The Recombinant Listeria welshimeri serovar 6b UPF0316 protein lwe1794 (lwe1794) is a recombinant protein derived from the bacterium Listeria welshimeri, specifically from the serovar 6b strain. This protein is part of the UPF0316 family, which is often associated with proteins of unknown function. The Listeria welshimeri species is generally considered non-pathogenic and is commonly found in environmental samples, such as decaying plants .
Species and Strain: The protein is derived from Listeria welshimeri serovar 6b, strain ATCC 35897 / DSM 20650 / SLCC5334 .
Protein Sequence: The amino acid sequence of the protein is provided as MDNGLFIVVTIFVVNILYVTIYTVRLLLTMKGYRYLAALSSVFEMIIYVVALSLVLDNLNNIANVLAYAIGFGVGVIVGMKIEERIALGYITVNVITKEYNLDLPNQIRDLGYGVTSWIASGRDGERMmLEILTQRKNERKLYKQIIEIDNGAFIVSSEPKQIHGGFWIKQVRK .
Storage and Handling: The protein is stored in a Tris-based buffer with 50% glycerol and should be kept at -20°C for long-term storage. Repeated freezing and thawing are not recommended .
Comparative genomic studies of Listeria species, including L. welshimeri, have highlighted differences in gene content compared to pathogenic species like L. monocytogenes. L. welshimeri lacks certain virulence genes and mobile genetic elements found in pathogenic strains, suggesting a more stable and less adaptable genome .
| Characteristic | Description |
|---|---|
| Species and Strain | Listeria welshimeri serovar 6b, strain ATCC 35897 / DSM 20650 / SLCC5334 |
| Protein Sequence | MDNGLFIVVTIFVVNILYVTIYTVRLLLTMKGYRYLAALSSVFEMIIYVVALSLVLDNLNNIANVLAYAIGFGVGVIVGMKIEERIALGYITVNVITKEYNLDLPNQIRDLGYGVTSWIASGRDGERMmLEILTQRKNERKLYKQIIEIDNGAFIVSSEPKQIHGGFWIKQVRK |
| Storage Conditions | Tris-based buffer, 50% glycerol, store at -20°C |
| Quantity Available | 50 µg; other quantities available upon request |
KEGG: lwe:lwe1794
STRING: 386043.lwe1794
To maintain optimal stability, the protein should be stored at -20°C/-80°C upon receipt, with aliquoting necessary for multiple use scenarios. Repeated freeze-thaw cycles should be avoided as they can compromise protein integrity. For working aliquots, storage at 4°C is recommended for up to one week. The protein is typically stored in Tris/PBS-based buffer containing 6% Trehalose at pH 8.0 .
Prior to opening, it is recommended that the vial be briefly centrifuged to bring the contents to the bottom. The protein should be reconstituted in deionized sterile water to a concentration of 0.1-1.0 mg/mL. For long-term storage, it is advisable to add glycerol to a final concentration of 5-50% (with 50% being the standard recommendation) before aliquoting and storing at -20°C/-80°C .
When designing experiments with this protein, several controls should be considered:
| Control Type | Purpose | Example |
|---|---|---|
| Negative Control | To establish baseline responses | Buffer-only or irrelevant His-tagged protein |
| Positive Control | To validate experimental system | Well-characterized protein from related Listeria species |
| Tag Control | To distinguish tag-related from protein-specific effects | His-tag peptide alone |
| Stability Control | To assess degradation effects | Fresh vs. stored protein samples |
These controls help distinguish specific biological effects from technical artifacts, which is crucial for interpreting experimental results, especially in immunological or functional studies .
Following established experimental design principles, researchers should:
Define clear independent variables (e.g., protein concentration, incubation time, temperature)
Identify specific dependent variables to measure (e.g., binding affinity, immune response, cellular uptake)
Control extraneous variables that might influence results
For initial characterization studies, a systematic approach using concentration gradients (0.1-10 μg/mL) and multiple time points (2, 6, 12, 24, 48 hours) is recommended to establish dose-response relationships and kinetic profiles .
To distinguish genuine biological effects from technical artifacts:
Implement robust control conditions as outlined in question 2.1
Perform independent replications with different protein lots
Use complementary methodological approaches to verify findings
Include dose-response studies to establish biological relevance
Compare results with related proteins from different Listeria species
When unexpected results occur, researchers should systematically evaluate potential confounding factors including protein aggregation, endotoxin contamination, or tag interference .
Research with related Listeria proteins has revealed striking differences in antigen processing pathways. While endogenously synthesized proteins (like those from vaccinia virus) generate pMHC at rates proportional to protein degradation, Listeria-derived proteins show a distinct pattern. Specifically, pMHC production from secreted Listeria proteins occurs at the same rate regardless of the cellular half-life of the source protein .
This suggests that researchers working with lwe1794 should consider:
The protein may follow distinct processing pathways depending on delivery method
Experimental design should account for differences between endogenous expression and exogenous administration
Cellular uptake mechanisms may significantly influence presentation efficiency
These findings highlight the existence of a distinct and highly efficient MHC class I presentation pathway specifically for processing certain exogenously synthesized proteins .
Based on the amino acid sequence analysis of lwe1794, which contains hydrophobic regions characteristic of membrane proteins, several approaches can be employed:
| Methodology | Information Obtained | Technical Considerations |
|---|---|---|
| Fluorescence Microscopy | Subcellular localization | Requires fluorescent tagging that may affect localization |
| Membrane Fractionation | Quantitative distribution in cellular compartments | Requires validation of fraction purity |
| Protease Protection Assays | Topology of membrane insertion | Results depend on protease accessibility |
| FRET Analysis | Protein-protein interactions in membranes | Requires appropriate fluorescent partner proteins |
When implementing these methods, researchers should be mindful that the His-tag might influence localization patterns and consider using both N- and C-terminally tagged versions for validation .
