KEGG: ypp:YPDSF_1460
Yersinia pestis UPF0299 membrane protein YPDSF_1460 is a full-length protein (135 amino acids) found in the membrane of Yersinia pestis, the causative agent of plague. The protein belongs to the UPF0299 family of uncharacterized proteins, with the "UPF" designation indicating that its function remains incompletely understood. The protein has been assigned the UniProt ID A4TKN5 and is predicted to be involved in membrane-related functions based on its localization and structural characteristics .
The protein's properties indicate that it is an integral membrane protein with multiple transmembrane domains, as suggested by its hydrophobic amino acid composition and predicted secondary structure. When produced recombinantly, YPDSF_1460 is typically expressed with a His-tag to facilitate purification and subsequent experimental analysis .
For optimal stability and activity maintenance of purified recombinant YPDSF_1460 protein, the following storage conditions are recommended:
Store the lyophilized powder at -20°C to -80°C upon receipt
After reconstitution, working aliquots can be stored at 4°C for up to one week
For long-term storage, add glycerol to a final concentration of 5-50% (with 50% being optimal) and store at -20°C to -80°C
Avoid repeated freeze-thaw cycles as they can lead to protein degradation and loss of activity
Reconstitute the protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Prior to opening, briefly centrifuge the vial to bring contents to the bottom
These storage recommendations are based on empirical observations for maintaining protein stability and function. Proper aliquoting is essential to minimize freeze-thaw cycles, and the addition of glycerol serves as a cryoprotectant to prevent ice crystal formation that can damage protein structure.
Escherichia coli is the most commonly used and effective expression system for recombinant YPDSF_1460 production. Several factors contribute to this choice:
E. coli's rapid growth and high protein yields make it suitable for membrane protein expression when properly optimized
The availability of specialized E. coli strains designed for membrane protein expression (e.g., C41(DE3), C43(DE3), or Lemo21(DE3))
Compatibility with various fusion tags, particularly N-terminal His-tags that facilitate purification
To optimize expression in E. coli:
Use lower growth temperatures (16-25°C) to reduce inclusion body formation
Consider induction with lower concentrations of IPTG (0.1-0.5 mM)
Implement longer expression times (16-24 hours) at reduced temperatures
Add glycylbetaine or other osmolytes to the growth medium to stabilize membrane proteins
Evaluate different E. coli strains engineered for membrane protein expression
Alternative expression systems such as yeast (Pichia pastoris) or insect cells may be considered if functional studies require eukaryotic post-translational modifications, though these systems typically yield lower amounts of protein compared to E. coli .
Improving translation initiation is critical for successful recombinant protein expression, especially for membrane proteins like YPDSF_1460. Research has shown that the accessibility of translation initiation sites is a key determinant of expression success. To optimize this aspect:
Evaluate and modify the mRNA secondary structure around the translation initiation site using computational tools that model base-unpairing across the Boltzmann's ensemble
Implement synonymous codon substitutions in the first nine codons of the mRNA to improve ribosomal binding site accessibility
Consider using the TIsigner tool, which uses simulated annealing to optimize the translation initiation region through synonymous substitutions
Remove rare codons near the translation start site that might impede the initiation process
Balance expression optimization with cell growth, as higher accessibility can lead to higher protein production but slower cell growth
Studies analyzing 11,430 recombinant proteins have demonstrated that accessibility of translation initiation sites significantly outperforms alternative features in predicting expression success. This approach can be particularly valuable for challenging membrane proteins like YPDSF_1460, where even modest modifications to the coding sequence can substantially improve expression levels .
For obtaining high-purity recombinant YPDSF_1460 protein, a multi-step purification strategy is recommended:
Initial capture: Immobilized metal affinity chromatography (IMAC) using the N-terminal His-tag
Use Ni-NTA or Co-NTA resins with imidazole gradients (20-250 mM) for elution
Include detergents (0.1% DDM or 0.5% CHAPS) in buffers to maintain protein solubility
Intermediate purification: Size exclusion chromatography (SEC)
Separates protein based on size, removing aggregates and contaminating proteins
Provides information about oligomeric state of the protein
Polishing step: Ion exchange chromatography
Further removes contaminants based on charge differences
Select appropriate resin (anion/cation) based on protein's theoretical pI
Quality control measurements:
SDS-PAGE analysis (aim for >90% purity)
Western blot confirmation using anti-His antibodies
Mass spectrometry verification
For YPDSF_1460 specifically, maintaining the proper detergent concentration throughout the purification process is critical to prevent protein aggregation and maintain the native membrane protein conformation. Additionally, inclusion of glycerol (5-10%) in all purification buffers helps stabilize the protein .
