KEGG: bmt:BSUIS_A1077
BSUIS_A1077 (UniProt ID: B0CGI5) is a UPF0283 family membrane protein from Brucella suis, a gram-negative, aerobic pathogen that causes brucellosis. The protein consists of 357 amino acids and is encoded by the BSUIS_A1077 gene . The significance of this protein in Brucella research stems from its membrane localization, which may play roles in bacterial survival, pathogenicity, or host-pathogen interactions. Brucella suis is one of approximately 25 species in the Brucella genus and is closely related to Bartonella . As a membrane protein, BSUIS_A1077 could be involved in essential cellular functions such as transport, signal transduction, or maintenance of cell integrity, making it potentially valuable for understanding Brucella physiology and pathogenesis.
BSUIS_A1077 belongs to the UPF0283 family of membrane proteins, which are found across various Brucella species. While specific comparative data for this protein across Brucella species is not directly provided in the search results, we can infer some relationships based on Brucella taxonomy. From a phylogenetic perspective, B. suis is closely related to other Brucella species like B. abortus, B. canis, B. ceti, B. melitensis, B. neotome, B. ovis, and B. pinnipedialis, which all represent the same species (B. melitensis) from a phylogenetic standpoint but have different host specificities . Therefore, UPF0283 membrane proteins in these species likely share high sequence homology with BSUIS_A1077, potentially with minor variations that might contribute to host adaptation. Comparative sequence analysis would be valuable for identifying conserved domains that may be essential for function versus variable regions that might contribute to species-specific properties.
The optimal expression system for recombinant BSUIS_A1077 is Escherichia coli, as evidenced by successful expressions documented in the literature . E. coli offers several advantages for membrane protein expression, including rapid growth, high yield, and well-established protocols. For BSUIS_A1077 specifically, the protein has been successfully expressed with an N-terminal His-tag fusion in E. coli .
When designing an expression system for this membrane protein, researchers should consider:
Vector selection: Vectors with inducible promoters (such as T7) allow controlled expression
Fusion tags: N-terminal His-tags have proven successful and facilitate purification
Host strain: BL21(DE3) or specialized membrane protein expression strains may improve yields
Growth conditions: Lower temperatures (16-25°C) often improve membrane protein folding
Inducer concentration: Titrating inducer levels helps optimize expression versus toxicity
Alternative expression systems such as cell-free systems or eukaryotic hosts might be considered for specialized applications requiring different post-translational modifications or folding environments.
Purification of recombinant BSUIS_A1077 requires specialized approaches due to its membrane protein nature. Based on available data, the following purification strategy is recommended:
Extraction: Solubilize the membrane fraction using appropriate detergents that maintain protein structure and function. Mild detergents like n-dodecyl-β-D-maltoside (DDM) or n-octyl-β-D-glucopyranoside (OG) are often suitable.
Affinity chromatography: For His-tagged BSUIS_A1077, nickel or cobalt affinity chromatography is effective. To distinguish full-length protein from truncated forms, consider:
Buffer composition: Tris/PBS-based buffers with pH 8.0 have been successfully used . Addition of glycerol (6-50%) helps stabilize the protein.
Storage: After purification, the protein can be lyophilized or stored in buffer with 50% glycerol at -20°C/-80°C .
Quality control: SDS-PAGE analysis should confirm >90% purity .
For reconstitution of lyophilized protein, researchers should use deionized sterile water to achieve a concentration of 0.1-1.0 mg/mL and consider adding glycerol (final concentration 5-50%) for long-term storage .
Expression of full-length membrane proteins like BSUIS_A1077 presents several significant challenges:
| Challenge | Cause | Solution |
|---|---|---|
| Low expression yield | Protein toxicity, codon bias, hydrophobicity | Optimize codon usage, use specialized expression strains, lower induction temperature |
| Protein misfolding | Improper membrane insertion | Use specialized E. coli strains designed for membrane proteins, add specific lipids or chaperones |
| Truncated products | Proteolysis, translation termination | Use protease inhibitors, optimize translation initiation sites, add C-terminal tags to verify full-length expression |
| Aggregation | Improper folding, high concentration | Add solubilizing agents, optimize detergent selection, use fusion partners that enhance solubility |
| Difficult extraction | Strong membrane association | Test different detergents, optimize detergent:protein ratios, consider membrane scaffold proteins |
To address hydrophobicity challenges specifically for BSUIS_A1077, researchers should analyze the protein sequence and secondary structure to identify hydrophobic regions that may cause folding issues . For translation initiation problems leading to truncated products, expression vectors with fusion tags on both N and C termini can help distinguish full-length proteins from truncated versions, particularly during purification by increasing the imidazole concentration at elution .
