Recombinant Tola_1474 is typically produced in E. coli or yeast systems, followed by affinity chromatography purification. Key validation steps include:
Functional assays: Limited data on enzymatic or binding activity, as the UPF0114 family remains uncharacterized .
The Tola_1474 gene is part of the genome of Tolumonas auensis TA4, a Gram-negative bacterium known for producing toluene from phenylalanine under oxic/anoxic conditions . While the genome of TA4 has been fully sequenced, the specific role of Tola_1474 in toluene biosynthesis or other pathways is not yet defined .
Pathway associations: No experimentally confirmed pathways; computational predictions suggest potential roles in membrane processes .
Recombinant Tola_1474 is primarily used in:
Antibody development: As an immunogen for polyclonal/monoclonal antibody production .
Structural studies: Analysis of UPF0114 family folding and domain architecture .
Enzyme characterization: Preliminary screens for catalytic activity .
KEGG: tau:Tola_1474
STRING: 595494.Tola_1474
Tola_1474 is a 167-amino acid protein belonging to the UPF0114 protein family, derived from Tolumonas auensis, a gram-negative bacterium originally isolated from anoxic sediments of a freshwater lake. The recombinant form is typically expressed with an N-terminal His tag to facilitate purification and subsequent experimental applications .
The protein has several notable characteristics:
Full amino acid sequence: MERFIERLMYSARWIMAPIYLGLSLALLALGIKFFQEVFHIFTVIISMKEVELILIILSLIDISLVGGLIVMVMYSGYENFVSRLDLDDHDDKLSWLGKLDAGSLKNKVAASIVAISSIHLLKVFMNTENIADDKIKWYLLIHITFVMSAFAMGYLDKLLRDKDSPH
Analysis of the sequence suggests the presence of multiple transmembrane regions, consistent with a membrane-associated function
Tolumonas auensis (strain TA4) is a unique bacterium with several distinctive properties:
Cells are nonmotile, gram-negative rods measuring 0.9 to 1.2 by 2.5 to 3.2 microns
It has the unusual capability of producing toluene from phenylalanine, phenylpyruvate, phenyllactate, and phenylacetate
Growth occurs under both oxic and anoxic conditions, demonstrating metabolic versatility
Major fermentation products when grown on glucose include acetate, ethanol, and formate
Contains ubiquinone 8 and menaquinone 8 as major lipoquinones under both oxic and anoxic growth conditions
Taxonomically classified in the gamma subclass of Proteobacteria based on 16S ribosomal DNA sequence analysis
For optimal stability and activity of recombinant Tola_1474, follow these methodological guidelines:
Initial receipt handling:
Storage conditions:
Reconstitution protocol:
Buffer considerations:
Based on available research data, E. coli has been successfully employed as the primary expression system for recombinant Tola_1474 . A methodological approach to expression optimization includes:
Expression vector selection:
Vectors containing T7 or tac promoters for inducible expression
Integration of an N-terminal His tag for affinity purification
Consideration of fusion partners (e.g., MBP, SUMO) if expression yields are suboptimal
E. coli strain optimization:
BL21(DE3) and derivatives are commonly used for recombinant protein expression
For membrane-associated proteins like Tola_1474, specialized strains such as C41(DE3) or C43(DE3) may offer advantages
Induction parameters to systematically optimize:
IPTG concentration: Typically 0.1-1.0 mM
Induction temperature: Lower temperatures (16-25°C) often yield better solubility for membrane-associated proteins
Induction duration: 4-18 hours, with extended times at lower temperatures
Cell lysis and protein extraction:
For membrane-associated proteins, inclusion of detergents may be necessary
Gentle lysis methods (e.g., enzymatic lysis with lysozyme followed by mild sonication) may preserve protein structure
A multi-step purification approach is recommended for obtaining high-purity Tola_1474 suitable for structural and functional studies:
Immobilized Metal Affinity Chromatography (IMAC):
Primary capture using Ni-NTA or Co-NTA resins
Binding buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10-20 mM imidazole
Wash buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 20-50 mM imidazole
Elution buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 250-300 mM imidazole
Size Exclusion Chromatography (SEC):
Secondary purification step to remove aggregates and further purify the protein
Recommended column: Superdex 75 or Superdex 200
Running buffer: 20 mM Tris-HCl pH 8.0, 150 mM NaCl
Quality control assessments:
When encountering challenges with Tola_1474 expression and purification, apply these methodological approaches:
