Recombinant Enterococcus faecalis UPF0133 protein EF_2780 (EF_2780)

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Product Specs

Form
Lyophilized powder
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Lead Time
Delivery times vary depending on the purchasing method and location. Please consult your local distributor for precise delivery estimates.
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Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to collect the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our standard glycerol concentration is 50% and serves as a reference.
Shelf Life
Shelf life depends on storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized formulations have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquot for multiple uses to prevent repeated freeze-thaw cycles.
Tag Info
Tag type is determined during the manufacturing process.
The tag type is determined during production. If you require a specific tag, please inform us for preferential development.
Synonyms
EF_2780Nucleoid-associated protein EF_2780
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-104
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Enterococcus faecalis (strain ATCC 700802 / V583)
Target Names
EF_2780
Target Protein Sequence
MMRGMGNMQG MMKQVQKMQK EMAKAQEALN EKEFIGEATN QLVTATFTGD RTMKDLIIKE DVVDPEDVDM LQDLVIMAVN DALVKIEKET EATLGKYTKG MPGF
Uniprot No.

Target Background

Function
This protein binds to DNA, altering its conformation. It may be involved in regulating gene expression, nucleoid organization, and DNA protection.
Database Links

KEGG: efa:EF2780

STRING: 226185.EF2780

Protein Families
YbaB/EbfC family
Subcellular Location
Cytoplasm, nucleoid.

Q&A

What is UPF0133 protein EF_2780 and how does it compare to other E. faecalis virulence factors?

EF_2780 belongs to the UPF0133 protein family, a group of uncharacterized proteins found in bacteria. While specific functions of EF_2780 remain to be fully elucidated, it can be compared with better-characterized E. faecalis virulence factors. E. faecalis contains several well-studied virulence factors including fibronectin-binding proteins like EfbA, which has been shown to bind with high affinity to fibronectin, collagen I, and collagen V . EfbA has been demonstrated to play an important role in endocarditis and urinary tract infections, contributing to bacterial adherence and biofilm formation . Unlike EfbA, which is a PavA-like fibronectin adhesin with established roles in pathogenesis, EF_2780's specific contribution to virulence remains to be determined through targeted research approaches.

What expression systems are most effective for producing recombinant EF_2780?

For recombinant expression of E. faecalis proteins, several systems have proven effective in previous studies. Based on research with similar E. faecalis proteins, E. coli-based expression systems using pET vectors with T7 promoters often yield good results for initial characterization. When expressing E. faecalis EfbA, researchers successfully used E. coli expression systems to produce purified recombinant protein for functional studies and immunization experiments . For EF_2780, optimization may involve testing different E. coli strains (BL21(DE3), Rosetta, Arctic Express) to address potential codon bias issues. If functional studies require post-translational modifications not supported in E. coli, researchers might consider Gram-positive expression hosts like Bacillus subtilis or Lactococcus lactis. Temperature, IPTG concentration, and growth media composition should be systematically optimized to maximize soluble protein yield.

How might EF_2780 be purified for structural and functional studies?

Purification of recombinant EF_2780 would typically involve a multi-step chromatography approach. Based on protocols used for other E. faecalis proteins, an effective strategy would include:

  • Affinity chromatography: Using His-tag or GST-tag systems for initial capture

  • Ion-exchange chromatography: To separate based on charge properties

  • Size-exclusion chromatography: For final polishing and buffer exchange

When purifying EfbA, researchers used nickel affinity chromatography followed by additional chromatographic steps to obtain protein of sufficient purity for functional assays and immunization . Protein stability should be monitored during purification using techniques like dynamic light scattering. Buffer optimization is critical, testing various pH conditions, salt concentrations, and stabilizing additives to maintain native conformation. For structural studies, additional purification steps may be necessary to achieve >95% purity required for crystallization or NMR studies.

What bioinformatic tools can predict structural features of EF_2780?