While the exact function of BSUIS_A1077 remains to be fully characterized, its classification as a UPF0283 membrane protein and structural features provide some insights. As a membrane protein in Brucella suis, BSUIS_A1077 likely contributes to one or more of the following functions:
Membrane integrity and structure maintenance
Transport of substances across the bacterial membrane
Signal transduction or sensing of environmental conditions
Potential roles in bacterial pathogenesis or host-pathogen interactions
Brucella suis is a zoonotic pathogen causing brucellosis, with particular relevance to swine infection but capable of infecting humans as well . The bacterium's ability to penetrate intact skin and its classification as a category B potential bioterrorism agent by NIAID highlight its significance . BSUIS_A1077, as a membrane protein, may contribute to the bacterium's survival mechanisms, host adaptation, or virulence.
Methodologically, to investigate BSUIS_A1077 function, researchers could employ a multi-faceted approach:
Gene knockout or knockdown studies to assess phenotypic changes
Protein-protein interaction studies to identify binding partners
Localization studies using fluorescent tags or immunostaining
Comparative genomics across Brucella species with different host specificities
Recombinant BSUIS_A1077 presents several opportunities for vaccine development research against brucellosis, a significant zoonotic disease. As a membrane protein, BSUIS_A1077 may be exposed on the bacterial surface, making it potentially accessible to the host immune system and therefore a candidate antigen for vaccine development.
Methodological approaches for vaccine research using this protein include:
Immunogenicity assessment: Evaluate the ability of purified recombinant BSUIS_A1077 to elicit humoral and cellular immune responses in animal models. This involves measuring antibody titers, T-cell responses, and cytokine profiles.
Epitope mapping: Identify specific regions (epitopes) within BSUIS_A1077 that are recognized by the immune system. This can be accomplished through:
Peptide array analysis
Phage display technology
Computational prediction followed by experimental validation
Subunit vaccine formulation: Incorporate full-length BSUIS_A1077 or immunogenic fragments into adjuvanted formulations for testing in appropriate animal models.
Vector-based approaches: Express BSUIS_A1077 in viral or bacterial vectors for potential use as live attenuated vaccines.
Protection studies: Challenge vaccinated animals with virulent Brucella suis to assess protective efficacy of BSUIS_A1077-based vaccine candidates.
While developing such vaccines, researchers must consider potential cross-reactivity with other bacterial species, stability of the recombinant protein, and appropriate delivery systems to ensure optimal immune responses.
Understanding protein-protein interactions (PPIs) involving BSUIS_A1077 is crucial for elucidating its function in Brucella suis biology. Several experimental approaches are suitable for studying these interactions:
Co-immunoprecipitation (Co-IP):
Express His-tagged BSUIS_A1077 in Brucella suis or recombinant systems
Solubilize membrane fractions with appropriate detergents
Perform pull-down assays using anti-His antibodies
Identify co-precipitated proteins by mass spectrometry
Bacterial two-hybrid systems:
Adapt membrane-specific two-hybrid systems like BACTH (Bacterial Adenylate Cyclase Two-Hybrid)
Clone BSUIS_A1077 into appropriate vectors
Screen for interactions with libraries of Brucella proteins
Cross-linking approaches:
Utilize membrane-permeable cross-linking agents
Analyze cross-linked complexes by mass spectrometry
Verify interactions with targeted approaches
Surface Plasmon Resonance (SPR):
Immobilize purified BSUIS_A1077 on sensor chips
Flow potential binding partners over the surface
Measure binding kinetics and affinities
Microscopy-based techniques:
Fluorescence Resonance Energy Transfer (FRET)
Bimolecular Fluorescence Complementation (BiFC)
Super-resolution microscopy for co-localization studies
When designing these experiments, researchers should account for the membrane environment required for proper BSUIS_A1077 folding, potentially incorporating nanodiscs, liposomes, or detergent micelles to maintain native-like membrane conditions.
When working with recombinant BSUIS_A1077, researchers must consider several important biosafety aspects, particularly given that this protein originates from Brucella suis, a zoonotic pathogen. While the recombinant protein itself (expressed in E. coli) does not pose the same risk as live Brucella, proper precautions remain essential:
Biosafety level considerations:
Personal protective equipment (PPE):
Gloves, lab coat, and eye protection are mandatory
Consider respiratory protection when handling lyophilized protein to prevent inhalation
Handling precautions:
Waste management:
Decontaminate all materials that contact the protein
Autoclave or chemically treat waste before disposal
Follow institutional guidelines for biohazardous waste disposal
Emergency procedures:
Develop clear protocols for spills or exposures
Document any potential exposures and seek medical attention if necessary
Always consult with your institutional biosafety committee for specific guidelines applicable to your research context.