For low expression yields:
Optimize codon usage for E. coli
Reduce expression temperature (16-20°C)
Test different E. coli host strains
Consider auto-induction media instead of IPTG induction
Evaluate expression at different time points post-induction
For poor solubility:
Include membrane-mimetic environments during extraction:
Detergents (DDM, LDAO, Triton X-100)
Lipid nanodiscs
Amphipols
Modify lysis buffer components:
Add glycerol (5-10%)
Include mild stabilizing agents
Optimize salt concentration (150-500 mM)
For protein instability:
Add protease inhibitors during all purification steps
Minimize purification time
Maintain samples at 4°C throughout processing
Test different pH conditions (pH 7.0-8.5)
Consider additives such as trehalose or sucrose
A systematic computational approach to Tola_1474 structural and functional prediction includes:
Sequence-based analyses:
Secondary structure prediction using PSIPRED or JPred
Transmembrane topology prediction with TMHMM or Phobius
Identification of conserved domains and motifs using InterPro or Pfam
Analysis of sequence conservation patterns across homologs
Three-dimensional structure prediction:
Template-based modeling if homologous structures exist
Ab initio modeling using Rosetta or I-TASSER
Deep learning approaches like AlphaFold2 or RoseTTAFold
Molecular dynamics simulations to refine predictions
Functional annotation:
Gene ontology term prediction
Protein-protein interaction network analysis
Metabolic pathway mapping
Comparison with functionally characterized homologs
Validation of predictions:
Comparison across different prediction methods
Assessment of prediction confidence scores
Experimental validation of key predictions through targeted mutagenesis
Given the predicted membrane association of Tola_1474, these methodological approaches can experimentally determine its topology:
Cysteine accessibility methods:
Substitute native cysteines with alanine
Introduce single cysteines at strategic positions
Probe accessibility with membrane-permeable and impermeable thiol-reactive reagents
Analysis by mass spectrometry or gel mobility shifts
Protease protection assays:
Express Tola_1474 in membranous systems
Treat with proteases in the presence and absence of membrane permeabilization
Identify protected fragments by Western blotting or mass spectrometry
Map results to determine membrane-embedded regions
Fluorescence-based approaches:
GFP fusion analysis to terminal and internal sites
pH-sensitive fluorescent protein tags to determine luminal/cytoplasmic orientation
FRET-based distance measurements between domains
Structural biology techniques:
Cryo-electron microscopy of membrane-embedded protein
X-ray crystallography of detergent-solubilized or lipid cubic phase preparations
Solid-state NMR of isotopically labeled protein in membrane mimetics
A comprehensive strategy for functional characterization includes:
Gene knockout/complementation studies:
Generate Tola_1474 deletion mutants in Tolumonas auensis
Characterize phenotypic changes under various growth conditions
Complement with wild-type and mutant versions to confirm specificity
Monitor effects on toluene production pathways
Protein-protein interaction studies:
Pull-down assays using His-tagged Tola_1474
Bacterial two-hybrid screening
Cross-linking coupled with mass spectrometry
Co-immunoprecipitation with candidate interacting partners
Localization studies:
Immunogold electron microscopy
Fluorescent protein fusions with live-cell imaging
Subcellular fractionation and Western blotting
Super-resolution microscopy for detailed localization patterns
Functional assays based on predicted roles:
If transport function is suspected:
Liposome reconstitution with transport assays
Membrane potential measurements
Substrate binding studies
If enzymatic activity is predicted:
Activity assays with potential substrates
Metabolite profiling in wild-type vs. knockout strains
A systematic mutagenesis approach provides insights into critical functional elements:
Strategic target selection:
Conserved residues across UPF0114 family members
Predicted transmembrane regions and interface residues
Potential substrate binding or catalytic sites
Charged residues within transmembrane domains
Experimental design table for site-directed mutagenesis:
| Mutation Type | Target Residues | Purpose | Analytical Methods |
|---|---|---|---|
| Alanine scanning | Conserved charged/polar residues | Identify functionally essential residues | Growth phenotyping, activity assays |
