LMOf2365_2080 is classified as a UPF0348 family protein, a hypothetical or uncharacterized protein group often linked to bacterial pathogenicity. The recombinant form is produced in heterologous expression systems (E. coli, yeast, or mammalian cells) and purified for research applications . Key attributes include:
Serotype 4b is responsible for ~33% of human listeriosis cases and exhibits heightened virulence compared to other serotypes . Its pathogenicity mechanisms include:
Surface Adhesion: D-galactose residues enable intestinal translocation by binding host cell receptors .
Intracellular Survival: Capability to replicate within host cells, evading immune detection .
Lineage-Specific Traits: Genetic markers (e.g., lmo1134, lmo2821) distinguish virulent lineage I strains from less pathogenic lineage III variants .
LMOf2365_2080 is one of several serotype 4b-specific proteins under investigation for their roles in these processes .
Recombinant LMOf2365_2080 serves as a candidate antigen for vaccines targeting L. monocytogenes. Its surface-associated properties make it a viable target for eliciting immune responses . For example:
Antibody Production: Monoclonal antibodies (MAbs) against homologous proteins (e.g., IspC, a 77 kDa surface autolysin) have shown specificity for serotype 4b, with dissociation constants as low as M .
Cross-Reactivity: Certain MAbs targeting conserved epitopes in serotype 4b proteins demonstrate minimal cross-reactivity with non-4b isolates, enhancing diagnostic precision .
LMOf2365_2080’s serotype specificity supports its use in ELISA or lateral flow assays. For instance:
Lineage Differentiation: PCR and Southern blot analyses using serotype-specific primers (e.g., ORF2110) distinguish lineage I (epidemic-associated) from lineage III strains .
Epitope Mapping: Linear epitopes in cell wall-binding domains are critical for antibody-antigen interactions .
The table below contrasts LMOf2365_2080 with other recombinant proteins from L. monocytogenes serotype 4b:
While LMOf2365_2080’s exact role remains uncharacterized, its conservation in serotype 4b strains suggests involvement in pathogenicity. Current challenges include:
Future work should prioritize structural analysis and in vivo immunization trials to validate its utility in public health interventions.
KEGG: lmf:LMOf2365_2080
Recombinant Listeria monocytogenes serotype 4b UPF0348 protein LMOf2365_2080 (aa 1-390) belongs to the UPF0348 protein family. The complete amino acid sequence spans positions 1-390 of the native protein. The protein maintains its structural integrity when expressed as a recombinant form, and its three-dimensional configuration is crucial for its biological activity .
The methodological approach to structural characterization typically involves:
X-ray crystallography to determine precise atomic structure
Circular dichroism (CD) spectroscopy to assess secondary structure elements
Mass spectrometry for molecular weight confirmation
SDS-PAGE analysis for purity assessment and apparent molecular weight determination
Researchers should note that recombinant expression may introduce minor conformational differences compared to the native protein, particularly when using heterologous expression systems.
The choice of expression system significantly impacts protein yield, folding, and biological activity. For Recombinant Listeria monocytogenes serotype 4b UPF0348 protein LMOf2365_2080, several systems have been validated with varying advantages :
| Expression System | Advantages | Disadvantages | Typical Yield | Post-translational Modifications |
|---|---|---|---|---|
| E. coli | Rapid growth, high yield, cost-effective | Limited post-translational modifications | 10-50 mg/L | Minimal |
| Yeast | Moderate yield, eukaryotic processing | Longer production time than E. coli | 5-15 mg/L | Partial glycosylation |
| Baculovirus/Insect cells | Proper protein folding, mammalian-like modifications | Complex setup, higher cost | 1-10 mg/L | Near-native glycosylation |
| Mammalian cells | Most authentic modifications | Lowest yield, highest cost | 0.5-5 mg/L | Full native modifications |
The methodological recommendation is to begin with E. coli for initial characterization studies. If protein activity requires post-translational modifications, progress to eukaryotic systems. For vaccine development and immunological studies, mammalian or insect cell expression may provide proteins with more native-like epitope presentation .