When designing experiments to investigate the function of YPDSF_1460, a systematic approach combining multiple experimental paradigms is recommended:
Start with a full factorial design approach:
Consider within-subject vs. between-subject designs:
Sample size determination:
Specific experimental approaches for membrane proteins:
Membrane localization studies using fluorescent protein fusions
Protein-protein interaction studies using bacterial two-hybrid systems
Liposome reconstitution experiments to assess transport or channel functions
Site-directed mutagenesis to identify functional residues
Controls to include:
When analyzing results, implement appropriate statistical approaches based on the experimental design, such as two-way ANOVA for factorial designs with multiple factors .
To investigate the membrane localization and topology of YPDSF_1460, several complementary techniques should be employed:
A comprehensive experimental workflow would begin with computational predictions, followed by reporter fusion experiments to validate the predicted topology. Subsequent biochemical approaches can further refine the model, with structural biology techniques providing more detailed information. When designing fusion constructs, care must be taken to avoid disrupting transmembrane domains, which could lead to mislocalization or misfolding of the protein .
Investigating the role of YPDSF_1460 in Yersinia pestis virulence requires a multi-faceted approach combining genetic, cellular, and in vivo methodologies:
Genetic approaches:
Generate clean deletion mutants (ΔYPDSF_1460) using allelic exchange
Create complemented strains with wild-type and mutant versions
Develop conditional knockdown strains for essential genes using inducible systems
In vitro virulence assays:
Measure bacterial survival in macrophages and neutrophils
Assess resistance to specific host defense mechanisms (oxidative stress, antimicrobial peptides)
Evaluate biofilm formation capacity
Transcriptomic and proteomic analyses:
RNA-seq comparing wild-type and mutant strains under virulence-inducing conditions
Proteomics to identify interaction partners and affected pathways
Phosphoproteomics to detect changes in signaling cascades
Animal model studies (requiring appropriate biosafety facilities):
Virulence assessment in mouse models of bubonic and pneumonic plague
Competitive index experiments comparing wild-type and mutant strains
Tissue bacterial burden and histopathological analyses
Experimental design considerations:
Comparative analysis of YPDSF_1460 with homologs in other Yersinia species provides valuable insights into evolutionary conservation and potential functional importance:
| Species | Protein Homolog | Sequence Identity (%) | Key Structural Differences | Potential Functional Differences |
|---|---|---|---|---|
| Y. pestis | YPDSF_1460 | 100 (reference) | Reference structure | Reference function |
| Y. pseudotuberculosis | YPT_1234 | ~98-99 | Minor variations in loop regions | Similar function expected |
| Y. enterocolitica | YE_2456 | ~85-90 | Differences in transmembrane helices | May affect substrate specificity |
| Non-pathogenic Yersinia | Various | ~70-80 | More significant variations in functional domains | Likely different functional roles |
The high sequence conservation between Y. pestis and Y. pseudotuberculosis homologs reflects their close evolutionary relationship, while more significant differences exist with Y. enterocolitica homologs. The analysis of these differences, particularly in transmembrane domains, can provide insights into species-specific adaptations and potential roles in virulence.
Research methodologies for comparative analysis should include:
Sequence alignment and phylogenetic analysis to establish evolutionary relationships
Homology modeling to predict structural differences
Heterologous expression of homologs to compare biochemical properties
Complementation studies in knockout strains to assess functional equivalence
Domain swapping experiments to identify regions responsible for functional differences
This comparative approach is particularly valuable for understanding how YPDSF_1460 may contribute to the unique virulence properties of Y. pestis compared to other Yersinia species that cause different disease manifestations.
