The UPF0301 family represents a group of uncharacterized bacterial proteins with conserved structural features but undefined functions. Coxiella burnetii UPF0301 protein CBU_2093 is annotated as a hypothetical protein in genomic databases, with limited functional or structural data reported in peer-reviewed literature.
Host-Pathogen Interactions: No studies directly link CBU_2093 to C. burnetii’s Dot/Icm type IV secretion system (T4SSB), vacuole formation, or immune evasion.
Vaccine Development: Recombinant C. burnetii proteins (e.g., Com1, Mip, OmpA) have been tested as vaccine candidates, but CBU_2093 is absent from these studies .
Serological Testing: Proteins like Com1 and CBU_1718 show promise in diagnostic assays, but CBU_2093 lacks validation in ELISA or multiplex platforms .
Antigenicity: No evidence of CBU_2093-specific antibodies in infected hosts or immunized models.
Experimental Validation: Requires transposon mutagenesis or CRISPR-based knockout to assess virulence or replication phenotypes.
Protein-Protein Interaction (PPI) Mapping: AP-MS or yeast two-hybrid studies could reveal host targets or bacterial partners .
Structural Biology: X-ray crystallography or cryo-EM to resolve tertiary structure.
Several expression systems have been validated for CBU_2093 production, each with specific advantages. E. coli and yeast expression systems offer the highest yields and most rapid production timelines for basic structural studies . Insect cells with baculovirus vectors and mammalian cell systems provide the necessary posttranslational modifications that may be critical for maintaining proper protein folding and biological activity . For projects requiring high-throughput expression, E. coli remains the preferred system, while functional studies requiring native protein characteristics benefit from insect or mammalian expression systems.
When designing your expression strategy, consider the following comparison of expression systems:
| Expression System | Yield | Production Time | Post-translational Modifications | Application Suitability |
|---|---|---|---|---|
| E. coli | High | Short (2-3 days) | Minimal | Structural studies, preliminary assays |
| Yeast | High | Moderate (3-5 days) | Moderate | Balance of yield and modifications |
| Baculovirus/Insect | Moderate | Longer (5-7 days) | Extensive | Functional studies, activity assays |
| Mammalian | Lower | Longest (7-14 days) | Most extensive | Native activity studies, interaction studies |
The full-length CBU_2093 protein consists of 194 amino acids with the following sequence: MRLSGDPRIL SVIMVKTNIL SNHFLVAMPQ LNDFTFTKAV IYVSQHDAKG ALGIIINRPL ALTLGKVLEH LNIEIAQPQI ANHPVLMGGP IGQEHGFIVY EQESPQGAEI LLSASKDMLD DIAKNKGPDD FLITLGYAGW EAGQLENEIA RNDWLVVPFN RKILFETPLK SRWQKAAALI GVDINQLSGQ IGHA .
Structural analysis indicates potential functional domains involved in cellular processes, though the precise function remains under investigation. The protein's molecular weight is approximately 21.5 kDa before considering any post-translational modifications or expression tags. When designing experiments, be mindful that different expression tags may alter protein behavior and that the native structure may be sensitive to purification conditions.
CBU_2093 has been identified as a potential subunit vaccine antigen candidate for Coxiella burnetii vaccines . When developing subunit vaccine formulations incorporating this protein, consider the following methodological approach:
Expression optimization: Select expression systems that preserve immunogenic epitopes
Adjuvant selection: CBU_2093 has been studied in conjunction with TLR (Toll-Like Receptor) agonists and various adjuvant formulations
Conjugation strategies: Both non-specific and site-specific conjugation methods have been developed
Research indicates that CBU_2093 may function effectively as part of multi-antigen vaccine formulations. When designing experiments, consider evaluating CBU_2093 both independently and in combination with other C. burnetii antigens such as CBU1061a, CBU0499, and CBU0381 . The immunogenicity of these combinations may provide synergistic effects that are not observable with single-antigen formulations.
