The Recombinant Stenotrophomonas maltophilia Large-Conductance Mechanosensitive Channel (mscL) is a protein expressed in Escherichia coli, derived from the bacterium Stenotrophomonas maltophilia. This protein is part of a family of mechanosensitive channels that play a crucial role in maintaining cellular osmotic balance by allowing ions to flow out of the cell when it is subjected to mechanical stress, such as osmotic shock .
The recombinant mscL protein from Stenotrophomonas maltophilia is characterized by its full-length sequence of 134 amino acids, with an N-terminal His tag for purification purposes. It is provided in a lyophilized powder form and has a purity of greater than 90% as determined by SDS-PAGE .
Species: Stenotrophomonas maltophilia
Source: Expressed in E. coli
Tag: N-terminal His tag
Protein Length: Full length (1-134 amino acids)
Form: Lyophilized powder
Purity: >90% by SDS-PAGE
Storage: Store at -20°C or -80°C upon receipt
The amino acid sequence of the recombinant mscL protein is as follows:
This sequence is crucial for understanding the structural and functional properties of the mscL channel.
Mechanosensitive channels like mscL are essential for bacterial survival under various environmental conditions. They help maintain cellular integrity by releasing excess ions and water when the cell is subjected to osmotic stress. The study of these channels in Stenotrophomonas maltophilia can provide insights into how this bacterium adapts to different environments, including its role as an opportunistic pathogen in humans .
| Characteristic | Description |
|---|---|
| Species | Stenotrophomonas maltophilia |
| Source | E. coli |
| Tag | N-terminal His tag |
| Protein Length | Full length (1-134 amino acids) |
| Form | Lyophilized powder |
| Purity | >90% by SDS-PAGE |
| Storage | -20°C or -80°C |
| Amino Acid Sequence | MGMLTEFKEFAMRGNVIDLAVGVVIGAAFGKIVTALVEKIIMPPLGLLIGKVDFSQLAWT LSPARIGPDGKEIPAVVIGYGDFINTLIQFVIVAFAIFIVVKAINRLSRKQEAAPAAPAE EVVLLREIRDSLKK |
The recombinant mscL protein from Stenotrophomonas maltophilia can be used in various research applications, including structural biology studies and investigations into bacterial osmotic regulation. Understanding how mechanosensitive channels function can also inform the development of novel antimicrobial strategies targeting bacterial membrane integrity.
This mechanosensitive channel opens in response to membrane stretch forces. It may play a role in regulating cellular osmotic pressure.
KEGG: sml:Smlt3782
STRING: 522373.Smlt3782
Stenotrophomonas maltophilia is an emerging global opportunistic pathogen associated with a significant fatality/case ratio, particularly in immunocompromised individuals. It is a multidrug-resistant Gram-negative, biofilm-forming bacterium commonly found in aqueous habitats including plant rhizospheres, animals, foods, and water sources . The pathogen is of particular interest for mscL research because:
S. maltophilia demonstrates remarkable adaptation to osmotic stress environments
Its intrinsic antibiotic resistance mechanisms may involve membrane-associated proteins like mscL
Understanding mechanosensitive channels in this pathogen could provide insights into its survival mechanisms in hospital settings where it expresses resistance to various biocides
S. maltophilia infections are becoming increasingly prevalent, with global incidence rising from 0.8–1.4% (1997–2003) to 1.3–1.68% (2007–2012) . This epidemiological significance makes its membrane proteins, including mscL, important targets for fundamental research.
The large-conductance mechanosensitive channel (mscL) functions as a critical emergency release valve in bacterial cells, responding to acute changes in membrane tension. The protein's primary physiological roles include:
Protection against hypoosmotic shock by rapidly releasing cytoplasmic contents when membrane tension reaches critical levels
Maintenance of membrane integrity during osmotic downshifts
Potential involvement in secretion of specific cellular components
The channel remains closed under normal physiological conditions but undergoes a conformational change in response to membrane stretching. When activated, mscL forms a large non-selective pore that allows the passage of ions, small proteins, and osmolytes, thereby reducing turgor pressure and preventing cell lysis.
When expressing recombinant S. maltophilia mscL, several expression systems have demonstrated varying degrees of success:
Expression System Comparison for Recombinant mscL Production:
| Expression System | Advantages | Limitations | Typical Yield (mg/L culture) |
|---|---|---|---|
| E. coli BL21(DE3) | High expression levels, cost-effective, rapid growth | May form inclusion bodies, potentially improper folding | 3-8 mg/L |
| E. coli C41/C43 | Specialized for membrane proteins, reduced toxicity | Lower yields, longer induction times | 1-5 mg/L |
| Cell-free systems | Avoids toxicity issues, direct integration into lipids | Higher cost, technical complexity | 0.5-2 mg/L |
| Mammalian cells | Better post-translational processing | Expensive, low yields, complex cultivation | 0.1-1 mg/L |
For functional studies, E. coli C41/C43 strains often provide the optimal balance between yield and proper folding. These strains were specifically developed for the expression of membrane proteins that may be toxic to standard E. coli expression hosts.
When designing expression constructs, incorporating a removable tag (typically His6 or Strep-tag) facilitates purification while allowing subsequent removal to study the native protein structure. Experimental design should include controls comparing the tagged and untagged protein to assess whether the tag affects channel function .
Purification of functional recombinant mscL requires a methodical approach that preserves protein integrity and activity. The following optimized protocol has been validated for S. maltophilia mscL:
Membrane Extraction:
Harvest cells at optimal density (OD600 = 0.8-1.0)
Disrupt cells using French press (15,000 psi) or sonication (10 cycles of 30s on/30s off)
Isolate membranes through differential ultracentrifugation (100,000 × g for 1 hour)
Solubilization:
Solubilize membranes using mild detergents (n-dodecyl-β-D-maltopyranoside at 1-2% for 1 hour at 4°C)
Maintain pH at 7.5 with 50 mM phosphate buffer supplemented with 300 mM NaCl
Affinity Chromatography:
Apply solubilized fraction to Ni-NTA resin (for His-tagged constructs)
Wash extensively with 20-40 mM imidazole to reduce non-specific binding
Elute with 250-300 mM imidazole in a gradient fashion
Secondary Purification:
Perform size exclusion chromatography to remove aggregates
Consider ion exchange chromatography for higher purity
This approach typically yields 90-95% pure protein as assessed by SDS-PAGE and Western blot analysis. The purification process should be conducted swiftly (within 24-48 hours) to minimize protein degradation, with all steps performed at 4°C unless otherwise specified .
Confirming functional integrity of purified mscL requires multiple complementary approaches:
1. Patch Clamp Electrophysiology:
Reconstitute purified mscL into artificial liposomes or planar lipid bilayers
Apply negative pressure to activate the channel
Record single-channel conductance (expected around 3 nS for S. maltophilia mscL)
Analyze gating threshold and kinetics
2. Fluorescence-Based Assays:
Prepare mscL-containing liposomes with encapsulated calcein (self-quenching at high concentrations)
Apply osmotic downshift to activate channels
Monitor fluorescence dequenching as calcein is released
Calculate release rates as a measure of channel activity
3. In vivo Complementation Tests:
Transform mscL-deficient bacterial strains with recombinant S. maltophilia mscL
Subject cells to hypoosmotic shock
Measure survival rates compared to controls
Quantify protection against osmotic lysis
Quality Control Criteria for Functional S. maltophilia mscL:
| Parameter | Acceptable Range | Indication of Poor Quality |
|---|---|---|
| Single-channel conductance | 2.5-3.5 nS | <2.0 or >4.0 nS |
| Pressure threshold | -70 to -120 mmHg | >-50 mmHg |
| Calcein release rate | >60% in 30 seconds after shock | <30% release |
| Complementation efficiency | >70% survival vs. wildtype | <40% survival |
Functional assessments should always include positive controls (e.g., well-characterized E. coli MscL) and negative controls (empty liposomes or vectors) .
Robust experimental design for mscL functional studies must include these essential controls:
Negative Controls:
Empty vector-transformed cells in expression studies
Protein-free liposomes in reconstitution experiments
Heat-denatured mscL protein as inactive control
Non-mechanosensitive membrane protein (e.g., bacteriorhodopsin) as specificity control
Positive Controls:
Well-characterized homolog (e.g., E. coli MscL) with known properties
Native membrane preparations from S. maltophilia (when available)
Synthetic mechanosensitive peptides with known gating properties
Technical Controls:
Multiple protein preparations to assess batch-to-batch variability
Different lipid compositions to evaluate environmental effects
Range of osmotic gradients to establish dose-response relationships
Time-course measurements to capture kinetic parameters
Validation Controls:
Complementary techniques (e.g., AFM, electrophysiology, and fluorescence assays)
Site-directed mutagenesis of known functional residues
Specific inhibitors when available
Computational modeling validation
The experimental design should follow established principles of controlled variable manipulation, with systematic isolation of the variable of interest while maintaining all other conditions constant .
Site-directed mutagenesis represents a powerful approach to understanding the molecular mechanisms of mscL function. Key methodological considerations include:
Target Selection Strategy:
Transmembrane domains: Focus on hydrophobic residues lining the pore
Cytoplasmic domains: Target charged residues potentially involved in sensing membrane tension
Periplasmic loops: Examine residues that may interact with membrane lipids
Conserved regions: Prioritize residues identical across bacterial species
Mutation Design Principles:
Conservative substitutions (e.g., Leu→Ile) to test subtle structural requirements
Charge reversals (e.g., Arg→Glu) to disrupt electrostatic interactions
Polarity changes (e.g., Ser→Ala) to assess hydrogen bonding contributions
Cysteine substitutions for subsequent disulfide cross-linking or accessibility studies
Functional Analysis Framework:
Patch-clamp analysis to determine changes in conductance, gating threshold, and kinetics
Fluorescence assays to assess channel opening efficiency
In vivo osmotic shock survival to measure physiological importance
MD simulations to predict structural consequences of mutations
Examples of Critical Residues in mscL and Their Functional Effects:
| Domain | Key Residue | Mutation | Expected Functional Effect |
|---|---|---|---|
| TM1 | V23 (conserved) | V23A | Lower gating threshold |
| TM1 | V23W | Higher gating threshold, reduced conductance | |
| TM2 | G76 (conserved) | G76A | Altered gating kinetics |
| TM2 | G76P | Loss of function due to helix disruption | |
| C-terminal | R98 (charged) | R98E | Altered tension sensing |
| C-terminal | R98Q | Minimal effect on function |
When executing mutagenesis studies, researchers should create a comprehensive mutation panel rather than isolated substitutions, allowing for the construction of a complete functional map of the channel protein.
Comparative analysis provides valuable insights into evolutionary adaptations of mechanosensitive channels. Methodological approaches include:
Sequence Alignment Analysis:
Multiple sequence alignment of mscL proteins from diverse bacterial species
Identification of conserved domains versus variable regions
Calculation of conservation scores for individual residues
Phylogenetic tree construction to establish evolutionary relationships
Structural Comparison Methods:
Homology modeling of S. maltophilia mscL based on crystallized homologs
Superimposition of predicted structures to identify conformational differences
Analysis of pore dimensions and electrostatic surface properties
Molecular dynamics simulations in standardized membrane environments
Functional Comparative Approach:
Standardized electrophysiological characterization under identical conditions
Measurement of tension sensitivity thresholds across homologs
Evaluation of ion selectivity and conductance properties
Assessment of response to various environmental stressors (pH, temperature)
Comparative Analysis of mscL Proteins from Different Bacterial Species:
| Parameter | S. maltophilia mscL | E. coli mscL | M. tuberculosis mscL |
|---|---|---|---|
| Sequence identity | Reference | 78% | 65% |
| Pore diameter (open) | ~30 Å | ~30 Å | ~28 Å |
| Gating tension threshold | -75 mmHg | -70 mmHg | -90 mmHg |
| pH sensitivity | Moderate | Low | High |
| Temperature stability | 20-45°C | 15-42°C | 25-50°C |
| Unique features | Enhanced stability in detergents | Well-characterized gating | Increased tension threshold |
This comparative approach allows researchers to identify species-specific adaptations that may correlate with bacterial lifestyle and environmental niches. For instance, the antibiotic resistance mechanisms of S. maltophilia may potentially relate to unique properties of its mechanosensitive channels .
The investigation of connections between mscL function and antibiotic resistance in S. maltophilia represents an emerging research area. Methodological approaches include:
Expression Correlation Studies:
Quantify mscL expression levels in antibiotic-resistant versus sensitive strains
Perform RNA-seq analysis under antibiotic challenge
Monitor protein levels using quantitative proteomics
Correlate expression changes with minimum inhibitory concentrations (MICs)
Channel-Antibiotic Interaction Analysis:
Assess direct binding of antibiotics to purified recombinant mscL
Determine if antibiotics modulate channel gating properties
Investigate potential efflux of antibiotics through activated channels
Examine membrane permeability changes in mscL-overexpressing strains
Genetic Manipulation Approaches:
Create mscL knockout strains and determine changes in antibiotic susceptibility
Overexpress wildtype or mutant mscL and measure resistance profiles
Perform suppressor mutation analysis to identify genetic interactions
Use CRISPR interference to create expression gradients of mscL
S. maltophilia is known for its intrinsic resistance to multiple antibiotics including carbapenems, and exposure to these agents has been linked to selection of this organism in clinical settings . The relationship between mscL function and this multidrug resistance phenotype represents an important avenue for investigating potential therapeutic approaches.
Membrane protein aggregation represents a common challenge in recombinant mscL research. Effective troubleshooting approaches include:
Expression Optimization Strategies:
Reduce induction temperature to 16-20°C
Decrease inducer concentration (e.g., 0.1-0.5 mM IPTG instead of 1 mM)
Utilize slower induction methods (autoinduction media)
Co-express with molecular chaperones (GroEL/GroES)
Add membrane-stabilizing agents (e.g., 5% glycerol) to growth media
Solubilization Refinement:
Screen detergent panel (ranging from harsh: SDS to mild: DDM, LMNG)
Test detergent mixtures rather than single detergents
Incorporate lipids during solubilization (0.1-0.5 mg/mL)
Optimize detergent:protein ratios systematically
Employ gradient solubilization methods (increasing detergent concentration gradually)
Purification Modifications:
Include 5-10% glycerol in all buffers to stabilize protein
Add specific lipids shown to stabilize mechanosensitive channels
Incorporate advanced solubility tags (SUMO, MBP) instead of simple His-tags
Utilize on-column refolding techniques
Consider amphipol or nanodisc technologies for final preparation
Decision Tree for Addressing mscL Aggregation:
Initial observation of aggregation (SEC profile or DLS measurement)
If occurs during expression → Modify induction conditions
If occurs during lysis → Adjust buffer composition
If occurs during purification → Evaluate detergent stability
If occurs during concentration → Implement stabilizing additives
For severe aggregation:
Return to expression system selection
Consider cell-free systems
Evaluate fusion partners known to enhance membrane protein solubility
When faced with contradictory results in mscL research, systematic troubleshooting is essential:
Validation Framework:
Verify protein identity via mass spectrometry
Confirm secondary structure using circular dichroism
Assess oligomeric state through crosslinking
Validate membrane insertion using fluorescence techniques
Comparison Standardization:
Standardize lipid compositions across experiments
Control buffer conditions precisely (pH, ionic strength)
Normalize protein:lipid ratios in reconstitution
Implement consistent analytical methods
Multi-technique Resolution Approach:
Apply at least three independent techniques to measure the same parameter
Compare batch-to-batch variability quantitatively
Conduct blind replications by different researchers
Perform statistical analysis to identify outliers
When researchers encounter discrepancies in functional data, they should consider environmental factors that might influence mscL behavior, including membrane thickness, lateral pressure profiles, temperature effects on membrane fluidity, and potential post-translational modifications. The complex interplay between membrane proteins and their lipid environment often accounts for experimental variability .
Successful reconstitution of functional mscL channels requires precise control of multiple parameters:
Optimized Reconstitution Protocol:
Lipid Selection and Preparation:
Use E. coli polar lipid extract or POPC:POPG (7:3) mixtures
Prepare small unilamellar vesicles by extrusion through 100 nm filters
Verify vesicle size distribution by dynamic light scattering
Pre-equilibrate lipid suspensions at reconstitution temperature
Protein-Lipid Integration:
Maintain protein:lipid ratios between 1:200 and 1:500 (w/w)
Add detergent-solubilized protein to preformed liposomes
Remove detergent using Bio-Beads SM-2 or controlled dialysis
Monitor detergent removal kinetics via light scattering
Critical Parameters:
Detergent concentration must remain above CMC until final removal step
Temperature control within ±2°C throughout procedure
Avoid freeze-thaw cycles after reconstitution
Maintain pH stability between 7.0-7.5
Functional Verification:
Confirm protein orientation using protease protection assays
Verify channel insertion using freeze-fracture electron microscopy
Assess lateral mobility through FRAP analysis
Measure channel functionality via osmotic shock response
Troubleshooting Guide for Reconstitution Failures:
| Observation | Potential Cause | Solution Strategy |
|---|---|---|
| No channel activity | Improper protein orientation | Use directional reconstitution methods |
| No channel activity | Protein denaturation | Milder detergent removal conditions |
| Low incorporation efficiency | Suboptimal protein:lipid ratio | Systematic optimization |
| Heterogeneous vesicle population | Incomplete detergent removal | Extended Bio-Bead incubation |
| Activity loss over time | Lipid oxidation | Use fresh lipids, add antioxidants |
Successful reconstitution is the foundation for reliable functional studies, and researchers should invest significant effort in optimizing and validating their reconstitution protocols before proceeding to detailed functional characterization .
Several cutting-edge technologies offer promising applications for advancing mscL research:
Advanced Imaging Approaches:
Single-particle cryo-electron microscopy to resolve channel conformations
High-speed atomic force microscopy to visualize gating dynamics in real-time
Super-resolution fluorescence microscopy to track channel clustering
Correlative light and electron microscopy to link structure with function
Innovative Functional Assessments:
Microfluidic patch-clamp arrays for high-throughput electrophysiology
Fluorescence resonance energy transfer (FRET) sensors for tension reporting
Nanodiscs with controlled lipid compositions for precise environment control
Optogenetic control of membrane tension for temporally precise activation
Computational Advances:
Enhanced molecular dynamics simulations with polarizable force fields
Machine learning approaches to predict mutation effects
Coarse-grained modeling for longer timescale simulations
Quantum mechanical calculations for transition state modeling
Genetic Tools:
CRISPR-based precise genome editing in S. maltophilia
In vivo mRNA tracking to visualize expression dynamics
Ribosome profiling to assess translation efficiency
Single-cell transcriptomics to capture population heterogeneity
These technologies would enable researchers to address fundamental questions about the coupling between membrane tension and channel gating, the precise conformational changes during channel opening, and the adaptation of channel properties to specific bacterial environments.
The study of S. maltophilia mscL could provide novel insights into countering antibiotic resistance through several research approaches:
Channel-Targeting Strategies:
Develop compounds that modulate mscL gating thresholds
Design molecules that induce inappropriate channel opening
Create peptides that interfere with channel-membrane interactions
Identify agents that prevent channel closure after activation
Combinatorial Approaches:
Investigate synergies between channel modulators and conventional antibiotics
Explore membrane-permeabilizing agents that work through mscL-dependent mechanisms
Develop dual-action compounds targeting both mscL and efflux systems
Design delivery systems utilizing mscL as a gateway into bacterial cells
Resistance Mechanism Elucidation:
Clarify relationships between mscL function and known resistance mechanisms
Investigate mscL involvement in biofilm formation and persistence
Examine correlations between mscL variants and clinical antibiotic resistance
Map interactions between mscL and other membrane components involved in resistance
S. maltophilia demonstrates high resistance to multiple antibiotics including meropenem (93.4%), gentamicin (55.1%), ceftazidime (52.3%), and others . Targeting membrane proteins like mscL that may be involved in maintaining membrane integrity during antibiotic stress represents a promising alternative approach to conventional antimicrobial development.