Recombinant Vibrio vulnificus UPF0325 protein VV2560 (VV2560) is a protein produced in various expression systems, including yeast, E. coli, baculovirus, and mammalian cells . It is derived from the bacterium Vibrio vulnificus, an opportunistic pathogen known to cause primary septicemia and wound infections in humans .
Source: VV2560 can be produced in different host organisms, each offering unique advantages in terms of post-translational modifications and protein folding . The sources include:
Yeast
E. coli
Baculovirus
Mammalian cells
Purity: Recombinant VV2560 is manufactured to high purity standards, making it suitable for research and development applications .
Biotinylation: A specific form of recombinant VV2560 is biotinylated using the AviTag-BirA technology. This involves the E. coli biotin ligase (BirA) covalently attaching biotin to the 15 amino acid AviTag peptide, allowing for specific binding and detection in various assays .
The UPF0325 protein VV2560 is of unknown function, though studies suggest that it may play a role in virulence and pathogenesis within Vibrio species . Several Vibrio vulnificus proteins have been identified as virulence factors. Examples include:
Flagellins: V. vulnificus possesses multiple flagellin genes (flaA, -B, -C, -D, -E, and -F), with FlaB being a crucial component of the flagellum. FlaB has mucosal adjuvant activity and induces protective immunity by activating innate immune responses via the TLR5 signaling pathway .
OmpU: OmpU is a major outer membrane protein of V. vulnificus that binds to fibronectin, facilitating the adherence of the bacteria to host cells. Mutants lacking OmpU show reduced adherence and cytotoxicity .
MARTX toxin: V. vulnificus secretes the multifunctional-autoprocessing repeats-in-toxin (MARTX) toxin, which contains a cysteine protease domain (CPD) responsible for activating the toxin by cleaving the toxin precursor and releasing mature toxin fragments .
While the specific function of VV2560 remains under investigation, recombinant Vibrio vulnificus UPF0325 protein VV2560 (VV2560) is likely used in:
Antibody Production: For raising antibodies to study protein function and localization.
Binding Assays: To identify interacting partners and understand its role in cellular processes.
Structural Studies: To determine its three-dimensional structure and gain insights into its function .
Recombinant VV2560 is commercially available from suppliers such as Cusabio . It is offered in various forms and sizes, with specific details available upon inquiry.
Research indicates that ligand binding influences the proteolytic stability of Vibrio LuxR/HapR homologs like SmcR in V. vulnificus . For instance, PTSP, a thiophenesulfonamide compound, binds to the ligand binding pocket of SmcR, promoting protein degradation by the ClpAP protease . This mechanism suppresses downstream gene expression, affecting virulence gene expression in Vibrio pathogens .
VV2560 is a protein classified in the UPF0325 protein family that originates from Vibrio vulnificus strain YJ016. The "UPF" designation (Uncharacterized Protein Family) indicates that its precise biological function remains to be fully elucidated. According to the available data, VV2560 is a full-length protein consisting of 127 amino acids . The protein has been assigned the UniProt accession number Q7MIF7, which serves as its unique identifier in protein databases .
Based on available research materials, recombinant VV2560 can be produced using at least two different expression systems:
Yeast-based expression system (product code CSB-YP762679VCQ)
E. coli-based expression system (product code CSB-EP762679VCQ)
Each system offers distinct advantages for protein production. The yeast system may provide certain eukaryotic post-translational modifications, while the E. coli system typically allows for higher protein yields and more straightforward purification protocols. The choice between these systems would depend on specific research requirements, including the need for particular protein conformations or modifications.
When investigating an uncharacterized protein like VV2560, implementing a Completely Randomized Design (CRD) would be appropriate for initial experiments, particularly when working with homogeneous experimental material . The CRD approach offers flexibility in the number of treatments or replications that can be used, allowing researchers to tailor their experimental setup to the specific research question .
For more complex experimental scenarios involving multiple variables (such as different expression systems, buffer conditions, and environmental factors), researchers might consider a Latin Square Design. This approach would be particularly valuable when needing to control for three factors simultaneously, as it reduces the total number of experimental units required compared to a full factorial design while still maintaining experimental validity .
A comprehensive experimental approach should include:
Sequence analysis and structure prediction
Comparative expression analysis under different conditions
Protein-protein interaction studies
Phenotypic analysis of knockout/knockdown mutants
Functional assays based on predicted domains
Optimization of VV2560 expression requires systematic testing of multiple parameters. A structured experimental design approach is recommended, beginning with small-scale expression trials before scaling up. The experimental units should be divided appropriately and treatments assigned randomly to ensure statistical validity .
