KEGG: sma:SAVERM_1365
STRING: 227882.SAV_1365
Recombinant UPF0678 fatty acid-binding protein-like protein SAV_1365 can be successfully expressed in multiple host systems, each offering distinct advantages. E. coli and yeast expression systems typically provide the highest yields and shortest turnaround times, making them suitable for initial characterization studies or when large quantities are required. For applications requiring proper post-translational modifications or maintenance of specific protein activities, insect cells with baculovirus or mammalian cell expression systems are recommended despite their lower yields . When selecting an expression system, researchers should consider the downstream applications and whether native folding and post-translational modifications are critical for the intended experiments.
Optimizing SAV_1365 expression requires balancing yield with proper protein folding. For E. coli-based expression, consider these methodological approaches:
Temperature modulation: Lower induction temperatures (16-25°C) often improve proper folding
Induction optimization: Test various IPTG concentrations (0.1-1.0 mM) and induction times
Co-expression with chaperones: Molecular chaperones like GroEL/GroES can facilitate proper folding
Fusion tags selection: Solubility-enhancing tags (MBP, SUMO, or TrxA) may improve folding
For eukaryotic expression systems, consider optimizing transfection conditions, harvest timing, and media supplementation with lipids that might facilitate proper folding of this fatty acid-binding protein. Similar techniques have been successfully applied to other recombinant proteins, as demonstrated in surface display methodologies .
A multi-step purification strategy is recommended for SAV_1365:
Initial capture: Affinity chromatography using an appropriate tag (His, GST, etc.)
Intermediate purification: Ion exchange chromatography based on the protein's theoretical pI
Polishing: Size exclusion chromatography to remove aggregates and achieve high purity
For fatty acid-binding proteins like SAV_1365, it's critical to monitor ligand binding capacity throughout purification, as binding activity can be compromised during purification steps. Consider implementing activity assays between purification steps to ensure the final product retains its fatty acid binding functionality. Purification under reducing conditions may be necessary to maintain the correct structural conformation, similar to approaches used for other functional proteins .
To confirm proper folding and activity of purified SAV_1365, employ a combination of structural and functional analyses:
Structural Analysis:
Circular dichroism (CD) spectroscopy to assess secondary structure content
Thermal shift assays to determine protein stability
Dynamic light scattering (DLS) to evaluate homogeneity and detect aggregation
Limited proteolysis to verify compact folding
Functional Analysis:
Fatty acid binding assays using fluorescent probes (ANS, DAUDA)
Isothermal titration calorimetry (ITC) to determine binding constants
Fluorescence displacement assays to measure ligand specificity
These approaches should be used complementarily as structural integrity doesn't always guarantee functional activity. For fatty acid-binding proteins, binding assays are particularly important to confirm that the recombinant protein maintains its native functionality after purification, similar to methodologies used to analyze other fatty acid binding proteins .
To determine the fatty acid binding profile of SAV_1365, implement a systematic approach:
Competitive binding assays: Using a fluorescently labeled fatty acid as a reporter ligand, measure displacement by various unlabeled fatty acids to determine relative binding affinities.
Direct binding measurements:
| Method | Data Obtained | Advantages |
|---|---|---|
| Isothermal Titration Calorimetry | Binding constants, stoichiometry, enthalpy | Label-free, direct measurement |
| Surface Plasmon Resonance | Association/dissociation kinetics | Real-time measurement |
| Microscale Thermophoresis | Binding constants in solution | Low sample consumption |
Structural studies: X-ray crystallography or NMR spectroscopy with bound fatty acids can provide atomic-level details of binding interactions.
Mutagenesis studies: Creating point mutations at predicted binding site residues can confirm the binding pocket and mechanism.
This comprehensive approach has been effective in characterizing other fatty acid binding proteins, revealing their specificity for different lipid molecules, binding mechanisms, and potential biological functions .
SAV_1365 can be adapted for surface display systems using methodologies similar to those established for other proteins. The sortase-mediated approach represents a particularly effective strategy:
Generate a fusion construct containing SAV_1365 with a cell wall sorting motif (CWM) and co-express with an appropriate sortase enzyme (like YhcS in B. subtilis)
The sortase will catalyze the covalent attachment of SAV_1365 to the peptidoglycan cell wall, resulting in stable surface display
Validate surface expression using:
Flow cytometry with fluorescently labeled antibodies against SAV_1365 or an epitope tag
Western blot analysis comparing protoplast fractions to confirm proper localization
Functional assays to verify that the displayed protein retains activity
This approach has proven successful for displaying other functional proteins on bacterial surfaces, as demonstrated in studies with protein A display on B. subtilis, where approximately 28% of cells showed significant surface expression compared to control strains .
To investigate potential antioxidant properties of SAV_1365, drawing from methodologies used with other fatty acid binding proteins:
Free radical scavenging assays:
DPPH (2,2-diphenyl-1-picrylhydrazyl) assay
ABTS (2,2′-azino-bis-3-ethylbenzthiazoline-6-sulphonic acid) assay
DCF (2′,7′-dichlorofluorescein) fluorescence assay to measure protection against H₂O₂-induced oxidative stress
Lipid peroxidation inhibition:
Test protection against both hydrophilic (AAPH) and lipophilic (AMVN) free radical generators
Measure malondialdehyde (MDA) production as a marker of lipid peroxidation
Identification of antioxidant mechanisms:
Mass spectrometry analysis to identify oxidative modifications to the protein
Site-directed mutagenesis of potential antioxidant residues (particularly methionines)
Analysis of fatty acid binding effects on antioxidant capacity
This systematic approach would determine whether SAV_1365 possesses antioxidant properties similar to those observed in other fatty acid binding proteins, such as L-FABP, which demonstrated significant protection against oxidative stress with increasing protein concentration .
