KEGG: sek:SSPA1256
YnfA (designated as Q5PHH0 in UniProt) is a membrane protein belonging to the UPF0060 family, present in Salmonella paratyphi A. This protein consists of 108 amino acids and functions as an integral membrane protein. The full amino acid sequence is: MLKTTLLFFVTALCEIIGCFLPWLWIKRGASVWWLLPAAASLALFVWLLTLHPAASGRVY AAYGGVYVCTALLWLRVVDGVRLTVYDWCGALIALCGMLIIVVGWGRT . The protein's hydrophobic profile suggests it contains multiple transmembrane domains, consistent with its role as a membrane protein. While its precise biological function remains under investigation, membrane proteins typically serve critical roles in cellular processes including transport, signaling, and maintaining cellular integrity.
E. coli expression systems are predominantly used for recombinant YnfA production due to their efficiency, cost-effectiveness, and scalability. For the recombinant full-length YnfA protein, E. coli provides suitable yields when the protein is fused to an N-terminal His-tag . Researchers should consider the following methodology:
Clone the ynfA gene (1-108aa) into a prokaryotic expression vector with an N-terminal His-tag
Transform into a compatible E. coli strain (BL21(DE3) or similar)
Induce expression with IPTG at optimal conditions (typically 0.5-1mM IPTG at 16-25°C)
Harvest cells and extract membrane fractions using detergent solubilization
Purify using Ni-NTA affinity chromatography
For membrane proteins like YnfA, expression optimization may require testing multiple E. coli strains (C41, C43) specifically engineered for membrane protein expression.
Maintaining structural integrity during purification and storage is crucial for membrane proteins like YnfA. The recommended protocol includes:
Purification:
Solubilize membrane fractions using mild detergents (DDM, LDAO or OG)
Perform affinity chromatography using Ni-NTA resin
Consider size exclusion chromatography as a polishing step
Concentrate to >90% purity as confirmed by SDS-PAGE
Storage:
Store lyophilized protein at -20°C/-80°C
After reconstitution, prepare working aliquots and store at 4°C for up to one week
Reconstitute in deionized sterile water to 0.1-1.0 mg/mL
Add glycerol (final concentration 5-50%, optimal 50%) for long-term storage at -20°C/-80°C
Avoid repeated freeze-thaw cycles that diminish protein stability
For working solutions, researchers should use Tris/PBS-based buffer containing 6% Trehalose at pH 8.0, which has been shown to enhance stability of YnfA .
Membrane protein research requires careful selection of mimetic environments to maintain native structure and function. For YnfA functional studies, consider this methodological approach:
Step 1: Detergent Screening
Test multiple detergent classes in a systematic manner:
Maltosides (DDM, DM)
Glucosides (OG)
Phosphocholines (FC-12, FC-14)
Neopentyl glycols (LMNG)
Step 2: Advanced Mimetic Exploration
If detergents prove suboptimal, explore:
Nanodiscs (MSP1D1 or MSP1E3D1) with E. coli total lipids
Amphipols (A8-35)
Lipid cubic phase formulations
Polymer-based systems (SMALPs)
Step 3: Stability Assessment
Following reconstitution into the selected mimetic, evaluate protein stability using:
Size-exclusion chromatography
Thermal shift assays
Mass photometry to assess oligomerization state and sample purity
Mass photometry offers particular advantages for membrane proteins like YnfA, as it can directly characterize oligomerization states and complex formations with minimal sample consumption (1-5 μL at 10-100 nM) . This technique allows researchers to rapidly evaluate multiple membrane mimetic conditions to optimize stability.
Understanding YnfA's role in pathogenesis requires multi-faceted experimental strategies:
Genetic Approaches:
Create ynfA deletion mutants in S. paratyphi A
Perform complementation studies with wild-type and mutated ynfA
Analyze virulence in cell culture and animal models
Functional Assays:
Membrane permeability studies with fluorescent dyes
Ion flux measurements in reconstituted liposomes
Protein-protein interaction studies with key virulence factors
In Vivo Analysis:
Mouse infection models comparing wild-type and ΔynfA strains
Tissue distribution assays focusing on heart and kidney colonization (tissues particularly relevant for S. paratyphi A infection)
Competitive index assays with wild-type and mutant strains
Data Analysis Framework:
| Approach | Methods | Expected Outcomes | Controls |
|---|---|---|---|
| Genetic | CRISPR-Cas9 deletion | Growth curves, colony morphology | Wild-type strain |
| Cellular | Cell invasion assays | Invasion efficiency | S. Typhimurium |
| Animal | Mouse challenge model | Bacterial load in tissues | Virulence gene mutants |
| Molecular | Protein interaction networks | Binding partners | Negative binding controls |
When evaluating YnfA's role in pathogenesis, it's important to consider its potential interaction with the human immune system during the infection process. S. paratyphi A's ability to invade intestinal epithelial cells, especially M cells overlying Peyer's patches, and subsequently disseminate to systemic tissues may involve membrane proteins like YnfA.