Maintaining the stability and activity of recombinant BSUIS_A1077 requires careful attention to storage conditions, particularly given its nature as a membrane protein. Based on available information, the following storage guidelines are recommended:
Short-term storage (up to one week):
Long-term storage:
Lyophilized form:
Buffer composition considerations:
Stability indicators:
Monitor protein integrity by SDS-PAGE periodically
Assess functional activity using appropriate assays
Watch for signs of degradation or aggregation
Repeated freeze-thaw cycles should be strictly avoided as they can lead to protein denaturation and loss of activity . When designing experiments, plan ahead to minimize the need for multiple freeze-thaw events.
Structural characterization of membrane proteins like BSUIS_A1077 presents unique challenges but can be approached through multiple complementary techniques:
X-ray crystallography:
Optimize protein purification to achieve high homogeneity and stability
Screen various detergents to identify those that maintain native structure while allowing crystal contacts
Employ lipidic cubic phase (LCP) or bicelle crystallization methods specifically designed for membrane proteins
Consider fusion partners (e.g., T4 lysozyme) to increase soluble domains for crystal contacts
Cryo-electron microscopy (cryo-EM):
Particularly valuable for membrane proteins resistant to crystallization
Prepare protein in detergent micelles, nanodiscs, or amphipols
Use single-particle analysis for structure determination
Consider 2D crystallization in lipid bilayers for electron crystallography
Nuclear Magnetic Resonance (NMR) spectroscopy:
Isotopically label the protein (13C, 15N) during expression
Optimize sample conditions (detergents, temperature, pH)
Consider solid-state NMR for proteins in lipid bilayers
Computational approaches:
Use AlphaFold2 or similar AI-based tools for structural prediction
Validate predictions with experimental data from limited proteolysis, cross-linking, or spectroscopic techniques
Hybrid approaches:
Combine low-resolution data from techniques like small-angle X-ray scattering (SAXS) with computational modeling
Use distance constraints from techniques like FRET or crosslinking to refine models
Each approach requires careful optimization of protein preparation, particularly regarding detergent selection to maintain native-like folding while accommodating the requirements of the structural technique.
Investigating the potential role of BSUIS_A1077 in Brucella pathogenesis requires sophisticated experimental approaches that bridge molecular biology, cell biology, and infection models:
Gene knockout and complementation studies:
Generate BSUIS_A1077 deletion mutants in Brucella suis
Complement with wild-type or site-directed mutant versions
Assess effects on bacterial survival, replication, and virulence
Evaluate in cellular infection models (macrophages, trophoblasts)
Transcriptomic and proteomic analysis:
Compare wild-type vs. BSUIS_A1077 mutant strains under various conditions
Identify differentially expressed genes/proteins in response to host environments
Use RNA-seq and mass spectrometry-based proteomics
Integrate data to identify affected pathways
Host-pathogen interaction studies:
Assess effects of BSUIS_A1077 on host cell entry, intracellular trafficking, and replication
Investigate interactions with host cellular components
Evaluate impact on host immune responses, including cytokine production and inflammasome activation
Use fluorescence microscopy to track bacterial localization
In vivo infection models:
Compare wild-type and mutant strains in appropriate animal models (mice, guinea pigs)
Assess bacterial loads in target tissues
Evaluate pathological changes and immune responses
Consider competitive infection assays to directly compare fitness
Post-translational modification analysis:
Investigate if BSUIS_A1077 undergoes modifications during infection
Assess how modifications might affect protein function and localization
Use phosphoproteomics or other targeted approaches
Advanced proteomics techniques offer powerful approaches to study BSUIS_A1077 expression, localization, and modifications under various environmental conditions or during infection:
Quantitative proteomics:
SILAC (Stable Isotope Labeling with Amino acids in Cell culture) for metabolic labeling
TMT (Tandem Mass Tag) or iTRAQ (isobaric Tags for Relative and Absolute Quantitation) for chemical labeling
Label-free quantification approaches
Target: Measure changes in BSUIS_A1077 abundance across different conditions
Post-translational modification (PTM) analysis:
Phosphoproteomics to identify phosphorylation sites
Glycoproteomics to identify glycosylation patterns
Redox proteomics to assess oxidative modifications
Enrichment strategies specific to the modification of interest
Protein-protein interaction proteomics:
AP-MS (Affinity Purification-Mass Spectrometry)
BioID or APEX proximity labeling to identify neighbors in the membrane
Cross-linking Mass Spectrometry (XL-MS) to map interaction interfaces
Target: Identify BSUIS_A1077 interaction partners during infection
Spatial proteomics:
Subfractionation of bacterial membranes followed by proteomics
LOPIT (Localization of Organelle Proteins by Isotope Tagging)
In situ labeling techniques combined with microscopy
Target: Determine precise localization within membrane subdomains
Targeted proteomics:
SRM/MRM (Selected/Multiple Reaction Monitoring)
PRM (Parallel Reaction Monitoring)
Target: Detect and quantify BSUIS_A1077 with high sensitivity and specificity
Experimental design should include:
| Condition | Purpose | Analysis |
|---|---|---|
| Growth phase variation | Determine if expression changes during bacterial lifecycle | Quantitative proteomics |
| Nutrient limitation | Assess response to stress conditions | Quantitative proteomics, PTM analysis |
| pH/temperature stress | Mimic host environment transitions | PTM analysis, structural changes |
| Infection models | Study changes during host interaction | Interaction proteomics, PTM analysis |
| Antibiotic exposure | Evaluate role in resistance mechanisms | Quantitative proteomics, localization |
These advanced approaches require careful sample preparation due to the membrane nature of BSUIS_A1077, potentially using specialized enrichment or solubilization strategies.
