KEGG: btk:BT9727_1053
The BT9727_1053 protein is a 121 amino acid protein with the sequence: MVHMHITAWALGLILFFVAYSLYSAGRKGKGVHMGLRLMYIIIIVTGFMLYMGIMKTATSNMHMWYGLKMIAGILVIGGMEMVLVKMSKNKATGAVWGLFIVALVAVFYLGLKLPIGWQVF . This protein is classified as a UPF0344 family protein derived from Bacillus thuringiensis subspecies konkukian. The recombinant form typically includes an N-terminal His-tag to facilitate purification processes . Structural analysis suggests it may contain transmembrane domains based on the hydrophobic amino acid stretches present in its sequence.
While BT9727_1053 has been successfully expressed in E. coli systems as documented in the product specifications , researchers should consider several methodological approaches when optimizing expression. The E. coli system offers advantages of high yield and relatively straightforward purification through the His-tag affinity chromatography. For experimental design considerations, researchers should evaluate:
When using E. coli, optimization of induction temperature (typically 16-30°C), IPTG concentration, and induction time are critical parameters that should be experimentally determined for maximum soluble protein yield.
The BT9727_1053 protein requires specific storage conditions to maintain its structural integrity and biological activity. According to product specifications, the protein should be stored at -20°C/-80°C upon receipt, with aliquoting necessary for multiple use to avoid repeated freeze-thaw cycles . Methodologically, researchers should:
Centrifuge the vial briefly before opening to bring contents to the bottom
Reconstitute the lyophilized protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% (50% is recommended as default)
Store working aliquots at 4°C for up to one week to minimize degradation
For long-term storage, maintain at -20°C/-80°C in Tris/PBS-based buffer with 6% trehalose at pH 8.0
This storage protocol preserves protein integrity while minimizing structural alterations that could affect experimental outcomes.
The BT9727_1053 protein belongs to the UPF0344 protein family, which contains several predicted functional regions. Based on sequence analysis of the 121 amino acid sequence , researchers can identify potential functional domains using bioinformatic approaches similar to those employed in de novo protein design . The sequence analysis reveals:
Hydrophobic regions suggesting membrane association (amino acids 8-28 and 50-70)
Conserved charged residues (particularly the Arginine-Lysine rich region at positions 25-30) that may be involved in protein-protein interactions
Potential binding sites based on the conserved motifs within the UPF0344 family
Researchers investigating domain function should consider employing site-directed mutagenesis to systematically alter these regions and assess impact on protein function. Circular dichroism (CD) spectroscopy, size-exclusion chromatography combined with multi-angle light scattering (SEC-MALS), and NMR spectroscopy are recommended methodological approaches for characterizing structural changes .
While Bacillus thuringiensis is known for producing insecticidal crystal proteins (delta endotoxins) , the BT9727_1053 protein belongs to a different functional category (UPF0344). Using comparative analysis methodologies:
| Protein Type | Primary Function | Expression Pattern | Cellular Localization | Relevance to BT9727_1053 |
|---|---|---|---|---|
| Crystal proteins (Cry) | Insecticidal activity | During sporulation | Crystal inclusions | Different family, unlikely functional overlap |
| Vegetative insecticidal proteins | Insecticidal activity | Vegetative growth | Secreted | Different family, unlikely functional overlap |
| UPF0344 family (BT9727_1053) | Unknown/predicted membrane function | Constitutive (predicted) | Likely membrane-associated | Direct research target |
| Housekeeping proteins | Metabolic functions | Constitutive | Various | Potential functional interaction partners |
Research methodologies to establish functional relationships should include co-immunoprecipitation experiments (similar to those used in NME1-DNM2 interaction studies ), protein-protein interaction assays, and comparative genomics to identify conserved gene neighborhoods that might suggest functional associations.
Based on sequence analysis and the presence of hydrophobic regions, BT9727_1053 likely functions as a membrane-associated protein. Methodological approaches to investigate its physiological role should include:
Gene knockout or CRISPR interference studies to assess phenotypic changes
Fluorescent tagging for localization studies using confocal microscopy
RNA-seq analysis of knockout strains to identify dysregulated pathways
Membrane fraction isolation and proteomic analysis to identify interaction partners
The hydrophobic nature of the amino acid sequence (MVHMHITAWALGLILFFVAYSLYSAGRKGKGVHMGLRLMYIIIIVTGFMLYMGIMKTATSNMHMWYGLKMIAGILVIGGMEMVLVKMSKNKATGAVWGLFIVALVAVFYLGLKLPIGWQVF) suggests potential roles in:
Membrane stability or organization
Small molecule transport
Signal transduction
Cell envelope stress response
Researchers should design experiments that systematically test these hypotheses using both in vitro and in vivo approaches.
The recombinant BT9727_1053 protein contains an N-terminal His-tag specifically designed for affinity purification . An optimal purification workflow should include:
| Purification Step | Methodology | Critical Parameters | Expected Outcome |
|---|---|---|---|
| Initial Capture | Ni-NTA affinity chromatography | Buffer pH 7.5-8.0, 20-40 mM imidazole in washing buffer | >80% purity |
| Intermediate Purification | Ion exchange chromatography | pH selection based on theoretical pI | >90% purity |
| Polishing | Size exclusion chromatography | Flow rate optimization, buffer compatibility | >95% purity |
| Quality Control | SDS-PAGE and Western blot | Use anti-His antibodies for detection | Confirmation of purity and identity |
For membrane-associated proteins like BT9727_1053, consider adding mild detergents (0.1% Triton X-100 or 0.5% CHAPS) during lysis and initial purification steps to improve solubility. Validate purification success using SDS-PAGE with expected molecular weight around 15-16 kDa (including His-tag).