| Conservative substitutions | Hydrophobic core residues | Test structural integrity requirements | Thermal stability, CD spectroscopy |
| Cysteine introduction | Surface-exposed positions | Probe accessibility, attachment points for labels | Thiol reactivity assays, fluorescence studies |
| Domain swapping | Terminal regions, loops | Define domain functions | Chimeric protein characterization |
Mutation validation workflow:
Verify expression levels comparable to wild-type
Confirm proper folding and stability
Assess subcellular localization
Quantify functional changes with appropriate assays
Determine effects on protein-protein interactions
Given the unique toluene-producing capability of Tolumonas auensis, methodological approaches to investigate Tola_1474's potential involvement include:
Comparative expression analysis:
Quantify Tola_1474 expression under conditions that induce/repress toluene production
Compare expression patterns with known enzymes in the toluene synthesis pathway
Analyze co-expression networks to identify functional relationships
Metabolic impact studies:
Protein interaction studies:
Screen for interactions with enzymes in the toluene synthesis pathway
Test for binding of pathway intermediates or regulators
Investigate potential roles in transport of precursors or products
Structural modeling focused on potential roles:
Model potential binding sites for aromatic compounds
Compare structural features with known transporters or enzymes
Design mutations to test computational predictions
Advanced imaging methodologies can reveal spatial and temporal aspects of Tola_1474 function:
Super-resolution microscopy approaches:
Stimulated Emission Depletion (STED) microscopy
Photoactivated Localization Microscopy (PALM)
Single-Molecule Localization Microscopy (SMLM)
These techniques achieve resolution below the diffraction limit (typically 20-50 nm)
Single-molecule imaging strategies:
Single-particle tracking of fluorescently labeled Tola_1474
Analysis of diffusion coefficients in different cellular regions
Determination of residence times at specific cellular locations
Detection of potential oligomerization events
Correlative microscopy methods:
Correlative Light and Electron Microscopy (CLEM)
Combines fluorescence localization with ultrastructural context
Provides nanoscale resolution of protein distribution relative to cellular ultrastructure
Dynamic imaging approaches:
Fluorescence Recovery After Photobleaching (FRAP)
Förster Resonance Energy Transfer (FRET)
Fluorescence Lifetime Imaging (FLIM)
These techniques can reveal protein dynamics and interactions in living cells
When investigating a protein with unclear function like Tola_1474, employ these methodological approaches:
Parallel hypothesis testing framework:
Formulate multiple function hypotheses based on bioinformatic predictions
Design specific experiments to test each hypothesis
Implement positive and negative controls for each functional assay
Apply Bayesian analysis to update hypothesis probabilities as data accumulates
Multi-level experimental design:
In silico: Computational predictions and modeling
In vitro: Purified protein functional assays
In vivo: Cellular localization and knockout studies
Systems-level: Transcriptomic and metabolomic impacts
Orthogonal validation approach:
Test each potential function using multiple independent methods
Triangulate results across different experimental approaches
Identify consistent patterns that emerge across diverse techniques
Decision tree for sequential experimentation:
| Initial Results | Follow-up Experiments | Validation Methods |
|---|---|---|
| Membrane localization | Transport assays, topology mapping | Liposome reconstitution, accessibility studies |
| Protein-protein interactions | Co-immunoprecipitation, Y2H | Crosslinking-MS, FRET assays |
| Metabolic impact | Metabolomics, isotope tracing | In vitro enzyme assays, substrate binding |
Modern data analysis approaches for complex protein characterization include:
Integrative data analysis workflow:
Data quality assessment and preprocessing
Normalization appropriate to each data type
Statistical testing with proper controls for multiple comparisons
Integration of multiple data types using computational frameworks
Statistical approaches for different experimental designs:
For comparing mutants: ANOVA with post-hoc tests
For dose-response relationships: Non-linear regression modeling
For time-series data: Mixed-effects models or functional data analysis
For omics data: Multivariate methods (PCA, clustering)
Machine learning applications:
Supervised learning to classify protein functions
Unsupervised learning to identify patterns in complex datasets