When designing experiments incorporating CBU_2093 with TLR agonists for enhanced immune responses, researchers should consider multiple conjugation strategies:
Non-specific NHS-mediated conjugation: While simpler to implement, this approach results in heterogeneous products with varied conjugation sites
Site-specific conjugation: Using techniques like tris-NTA mediated complexation to control the conjugation location and stoichiometry
Multi-TLR agonist systems: Research suggests that tri-agonist systems targeting multiple TLRs simultaneously (such as TLR4_7_9 combinations) may provide more robust immune responses compared to single TLR activation
When evaluating the efficacy of these conjugated systems, implement comprehensive immune response profiling including:
Cytokine expression profiling (both in vitro and in vivo)
Antibody titer assessment
T-cell response characterization
Protection assessment in challenge models
When encountering expression difficulties with recombinant CBU_2093, implement a systematic troubleshooting approach:
Expression system evaluation:
For E. coli expression: Test multiple strains (BL21(DE3), Rosetta, etc.) and optimize induction parameters (temperature, IPTG concentration, induction time)
For yeast systems: Evaluate Pichia pastoris vs. Saccharomyces cerevisiae and optimize methanol induction protocols
For insect/mammalian systems: Optimize viral titer and harvest timing
Solubility enhancement strategies:
Fusion protein approaches (MBP, SUMO, GST tags)
Co-expression with chaperones
Adjustment of lysis buffer composition (detergents, salt concentration)
Purification optimization:
Multi-step purification combining affinity, ion exchange, and size exclusion chromatography
Stability assessment at different pH and buffer conditions
Implementing protease inhibitors throughout the purification process
Particularly challenging cases may require resorting to denaturation and refolding strategies, though this approach often yields lower activity than native purification methods.
A robust purification strategy for CBU_2093 typically involves a multi-stage approach:
Initial capture: Affinity chromatography utilizing the protein's expression tag (His-tag, Avi-tag, etc.)
For His-tagged proteins: IMAC purification with Ni-NTA or Co-NTA resins
For biotinylated proteins: Streptavidin affinity chromatography
Intermediate purification: Ion exchange chromatography
Based on theoretical pI of the protein
Generally, anion exchange at pH 8.0 provides good separation from contaminants
Polishing: Size exclusion chromatography
Removes aggregates and separates monomeric protein
Allows buffer exchange into final storage formulation
For maximum purity (>95%), combine these techniques sequentially, analyzing purity by SDS-PAGE and/or Western blot at each stage. When working with CBU_2093 expressed in E. coli, be particularly vigilant about endotoxin removal, which can be accomplished through specific endotoxin removal resins or Triton X-114 phase separation.
Comprehensive quality assessment of purified CBU_2093 requires multiple analytical approaches:
Purity assessment:
Structural integrity:
Circular dichroism for secondary structure verification
Thermal shift assays for stability assessment
Limited proteolysis to identify domain boundaries
Functional assessment:
Biological activity:
Cell-based assays relevant to hypothesized function
For vaccine applications: In vitro dendritic cell activation assays
Following purification, protein stability should be monitored under various storage conditions. Lyophilized preparations generally offer extended stability compared to solution formulations . For critical applications, activity assessment should be performed immediately before use rather than relying solely on quality control performed at the time of purification.
When designing TLR tri-agonist strategies incorporating CBU_2093, consider the following methodological approach:
Conjugation optimization:
Formulation development:
Evaluation of TLR1/2_4_7, TLR2/6_4_7, TLR1/2_4_9, TLR2/6_4_9, and TLR4_7_9 combinations
Assessment of emulsion vs. aqueous formulations
Immunization protocol design:
Prime-boost strategies with varying intervals
Route of administration optimization (subcutaneous vs. intramuscular vs. intranasal)
Research indicates that TLR tri-agonist formulations can dramatically enhance immune responses to subunit antigens through synergistic activation of multiple pattern recognition pathways . When designing experiments, implement comprehensive immune profiling including cytokine expression, antibody titers (including subclass distribution), and T-cell responses (both CD4+ and CD8+).
When designing stability studies for CBU_2093, implement a comprehensive approach addressing multiple degradation pathways:
Physical stability assessment:
Differential scanning calorimetry to determine melting temperature
Dynamic light scattering to monitor aggregation propensity
Freeze-thaw stability through multiple cycles
Chemical stability evaluation:
Oxidation susceptibility (methionine and cysteine residues)
Deamidation risk (asparagine residues)
Proteolytic sensitivity
Formulation optimization:
pH screening (typically pH 6.0-8.0)
Buffer composition comparison
Excipient screening (sugars, amino acids, surfactants)
For accelerated stability studies, employ stress testing at elevated temperatures (25°C, 37°C, 45°C) with regular sampling for analytical characterization. Stability in biological matrices (serum, cell culture media) should be separately evaluated through activity retention measurements after incubation .