Structural prediction of EF_2780 would benefit from a comprehensive bioinformatics approach:

  • Sequence analysis: Tools like BLAST, Pfam, and InterPro to identify conserved domains and sequence similarities with characterized proteins

  • Secondary structure prediction: PSIPRED, JPred for alpha-helices and beta-sheets

  • Tertiary structure modeling: AlphaFold2, I-TASSER, or SWISS-MODEL for 3D structure prediction

  • Disorder prediction: PONDR, IUPred to identify potentially disordered regions

These analyses can provide insights into potential functional domains, evolutionary relationships, and structural features that may guide experimental design. Comparing the predicted structure with characterized bacterial virulence factors like MSCRAMMs (Microbial Surface Components Recognizing Adhesive Matrix Molecules), which are important in E. faecalis pathogenesis , might provide functional hypotheses. Additionally, the identification of potential binding sites or catalytic domains through structural prediction can guide mutational studies to validate function.

How can researchers investigate if EF_2780 contributes to biofilm formation?

Investigating EF_2780's potential role in biofilm formation would require a systematic approach:

  • Gene deletion studies: Create an EF_2780 knockout mutant in E. faecalis and compare biofilm formation with wild-type strains using crystal violet staining assays under various conditions (different glucose concentrations, pH levels, surface materials)

  • Complementation studies: Reintroduce EF_2780 into the knockout strain to confirm phenotype restoration, similar to approaches used with EfbA

  • Quantitative analysis: Use confocal laser scanning microscopy to assess biofilm architecture and thickness

  • Comparative studies: Test biofilm formation under conditions known to affect other E. faecalis biofilm-associated proteins

This approach would parallel methods used to study Esp (Enterococcal surface protein), which has been demonstrated to significantly enhance biofilm formation in E. faecalis . Research has shown that Esp expression leads to increased biofilm formation, particularly in the presence of glucose concentrations of 0.5% or higher . Researchers should systematically test different glucose concentrations from 0% to 1% to determine if EF_2780's potential effect on biofilm is similarly glucose-dependent.

What experimental approaches can determine if EF_2780 contributes to E. faecalis virulence?

To assess EF_2780's potential role in virulence, researchers should employ:

  • Animal infection models: Using established E. faecalis infection models such as:

    • Endocarditis rat model (similar to EfbA studies)

    • Murine ascending UTI model

    • Systemic infection models

  • Competitive index assays: Co-infect animals with wild-type and EF_2780 knockout strains to determine relative fitness in vivo

  • Host cell interaction studies: Examine adherence to and invasion of relevant host cell types (epithelial cells, endothelial cells, immune cells)

  • Immune response analysis: Measure host immune responses to wild-type versus EF_2780 mutant strains

Studies with EfbA demonstrated its importance in pathogenesis through deletion mutant studies in rat endocarditis models, where virulence was significantly attenuated (P < 0.0006) compared to wild-type . Similar mixed inoculum approaches could be effective for studying EF_2780's contribution to virulence. Additionally, researchers should assess if recombinant EF_2780 vaccination provides protection against E. faecalis infection, as was demonstrated with rEfbA immunization in endocarditis models .

How can researchers identify potential binding partners of EF_2780?

To identify binding partners of EF_2780, researchers should employ multiple complementary approaches:

  • Pull-down assays: Using purified recombinant EF_2780 as bait to capture interacting proteins from host cell lysates or extracellular matrix components

  • Surface plasmon resonance (SPR): To quantitatively measure binding affinities with candidate ligands

  • Bacterial two-hybrid systems: For detecting protein-protein interactions

  • Enzyme-linked immunosorbent assay (ELISA): To screen binding to extracellular matrix proteins

  • Cross-linking mass spectrometry: To capture transient or weak interactions

Similar approaches have been used to characterize other E. faecalis surface proteins like EfbA, which was shown to bind with high affinity to fibronectin, collagen I, and collagen V . Researchers should systematically test binding to host extracellular matrix components (fibronectin, various collagen types, laminin, fibrinogen) as these are common targets for bacterial adhesins. Additionally, investigating if EF_2780 shares binding properties with other characterized MSCRAMMs in E. faecalis could provide insights into its functional role .

How should researchers design gene deletion experiments to study EF_2780 function?

Effective gene deletion experiments for EF_2780 should include:

  • Targeted deletion strategy: Using allelic exchange techniques that preserve reading frames of surrounding genes to avoid polar effects

  • Multiple mutant verification methods:

    • PCR verification of gene deletion

    • RT-qPCR to confirm absence of transcript

    • Western blot to confirm absence of protein

    • Whole genome sequencing to verify no off-target mutations

  • Complementation controls: Reintroduction of EF_2780 into the original chromosomal location to restore wild-type phenotype

  • Phenotypic characterization pipeline:

    • Growth curves in various media

    • Biofilm formation

    • Adherence to relevant host components

    • Stress resistance profiles

    • Virulence in appropriate animal models

This approach parallels successful strategies used in EfbA studies, where deletion mutants showed diminished fibronectin binding (P < 0.0001) and reduced biofilm formation (P < 0.001), while reintroduction of efbA restored these phenotypes to wild-type levels . Researchers should ensure that the knockout strain is thoroughly characterized under multiple growth conditions to identify potential conditional phenotypes that might be missed in standard assays.

What controls are essential when evaluating EF_2780's role in bacterial adhesion and invasion?

When evaluating adhesion and invasion properties, critical controls include:

  • Strain controls:

    • Wild-type parent strain (positive control)

    • Known adhesion-deficient mutant strain (negative control)

    • Complemented EF_2780 mutant strain

    • Mutants in genes with related functions

  • Host cell controls:

    • Multiple relevant cell types (epithelial, endothelial, immune cells)

    • Cells treated with inhibitors of specific uptake mechanisms

    • Fixed cells to distinguish adhesion from active invasion

  • Technical controls:

    • Gentamicin protection assays to distinguish adherent from internalized bacteria

    • Microscopy verification of adhesion/invasion events

    • Controls for potential growth rate differences between strains

Studies on EfbA demonstrated its role in fibronectin binding using similar controlled approaches, allowing researchers to determine its contribution to E. faecalis virulence . When examining EF_2780, researchers should include parallel experiments with known adhesins like EfbA or Esp to provide comparative context for any observed phenotypes .

What approaches can determine if EF_2780 is surface-exposed or secreted?

Determining the cellular localization of EF_2780 requires multiple complementary techniques:

  • Fractionation studies:

    • Rigorous cell fractionation to separate cytoplasmic, membrane, and cell wall fractions

    • Western blot analysis of each fraction with EF_2780-specific antibodies

    • Inclusion of known markers for each cellular compartment as controls

  • Surface accessibility assays:

    • Flow cytometry with antibodies against EF_2780

    • Surface proteolysis followed by mass spectrometry

    • Surface biotinylation followed by pulldown and detection

  • Immunoelectron microscopy:

    • Gold-labeled antibodies to visualize EF_2780 localization at ultrastructural level

    • Multiple fixation and embedding techniques to preserve antigenicity

This approach is similar to methods used to characterize the localization of EfbA, which was found to be an anchorless protein localized to the enterococcal cell outer surface . For putative surface proteins like EF_2780, researchers should be particularly careful to include controls for potential cell lysis or membrane permeability issues that could lead to false positive results in surface localization studies.

How should researchers analyze transcriptomic data to understand EF_2780 expression?

Analysis of transcriptomic data for EF_2780 should include:

  • Expression profiling:

    • Comparison across different growth phases

    • Response to environmental stressors (pH, temperature, antibiotics)

    • Expression during infection or biofilm formation

    • Comparison between clinical and commensal isolates

  • Co-expression analysis:

    • Identification of genes with similar expression patterns

    • Correlation with known virulence factors

    • Pathway enrichment analysis of co-regulated genes

  • Regulatory network analysis:

    • Identification of potential transcription factor binding sites

    • Comparison with regulons of known master regulators like fsr

    • Integration with ChIP-seq data if available

A similar approach could be used to study EF_2780 as was used for other virulence factors in E. faecalis, such as analyzing expression differences between commensal and pathogenic strains . When analyzing EF_2780 expression, researchers should pay particular attention to conditions that trigger expression of other virulence factors, such as the presence of glucose for Esp-mediated biofilm formation .

How can researchers interpret contradictory results regarding EF_2780 function?