Feature selection to identify key experimental variables
Model validation through cross-validation and external validation sets
Biological network analysis:
Integration of protein-protein interaction data
Pathway enrichment analysis
Network visualization and community detection
Identification of functional modules and potential regulatory relationships
When faced with contradictory results, apply these systematic resolution approaches:
Methodological reconciliation workflow:
Carefully document all experimental conditions and variables
Identify specific points of contradiction between studies
Design experiments specifically addressing contradictory elements
Implement standardized protocols across research groups
Sources of variation to investigate:
Protein construct differences (tags, fusion partners)
Expression systems and purification methods
Buffer compositions and experimental conditions
Detection methods and their sensitivity/specificity
Statistical power and sample sizes
Collaborative validation approaches:
Inter-laboratory validation studies
Sharing of reagents and standardized protocols
Blind testing of key hypotheses
Meta-analysis of compiled data across studies
Embracing biological complexity:
Consider context-dependent protein functions
Investigate condition-specific effects
Explore potential post-translational modifications
Evaluate impacts of interaction partners or membrane environment
Several cutting-edge technologies offer promising approaches for deeper insights:
Cryo-electron microscopy advances:
Single-particle analysis for high-resolution structure determination
Cryo-electron tomography for in situ structural visualization
Time-resolved cryo-EM for capturing conformational dynamics
Integrative structural biology approaches:
Combining multiple structural techniques (X-ray, NMR, SAXS)
Integrative modeling using sparse and diverse experimental data
In-cell structural determination using emerging methods
Advanced genetic tools:
CRISPR interference for tunable gene expression control
Base editing for precise point mutations
Proximity labeling for in vivo interaction mapping
Optogenetic control of protein activity
Systems biology frameworks:
Multi-omics integration (transcriptomics, proteomics, metabolomics)
Genome-scale metabolic modeling
Protein structure and function prediction using deep learning
Tola_1474 research offers opportunities to address fundamental questions in protein evolution:
Comparative genomics approaches:
Identify UPF0114 family members across bacterial lineages
Analyze sequence conservation patterns and selection pressures
Reconstruct evolutionary history and potential functional divergence
Identify co-evolving gene families that may indicate functional relationships
Structure-guided evolutionary analysis:
Map conservation onto structural models
Identify structurally conserved but sequence-variable regions
Analyze evolution of transmembrane topology
Compare with other membrane protein families
Experimental evolution studies:
Direct evolution experiments under selective pressures
Analysis of mutational tolerance across protein regions
Investigation of potential adaptive mutations
Reconstruction of ancestral protein sequences
Functional innovation exploration:
Investigate functional diversity across UPF0114 family members
Test for neofunctionalization or subfunctionalization
Analyze contributions to species-specific metabolic capabilities
Connect to Tolumonas auensis' unique toluene production ability
Understanding this protein could lead to several applied outcomes:
Biocatalysis applications:
If enzymatic activity is discovered, potential use in biocatalytic processes
Engineering of enzyme variants with enhanced activity or substrate specificity
Application in biosynthesis of aromatic compounds
Potential roles in bioremediation of aromatic pollutants
Membrane protein engineering platforms:
Development as a scaffold for engineered membrane proteins
Creation of chimeric proteins with novel functions
Template for computational design of membrane proteins
Model system for studying membrane protein folding and stability
Biosensor development:
If substrate binding capabilities are identified, potential biosensor applications
Development of whole-cell biosensors for environmental monitoring
Creation of protein-based detection systems for specific compounds
Metabolic engineering applications:
Potential roles in engineered pathways for aromatic compound production
Contribution to biofuel or fine chemical biosynthesis
Enhancement of toluene production capabilities in industrial strains