Key factors to optimize include:
For each optimization step, sufficient replication is essential (typically 3-5 replicates) to ensure statistical significance. Data should be analyzed using appropriate statistical methods such as ANOVA to determine the optimal conditions .
According to product documentation, the stability of recombinant VV2560 depends on several factors including storage state, buffer composition, temperature, and the intrinsic stability of the protein itself . Recommended storage and handling protocols include:
Long-term storage:
Working aliquots:
Reconstitution procedure:
These handling guidelines are critical for maintaining protein integrity and experimental reproducibility. The experimental design for a stability study would require systematic testing of various storage conditions with replicated samples analyzed at multiple time points.
A comprehensive structural analysis of VV2560 requires a multi-method approach:
Computational analysis:
Secondary structure prediction
Homology modeling based on related UPF0325 family proteins
Molecular dynamics simulations to predict stability and potential binding sites
Experimental structure determination:
X-ray crystallography (requires successful crystallization)
Nuclear Magnetic Resonance (NMR) for solution structure
Small-angle X-ray scattering (SAXS) for low-resolution envelope
Functional domain mapping:
Limited proteolysis to identify structured domains
Mutagenesis of conserved residues
Chimeric protein construction with related proteins
The experimental design for structural studies should incorporate appropriate controls and replication to ensure reliability of the results . For instance, when comparing different structural variants, a Randomized Block Design might be appropriate to control for batch-to-batch variation in protein preparation.
For an uncharacterized protein like VV2560, a systematic approach to functional characterization should include:
Genomic context analysis:
Examination of neighboring genes in the Vibrio vulnificus genome
Identification of potential operons or functionally related gene clusters
Comparative genomics:
Identification of homologs in related bacterial species
Correlation of presence/absence with specific phenotypes
Experimental function determination:
Generation of knockout mutants and phenotypic characterization
Transcriptomic/proteomic profiling of knockout vs. wild-type
High-throughput substrate screening if enzymatic activity is suspected
Protein-protein interaction studies:
Pull-down assays using tagged recombinant VV2560
Bacterial two-hybrid screening
In vivo crosslinking followed by mass spectrometry
Each experimental approach should be designed with proper controls and sufficient replication, using appropriate statistical designs such as CRD for initial screening and more structured designs for focused studies . The data generated should be analyzed using statistical methods appropriate for the experimental design, such as ANOVA for comparing multiple conditions.
When investigating potential post-translational modifications (PTMs) of VV2560, researchers should implement a systematic experimental approach:
Prediction of potential PTMs:
Computational analysis of sequence for modification motifs
Comparison with known modified proteins in the UPF0325 family
Experimental detection methods:
Mass spectrometry (MS) approaches:
Bottom-up proteomics with PTM-specific enrichment
Top-down proteomics for intact protein analysis
Targeted MS methods for specific modifications
Expression system considerations:
Functional impact assessment:
Site-directed mutagenesis of potential modification sites
Comparison of modified vs. unmodified protein activities
The experimental design should incorporate appropriate randomization and replication, with statistical analysis methods such as ANOVA to determine significant differences between treatment groups . A Latin Square Design might be particularly useful when comparing multiple expression systems and analytical methods simultaneously.
Effective quality control for recombinant VV2560 requires monitoring several critical parameters:
Purity assessment:
Identity confirmation:
Western blot with specific antibodies
Peptide mass fingerprinting
N-terminal sequencing
Structural integrity:
Circular dichroism to assess secondary structure
Fluorescence spectroscopy for tertiary structure assessment
Dynamic light scattering for aggregation analysis
Batch consistency:
Lot-to-lot comparison using standardized analytical methods
Reference standard comparison
Trend analysis for quality attributes over time
Each batch of recombinant VV2560 should be rigorously tested against these parameters before use in experiments. Statistical methods such as ANOVA can be used to analyze batch-to-batch variation and establish acceptance criteria .
