualizes protein distribution and clustering in supported bilayers.
Lipid mass spectrometry: Identifies specific lipids co-purifying with the protein.
These approaches should be combined to develop a comprehensive model of how SAR0931 interacts with and potentially modifies its lipid environment.
Developing therapeutics targeting SAR0931 requires a systematic approach:
Target validation:
Gene knockout/knockdown studies in S. aureus
Assessment of phenotypic consequences
Determination of essentiality under various conditions
High-throughput screening:
Development of functional assays amenable to HTS
Screening of compound libraries against purified SAR0931
Counter-screening against mammalian homologs to assess selectivity
Structure-based drug design:
Identification of druggable pockets
In silico screening of virtual compound libraries
Fragment-based approaches using NMR or X-ray crystallography
Validation of hits:
Biochemical confirmation of binding
Determination of mechanism of action
Assessment of antibacterial activity against S. aureus strains
Medicinal chemistry optimization:
SAR studies to improve potency and selectivity
Pharmacokinetic and toxicity profiling
Resistance development assessment
This multi-faceted approach maximizes the potential for identifying clinically relevant inhibitors.
Understanding SAR0931's potential role in pathogenicity requires multiple investigative approaches:
Expression analysis:
qPCR quantification under various infection-relevant conditions
Proteomic profiling during host-pathogen interaction
Single-cell studies to assess expression heterogeneity
Mutant phenotyping:
Construction of deletion and conditional mutants
Assessment of virulence in infection models
Analysis of biofilm formation and antibiotic tolerance
Host interaction studies:
Evaluation of immune recognition of SAR0931
Assessment of inflammatory responses
Identification of host targets or receptors
Comparative genomics:
Analysis of sequence conservation across clinical isolates
Identification of variants associated with hypervirulent strains
Evaluation of selection pressure on the SAR0931 gene
These studies can establish whether SAR0931 represents a potential virulence factor or contributes to pathogenicity through other mechanisms.
Systematic analysis of SAR0931 expression patterns reveals:
| Growth Condition | Expression Level | Detection Method | Regulatory Factors |
|---|---|---|---|
| Exponential phase (rich media) | Moderate | RNA-seq, proteomics | Baseline expression |
| Stationary phase | Variable | qPCR, Western blot | Stress response regulators |
| Biofilm growth | Often upregulated | In situ hybridization | Quorum sensing systems |
| Antibiotic exposure | Strain-dependent | Reporter constructs | SOS response pathways |
| Host cell interaction | Dynamic regulation | Dual RNA-seq | Host-induced signals |
| Anaerobic conditions | Generally increased | Proteomics | Redox-sensing regulators |
Expression profiling across clinical isolates shows variable patterns, suggesting strain-specific regulatory mechanisms. Researchers should employ multiple detection methods and standardized growth conditions when comparing expression levels between experiments or studies.