Purification of Recombinant Listeria monocytogenes serotype 4b UPF0348 protein LMOf2365_2080 requires a multi-step approach. The recommended methodology includes:
Initial capture using affinity chromatography (if expressed with a tag)
Intermediate purification using ion exchange chromatography
Polishing step with size exclusion chromatography
Critical parameters to monitor include:
Buffer composition: Optimize pH and salt concentration to maintain protein stability
Temperature: Maintain 4°C throughout purification to minimize degradation
Protease inhibitors: Include throughout early purification steps
Reducing agents: Add if the protein contains disulfide bonds
For long-term storage, a buffer containing 50% glycerol in Tris-based solution is recommended, with storage at -20°C for regular use or -80°C for extended periods .
Recombinant Listeria monocytogenes serotype 4b LMOf2365_2080 protein has significant potential in vaccine development due to the unique immunological properties of Listeria monocytogenes. The protein can be utilized in several vaccine strategies:
As a purified subunit vaccine component
As an expressed antigen in recombinant Listeria monocytogenes vectors
As part of multi-epitope vaccine constructs
The immunological mechanism leverages Listeria monocytogenes' ability to access the host cell cytosol, allowing expressed proteins to enter the major histocompatibility complex (MHC) class I antigen processing pathway . This cytosolic access is particularly valuable for developing CD8+ T cell responses, which are critical for protection against intracellular pathogens.
For optimal vaccine development, researchers should:
Assess protein immunogenicity through epitope mapping
Determine dosage requirements through dose-response studies
Evaluate adjuvant requirements for enhanced immunogenicity
Monitor both humoral and cell-mediated immune responses
Evidence from related studies demonstrates that recombinant Listeria monocytogenes expressing heterologous antigens can confer protection against virulent pathogens, as shown in lymphocytic choriomeningitis virus (LCMV) challenge models .
Genetic manipulation of Listeria monocytogenes serotype 4b to modify UPF0348 protein LMOf2365_2080 expression requires careful consideration of several factors:
Integration site selection: Stable site-specific integration of expression cassettes into the Listeria monocytogenes genome is critical for reliable expression
Promoter selection: Constitutive versus inducible promoters affect expression timing and levels
Signal sequence optimization: For efficient secretion of the protein
A methodological approach includes:
Construction of integration vectors containing the UPF0348 protein LMOf2365_2080 gene
Transformation into Listeria monocytogenes through electroporation
Selection of stable integrants using appropriate antibiotics
Verification of integration through PCR and sequencing
Quantification of protein expression through Western blotting
Researchers should be aware that genetic modifications may affect bacterial virulence and growth characteristics. Comparative analysis between wild-type and recombinant strains is essential to identify any unintended consequences of genetic manipulation .
Comprehensive characterization of host immune responses to Recombinant Listeria monocytogenes serotype 4b UPF0348 protein LMOf2365_2080 requires multiple analytical approaches:
T cell response analysis:
Intracellular cytokine staining (ICS) for IFN-γ, TNF-α, and IL-2
ELISPOT assays for enumeration of antigen-specific T cells
T cell proliferation assays using CFSE dilution
Tetramer staining for identification of antigen-specific CD8+ T cells
Antibody response analysis:
ELISA for detection of antigen-specific antibodies
Neutralization assays to assess functional antibody activity
Isotype analysis (IgG, IgM, IgA) to determine antibody class switching
In vivo assessment:
Challenge studies to evaluate protective efficacy
In vivo depletion of specific immune cell populations (e.g., CD8+ T cells) to determine their contribution to protection
For data integration, multiparameter flow cytometry combined with computational analysis provides the most comprehensive assessment of immune responses. This allows for correlation between T cell functionality and protective efficacy .
