This protein is involved in bacillithiol (BSH) biosynthesis. It likely catalyzes the final step in the pathway: the addition of cysteine to glucosamine malate (GlcN-Mal) to produce BSH.
KEGG: bca:BCE_3965
UPF0747 protein BCE_3965 is an uncharacterized protein from Bacillus cereus strain ATCC 10987 / NRS 248. It belongs to the UPF0747 protein family, with UniProt accession number Q732E9, and is available as a partial recombinant protein . The protein is associated with the target name bshC, though its precise functional role remains to be fully characterized. The UPF designation indicates it belongs to a protein family whose function has not yet been experimentally determined, making it a potentially interesting target for basic research into B. cereus biology .
The recombinant BCE_3965 protein has specific storage requirements to maintain stability and functionality. The lyophilized form maintains a shelf life of 12 months at -20°C/-80°C, while the liquid form has a reduced shelf life of approximately 6 months at the same temperatures . It is critical to avoid repeated freeze-thaw cycles as these can significantly compromise protein integrity. Working aliquots can be stored at 4°C for up to one week . For reconstitution, it is recommended to briefly centrifuge the vial before opening and to reconstitute the protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL, with the addition of 5-50% glycerol (final concentration) for long-term storage aliquots .
The recombinant BCE_3965 protein is produced in yeast expression systems, which provide appropriate eukaryotic post-translational modifications that may be important for protein folding and functionality . The protein achieves a purity of >85% as determined by SDS-PAGE analysis, making it suitable for most research applications . The specific tag type is determined during the manufacturing process and may vary between batches, which should be considered when designing experiments that might be affected by the presence of fusion tags .
Characterization of an uncharacterized protein like BCE_3965 requires a multi-faceted approach. Begin with bioinformatic analysis to identify conserved domains, predict secondary structure, and search for orthologs in related species. Follow with experimental characterization including:
Structural studies: X-ray crystallography, NMR spectroscopy, or cryo-electron microscopy
Functional assays: Enzyme activity tests based on predicted functions
Interaction studies: Pull-down assays, yeast two-hybrid screens, or protein microarrays
Localization experiments: GFP fusion constructs or immunofluorescence
Phenotypic analysis of knockout/knockdown mutants
Given the association with bshC target name, investigate potential roles in cellular processes related to this designation through targeted functional assays .
For optimal purification of recombinant BCE_3965, consider implementing a multi-step process tailored to its biochemical properties:
Initial capture: Affinity chromatography utilizing the fusion tag present on the recombinant protein
Intermediate purification: Ion exchange chromatography based on the protein's predicted isoelectric point
Polishing: Size exclusion chromatography to separate aggregates and achieve high purity
The recombinant BCE_3965 product has a documented purity of >85% by SDS-PAGE, suggesting that industrial purification has already overcome major challenges . For research requiring higher purity, additional optimization may be necessary. Monitor protein stability throughout purification using dynamic light scattering and circular dichroism to ensure the protein maintains its native conformation.
Validating the function of an uncharacterized protein presents unique challenges. Implement these methodological approaches:
Comparative genomics: Analyze gene neighborhood and co-evolution patterns
Transcriptomic analysis: Identify conditions that alter BCE_3965 expression
Metabolomic profiling: Compare metabolite profiles between wild-type and BCE_3965 mutants
Structure-guided hypotheses: Use solved or predicted structures to suggest potential functions
Protein-protein interaction networks: Identify functional associations through interactome mapping
Document all experimental conditions meticulously, including protein concentration, buffer composition, temperature, and incubation times to ensure reproducibility. Validate findings using multiple experimental approaches to strengthen functional hypotheses .
While direct evidence linking BCE_3965 to pathogenicity is limited, its investigation in the context of B. cereus virulence is warranted. B. cereus is known to cause food intoxication through various toxins and virulence factors, including nonhemolytic enterotoxin Nhe, hemolytic enterotoxin Hbl, enterotoxin FM, cytotoxin K (associated with diarrheal syndrome), and cereulide (associated with emetic syndrome) . To investigate potential roles of BCE_3965 in pathogenicity:
Compare BCE_3965 expression levels between pathogenic and non-pathogenic strains
Analyze co-expression patterns with known virulence factors
Create knockout mutants and assess changes in virulence using in vitro and in vivo models
Screen for interactions between BCE_3965 and known virulence factors
Evaluate BCE_3965 contribution to stress responses that might enhance survival during infection
These approaches can reveal whether BCE_3965 contributes directly or indirectly to B. cereus pathogenicity .