When facing contradictory results regarding EF_2780 function, researchers should:

  • Methodological reconciliation:

    • Carefully compare experimental conditions between studies

    • Assess strain background differences (clinical vs. laboratory strains)

    • Evaluate differences in assay sensitivity and specificity

    • Consider the impact of growth conditions on gene expression

  • Multi-model validation:

    • Test hypotheses across multiple experimental systems

    • Compare in vitro, ex vivo, and in vivo findings

    • Use both gain-of-function and loss-of-function approaches

  • Contextual analysis:

    • Consider potential redundancy with other proteins

    • Evaluate strain-specific genetic backgrounds

    • Assess host factor contributions to observed phenotypes

Studies of E. faecalis virulence factors have shown that results can vary based on experimental conditions. For example, research on Esp initially suggested it was essential for biofilm formation, but later studies showed enterococci can form biofilms independently of Esp expression under certain conditions . This highlights the importance of testing multiple conditions and using complementary approaches when studying bacterial virulence factors like EF_2780.

What statistical approaches are most appropriate for analyzing EF_2780 knockout phenotypes?

Rigorous statistical analysis of EF_2780 knockout phenotypes should include:

  • Power analysis:

    • A priori determination of sample sizes needed to detect biologically relevant differences

    • Consideration of effect sizes observed with similar virulence factors

  • Appropriate statistical tests:

    • Student's t-test or Mann-Whitney U test for simple comparisons

    • ANOVA with appropriate post-hoc tests for multiple comparisons

    • Mixed-effects models for repeated measures designs

    • Survival analysis for infection outcome data

  • Comprehensive reporting:

    • Clear statement of exact P-values (as done in EfbA studies where P < 0.0006 for virulence attenuation)

    • Effect sizes and confidence intervals

    • Detailed description of statistical methods and software

  • Multiple testing correction:

    • Appropriate adjustment for multiple comparisons (Bonferroni, Benjamini-Hochberg)

    • Control of false discovery rate in high-throughput analyses

Studies with EfbA demonstrated the importance of robust statistical analysis, reporting specific P-values for virulence attenuation (P < 0.0006), reduced fibronectin binding (P < 0.0001), and decreased biofilm formation (P < 0.001) . Similar rigorous statistical approaches should be applied when analyzing EF_2780 knockout phenotypes.

Could EF_2780 serve as a potential vaccine target against E. faecalis infections?

Evaluating EF_2780 as a vaccine target requires systematic assessment:

  • Immunogenicity analysis:

    • Testing antibody response to recombinant EF_2780 in animal models

    • Characterizing T-cell responses

    • Evaluating memory responses and duration of protection

  • Protection studies:

    • Vaccination followed by challenge in multiple infection models

    • Comparison with other E. faecalis vaccine candidates

    • Dose-response studies to determine optimal immunization strategies

  • Cross-protection analysis:

    • Sequence conservation analysis across clinical isolates

    • Testing protection against diverse E. faecalis strains

    • Potential cross-protection against other Enterococcus species

This approach mirrors successful vaccination studies with EfbA, where purified recombinant EfbA protein protected rats against E. faecalis endocarditis (P = 0.008 versus control), likely by interfering with bacterial adherence . Researchers should also consider evaluating combinations of recombinant antigens, as a multi-component vaccine targeting several virulence factors might provide more robust protection than single-antigen approaches.

How might EF_2780 research contribute to understanding antibiotic resistance mechanisms?

Investigating connections between EF_2780 and antibiotic resistance should explore:

  • Expression correlation:

    • Analysis of EF_2780 expression in response to antibiotic exposure

    • Comparison between susceptible and resistant strains

    • Temporal expression changes during resistance development

  • Functional studies:

    • Impact of EF_2780 deletion on minimum inhibitory concentrations

    • Effects on membrane permeability or efflux pump activity

    • Potential interactions with known resistance determinants

  • Clinical correlations:

    • Expression levels in isolates with different resistance profiles

    • Association with specific resistance mechanisms

    • Potential biomarker value for predicting treatment outcomes

Understanding EF_2780's potential role in resistance is particularly relevant given the increasing prevalence of drug-resistant E. faecalis strains. Approximately 10% of E. faecalis isolates are vancomycin-resistant, representing a significant clinical challenge . Research should explore whether EF_2780 contributes to the resilience of E. faecalis in antimicrobial-rich environments like hospitals, where it has become an important healthcare-associated infection agent.

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