For comparative functional studies between lwe1794 and homologous proteins from other Listeria species:
Perform sequence alignment analysis to identify conserved domains and variable regions
Express recombinant versions with identical tags and expression systems
Conduct parallel functional assays under identical conditions
Consider creating chimeric proteins to map functional domains
Implement complementation studies in respective knockout bacterial strains
This approach allows systematic identification of species-specific functional differences while controlling for technical variables that might confound direct comparisons .
Based on established protocols for Listeria infection studies:
For macrophage cell lines (e.g., BMA3 cells):
Use log-phase bacteria at a multiplicity of infection (MOI) of 20
Allow 1 hour for infection
Wash cells and resuspend in media containing gentamicin (5 μg/mL) to kill extracellular bacteria
Incubate at 37°C for experiment duration
For bone marrow-derived macrophages (BMMΦs):
Lift cells using 2 mM EDTA in PBS
Infect at MOI of 10
Follow washing and gentamicin treatment as above
For dendritic cells:
Follow protocol similar to macrophages with cell-specific media
Consider maturation state when interpreting results
These protocols can be adapted for studies with recombinant lwe1794 protein, though researchers should validate infection efficiency for their specific experimental system .
To determine secretion rates:
Collect 1 × 10^9 CFU of log-phase bacteria
Wash in ice-cold culture medium
Resuspend in 5 mL medium at 37°C
Grow on an orbital shaker at 37°C (225 rpm)
Collect aliquots at 0.5, 1, and 2 hours
Remove bacteria by centrifugation
Analyze supernatants by Western blot with appropriate antibodies
Quantify band intensity to calculate secretion rate
This approach allows temporal monitoring of protein secretion and can be coupled with functional assays to correlate secretion with biological activity .
To address protein degradation concerns:
Monitor protein stability using:
Western blot analysis at multiple time points
Functional activity assays to detect loss of function
Size exclusion chromatography to detect fragmentation
Implement stabilization strategies:
Add protease inhibitors appropriate for experimental system
Optimize buffer conditions (pH, salt concentration)
Store aliquots at recommended temperatures (-80°C for long-term)
Consider carrier proteins for very dilute solutions
When designing experiments:
Include freshly thawed protein as reference
Document lot numbers and preparation dates
Consider degradation kinetics in result interpretation
These approaches help distinguish between biological effects and artifacts resulting from protein degradation .
Several challenges exist when interpreting immunological data:
Distinguishing protein-specific responses from those induced by contaminants (especially endotoxin)
Accounting for tag-induced immunogenicity
Differentiating direct effects from secondary cellular responses
Comparing results across different cell types and experimental systems
Correlating in vitro findings with in vivo relevance
To address these challenges, researchers should implement comprehensive controls, validate findings using multiple methodological approaches, and carefully consider the biological context when interpreting results .
When faced with conflicting results:
Examine methodological differences:
Protein preparation methods
Expression systems (E. coli vs. other hosts)
Buffer compositions and additives
Cell types and culture conditions
Consider biological variables:
Protein conformation differences
Post-translational modifications
Cell-specific processing mechanisms
Receptor expression variability
Implement reconciliation strategies:
Direct side-by-side comparison using identical protocols
Collaborative cross-laboratory validation
Meta-analysis of published data with attention to methodological details
This systematic approach helps identify sources of variation and establish consensus findings .
When transitioning to in vivo studies:
Dosage considerations:
Establish in vitro dose-response relationships
Calculate physiologically relevant concentrations
Consider clearance and tissue distribution
Delivery methods:
Evaluate different administration routes
Consider formulation impact on bioavailability
Assess stability in biological fluids
Monitoring strategies:
Select appropriate biomarkers for in vivo activity
Plan for temporal sampling
Include controls for host-specific variables
Ethical and safety considerations:
Implement appropriate biosafety measures
Design studies with statistical power to minimize animal use
Consider potential pathogenicity even from non-pathogenic species
These considerations help ensure translational relevance and experimental rigor when moving to more complex biological systems .
Current evidence suggests several promising research directions:
Structural biology approaches to determine three-dimensional structure and functional domains
Comparative genomics to understand evolutionary conservation across bacterial species
Investigation of potential roles in bacterial membrane dynamics or transport functions
Exploration of interactions with host cellular components during infection
Assessment of potential as diagnostic biomarkers or therapeutic targets
These directions will benefit from integrating traditional biochemical approaches with emerging technologies such as cryo-electron microscopy and systems biology methods .
Comparative studies between lwe1794 and homologous proteins from pathogenic Listeria species may:
Identify structural or functional differences contributing to virulence
Elucidate evolutionary adaptations in protein function
Reveal species-specific protein-protein interactions
Provide insights into host-pathogen interaction mechanisms
Aid in developing targeted interventions against pathogenic strains
This research has significant implications for understanding bacterial pathogenesis and developing new strategies for controlling Listeria infections .
Several technological advances will likely shape future research:
CRISPR-based bacterial genome editing for precise manipulation of native proteins
Advanced imaging techniques for tracking protein localization and dynamics in live cells
High-throughput screening approaches for identifying protein interactions and functions
Computational modeling to predict protein structure-function relationships
Single-cell analysis methods to reveal heterogeneity in protein function and cellular responses