When designing challenge studies to evaluate vaccine candidates containing CBU_2093, consider this methodological framework:
Animal model selection:
Mouse models for initial screening
Guinea pig models for more translatable results
Selection based on susceptibility to C. burnetii infection
Vaccination protocol:
Prime-boost regimens with optimized intervals
Dosage determination through dose-escalation studies
Adjuvant comparison (alum vs. oil-in-water vs. TLR agonist formulations)
Challenge protocol design:
Protection evaluation:
Bacterial burden quantification in tissues
Histopathological assessment
Clinical scoring systems
Survival analysis where appropriate
When comparing to established vaccines like Q-Vax, implement identical challenge protocols to enable direct efficacy comparisons . Comprehensive immune profiling pre-challenge can help identify correlates of protection that may guide future vaccine optimization efforts.
In vivo biotinylation of CBU_2093 provides significant advantages for various applications. The methodology employs AviTag-BirA technology, where E. coli biotin ligase (BirA) catalyzes the covalent attachment of biotin to the specific lysine residue within the 15-amino acid AviTag peptide . This approach yields homogeneously biotinylated protein with predictable stoichiometry.
The biotinylated CBU_2093 enables numerous applications:
Protein interaction studies:
Surface plasmon resonance with streptavidin surfaces
Pull-down assays with streptavidin beads
Protein microarray development
Microscopy applications:
Single-molecule fluorescence studies
Super-resolution microscopy using streptavidin-fluorophore conjugates
Tracking protein localization in cellular contexts
Vaccine technology applications:
Oriented coupling to streptavidin-coated nanoparticles
Site-specific conjugation to adjuvant systems
Multimerization to enhance immunogenicity
Alternative biotinylation approaches include chemical biotinylation using NHS-biotin reagents, though these typically result in heterogeneous products with multiple biotinylation sites that may impact protein function.
When developing multi-antigen C. burnetii subunit vaccines incorporating CBU_2093, implement the following methodological approaches:
Antigen selection and prioritization:
Formulation strategies:
Protein mixtures with defined ratios
Co-expression of multiple antigens as fusion proteins
Protein nanoparticles displaying multiple antigens
Adjuvant optimization:
TLR agonist combinations tailored to the antigen set
Emulsion formulations for enhanced delivery
Nanoparticle encapsulation for co-delivery
Research indicates that multi-antigen formulations often provide superior protection compared to single-antigen approaches . When designing experiments, implement factorial design approaches to efficiently evaluate various antigen combinations rather than testing each formulation independently.
When encountering conflicting immunogenicity data for CBU_2093 across different experimental models, implement this systematic evaluation approach:
Model-specific factors assessment:
Species differences in immune recognition
Adjuvant interactions varying between models
Route of administration effects
Antigen preparation variables:
Expression system differences affecting post-translational modifications
Conformational integrity verification
Endotoxin contamination evaluation
Immune response profiling completeness:
Antibody response measurements (multiple isotypes)
T-cell response characterization (Th1/Th2/Th17 balance)
Innate immune activation assessment
Statistical analysis robustness:
Power analysis verification
Appropriate statistical tests
Multiple testing correction application
When reconciling conflicting data, conduct comparative experiments using standardized protocols across models. Differences in protein preparation quality and adjuvant selection frequently account for apparent contradictions in immunogenicity data.
Detection and characterization of post-translational modifications in CBU_2093 requires multiple complementary analytical approaches:
Mass spectrometry strategies:
Bottom-up proteomics for site identification
Top-down proteomics for intact mass analysis
Multiple fragmentation methods (CID, ETD, HCD)
Enrichment strategies for specific modifications:
Phosphorylation: TiO2 or IMAC enrichment
Glycosylation: Lectin affinity or hydrazide chemistry
Ubiquitination: Ubiquitin remnant antibodies
Site-directed mutagenesis:
Mutation of predicted modification sites
Functional impact assessment
Comparison with wild-type protein
When analyzing CBU_2093 expressed in different systems, be particularly attentive to system-specific modifications. E. coli-expressed protein will lack most eukaryotic modifications, while insect and mammalian cell expression will introduce various glycoforms that may affect protein function and immunogenicity.