Designing experiments to differentiate between direct antioxidant activity and fatty acid-sequestering effects requires a carefully controlled approach:
Comparative assays with different free radical generators:
Compare antioxidant efficiency against hydrophilic (AAPH) versus lipophilic (AMVN) free radical generators
If SAV_1365 functions primarily through fatty acid sequestration, it should show greater effectiveness against lipophilic radical generators
If it has direct antioxidant activity, it may protect against both types of radicals
Mutational analysis:
Generate SAV_1365 mutants with impaired fatty acid binding but intact protein structure
Compare antioxidant capacity of wild-type versus binding-deficient mutants
Reduced activity in binding-deficient mutants would suggest fatty acid sequestration as the primary mechanism
Pre-loading experiments:
Pre-saturate SAV_1365 with non-oxidizable fatty acids
Test whether pre-loaded protein retains antioxidant activity
Diminished activity would support a sequestration mechanism
These methodological approaches, similar to those used with L-FABP, which demonstrated differential protection against hydrophilic versus lipophilic radical generators, can help elucidate SAV_1365's antioxidant mechanism .
When analyzing SAV_1365 binding data across multiple experiments, implement these statistical approaches:
Optimum experimental design using statistical software like SAS can be employed to maximize the information obtained while minimizing the number of experiments required .
Molecular dynamics (MD) simulations provide valuable insights into SAV_1365's fatty acid binding mechanisms:
System preparation:
Generate homology models if crystal structures are unavailable
Parameterize fatty acid ligands using quantum mechanical calculations
Set up protein-ligand complexes in explicit solvent systems
Simulation protocols:
Equilibration followed by production runs of 100-500 ns
Multiple replicas with different starting conditions
Enhanced sampling techniques (metadynamics, umbrella sampling) for energy barriers
Analysis of binding dynamics:
Calculate binding free energies via MM/PBSA or thermodynamic integration
Identify key residues through interaction energy decomposition
Characterize conformational changes upon ligand binding
Map ligand entry/exit pathways through steered MD
Validation approaches:
Compare computational predictions with experimental mutagenesis data
Use simulation insights to design mutations that alter binding specificity
Predict effects of different fatty acids on protein stability and dynamics
These simulation approaches can reveal atomic-level details of binding mechanisms that are difficult to observe experimentally, similar to methods applied to other fatty acid binding proteins to understand their specificity and function .
Investigating post-translational modifications (PTMs) of SAV_1365 requires a comprehensive strategy:
PTM identification:
High-resolution mass spectrometry (MS/MS) analysis of protein expressed in different systems
Enrichment techniques for specific modifications (phosphopeptides, glycopeptides)
Comparison of modification patterns between expression systems (bacterial vs. mammalian)
Functional impact assessment:
| PTM Type | Analytical Method | Functional Implication |
|---|---|---|
| Phosphorylation | Phosphomimetic mutations (S/T→D/E) | May regulate binding affinity |
| Acetylation | MS/MS before/after deacetylase treatment | Could affect protein stability |
| Glycosylation | Expression in glycosylation-deficient cells | May impact solubility and half-life |
Site-directed mutagenesis:
Generate mutants that cannot be modified at specific sites
Compare binding properties and stability to wild-type protein
Use cell-based assays to assess functional differences in biological contexts
Structure-function relationships:
Determine if PTMs occur near the fatty acid binding pocket
Assess whether modifications alter protein conformational dynamics
Investigate if PTMs affect interactions with cellular partners
This systematic approach can reveal whether post-translational modifications are critical for SAV_1365 function, potentially explaining differences observed when the protein is expressed in different host systems .
Developing SAV_1365 as a drug delivery vehicle requires several methodological considerations:
Drug binding characterization:
Screen potential drug candidates for binding to SAV_1365 using fluorescence displacement assays
Determine binding constants and stoichiometry through ITC or fluorescence titration
Characterize binding site interactions through crystallography or NMR with bound drugs
Protein engineering strategies:
Site-directed mutagenesis to enhance binding of specific drug molecules
Creation of fusion proteins to incorporate targeting moieties
Surface modification to improve circulation time and reduce immunogenicity
Formulation development:
Optimize protein-drug complex stability under physiological conditions
Develop lyophilization protocols that preserve activity
Characterize release kinetics under various pH and temperature conditions
Surface display applications:
Adapt sortase-mediated display methods to create cell-based drug delivery systems
Evaluate display efficiency through flow cytometry and functional assays
Assess binding capacity and reusability similar to approaches used with protein A display systems
These approaches could leverage the fatty acid binding properties of SAV_1365 to create novel drug delivery systems, taking advantage of methodologies established for other surface-displayed proteins .
To investigate the physiological role of SAV_1365 in its native context:
Gene expression analysis:
Determine expression patterns under various growth conditions
Identify co-regulated genes through transcriptomic analysis
Map expression to specific physiological states or stress responses
Gene knockout/knockdown studies:
Generate gene deletion mutants using CRISPR-Cas9 or homologous recombination
Perform phenotypic characterization under various conditions
Conduct complementation studies with wild-type and mutant versions
Protein-protein interaction studies:
Perform pull-down assays coupled with mass spectrometry
Validate interactions using techniques like bioluminescence resonance energy transfer (BRET)
Map interaction interfaces through cross-linking mass spectrometry
Metabolomic analysis:
Compare lipid profiles between wild-type and knockout strains
Assess changes in fatty acid metabolism under different conditions
Identify specific fatty acids that may be physiological ligands
Stress response experiments:
Test sensitivity to oxidative stress, similar to experiments with L-FABP
Examine membrane integrity and composition in knockout vs. wild-type
Investigate potential roles in antioxidant defense mechanisms