B. cereus demonstrates significant genomic variability, with strains ranging from harmless to potentially lethal . Investigating BCE_3965 conservation and variation across different strains can provide insights into its evolutionary significance and potential specialized functions. Employ the following methodological approaches:
Comparative genomic analysis: Align BCE_3965 sequences from multiple B. cereus strains to identify conserved regions and polymorphisms
Phylogenetic analysis: Construct phylogenetic trees to understand evolutionary relationships
Structure-function correlation: Map sequence variations to predicted structural features
Expression analysis: Compare expression patterns of BCE_3965 across different strains under various conditions
Functional conservation testing: Conduct complementation studies using BCE_3965 from different strains
This comparative approach may reveal whether BCE_3965 contributes to strain-specific characteristics or represents a core function conserved across the B. cereus group .
To elucidate the interaction network of BCE_3965, employ a combination of in vitro, in vivo, and in silico approaches:
Affinity purification-mass spectrometry (AP-MS): Identify protein complexes containing BCE_3965
Proximity-dependent biotin identification (BioID): Map the cellular neighborhood of BCE_3965
Surface plasmon resonance (SPR): Determine binding kinetics of identified interactions
Microscale thermophoresis (MST): Measure interactions under near-native conditions
Förster resonance energy transfer (FRET): Visualize interactions in living cells
Molecular docking and molecular dynamics simulations: Predict and validate structural basis of interactions
Validation through multiple complementary techniques is essential to distinguish genuine interactions from experimental artifacts. Control experiments should include tag-only controls and non-specific binding assessments .
Next-generation sequencing techniques offer powerful approaches to functional characterization:
RNA-Seq: Identify genes co-regulated with BCE_3965 under various conditions
ChIP-Seq: If BCE_3965 has DNA-binding capabilities, map its genomic binding sites
Ribo-Seq: Determine if BCE_3965 affects translation efficiency of specific transcripts
CLIP-Seq: Identify any RNA interactions if BCE_3965 has RNA-binding potential
Tn-Seq: Identify genetic interactions through transposon mutagenesis screens
Whole-genome sequencing of evolved strains: Identify compensatory mutations in BCE_3965 mutants
Integrate these datasets using bioinformatic approaches to construct functional hypotheses that can be tested experimentally .
Determining the structure of BCE_3965 is crucial for function prediction. Consider these methodological approaches:
X-ray crystallography: Attempt crystallization trials using sparse matrix screens with various protein concentrations and precipitants
NMR spectroscopy: For structural determination in solution, especially useful for identifying dynamic regions
Cryo-electron microscopy: Particularly useful if BCE_3965 forms larger complexes
Small-angle X-ray scattering (SAXS): For low-resolution shape information in solution
Hydrogen-deuterium exchange mass spectrometry (HDX-MS): To identify flexible regions and binding interfaces
For each method, protein sample quality is paramount. Implement rigorous quality control using dynamic light scattering, circular dichroism, and thermal shift assays to ensure sample homogeneity before structural studies .
Computational approaches provide valuable structural insights when experimental data is limited:
Homology modeling: Construct structural models based on related proteins with known structures
Ab initio modeling: Predict structure from sequence alone using methods like AlphaFold2 or RoseTTAFold
Molecular dynamics simulations: Explore conformational dynamics and stability
Structure-based function prediction: Identify potential active sites or binding pockets
Virtual screening: Predict potential ligands or substrates that might interact with BCE_3965
The integration of computational predictions with even limited experimental data can significantly accelerate structure determination and functional characterization .
Detection of BCE_3965 requires selecting appropriate methods based on research context:
Western blotting: Using antibodies against BCE_3965 or its fusion tag for protein expression analysis
Immunofluorescence: For cellular localization studies
ELISA: For quantitative detection in complex samples
Mass spectrometry: For unbiased detection and potential post-translational modification identification
Real-time PCR: For transcript-level expression analysis
When developing detection methods, consider potential cross-reactivity with homologous proteins in the B. cereus group. Validation using BCE_3965 knockout controls is essential for confirming specificity .
Developing specific antibodies requires careful antigen design:
Epitope prediction: Identify unique, surface-exposed regions of BCE_3965
Peptide synthesis: Generate synthetic peptides corresponding to these regions
Recombinant immunization: Use purified BCE_3965 for whole-protein immunization
Hybridoma technology: For monoclonal antibody development
Phage display: For selecting high-affinity antibody fragments
Rigorous validation of antibody specificity is crucial, especially given the potential for cross-reactivity with homologous proteins within the B. cereus group. Test antibodies against multiple strains and closely related species to ensure specificity .