Based on general principles of recombinant protein purification and the available information about VV2560, researchers may encounter several challenges:
| Challenge | Possible Causes | Recommended Solutions |
|---|---|---|
| Low expression yield | Codon bias, protein toxicity | Optimize codon usage, use inducible promoters, lower expression temperature |
| Inclusion body formation | Rapid expression, misfolding | Reduce induction temperature, co-express chaperones, optimize solubility tags |
| Co-purification of contaminants | Non-specific binding to purification resin | Increase wash stringency, add competitive agents, use multiple purification steps |
| Protein degradation | Protease activity, protein instability | Add protease inhibitors, reduce purification time, optimize buffer conditions |
| Loss of activity | Improper folding, missing cofactors | Screen buffer conditions, add potential cofactors, verify structure integrity |
Experimental approaches to address these challenges should be designed with appropriate controls and replication. For example, when optimizing purification conditions, a factorial design might be employed to systematically test combinations of buffer components, with the results analyzed by ANOVA to identify significant effects .
Ensuring reproducibility in experiments involving VV2560 requires rigorous attention to detail and standardized procedures:
Material standardization:
Experimental design considerations:
Protocol documentation:
Maintain detailed standard operating procedures (SOPs)
Record all experimental parameters precisely
Document any deviations from established protocols
Data management:
Implement systematic data organization and backup procedures
Use consistent naming conventions and metadata
Employ electronic laboratory notebooks with version control
Statistical considerations:
By implementing these practices, researchers can significantly improve the reproducibility of their experiments with VV2560 and enhance the reliability of their findings.
The choice of statistical methods for analyzing VV2560 functional studies depends on the experimental design and research questions:
For comparison between two conditions:
Student's t-test (parametric data)
Mann-Whitney U test (non-parametric data)
Sample size determination should be based on power analysis
For multiple condition comparisons:
One-way ANOVA followed by appropriate post-hoc tests (e.g., Tukey's HSD)
Kruskal-Wallis test for non-parametric data
Control for multiple comparisons using methods such as Bonferroni or FDR
For complex experimental designs:
For time-course experiments:
Repeated measures ANOVA
Linear mixed models
Time series analysis methods
Each statistical approach should be selected based on the experimental design used, with attention to assumptions such as normality and homogeneity of variance. The analysis should be performed using validated statistical software and results reported with appropriate measures of uncertainty.
When confronted with contradictory results in VV2560 research, a systematic approach to reconciliation is essential:
Methodological assessment:
Biological context considerations:
Assess potential strain differences in Vibrio vulnificus
Consider environmental or physiological factors that might influence protein function
Evaluate potential post-translational modifications in different expression systems
Resolution strategies:
Design critical experiments that directly address contradictions
Use orthogonal methods to test the same hypothesis
Implement blinded experimental procedures to reduce bias
Conduct meta-analysis if multiple studies exist
Statistical approaches:
Contradictory results often reveal important contextual dependencies of protein function and can lead to deeper understanding when properly investigated rather than dismissed.
Understanding the physiological role of VV2560 in its native organism requires a multifaceted research approach:
Genetic manipulation studies:
Generation of VV2560 knockout mutants in Vibrio vulnificus
Complementation studies to confirm phenotypes
Conditional expression systems to study essentiality
Phenotypic characterization:
Growth studies under various environmental conditions
Stress response testing (oxidative, osmotic, temperature)
Virulence assays if pathogenicity is suspected
Systems biology approaches:
Transcriptomic profiling of wildtype vs. knockout strains
Metabolomic analysis to identify biochemical pathways affected
Protein interaction network mapping
Comparative genomics:
Analysis of VV2560 conservation across Vibrio species
Correlation of gene presence with specific phenotypes
Evolutionary analysis to identify selective pressures
The experimental design for these studies should incorporate appropriate controls and sufficient replication to ensure statistical validity . The choice between CRD and more complex designs would depend on the specific research question and the nature of the experimental system.
Structural characterization of VV2560 can provide significant insights into the broader UPF0325 protein family:
Structure-function relationships:
Identification of conserved structural motifs across the family
Mapping of potential active sites or binding interfaces
Correlation of structural features with known functional data
Evolutionary insights:
Structural comparison with homologs from different species
Identification of conserved vs. variable regions
Reconstruction of evolutionary pathways within the protein family
Practical applications:
Structure-based prediction of function for other UPF0325 members
Design of targeted mutations to test functional hypotheses
Development of specific inhibitors or modulators if relevant
Technical approaches:
X-ray crystallography of VV2560 alone and in complexes
NMR studies for dynamic regions
Computational modeling validated by experimental data
The design of structural studies should consider various protein constructs, buffer conditions, and crystallization parameters. Statistical analysis of diffraction data quality and structure validation metrics would be essential for ensuring reliable structural models .