Membrane proteins like BSUIS_A1077 frequently present solubility challenges during expression, purification, and experimental handling. Researchers can implement the following strategies to address these issues:
Optimization of extraction conditions:
Screen multiple detergents (DDM, LDAO, OG, CHAPS) at various concentrations
Test different detergent:protein ratios
Consider mixed detergent systems for improved extraction
Evaluate solubilization time and temperature
Buffer optimization:
Vary pH conditions (typically pH 7.0-8.5 for membrane proteins)
Test different salt concentrations (150-500 mM)
Add stabilizing agents such as glycerol (5-20%)
Consider adding specific lipids that might stabilize the protein
Alternative solubilization approaches:
Amphipols (e.g., A8-35) as detergent alternatives
Nanodiscs with membrane scaffold proteins (MSPs)
Styrene-maleic acid lipid particles (SMALPs)
Peptide-based nanodiscs (e.g., peptidiscs)
Fusion protein strategies:
Express with solubility-enhancing fusion partners (MBP, SUMO, thioredoxin)
Consider truncation constructs if specific domains show better solubility
Design constructs with flexible linkers between domains
Co-expression approaches:
Express with chaperones to assist proper folding
Co-express with natural binding partners if known
For researchers facing persistent solubility issues, a methodical approach documenting conditions tested and results observed is essential for optimization. Keep in mind that conditions optimal for solubility may need to be balanced with those required for downstream applications such as functional assays or structural studies.
Expression problems with membrane proteins like BSUIS_A1077 are common but can be addressed through systematic troubleshooting:
Optimizing expression constructs:
Codon optimization for the expression host
Testing different fusion tags (His, GST, MBP, SUMO)
Adjusting tag position (N-terminal vs. C-terminal)
Modifying vector elements (promoters, ribosome binding sites)
Expression host selection:
Standard E. coli strains (BL21(DE3), Rosetta)
Specialized membrane protein expression strains (C41(DE3), C43(DE3))
Considers hosts with altered membrane compositions
Testing cell-free expression systems for toxic proteins
Expression conditions optimization:
Temperature reduction (37°C → 30°C → 25°C → 18°C)
Inducer concentration titration
Media composition (LB, TB, M9, auto-induction)
Duration of expression (4h vs. overnight)
Addressing toxicity issues:
Using tightly controlled inducible systems
Testing expression in the presence of ligands or stabilizers
Employing secretion strategies or periplasmic targeting
Consider fusion to toxicity-mitigating partners
Detecting low expression levels:
Western blotting with tag-specific antibodies
Using highly sensitive detection methods (e.g., luciferase reporters)
Scaling up culture volumes to compensate for low yields
Optimizing cell lysis and extraction conditions
A detailed troubleshooting matrix can help track experiments and outcomes:
| Parameter | Variables Tested | Outcomes | Best Condition |
|---|---|---|---|
| Expression temperature | 37°C, 30°C, 25°C, 18°C | Higher soluble fraction at lower temperatures | 18-25°C |
| Induction time | 2h, 4h, 6h, overnight | Longer induction may lead to degradation | 4-6h |
| Inducer concentration | 0.1mM, 0.5mM, 1.0mM IPTG | Lower concentrations reduce toxicity | 0.1-0.5mM |
| Host strain | BL21(DE3), C41(DE3), Rosetta | Specialized strains may improve yields | C41(DE3) |
| Media composition | LB, TB, 2YT | Richer media may improve yields | TB |
For difficult membrane proteins like BSUIS_A1077, it may be necessary to test multiple combinations of these variables to identify optimal expression conditions.