Current vaccines against typhoid fever lack adequate cross-protection against S. paratyphi A infections , highlighting the need for paratyphoid A-specific vaccine candidates. Structural studies of membrane proteins like YnfA could contribute significantly:
Structural Determination Approach:
Express and purify YnfA in sufficient quantities (>5mg)
Screen crystallization conditions using lipidic cubic phase methods
Attempt cryo-EM studies if crystallization proves challenging
Apply computational approaches (AlphaFold2) to predict structure
Epitope Mapping Workflow:
Identify surface-exposed regions of YnfA
Synthesize peptides corresponding to predicted epitopes
Test immunogenicity of peptides in animal models
Evaluate cross-reactivity with other Salmonella serovars
Integration with Vaccine Development:
Assess whether YnfA can elicit protective immunity
Determine if YnfA-derived epitopes can be incorporated into subunit vaccines
Evaluate YnfA as a carrier protein for S. paratyphi A polysaccharides
The increasing incidence of S. paratyphi A infections globally and the limited cross-protection offered by existing typhoid vaccines underscore the urgency for paratyphoid A-specific vaccines . Membrane proteins like YnfA, if sufficiently exposed on the bacterial surface, could represent promising vaccine candidates.
With S. paratyphi A developing resistance to multiple antibiotics including chloramphenicol, nalidixic acid, ampicillin, and sulfamethoxazole , investigating membrane proteins like YnfA in this context is crucial:
Experimental Framework:
Compare YnfA expression levels in resistant versus susceptible strains
Overexpress or delete ynfA and assess changes in antibiotic susceptibility
Perform binding studies between YnfA and various antibiotics
Investigate YnfA's potential interaction with known efflux systems
Antibiotic Resistance Profile Assessment:
Clinical isolates of S. paratyphi A have demonstrated resistance to multiple antibiotics:
Alternative Therapeutic Approaches:
If YnfA proves to be involved in resistance mechanisms, researchers could explore:
YnfA inhibitors as adjuvants to existing antibiotics
Bacteriophage therapy targeting S. paratyphi A (like phage Sal11TP)
Combined approaches using both phage therapy and conventional antibiotics
Recent studies with the bacteriophage Sal11TP demonstrated significant reduction in bacterial loads in heart tissues (1.49 ± 0.09 log cfu/g) compared to conventional antibiotic treatment with gentamycin (2.29 ± 0.25 log cfu/g) . This suggests that alternative therapeutic approaches may be effective against antibiotic-resistant S. paratyphi A.
Mass photometry offers unique advantages for investigating membrane proteins like YnfA:
Methodological Applications:
Characterize YnfA oligomerization states with minimal sample (1-5 μL at 10-100 nM)
Assess detergent or membrane mimetic efficiency through homogeneity analysis
Quantify binding of YnfA to potential interaction partners
Monitor the assembly of multiprotein complexes involving YnfA
Protocol Overview:
Prepare YnfA samples at 10-100 nM concentration
Apply sample to glass coverslip and allow settling
Record interferometric scattering for 30-60 seconds
Analyze single-molecule mass distribution using specialized software
Advantages Over Traditional Methods:
No labeling required (label-free detection)
Minimal sample consumption
Native solution conditions
Real-time monitoring of complex formation
Mass photometry can overcome challenges associated with traditional membrane protein characterization techniques like SEC-MALS, AUC, or native PAGE, which often require larger sample amounts and may not maintain the native membrane environment .
