Recombinant Bacillus subtilis UPF0053 protein yhdT is a partial protein derived from the bacterium Bacillus subtilis, specifically from strain 168. This protein is part of the UPF0053 family and is produced using recombinant DNA technology, typically in a baculovirus system. The recombinant form allows for large-scale production and purification of the protein for research and potential biotechnological applications.
Purity: The protein is purified to a level of greater than 85% as determined by SDS-PAGE (Sodium Dodecyl Sulfate-Polyacrylamide Gel Electrophoresis) .
Source: The protein is produced in a baculovirus system, which is commonly used for expressing recombinant proteins in insect cells .
Target Name: The target name of this protein is yhdT, and it is also known as UPF0053 protein yhdT .
Uniprot Number: The Uniprot number for this protein is O07589 .
| Characteristics | Description |
|---|---|
| Purity | >85% (SDS-PAGE) |
| Source | Baculovirus |
| Target Name | yhdT |
| Uniprot Number | O07589 |
| Shelf Life (Liquid) | 6 months at -20°C/-80°C |
| Shelf Life (Lyophilized) | 12 months at -20°C/-80°C |
KEGG: bsu:BSU09590
STRING: 224308.Bsubs1_010100005356
The yhdT protein is an uncharacterized protein belonging to the UPF0053 protein family in Bacillus subtilis. It is encoded by the yhdT gene in B. subtilis strain 168. The protein is relatively small, consisting of 80 amino acids in its full-length form . As an uncharacterized protein, its precise biological function remains to be fully elucidated, making it an interesting target for fundamental research into bacterial protein function and interactions .
The yhdT protein has the following biochemical characteristics:
The recombinant expression of yhdT can be achieved using several systems, with E. coli being the most commonly employed host. Based on current methodologies:
Vector selection: pET-based expression vectors are commonly used for recombinant protein expression. For yhdT specifically, systems that allow for tag addition (such as His-tag) facilitate subsequent purification .
Host strain: E. coli strains optimized for protein expression such as BL21(DE3) are suitable for yhdT expression .
Expression protocol:
Transform the expression vector containing the yhdT gene into the host strain
Grow transformed cells in appropriate media (typically LB with appropriate antibiotics)
Induce protein expression (commonly with IPTG if using a T7-based system)
Harvest cells and extract protein using suitable lysis methods
Alternative expression in B. subtilis: If native-like conditions are desired, B. subtilis WB800N strain can be used as shown in other recombinant protein studies. This strain has reduced protease activity, making it suitable for heterologous protein expression .
For optimal purification of recombinant yhdT protein:
Affinity chromatography: If expressed with a His-tag, immobilized metal affinity chromatography (IMAC) using Ni-NTA resin is highly effective. The protocol should include:
Secondary purification: For higher purity, follow with size exclusion chromatography (SEC) using a suitable column (Superdex 75 or similar) in a physiological buffer .
Quality assessment: Purity should be analyzed using SDS-PAGE (>85% purity is typically achievable with this approach) .
Storage considerations: The purified protein can be stored with 50% glycerol at -20°C/-80°C to maintain stability. For lyophilized preparations, reconstitution in deionized sterile water to 0.1-1.0 mg/mL is recommended .
To confirm the structural integrity of purified yhdT:
Western blotting: Using antibodies against the tag or, if available, against the protein itself
Mass spectrometry:
MALDI-TOF or ESI-MS to confirm molecular weight
Peptide mass fingerprinting after tryptic digestion for sequence verification
Circular dichroism (CD) spectroscopy: To assess secondary structure elements and proper folding
Dynamic light scattering (DLS): To check for aggregation and determine the hydrodynamic radius
Limited proteolysis: To evaluate domain organization and stability
Several techniques can be employed to study yhdT interactions with other proteins:
Yeast Two-Hybrid (Y2H) screening:
Tandem Affinity Purification coupled with Mass Spectrometry (TAP-MS):
Proximity-based labeling:
Cross-linking studies:
Genetic code expansion provides powerful tools for studying yhdT:
Incorporation of non-standard amino acids (nsAAs):
Methodological approach:
Select appropriate orthogonal tRNA/aminoacyl-tRNA synthetase pairs
Design constructs with amber (UAG) codons at sites of interest
Express in B. subtilis in media supplemented with the desired nsAA
Applications include site-specific fluorescent labeling, crosslinking for interaction studies, and photo-control of protein function
Example protocol for photo-crosslinking:
To optimize yhdT expression in B. subtilis:
Promoter selection:
Strain selection:
Codon optimization:
Adapt the coding sequence to B. subtilis codon usage bias
Remove rare codons and optimize GC content
Expression enhancement strategies:
| Promoter System | Inducer | Expression Level | Advantages |
|---|---|---|---|
| Pgrac212 | IPTG | High (up to 16% of total cellular protein) | Tight regulation, high yield |
| PxylA | Xylose | Moderate to high | Lower cost than IPTG |
| Psrfa | Self-inducing (quorum sensing) | Moderate | No need for external inducers |
| P43 | Constitutive | Moderate | Simple cultivation, no inducer needed |
To investigate the function of this uncharacterized protein:
Gene knockout and phenotypic analysis:
Generate a yhdT deletion strain in B. subtilis
Compare growth under various conditions (different temperatures, pH, osmotic stress)
Examine cell morphology, division, and stress responses
Transcriptomic and proteomic analysis:
Genome-scale metabolic modeling:
Localization studies:
Understanding stress responses requires:
Quantitative expression analysis:
RT-qPCR to measure transcript levels under different stresses
Western blotting with specific antibodies to monitor protein levels
Reporter gene fusions (e.g., yhdT promoter-GFP) for real-time monitoring
Stress conditions to test:
Integration with omics data:
For accurate quantification of yhdT protein:
Direct methods:
Amino acid analysis (AAA): The gold standard method that determines actual protein content by measuring individual amino acids after hydrolysis
Spectrophotometric methods using calculated extinction coefficients
Indirect methods and their limitations:
Comparison of methods:
| Method | Advantages | Limitations | Accuracy |
|---|---|---|---|
| Amino acid analysis | Most accurate, directly measures protein content | Time-consuming, requires specialized equipment | Highest |
| Kjeldahl method | Traditional reference method | Measures total nitrogen, not specific to protein | Moderate, uses conversion factors |
| Bradford assay | Quick, simple procedure | Interference from detergents, limited linear range | Low to moderate |
| BCA assay | Compatible with many detergents | Affected by reducing agents | Moderate |
| A280 measurement | Quick, non-destructive | Requires pure protein preparation | Good for pure samples |
Amino acid analysis is recommended as the most accurate method for yhdT quantification in research settings .
To validate predicted interaction interfaces:
Computational prediction of interfaces:
Use protein-protein docking software
Predict critical residues at the interface
Generate testable hypotheses about interaction mechanisms
Mutational analysis:
Create alanine scanning mutations at predicted interface residues
Express and purify mutant proteins
Measure binding affinities using biophysical methods
Photo-crosslinking validation:
Biophysical validation methods:
Surface Plasmon Resonance (SPR) to measure binding kinetics
Isothermal Titration Calorimetry (ITC) for thermodynamics of binding
NMR chemical shift perturbation to map interaction surfaces
This approach has proven successful in validating predicted protein-protein binding interfaces in B. subtilis, as demonstrated in recent genetic code expansion studies .
Metabolic modeling provides valuable insights into yhdT function:
Several cutting-edge approaches are particularly valuable for studying proteins with unknown functions:
AI-driven protein design and analysis:
New AI frameworks incorporate experimental data and text-based narratives to accelerate protein research
These approaches can generate testable hypotheses about protein function based on structural features
A combination of simulation data and experimental validation can optimize protein design and function prediction
High-throughput protein interaction mapping:
Single-cell proteomics:
CRISPR-based functional genomics:
Based on current methodologies, we recommend the following research workflow:
Initial characterization:
Expression and purification of recombinant yhdT protein
Structural analysis (secondary structure prediction, disorder analysis)
Subcellular localization studies
Functional analysis:
Gene knockout and phenotypic characterization
Global approaches (transcriptomics, proteomics) to identify affected pathways
Protein-protein interaction studies using multiple complementary techniques
Mechanistic studies:
Site-directed mutagenesis of conserved residues
Genetic code expansion for photo-crosslinking
Detailed biochemical characterization of any identified activities
Integration with systems biology:
Incorporation of findings into metabolic models
Generation and testing of new hypotheses from model predictions
Iterative refinement of functional understanding
This comprehensive workflow leverages cutting-edge techniques while maintaining rigorous validation at each step to ensure reliable characterization of this uncharacterized protein .