BSUIS_A1077, as a membrane protein specific to Brucella suis, presents several characteristics that make it a potential target for antimicrobial development:
Essentiality assessment:
Determine if BSUIS_A1077 is essential for bacterial viability through gene knockout studies
Assess growth defects in conditional mutants
Evaluate contribution to survival in host environments
Quantify impact on virulence and persistence
Target validation approaches:
Confirm absence of close homologs in mammalian cells to minimize off-target effects
Assess conservation across Brucella species for broad-spectrum potential
Evaluate accessibility of the protein to small molecules
Identify functionally critical domains or residues
Drug discovery strategies:
High-throughput screening of compound libraries against purified BSUIS_A1077
Structure-based drug design if structural data becomes available
Fragment-based approaches to identify initial chemical scaffolds
Peptidomimetic design targeting protein-protein interaction interfaces
Functional assay development:
Design assays to measure specific functions (e.g., transport activity)
Develop binding assays to identify molecules that interact with BSUIS_A1077
Create cell-based assays to evaluate compound permeability and efficacy
Resistance potential analysis:
Assess the likelihood of resistance development
Identify potential resistance mechanisms
Consider combination approaches to reduce resistance risk
Researchers pursuing BSUIS_A1077 as an antimicrobial target should prioritize understanding its exact function and essentiality, as membrane proteins involved in critical cellular processes often make excellent drug targets due to their accessibility from the extracellular environment.
Several cutting-edge technologies show promise for elucidating BSUIS_A1077 function and interactions:
Advanced structural biology approaches:
Microcrystal electron diffraction (MicroED) for structural determination from nano-sized crystals
Single-particle cryo-EM with improved detectors and processing algorithms
Integrative structural biology combining multiple experimental data sources
AI-based structure prediction (AlphaFold2, RoseTTAFold) with experimental validation
Advanced genetic manipulation:
CRISPR-Cas9 based genome editing in Brucella suis
CRISPRi for conditional knockdown without complete deletion
Base editing for precise point mutations
Transpositional mutagenesis with next-generation sequencing readout
Single-molecule techniques:
Single-molecule FRET to study conformational changes
Optical tweezers or atomic force microscopy for studying mechanical properties
Single-molecule tracking in live cells to monitor dynamics
Nanopore recording for potential transport functions
Advanced imaging:
Super-resolution microscopy (PALM/STORM, STED) for localization studies
Correlative light and electron microscopy (CLEM)
Cryo-electron tomography of Brucella in native cellular contexts
Expansion microscopy for improved resolution of membrane organization
Systems biology approaches:
Multi-omics integration (genomics, transcriptomics, proteomics, metabolomics)
Network analysis to position BSUIS_A1077 in broader biological pathways
Machine learning for pattern recognition in large-scale datasets
Mathematical modeling of membrane protein functions
These technologies, especially when combined, could provide unprecedented insights into the structural dynamics, functional mechanisms, and biological roles of BSUIS_A1077 in Brucella suis biology and pathogenesis.
Computational approaches offer powerful tools for generating hypotheses about BSUIS_A1077 function that can guide experimental research:
Sequence-based predictions:
Profile-based searches (PSI-BLAST, HMMer) to identify distant homologs
Conservation analysis across species to identify functional residues
Co-evolution analysis to predict interacting residues
Transmembrane topology prediction using specialized algorithms (TMHMM, Phobius)
Structure-based computational methods:
Network-based approaches:
Protein-protein interaction predictions based on:
Sequence co-evolution patterns
Gene neighborhood analysis across genomes
Co-expression data mining
Text mining of scientific literature
Integration with existing Brucella interactome data
Function prediction methods:
Gene Ontology term prediction
Domain-based functional annotation
Pathway association through gene set enrichment analysis
Ligand binding site prediction and substrate specificity analysis
Machine learning integration:
Feature extraction from multiple data sources
Classification algorithms to predict functional categories
Deep learning applications for complex pattern recognition
Transfer learning from better-characterized membrane proteins
A systematic computational workflow might include:
Initial sequence analysis and annotation
Structure prediction and refinement
Functional site identification
Interaction partner prediction
Molecular dynamics in membrane environment
Hypothesis generation for experimental validation
These computational predictions should be validated through targeted experimental approaches, creating an iterative cycle of prediction and validation to advance understanding of BSUIS_A1077 function.