Rigorous controls are essential for membrane protein functional studies:
Expression and Purification Controls:
Empty vector control (expressing tag only)
Negative control membrane protein (unrelated to YnfA)
Positive control membrane protein (known function/behavior)
Structural Integrity Controls:
Circular dichroism to confirm secondary structure
Thermal stability assays at experimental conditions
Size exclusion profiles before and after functional assays
Functional Assay Controls:
Detergent-only controls to assess background signals
Heat-denatured YnfA to confirm specificity
Site-directed mutants of key residues
Concentration-dependent responses to establish dose-relationships
For interaction studies, always include:
GST-tag or His-tag alone controls
Scrambled peptide controls
Competitive inhibition controls
When interpreting results, researchers should compare YnfA from S. paratyphi A with homologs from other species to distinguish conserved versus serovar-specific functions.
Contradictory findings in membrane protein research often stem from methodological differences. A systematic approach to reconcile conflicting results includes:
Step 1: Environmental Parameter Comparison
Analyze differences in:
Detergent/mimetic systems used
Buffer compositions (pH, salt concentration)
Temperature conditions
Protein constructs (full-length vs. truncated)
Replicate key experiments using multiple techniques
Employ orthogonal approaches to measure the same parameter
Use both in vitro and in vivo systems when possible
Step 3: Integration Framework
Create a hypothesis that can accommodate seemingly contradictory findings by considering:
Context-dependent protein behavior
Allosteric regulation mechanisms
Conformational heterogeneity
Decision Matrix for Resolving Contradictions:
| Contradiction Type | Investigation Approach | Resolution Strategy |
|---|---|---|
| Activity differences | Systematic buffer screening | Identify optimal conditions |
| Binding partner discrepancies | Pull-down with both tagged versions | Confirm bidirectional interactions |
| Localization conflicts | Multiple microscopy techniques | Characterize dynamic localization |
| Phenotypic variations | Genetic complementation | Assess strain-specific effects |
When studying YnfA's role in S. paratyphi A, researchers should be particularly attentive to contradictory findings regarding virulence, as clinical observations have shown conflicting results about whether S. paratyphi A causes milder or equally severe disease compared to S. Typhi .
With increasing antibiotic resistance, exploring YnfA's therapeutic potential is valuable:
YnfA as a Drug Target:
Develop high-throughput screening assays for YnfA inhibitors
Design structure-based inhibitors if structural data becomes available
Explore antibody-based targeting of surface-exposed YnfA epitopes
YnfA in Vaccine Development:
Evaluate YnfA as a component of subunit vaccines
Assess YnfA-derived peptides as immunogens
Investigate YnfA as a carrier protein for conjugate vaccines
Combined Therapeutic Approaches:
Study synergistic effects between YnfA inhibitors and existing antibiotics
Investigate YnfA's role in bacteriophage infection, particularly with phage Sal11TP
Develop YnfA-targeted drug delivery systems
Given that current typhoid vaccines lack adequate cross-protection against S. paratyphi A , targeting YnfA could offer complementary approaches to conventional vaccines and antibiotics.
Computational methods offer powerful tools to predict how YnfA might interact with host systems:
Sequence-Based Predictions:
Identify short linear motifs that might interact with host proteins
Predict post-translational modification sites that could modulate host interactions
Compare with homologs of known function using multiple sequence alignments
Structure-Based Predictions:
Apply homology modeling or AlphaFold2 to generate YnfA structural models
Perform molecular docking with candidate host proteins
Run molecular dynamics simulations to assess interaction stability
Systems Biology Approaches:
Network analysis to predict YnfA's position in host-pathogen interaction networks
Integrate transcriptomic data to identify co-regulated genes
Apply machine learning to identify patterns associated with YnfA-expressing pathogens
Computational Workflow:
Generate YnfA structural model
Identify surface-exposed regions
Predict binding sites using docking algorithms
Validate top predictions with targeted binding assays
These computational predictions can guide experimental design and help prioritize which host interactions to investigate first in experimental systems.
Research on YnfA presents several distinct challenges and opportunities:
Technical Challenges:
Maintaining native structure in recombinant expression systems
Achieving sufficient yield for structural studies
Developing functional assays for proteins of unknown function
Distinguishing YnfA-specific effects from general membrane perturbations
Knowledge Gaps:
Precise biological function remains uncharacterized
Relationship to virulence not fully established
Potential as a therapeutic target needs validation
Role in the broader context of S. paratyphi A biology unclear
Research Opportunities: