BA_5567 is part of the UPF0059 family, a group of uncharacterized proteins of unknown function (UPF). It is also referred to by alternative identifiers:
This protein is expressed as a recombinant product for research purposes, with applications in studying bacterial metal ion transport and membrane protein folding.
BA_5567 is hypothesized to function as a manganese efflux pump, regulating intracellular manganese levels. Key insights include:
Manganese Homeostasis: Likely involved in detoxifying excess manganese or maintaining optimal concentrations for enzymatic processes .
Antibiotic Resistance: Dysregulation of metal ion transport may contribute to bacterial resistance mechanisms .
Membrane Insertion: Requires proper folding in lipid bilayers, making it a model for studying transmembrane protein biogenesis .
BA_5567 is produced via recombinant expression, with varying approaches:
Cell-free systems are preferred for BA_5567 due to reduced host stress and simplified purification .
Recombinant BA_5567 exhibits the following properties:
Stability: Stored at -20°C or -80°C; repeated freeze-thaw cycles degrade activity .
Solubility: Requires glycerol-containing buffers for stability .
Applications include:
Structural Studies: Investigating transmembrane protein folding and topology .
Functional Assays: Testing manganese efflux activity in vitro .
Pathogen Research: Studying Bacillus anthracis metal ion management and virulence .
Producing functional BA_5567 faces challenges:
Membrane Insertion Stress: Overexpression can trigger host stress responses, reducing yield .
Proper Folding: Requires optimized lipid environments for activity .
Lack of High-Resolution Structures: Hinders mechanistic studies .
Recent advances in cell-free systems and membrane mimetics aim to overcome these limitations .
KEGG: ban:BA_5567
STRING: 260799.BAS5173
Q: What is the complete amino acid sequence of this protein?
A: The full 182-amino acid sequence of UPF0059 membrane protein BA_5567/GBAA_5567/BAS5173 is: MTFEQLIPLIIMAFALGMDAFSVSLGMGMMALKIRQILYIGVTIGIFHIIMPFIGMVLGRFLSEQYGDIAHFAGAILLIGLGFYIVYSSILENEETRTAPIGISLFVFAFGVSIDSFSVGLSLGIYGAQTIITILLFGFVSMLLAWIGLLIGRHAKGMLGTYGEIVGGIILVGFGLYLLFPI . This sequence reveals multiple hydrophobic regions consistent with transmembrane domains typical of integral membrane proteins.
Q: Are there available 3D structure models for this protein?
A: While high-resolution crystal structures have not been reported in the provided literature, ModBase offers a computational 3D structure model for this protein under UniProt ID Q81JX6 . Researchers should note that computational models provide theoretical structural insights that require experimental validation through techniques such as X-ray crystallography, cryo-electron microscopy, or NMR spectroscopy.
Q: What post-translational modifications are associated with this protein?
Q: Which expression system provides the highest yield for this membrane protein?
A: E. coli expression systems offer the best yields with shorter turnaround times for UPF0059 membrane protein BA_5567/GBAA_5567/BAS5173 . Specific products described in the literature include His-tagged versions expressed in E. coli with greater than 90% purity as determined by SDS-PAGE . Yeast expression systems also provide good yields, while insect and mammalian cells are recommended when post-translational modifications are critical .
Q: How does cell-free expression compare to cellular systems for this protein?
A: Cell-free expression systems have been successfully employed for producing this transmembrane protein . This approach can be advantageous for membrane proteins as it bypasses cellular toxicity issues that often arise with overexpression of membrane proteins in living cells. The cell-free approach may provide faster production timelines, though optimization of reaction components and conditions is essential for maximizing yield and functionality.
Q: What purification strategies are most effective for maintaining protein stability?
A: Based on commercial preparations, effective purification typically involves affinity chromatography for tagged versions of the protein. The recombinant protein is commonly provided in stabilizing buffers containing either Tris-based buffer with 50% glycerol or Tris/PBS-based buffer with 6% trehalose at pH 8.0 . These formulations are specifically optimized to maintain protein stability during storage and handling.
Q: How should this protein be stored to maximize stability and shelf life?
A: The optimal storage conditions for UPF0059 membrane protein BA_5567/GBAA_5567/BAS5173 are -20°C for routine storage and -80°C for extended storage . The protein is typically stabilized in buffer containing 50% glycerol or 6% trehalose. Importantly, repeated freezing and thawing cycles should be avoided as they can compromise protein integrity and function . For working aliquots, storage at 4°C for up to one week is recommended .
Q: What reconstitution protocol is recommended for lyophilized preparations?
A: For reconstitution of lyophilized preparations, first centrifuge the vial briefly to bring contents to the bottom. The protein should be reconstituted in deionized sterile water to a concentration of 0.1-1.0 mg/mL . For long-term storage after reconstitution, the addition of 5-50% glycerol (final concentration) is recommended, with a default final concentration of 50% glycerol being commonly used . The reconstituted protein should be aliquoted to minimize freeze-thaw cycles.
Q: What experimental approaches can elucidate the potential manganese transport function?
A: To investigate the potential manganese efflux pump activity suggested by the MntP annotation , researchers should implement a multi-faceted approach:
Metal transport assays using proteoliposomes reconstituted with purified protein
Fluorescent metal-sensing probes to measure manganese transport in real-time
Isotope-labeled manganese (⁵⁴Mn) uptake/efflux studies
Electrophysiological measurements if channel-like activity is suspected
Growth complementation assays in yeast or bacterial strains deficient in manganese transport
Site-directed mutagenesis of predicted metal-binding residues followed by functional assessment
Each approach should include appropriate controls such as inactive mutants, unrelated membrane proteins, and empty liposomes to establish specificity.
Q: How can protein-lipid interactions be studied for this membrane protein?
A: To characterize protein-lipid interactions, researchers should consider:
Differential scanning calorimetry to measure thermodynamic parameters of protein-lipid interactions
Fluorescence anisotropy with labeled lipids to measure direct binding
Native mass spectrometry to identify specifically bound lipids
Molecular dynamics simulations to predict lipid binding sites
Reconstitution in nanodiscs with defined lipid composition to assess functional impact
Tryptophan fluorescence quenching to monitor conformational changes upon lipid binding
These approaches will help determine whether specific lipids are required for structural stability or functional activity of the UPF0059 membrane protein.
Q: Which methods can provide high-resolution structural information?
A: For high-resolution structural characterization of UPF0059 membrane protein BA_5567/GBAA_5567/BAS5173, researchers should consider:
X-ray crystallography: Requires successful crystallization, which can be challenging for membrane proteins
Cryo-electron microscopy: Increasingly powerful for membrane proteins without crystallization
Solution or solid-state NMR: Particularly useful for dynamic regions and ligand binding studies
Hydrogen-deuterium exchange mass spectrometry: Provides insights into solvent-accessible regions
Small-angle X-ray scattering (SAXS): Yields low-resolution envelope structures in solution
Each method has distinct advantages and limitations for membrane protein analysis, and a combination of approaches may provide complementary structural insights.
Q: How can researchers assess oligomerization state in membrane environments?
A: To determine the oligomerization state of the UPF0059 membrane protein:
Blue native PAGE to analyze native complexes
Chemical crosslinking followed by SDS-PAGE or mass spectrometry analysis
Analytical ultracentrifugation with detergent-solubilized protein
Size exclusion chromatography coupled with multi-angle light scattering (SEC-MALS)
Single-molecule fluorescence techniques such as step photobleaching
Förster resonance energy transfer (FRET) between labeled protein units
Understanding oligomerization is critical as it may correlate with functional state, particularly for transport proteins.
Q: How can researchers address inconsistent functional data from different expression systems?
A: When facing contradictory functional data from different expression systems:
Systematically compare protein modifications between expression systems using mass spectrometry
Assess lipid composition differences that might affect function
Verify protein folding using circular dichroism or intrinsic fluorescence
Implement activity assays in defined reconstituted systems with identical lipid composition
Evaluate the impact of purification methods on protein stability and activity
Use complementary functional assays that measure different aspects of the same activity
This systematic approach helps distinguish genuine functional differences from artifacts introduced by experimental conditions.
Q: What strategies help reconcile structural predictions with experimental observations?
A: To resolve discrepancies between computational predictions and experimental data:
Refine computational models using experimental constraints
Implement hybrid approaches combining low-resolution experimental data with computational modeling
Test structure-based functional predictions through site-directed mutagenesis
Consider protein dynamics rather than static structures alone
Assess environmental factors (pH, ionic strength, lipid composition) that might induce conformational changes
Develop experimentally-validated scoring functions for computational predictions
Q: How can this membrane protein be effectively reconstituted into liposomes?
A: For functional reconstitution of UPF0059 membrane protein BA_5567/GBAA_5567/BAS5173 into liposomes:
Select appropriate lipid composition, potentially starting with E. coli polar lipid extract
Optimize protein-to-lipid ratio (typically 1:50 to 1:200 w/w)
Choose gentle detergent removal methods:
Dialysis (slow removal preserving delicate structures)
Bio-Beads or Amberlite adsorption (controlled rate of detergent removal)
Dilution below critical micelle concentration (for detergent-stable proteins)
Verify reconstitution efficiency through:
Freeze-fracture electron microscopy
Sucrose density gradient centrifugation
Dynamic light scattering for size distribution
Confirm protein orientation using protease protection assays or antibody accessibility tests
This approach has proven effective for membrane proteins similar to those described in study , where membrane protein fractions were successfully reconstituted into liposomes for functional studies.
Q: What membrane mimetics beyond liposomes should be considered?
A: Alternative membrane mimetics include:
Nanodiscs: Provide a native-like bilayer environment with precise control over size and composition
Amphipols: Amphipathic polymers that stabilize membrane proteins without conventional detergents
Styrene-maleic acid lipid particles (SMALPs): Extract proteins with surrounding native lipids
Bicelles: Disc-shaped mixed micelles combining long-chain and short-chain lipids
Lipidic cubic phases: Three-dimensional lipid bilayer networks useful for both functional studies and crystallization
Each system offers distinct advantages for specific analytical techniques and should be selected based on experimental requirements.
Q: What strategies overcome common expression bottlenecks for this membrane protein?
A: To maximize expression yields of functional UPF0059 membrane protein:
Optimize E. coli expression conditions :
Test multiple E. coli strains (BL21, C41/C43, Lemo21)
Evaluate induction conditions (temperature, inducer concentration, time)
Consider auto-induction media for gentler expression
For yeast expression:
Test different promoters (constitutive vs. inducible)
Optimize carbon source and induction protocols
For insect or mammalian expression when post-translational modifications are critical :
Optimize virus titer and infection time for baculovirus systems
Test different cell lines for highest expression
For cell-free expression systems :
Optimize reaction components and conditions
Include appropriate membrane mimetics during translation
Each approach should be evaluated using small-scale expression trials before scaling up.
Q: What purification strategies maximize recovery of functional protein?
A: To optimize purification while maintaining function:
Implement gentle solubilization conditions:
Screen multiple detergents (maltoside, glucoside, and fos-choline series)
Include stabilizers in extraction buffers (glycerol, specific lipids)
Optimize affinity purification:
Use gradient elution to minimize protein denaturation
Control flow rates to ensure complete binding
Consider purification under controlled redox conditions if the protein contains cysteine residues
Implement buffer optimization:
Test various pH values around physiological range
Screen different salt concentrations
Include quality control steps:
Size exclusion chromatography to verify monodispersity
Activity assays after each purification step
These strategies help maximize both yield and functional integrity of the purified protein.
Q: How should researchers design a comprehensive functional analysis pipeline?
A: A systematic functional characterization workflow should include:
Initial bioinformatic analysis:
Sequence-based predictions of function
Structural modeling and comparative analysis
Genomic context examination
Biochemical characterization:
Substrate binding assays
Transport activity measurements (if appropriate)
Cofactor requirements assessment
Structural correlates:
Conformational changes upon substrate binding
Identification of functional domains
Mutagenesis studies:
Alanine scanning of conserved residues
Specific mutations based on functional hypotheses
In vivo validation:
Complementation of knockout phenotypes
Physiological response to expression modulation
This systematic approach ensures comprehensive functional insights while minimizing experimental artifacts.
Q: What solutions exist for poor solubility during membrane protein extraction?