Modern gene editing approaches offer powerful tools for functional characterization:
CRISPR-Cas9 mutagenesis: Generate precise deletions or point mutations in BCE_3965
Inducible expression systems: Control BCE_3965 expression levels temporally
Complementation studies: Rescue mutant phenotypes with wild-type or modified BCE_3965
Promoter reporter fusions: Monitor BCE_3965 expression under various conditions
Domain swapping: Replace segments of BCE_3965 with corresponding regions from homologs
When designing gene editing experiments, consider potential polar effects on neighboring genes and implement appropriate controls, including complementation with the wild-type gene to confirm phenotypic specificity .
Transcriptomic analyses provide insights into the regulation and functional context of BCE_3965:
RNA-Seq: Compare global expression profiles between wild-type and BCE_3965 mutants
Quantitative RT-PCR: For targeted analysis of specific gene expression changes
Promoter analysis: Identify regulatory elements controlling BCE_3965 expression
Transcription start site mapping: Determine the precise start site and potential alternative promoters
Transcriptional regulator binding studies: Identify regulators controlling BCE_3965 expression
Integrating transcriptomic data with other genomic datasets can reveal co-regulated genes that may function in the same pathway as BCE_3965, providing clues to its biological role .
BCE_3965 research should be integrated with the broader context of B. cereus pathogenesis:
Compare BCE_3965 expression during infection models versus laboratory conditions
Investigate potential roles in stress responses relevant to host environments
Assess BCE_3965 contribution to biofilm formation, a critical virulence factor
Evaluate interactions with known virulence regulators
Determine if BCE_3965 affects production or secretion of established toxins
This integration provides context for understanding the relative importance of BCE_3965 in B. cereus biology and pathogenesis .
Established B. cereus detection methods can be modified to incorporate BCE_3965 analysis:
| Detection Method | Traditional B. cereus Application | Adaptation for BCE_3965 Study |
|---|---|---|
| Selective media culture | Enumeration of presumptive B. cereus | Integration with colony PCR for BCE_3965 |
| PCR-based detection | Identification of toxin genes | Inclusion of BCE_3965-specific primers |
| Real-time PCR | Quantification of B. cereus | Development of BCE_3965 expression assays |
| Immunological methods | Toxin detection | Development of BCE_3965-specific antibodies |
| Biosensors | Rapid B. cereus detection | Integration of BCE_3965 targeting elements |
When adapting these methods, it's important to validate specificity and sensitivity for BCE_3965 detection in the context of complex samples .
Researchers may encounter several challenges when working with BCE_3965:
Protein solubility issues: Optimize expression conditions (temperature, induction timing) or use solubility tags
Protein instability: Identify and implement stabilizing buffer conditions through thermal shift assays
Low expression yields: Test different expression hosts or codon-optimized constructs
Protein aggregation: Introduce additives like glycerol or low concentrations of detergents
Proteolytic degradation: Include protease inhibitors and minimize handling time
A systematic approach to optimization, testing multiple conditions in parallel, can efficiently identify optimal parameters for BCE_3965 expression and purification .
When faced with conflicting data about BCE_3965 function:
Verify reagent quality and experimental controls
Test function under different physiological conditions that might affect protein activity
Consider strain-specific differences that might influence results
Employ multiple, complementary techniques to assess the same functional hypothesis
Analyze potential post-translational modifications that might explain functional variability
Consider context-dependent functions that might vary based on cellular environment
Transparent reporting of conflicting results contributes valuable information to the field and can lead to important discoveries about context-dependent protein functions .
Several cutting-edge technologies hold potential for advancing BCE_3965 research:
Cryo-electron tomography: For visualizing BCE_3965 in its cellular context
Single-molecule tracking: To monitor dynamics and interactions in living cells
Microfluidics-based approaches: For high-throughput functional screening
Synthetic biology: To test functional hypotheses through engineered systems
Spatial transcriptomics: To map BCE_3965 expression in complex communities
AlphaFold2 and related AI approaches: For improved structural predictions
Early adoption of these emerging technologies can provide competitive advantages in BCE_3965 research and lead to novel insights not accessible through conventional approaches .
Research on BCE_3965 has implications beyond B. cereus biology:
Development of generalizable approaches for UPF characterization
Identification of novel protein functions potentially conserved across bacterial species
Refinement of bioinformatic prediction algorithms through experimental validation
Discovery of new antimicrobial targets if BCE_3965 serves essential functions
Advancement of methods for integrating multi-omics data in protein function determination