Expression: Produced via recombinant DNA technology in E. coli, leveraging the His tag for affinity chromatography purification .
Purity Assurance: Verified by SDS-PAGE, ensuring minimal contamination from host proteins .
Storage Recommendations:
Functional Elucidation: Specific enzymatic or structural roles of BCE_0952 remain undefined.
Pathogenicity Link: No direct evidence connects BCE_0952 to toxin production (e.g., hblACD, nheABC) or antibiotic resistance .
Comparative Genomics: Further analysis is needed to map BCE_0952 homologs across Bacillus species or strains .
KEGG: bca:BCE_0952
BCE_0952 is a multi-pass membrane protein belonging to the UPF0754 family, found in Bacillus cereus (strain ATCC 10987). The protein consists of 378 amino acids with a molecular weight of approximately 42 kDa. Its amino acid sequence begins with MNIWLSMLTTTGLGAIIGGFTNHLAIKMLFRPHRPMYIGK and continues through a series of predominantly hydrophobic regions interspersed with charged residues . The protein's hydrophobicity profile suggests multiple transmembrane domains, consistent with its classification as a multi-pass membrane protein. For research applications, recombinant versions typically include an N-terminal His-tag to facilitate purification and detection.
The UPF0754 family represents a group of uncharacterized proteins (UncharacterizedProteinFamily0754) with conserved membrane-spanning domains found across various bacterial species. Current research indicates these proteins may have roles in membrane integrity, transport, or signaling. Comparative genomic analyses suggest the family maintains conserved structural elements despite sequence variations between species. Research methodologies for studying this family typically involve cross-species sequence alignment, hydrophobicity profiling, and topology prediction algorithms to identify functional domains.
Structural prediction of BCE_0952 should employ a multi-faceted approach:
Primary analysis: Use hydrophobicity plots and transmembrane domain prediction tools (TMHMM, HMMTOP) to identify membrane-spanning regions within the 378-amino acid sequence .
Secondary structure prediction: Apply algorithms like PSIPRED or JPred to predict α-helical and β-sheet regions based on the amino acid sequence MNIWLSMLTTTGLGAIIGGFTNHLAIKMLFRPHR... etc.
Homology modeling: Identify structural homologs using BLAST against proteins with known structures, even with low sequence identity, as membrane proteins often have structural conservation despite sequence divergence.
Molecular dynamics simulations: Place predicted models in a simulated lipid bilayer to assess stability and potential conformational changes.
Evolutionary coupling analysis: Use tools like EVfold to predict residue interactions based on evolutionary conservation patterns.
These methodologies provide a foundation for understanding BCE_0952 structure before undertaking challenging experimental approaches like X-ray crystallography or cryo-EM.
Expression strain selection: BL21(DE3), C41(DE3), or C43(DE3) strains are preferable for membrane proteins, with the latter two specifically engineered for toxic membrane proteins.
Vector design considerations:
Include an N-terminal His-tag for purification
Consider fusion partners (MBP, SUMO) to increase solubility
Incorporate precision protease cleavage sites for tag removal
Induction optimization:
Lower temperatures (16-20°C) to slow expression and improve folding
Reduced IPTG concentrations (0.1-0.5 mM)
Extended induction periods (overnight)
Membrane-specific additives:
Addition of glycerol (5-10%) to stabilize membrane proteins
Inclusion of specific lipids in growth media
E. coli has demonstrated effectiveness for BCE_0952 expression, but researchers examining protein-protein interactions or post-translational modifications might consider mammalian or insect cell systems for more native-like processing.
Purification of recombinant BCE_0952 requires specialized approaches for membrane proteins:
Membrane isolation and solubilization:
Cell lysis optimization (sonication, French press, or microfluidizer)
Differential centrifugation to isolate membrane fractions
Detergent screening (DDM, LDAO, OG) for optimal solubilization
Affinity chromatography:
Immobilized metal affinity chromatography (IMAC) utilizing the His-tag
Careful optimization of imidazole concentrations in wash and elution buffers
Secondary purification:
Size exclusion chromatography to separate monomeric protein from aggregates
Ion exchange chromatography for additional purification
Quality assessment:
Researchers should maintain detergent concentrations above critical micelle concentration throughout purification and consider protein stabilization with 6% trehalose as used in commercial preparations .
Verification of proper BCE_0952 folding presents unique challenges for membrane proteins:
Biophysical characterization:
Circular dichroism (CD) spectroscopy to assess secondary structure
Intrinsic tryptophan fluorescence to evaluate tertiary structure
Thermal shift assays to determine protein stability
Functional validation:
Liposome reconstitution assays
Binding assays with potential interacting partners
Activity assays (if enzymatic function is known or predicted)
Structural homogeneity assessment:
Size exclusion chromatography with multi-angle light scattering (SEC-MALS)
Dynamic light scattering (DLS) to evaluate monodispersity
Negative-stain electron microscopy for visual confirmation
Protease resistance assays:
Limited proteolysis to identify stable, well-folded domains
Comparison of digestion patterns between detergent-solubilized and denatured protein
Researchers should note that working with membrane proteins often requires optimization of buffer conditions, including detergent type and concentration, pH, and ionic strength to maintain native-like folding.