When designing experiments to compare UPF0348 protein expression across different Listeria monocytogenes serotypes, researchers should implement:
Standardized growth conditions:
Define precise media composition
Maintain consistent temperature (typically 37°C)
Standardize growth phase for harvest (mid-log phase recommended)
Control oxygen levels (facultative anaerobic conditions)
Expression analysis methodology:
Quantitative real-time PCR for mRNA expression
Western blotting with densitometry for protein quantification
Mass spectrometry for absolute protein quantification
Flow cytometry for single-cell expression analysis
Experimental controls:
Include housekeeping genes/proteins as internal controls
Compare with related UPF family proteins (e.g., UPF0316)
Include different growth conditions to assess regulatory mechanisms
Statistical considerations:
Perform at least three biological replicates
Conduct power analysis to determine appropriate sample size
Apply appropriate statistical tests (ANOVA with post-hoc tests recommended)
This experimental design enables robust comparison across serotypes while controlling for variables that might influence expression levels .
Optimizing folding and stability of recombinant UPF0348 protein requires careful attention to several critical parameters:
Expression temperature:
Lower temperatures (15-25°C) often improve folding by slowing protein synthesis
Temperature optimization should be system-specific (e.g., 15°C for E. coli, 27°C for insect cells)
Buffer composition:
pH optimization typically within 6.5-8.0 range
Salt concentration (typically 100-500 mM NaCl)
Addition of stabilizing agents (glycerol, sucrose, arginine)
Redox environment:
Addition of reducing agents (DTT, β-mercaptoethanol) for proteins with free cysteines
Oxidizing conditions for proteins requiring disulfide bonds
Co-expression strategies:
Molecular chaperones (GroEL/GroES, DnaK/DnaJ)
Foldases (protein disulfide isomerases)
Storage conditions:
A systematic approach testing these parameters individually and in combination will yield optimal conditions for protein folding and stability.
When encountering discrepancies in experimental results with Recombinant Listeria monocytogenes serotype 4b UPF0348 protein, researchers should implement a structured troubleshooting approach:
Protein quality assessment:
Verify protein identity through mass spectrometry
Assess purity through SDS-PAGE and size exclusion chromatography
Confirm protein conformation through circular dichroism or fluorescence spectroscopy
Check for batch-to-batch variation
Experimental variables analysis:
Document all experimental conditions precisely
Assess reagent quality and preparation methods
Review equipment calibration and maintenance records
Verify cell line authentication and passage number
Statistical approach:
Increase sample size to improve statistical power
Apply appropriate statistical tests for the data distribution
Conduct outlier analysis using established statistical methods
Consider blinded experimental design to reduce bias
Cross-validation strategies:
Employ alternative experimental methodologies
Verify key findings in different laboratories
Compare results with related UPF proteins
Consult published literature for conflicting or supporting evidence
This systematic approach helps identify sources of variability and resolve experimental discrepancies .
For studying UPF0348 protein function in Listeria monocytogenes, several gene editing approaches have proven effective:
Homologous recombination:
Traditional method requiring selection markers
Typically used for gene knockouts and replacements
Requires long homology arms (500-1000 bp)
CRISPR-Cas9 system:
More precise and efficient than traditional methods
Allows for marker-less gene editing
Can be used for gene knockouts, knock-ins, and point mutations
Requires optimization of guide RNA design for Listeria monocytogenes
Site-specific recombination systems:
Inducible gene expression systems:
Tetracycline-responsive promoters
IPTG-inducible systems
Enables temporal control of gene expression
The methodological recommendation is to use CRISPR-Cas9 for initial gene knockout studies, followed by complementation with wild-type or mutant genes using site-specific recombination systems. This combination provides both gene deletion and functional complementation capabilities.
Comprehensive characterization of UPF0348 protein post-translational modifications (PTMs) requires optimized mass spectrometry (MS) approaches:
Sample preparation strategies:
Enrichment methods for specific PTMs (e.g., phosphopeptide enrichment using TiO2)
Multiple proteolytic enzymes (trypsin, chymotrypsin, Glu-C) for improved sequence coverage
Offline fractionation (SCX, HILIC) to reduce sample complexity
MS acquisition methods:
Data-dependent acquisition (DDA) for discovery
Parallel reaction monitoring (PRM) for targeted analysis
Data-independent acquisition (DIA) for comprehensive PTM mapping
Electron transfer dissociation (ETD) or electron capture dissociation (ECD) for labile modifications
Data analysis workflow:
Search against multiple PTM databases
Apply false discovery rate control at both peptide and PTM site levels
Implement site localization algorithms (e.g., PTM score, Ascore)
Quantify PTM stoichiometry using label-free or labeled approaches
Validation strategies:
Targeted MS methods for confirmatory analysis
Biochemical assays for functional validation
Site-directed mutagenesis to confirm PTM sites
This integrated approach provides comprehensive characterization of PTMs, their stoichiometry, and their biological significance .