A: To address solubility issues with UPF0059 membrane protein:
Implement a systematic detergent screening approach:
Test different detergent classes (maltoside, glucoside, fos-choline)
Evaluate various detergent concentrations
Consider detergent mixtures for enhanced solubilization
Optimize solubilization conditions:
Adjust buffer pH and ionic strength
Include stabilizing additives (glycerol, specific lipids)
Test different temperatures during solubilization
Consider alternative solubilization approaches:
Styrene-maleic acid copolymers for native lipid co-extraction
Amphipathic polymers as detergent alternatives
Fluorinated surfactants for challenging membrane proteins
These approaches can significantly improve extraction efficiency while preserving protein structure and function.
Q: How can researchers prevent aggregation during purification and storage?
A: To minimize aggregation:
Maintain appropriate detergent concentration above critical micelle concentration throughout all steps
Include stabilizers in all buffers:
Control temperature during purification (typically 4°C)
Avoid extreme pH conditions
Consider adding reducing agents if the protein contains cysteines
Store in small aliquots at -20°C or -80°C to prevent repeated freeze-thaw cycles
For working solutions, maintain at 4°C for no more than one week
Q: What strategies help distinguish between denaturation and inhibition?
A: To determine whether inactivity results from denaturation or inhibition:
Assess protein structural integrity:
Circular dichroism to evaluate secondary structure
Intrinsic fluorescence to monitor tertiary structure
Size exclusion chromatography to detect aggregation
Evaluate possible inhibition mechanisms:
Test activity in different buffer compositions
Examine the effect of potential inhibitors from expression/purification
Include potential cofactors that might be required for activity
Compare with positive controls:
Use commercially available preparations with verified activity
Test parallel preparations using different methods
Implement recovery strategies:
Detergent exchange to remove potential inhibitors
Reconstitution into different lipid environments
Removal of affinity tags if they might interfere with function
This systematic approach helps identify the source of inactivity and guide corrective measures.
Q: How can researchers verify that purified protein retains native conformation?
A: To confirm native conformation:
Implement biophysical characterization:
Circular dichroism spectra typical of membrane proteins
Thermal denaturation profiles to assess stability
Limited proteolysis to examine domain structure
Functional verification:
Ligand binding assays
Reconstitution-based functional tests
Structural integrity assessment:
Analytical ultracentrifugation for oligomeric state
Native PAGE mobility
Negative-stain electron microscopy
Q: How might cryo-electron microscopy transform structural studies of this protein?
A: Cryo-electron microscopy (cryo-EM) offers significant potential for UPF0059 membrane protein structural studies:
Single particle analysis can determine structures without crystallization
Recent advances in direct electron detectors and image processing have enabled atomic-resolution structures of membrane proteins smaller than 100 kDa
Various membrane mimetics (nanodiscs, amphipols) are compatible with cryo-EM
Multiple conformational states can be captured in a single dataset
Time-resolved cryo-EM could potentially visualize transport cycles if the protein functions as a manganese efflux pump
Implementing cryo-EM strategies could overcome the crystallization bottleneck that traditionally challenges membrane protein structural biology.
Q: What computational advances might accelerate functional annotation?
A: Emerging computational approaches include:
Machine learning algorithms trained on membrane protein datasets to predict function
Enhanced molecular dynamics simulations in explicit membrane environments
Quantum mechanics/molecular mechanics (QM/MM) calculations for mechanism prediction
Deep learning approaches for structure prediction (like AlphaFold2) specialized for membrane proteins
Systems biology modeling to predict pathway involvement and physiological role
Network analysis methods to identify functional associations
Virtual screening against structural models to identify potential ligands or inhibitors
These computational techniques, especially when integrated with experimental validation, promise to accelerate functional annotation of this uncharacterized membrane protein.
Q: What potential applications exist if the manganese transport function is confirmed?
A: If confirmed as a manganese efflux pump , potential applications include:
Development of engineered bacteria with enhanced manganese tolerance for bioremediation
Creation of biosensors for manganese detection in environmental or biological samples
Design of antimicrobial agents targeting this Bacillus anthracis protein
Biomedical applications related to manganese homeostasis disorders
Industrial biotechnology applications requiring controlled metal ion concentrations
Agricultural applications for crops grown in manganese-rich soils
Each application would require detailed understanding of transport mechanism, specificity, and regulation to enable effective engineering.