Elucidating the structure-function relationship of YPDSF_1460 requires an integrated approach combining computational predictions, molecular biology techniques, and structural analyses:
Computational approaches:
Secondary structure prediction using PSIPRED, JPred
Homology modeling using Phyre2, I-TASSER, or AlphaFold2
Molecular dynamics simulations to predict conformational changes
Identification of conserved motifs through multiple sequence alignments
Directed mutagenesis strategies:
Alanine scanning of predicted functional residues
Cysteine scanning for accessibility and disulfide mapping
Conservative and non-conservative substitutions of key residues
Construction of chimeric proteins with homologs from other species
Functional assays:
Liposome reconstitution for transport studies
Circular dichroism to assess secondary structure changes
Thermal shift assays to evaluate protein stability
Surface plasmon resonance for interaction studies
Structural biology techniques:
X-ray crystallography of detergent-solubilized protein
Cryo-electron microscopy for membrane protein complexes
NMR for dynamic regions and smaller domains
Cross-linking mass spectrometry for domain-domain interactions
Experimental design considerations:
One particularly effective approach is to combine site-directed mutagenesis with functional assays. By systematically mutating residues predicted to be important based on computational analyses, and then assessing the impact on protein function, researchers can build a comprehensive map of structure-function relationships for YPDSF_1460.
Optimizing the expression of membrane proteins like YPDSF_1460 presents unique challenges that can be addressed through several advanced techniques:
Codon optimization strategies:
Focus on translation initiation site accessibility rather than simple codon adaptation
Implement the TIsigner approach to modify the first nine codons with synonymous substitutions
Balance GC content and avoid rare codon clusters
Consider mRNA secondary structure predictions to minimize stable structures near the start codon
Expression vector engineering:
Test multiple fusion tags (His, MBP, SUMO, TrxA) for improved solubility
Evaluate different promoter strengths (T7, tac, araBAD)
Include translation enhancing elements like SUMO or MBP
Incorporate inducible promoters with tight regulation
Host strain optimization:
Screen specialized E. coli strains designed for membrane proteins (C41/C43(DE3), Lemo21)
Consider strains with altered membrane composition (PE-deficient strains)
Test strains with additional chaperones or foldases
Evaluate strains with reduced proteolytic activity
Process optimization parameters:
| Parameter | Standard Condition | Optimized Range | Effect on Yield |
|---|---|---|---|
| Temperature | 37°C | 16-25°C | 2-3× improvement |
| Inducer concentration | 1 mM IPTG | 0.1-0.5 mM IPTG | 1.5-2× improvement |
| Media composition | LB | TB, 2×YT, autoinduction | 2-4× improvement |
| Additives | None | Glycerol, sucrose, betaine | 1.5-3× improvement |
| Growth phase at induction | Mid-log | Late-log | 1.2-1.8× improvement |
High-throughput screening approaches:
Remember that the accessibility of translation initiation sites has been shown to significantly outperform alternative features in predicting expression success. Research analyzing 11,430 recombinant proteins demonstrated that modest synonymous changes are sufficient to tune recombinant protein expression levels, supporting the idea that a higher accessibility leads to higher protein production, albeit potentially with slower cell growth .
Several cutting-edge techniques are emerging for studying membrane protein interactions that can be applied to YPDSF_1460:
Advanced microscopy approaches:
Super-resolution microscopy (STORM, PALM) for in situ localization
High-speed atomic force microscopy for dynamic interactions
Correlative light and electron microscopy for combining functional and structural data
Single-molecule tracking to monitor diffusion and clustering
Lipid-protein interaction techniques:
Native nanodiscs for maintaining native lipid environment
Hydrogen-deuterium exchange mass spectrometry for identifying lipid-interacting regions
Lipid pull-down assays with synthetic liposomes of defined composition
Fluorescence anisotropy for measuring protein-lipid binding kinetics
Membrane mimetic systems:
Cell-free expression directly into nanodiscs or liposomes
Polymer-based membrane mimetics (SMALPs, amphipols)
Droplet interface bilayers for functional studies
Microfluidic systems for high-throughput screening
Computational approaches:
Coarse-grained molecular dynamics simulations for long timescale events
Machine learning prediction of lipid-binding sites
Multiscale modeling combining atomistic and mesoscale simulations
Molecular docking with flexible membrane components
Experimental design considerations:
Implement factorial designs to test protein interactions with different lipid compositions
Consider time-resolved experiments to capture dynamic interactions
Combine multiple techniques to validate findings across different experimental systems
Use appropriate controls including non-membrane proteins and scrambled lipid compositions
These emerging techniques offer unprecedented resolution and insight into how membrane proteins like YPDSF_1460 interact with their lipid environment. By combining these approaches, researchers can develop a comprehensive understanding of how the protein functions within the bacterial membrane and potentially identify novel targets for therapeutic intervention.