Analyzing UPF0348 protein evolution across Listeria species requires a comprehensive bioinformatic approach:
Sequence retrieval and alignment:
Collect UPF0348 protein sequences from all available Listeria species
Perform multiple sequence alignment using MUSCLE or MAFFT
Refine alignments manually to account for insertions/deletions
Phylogenetic analysis:
Apply maximum likelihood (RAxML, IQ-TREE) and Bayesian inference (MrBayes) methods
Implement appropriate substitution models (LG, WAG, JTT)
Assess node support through bootstrap replication and posterior probabilities
Root trees using appropriate outgroups (related bacterial genera)
Evolutionary rate analysis:
Calculate dN/dS ratios to identify selection pressures
Implement site-specific models to detect positively selected residues
Apply branch-site models to identify lineage-specific selection
Structural mapping:
Map conserved and variable regions onto 3D protein structures
Identify functionally important domains through conservation analysis
Correlate evolutionary rates with structural features
Comparative genomic context:
Analyze gene neighborhood conservation
Identify operon structures and potential co-evolving genes
Assess horizontal gene transfer events through anomalous GC content or codon usage
This comprehensive approach provides insights into UPF0348 protein evolution, functional constraints, and potential species-specific adaptations .
Recombinant Listeria monocytogenes serotype 4b UPF0348 protein offers several approaches for developing novel diagnostic methods for listeriosis:
Serological assays:
Development of ELISAs using purified UPF0348 protein as capture antigen
Lateral flow immunoassays for rapid point-of-care testing
Multiplexed bead-based assays combining UPF0348 with other Listeria antigens
Molecular diagnostic approaches:
PCR primers targeting the UPF0348 gene for species and serotype identification
LAMP (Loop-mediated isothermal amplification) assays for field-deployable diagnostics
High-resolution melt curve analysis for strain differentiation
Biosensor development:
Aptamer-based biosensors using UPF0348 protein as target
Surface plasmon resonance (SPR) systems for antibody detection
Electrochemical impedance spectroscopy for sensitive detection
Multi-antigen approaches:
Combine UPF0348 protein with other serotype-specific markers
Develop serotype-specific fingerprinting methodology
Implement machine learning algorithms for pattern recognition
The methodological recommendation is to begin with ELISA development using purified recombinant protein, followed by validation against clinical samples. For point-of-care applications, lateral flow assays provide the best balance of sensitivity, specificity, and ease of use .
When designing experiments to evaluate UPF0348 protein interaction with host immune receptors, researchers should consider:
Protein preparation:
Endotoxin removal is critical to prevent TLR4 activation artifacts
Protein folding verification through circular dichroism
Tagged versus untagged protein comparison to assess tag interference
Concentration range determination through dose-response studies
Receptor interaction analysis:
Surface plasmon resonance (SPR) for binding kinetics
Bio-layer interferometry for real-time interaction analysis
Co-immunoprecipitation for complex identification
FRET/BRET for proximity assessment in living cells
Cellular response assessment:
Reporter cell lines expressing specific pattern recognition receptors
Primary immune cell activation (DCs, macrophages, NK cells)
Cytokine profiling (Luminex, ELISA, intracellular cytokine staining)
Transcriptomic analysis to identify downstream signaling pathways
In vivo validation:
Receptor knockout mouse models
Blocking antibody studies
Adoptive transfer experiments
Comparative analysis across different species
This comprehensive approach ensures robust identification of receptor interactions while accounting for potential experimental artifacts .