Elucidating BCE_0952 function requires integrated experimental strategies:
Genetic manipulation approaches:
Gene knockout or knockdown in B. cereus
Phenotypic analysis of mutants under various stress conditions
Complementation studies to confirm specificity of observed phenotypes
Protein interaction studies:
Co-immunoprecipitation with potential interacting partners
Bacterial two-hybrid systems adapted for membrane proteins
Cross-linking mass spectrometry to identify neighboring proteins
Localization confirmation:
Immunofluorescence microscopy with BCE_0952-specific antibodies
GFP-fusion proteins with careful design to maintain functionality
Subcellular fractionation and Western blotting
Comparative genomics:
Analysis of BCE_0952 conservation across B. cereus strains
Examination of gene neighborhood for functional clues
Identification of co-evolved genes suggesting functional relationships
Transcriptomic and proteomic approaches:
RNA-Seq analysis comparing wild-type and BCE_0952 mutants
Proteomics to identify changes in protein expression or modification
Metabolomics to detect alterations in cellular metabolism
These methodologies should be applied systematically, with appropriate controls and replication to generate reliable insights into BCE_0952 function.
While direct evidence for BCE_0952's role in pathogenicity is limited, methodological approaches to investigate this connection include:
Virulence assessment:
Comparison of BCE_0952 mutant and wild-type strains in infection models
Evaluation of adherence, invasion, and intracellular survival capabilities
Assessment of toxin production and secretion efficiency
Host-pathogen interaction studies:
Infection of host cells with fluorescently labeled BCE_0952 mutants
Co-localization studies with host cellular components
Transcriptional responses of host cells to BCE_0952 mutants versus wild-type
Analysis in the context of known B. cereus pathogenicity:
Evaluation of BCE_0952's relationship to established virulence factors
Assessment of BCE_0952 expression during different infection stages
Investigation of potential membrane protein clustering during infection
B. cereus is known to cause various infections, including food poisoning, respiratory tract infections, and nosocomial infections . Understanding BCE_0952's potential contribution to these pathogenic processes could provide insights into disease mechanisms and potential therapeutic targets.
Methodological approaches to investigate BCE_0952's role in stress responses include:
Stress challenge experiments:
Expose BCE_0952 mutants to various stressors (pH, temperature, antimicrobials)
Monitor growth kinetics, survival rates, and morphological changes
Compare membrane integrity under stress conditions
Transcriptional regulation analysis:
Identify promoter elements and potential regulatory proteins
Measure BCE_0952 expression under different environmental conditions
Determine if BCE_0952 is part of known stress response regulons
Membrane property assessment:
Measure membrane fluidity changes in BCE_0952 mutants
Evaluate proton motive force maintenance
Assess lipid composition alterations
Antimicrobial susceptibility testing:
Determine minimum inhibitory concentrations for various antimicrobials
Investigate BCE_0952's potential role in antimicrobial resistance mechanisms
Assess potential synergy between BCE_0952 inhibition and conventional antibiotics
Understanding BCE_0952's role in stress responses could be particularly relevant given B. cereus' ability to form spores resistant to cooking and pasteurization , potentially contributing to its persistence in food products and clinical environments.
Membrane protein crystallization presents specific methodological challenges:
Protein preparation considerations:
Detergent selection is critical—screen multiple detergents (DDM, LDAO, etc.)
Consider lipid cubic phase (LCP) crystallization
Evaluate protein constructs with flexible terminal regions removed
Crystallization optimization:
Extensive screening of conditions (pH, temperature, precipitants)
Addition of lipids to stabilize native conformation
Use of antibody fragments or nanobodies to provide crystal contacts
Alternative approaches:
Cryo-electron microscopy for membrane proteins resistant to crystallization
Nuclear magnetic resonance (NMR) for smaller domains or fragments
Electron paramagnetic resonance (EPR) for distance measurements
Quality assessment:
Pre-crystallization tests to evaluate sample homogeneity
Dynamic light scattering to monitor aggregation
Limited proteolysis to identify stable domains
The multi-pass nature of BCE_0952 suggests multiple transmembrane regions, which introduces additional challenges for maintaining proper folding and stability during purification and crystallization.
Several methodologies are suitable for identifying and characterizing BCE_0952 interactions:
In vitro approaches:
In vivo techniques:
Bacterial two-hybrid systems adapted for membrane proteins
Förster resonance energy transfer (FRET) with fluorescently tagged proteins
Bimolecular fluorescence complementation (BiFC)
Proximity-dependent biotin identification (BioID)
Computational predictions:
Molecular docking simulations
Coevolution analysis to identify potential interacting partners
Network analysis based on genomic context
Validation strategies:
Mutational analysis of predicted interaction interfaces
Competition assays with peptides derived from interaction regions
Reconstitution of protein complexes in artificial membrane systems
These techniques should be applied with appropriate controls, including negative controls (unrelated membrane proteins) and positive controls (known interacting partners from the same family or system).
Understanding the broader context of B. cereus pathogenicity provides important frameworks for BCE_0952 research:
Clinical relevance context:
Virulence mechanism investigation:
Determine if BCE_0952 is differentially expressed in clinical isolates
Investigate BCE_0952 conservation across strains with varying virulence
Assess BCE_0952 expression during infection processes
Drug resistance considerations:
Biofilm and persistence studies:
Examine BCE_0952's role in biofilm formation
Investigate its contribution to survival on hospital surfaces
Assess its involvement in spore formation or germination processes
Researchers should consider that B. cereus represents a group of 17 closely related species , and BCE_0952 homologs may have different roles across this spectrum, potentially contributing to the varying pathogenicity observed between strains.
Computational methods provide valuable insights for directing experimental work:
Sequence-based analysis:
Multiple sequence alignment with homologs across bacterial species
Identification of conserved domains and motifs
Prediction of functional sites using conservation mapping
Structural bioinformatics:
Secondary structure prediction
Transmembrane topology modeling
Template-based threading for tertiary structure prediction
Network-based approaches:
Gene neighborhood analysis
Co-expression network construction
Protein-protein interaction prediction
Data integration strategies:
Literature-based discovery approaches
Integration of transcriptomic and proteomic data
Pathway enrichment analysis
These computational methodologies generate testable hypotheses about BCE_0952 function that can guide experimental design and interpretation, improving research efficiency.