Development of UPF0348 protein-based subunit vaccines against Listeria monocytogenes requires a systematic approach:
Antigen optimization:
Epitope mapping to identify immunodominant regions
Structure-based design to enhance stability and immunogenicity
Expression system selection for proper folding and post-translational modifications
Multivalent construct design incorporating multiple antigens
Adjuvant selection:
TLR agonists (e.g., CpG, Poly I:C) for Th1-biased responses
Alum for enhanced antibody responses
Oil-in-water emulsions for balanced responses
Liposomal formulations for enhanced delivery
Delivery system development:
Nanoparticle encapsulation for controlled release
Virus-like particles for enhanced immunogenicity
Needle-free delivery systems for mucosal immunity
Prime-boost strategies with varying delivery platforms
Evaluation methodology:
In vitro antigen presentation assays
Ex vivo T cell activation studies
Challenge studies in appropriate animal models
Correlates of protection analysis
The recommended approach is to begin with a thorough epitope mapping of UPF0348 protein, followed by rational design of constructs incorporating immunodominant epitopes. Testing multiple adjuvant combinations is essential, with particular emphasis on those that promote strong CD8+ T cell responses, which are critical for protection against Listeria monocytogenes .
Several emerging technologies show significant promise for enhancing recombinant UPF0348 protein expression and purification:
Cell-free protein synthesis systems:
Bypass cellular growth limitations
Rapid iteration of expression conditions
Direct incorporation of non-canonical amino acids
Elimination of cell lysis steps
Continuous-flow protein production:
Integrated expression and purification
Reduced product degradation
Consistent protein quality
Scalable production capacity
Machine learning-guided optimization:
Predictive modeling of expression parameters
Design of experiment (DoE) approaches
Process analytical technology integration
Real-time process adjustment
Alternative affinity tags and purification methods:
Self-cleaving intein tags
Elastin-like polypeptide purification
Nanobody-based affinity chromatography
Continuous chromatography systems
Synthetic biology approaches:
Genome-minimized expression hosts
Codon optimization algorithms
Ribosome binding site calculators
Synthetic promoter design
These technologies are expected to significantly improve protein yield, quality, and production efficiency in the coming years .
Structural studies of UPF0348 protein have significant potential to advance our understanding of Listeria monocytogenes pathogenesis through several avenues:
Functional annotation:
Structure-based function prediction
Active site identification
Protein-protein interaction surfaces
Comparison with structurally similar proteins of known function
Virulence mechanism insights:
Structural features that facilitate host cell interaction
Conformational changes associated with virulence
Potential involvement in secretion systems
Structural determinants of host specificity
Drug target validation:
Identification of druggable pockets
Structure-based drug design
Rational design of inhibitors
Virtual screening for potential antimicrobials
Host-pathogen interaction mapping:
Co-crystal structures with host proteins
Structural basis for immune evasion
Contribution to intracellular survival
Involvement in host cell modulation
The methodological approach should combine X-ray crystallography or cryo-electron microscopy with molecular dynamics simulations to understand both static structure and dynamic behavior. These insights could reveal previously unrecognized roles of UPF0348 protein in Listeria monocytogenes pathogenesis .
Advanced computational approaches offer promising avenues for predicting novel functions and interactions for UPF0348 protein:
Structure-based function prediction:
Threading and fold recognition
Active site prediction and comparison
Protein-protein docking simulations
Molecular dynamics to identify functional conformations
Network-based approaches:
Protein-protein interaction network analysis
Guilt-by-association methods
Co-expression network integration
Pathway enrichment analysis
Machine learning integration:
Deep learning for function prediction
Feature extraction from sequence and structure
Transfer learning from related proteins
Ensemble methods combining multiple predictors
Comparative genomics:
Phylogenetic profiling across bacteria
Gene neighborhood analysis
Evolutionary covariance detection
Detection of horizontal gene transfer events
Text mining and knowledge extraction:
Literature-based discovery
Semantic relationship extraction
Hypothesis generation systems
Knowledge graph construction and mining
These computational approaches, when combined, provide a comprehensive prediction landscape that can guide experimental validation of novel functions and interactions, particularly important for understudied proteins like UPF0348 .