Structural characterization of BT9727_1053 requires a multi-technique approach similar to that used in de novo protein design studies :
Circular Dichroism (CD) Spectroscopy:
Prepare protein at 0.1-0.2 mg/mL in phosphate buffer (pH 7.4)
Scan range: 190-260 nm
Temperature range studies (20-90°C) to assess thermal stability
Expected outcome: Characteristic αβ-protein spectrum if properly folded
Size-Exclusion Chromatography with Multi-Angle Light Scattering (SEC-MALS):
Use to determine oligomeric state and homogeneity
Calibrate column with appropriate molecular weight standards
Expected outcome: Single peak corresponding to monomeric protein (~16 kDa)
NMR Spectroscopy:
X-ray Crystallography:
Initial screening using commercial sparse matrix screens
Optimization of promising conditions
Consider membrane protein-specific crystallization approaches
For membrane proteins like BT9727_1053, researchers should also consider using detergent micelles or nanodiscs to mimic the membrane environment during structural studies.
To investigate potential interaction partners of BT9727_1053, researchers should employ a systematic approach:
Yeast Two-Hybrid Screening:
Consider membrane-based Y2H systems for membrane-associated proteins
Use both N-terminal and C-terminal fusion constructs to minimize steric hindrance
Co-Immunoprecipitation:
Proximity-Based Labeling:
Fuse BT9727_1053 to BioID or APEX2
Express in Bacillus thuringiensis or E. coli
Identify biotinylated proteins as potential interaction partners
Surface Plasmon Resonance:
Immobilize purified BT9727_1053 on sensor chip
Flow potential interaction partners over surface
Determine binding kinetics and affinity constants
Data analysis should include appropriate controls and statistical validation to ensure reproducibility and significance of identified interactions.
The BT9727_1053 protein represents an interesting candidate for structure prediction studies due to its classification in the UPF0344 family. Methodologically, researchers can:
Employ AI-based protein structure prediction tools (like AlphaFold2) to generate theoretical models
Validate predictions through experimental structure determination
Compare predicted vs. experimental structures to refine prediction algorithms
This approach contributes to the broader goal of improving accuracy in protein structure prediction as outlined in full-length protein research . The relatively small size (121 amino acids) of BT9727_1053 makes it a manageable target for both computational prediction and experimental validation.
Designing effective antibodies against BT9727_1053 requires strategic epitope selection:
| Epitope Region | Advantages | Disadvantages | Recommended Application |
|---|---|---|---|
| N-terminal region | Accessible, unique sequence | May be blocked by His-tag | Western blot after tag removal |
| Hydrophilic loops | Surface-exposed, specific | Limited number in membrane proteins | Immunoprecipitation, ELISA |
| C-terminal region | Often accessible | May be involved in protein interactions | Functional blocking studies |
Researchers should:
Perform epitope prediction using bioinformatic tools
Avoid hydrophobic transmembrane regions
Consider generating antibodies against synthetic peptides corresponding to predicted extracellular regions
Validate antibody specificity using both wildtype and knockout/knockdown samples
Both polyclonal and monoclonal approaches have merit, with monoclonals offering higher specificity but potentially limited epitope recognition.
Membrane-associated proteins like BT9727_1053 present specific technical challenges:
| Challenge | Potential Causes | Solution Strategies |
|---|---|---|
| Poor expression yield | Toxicity to host, improper folding | Lower induction temperature (16-20°C), use specialized E. coli strains (C41/C43) |
| Protein aggregation | Hydrophobic regions, improper folding | Add mild detergents, optimize buffer composition, consider fusion partners |
| Limited solubility | Membrane association | Use detergents (DDM, LDAO), consider protein engineering to improve solubility |
| Protein degradation | Protease sensitivity | Add protease inhibitors, optimize purification speed, maintain cold temperatures |
| Inconsistent assay results | Protein quality variation | Implement rigorous quality control, standardize preparation methods |
For experimental design, researchers should include appropriate controls and perform pilot studies to identify optimal conditions before proceeding to large-scale experiments.
Since the specific biological function of BT9727_1053 is not well-characterized, researchers must employ multiple approaches to validate activity:
Structural integrity verification:
Circular dichroism to confirm proper folding
Thermal shift assays to assess stability
Size exclusion chromatography to confirm monomeric state
Functional assays based on predicted activity:
Membrane binding assays if membrane association is predicted
Lipid interaction studies using liposome flotation assays
Electrophysiology if channel/transport function is suspected
Comparison to native protein:
Express and purify native protein from B. thuringiensis
Compare biochemical properties to recombinant version
Assess differences due to post-translational modifications
Without established activity assays, researchers should design experiments based on structural predictions and sequence homology to related proteins with known functions.
Several cutting-edge methodologies could significantly enhance our understanding of BT9727_1053:
Cryo-electron microscopy:
Particularly valuable for membrane proteins
Can reveal structure in native-like lipid environments
May identify structural features not apparent in crystallography
AlphaFold2 and related AI prediction tools:
Single-molecule studies:
FRET to study conformational changes
Optical tweezers to assess mechanical properties
Single-particle tracking in live cells
Integrative structural biology:
Combining multiple techniques (NMR, X-ray, cryo-EM, mass spectrometry)
Provides comprehensive structural and dynamic information
Particularly valuable for challenging proteins like BT9727_1053
These approaches align with the future directions in protein research described in the literature, which emphasize improved computational tools and databases to support full-length protein research and innovation .
Comparative studies represent a powerful approach to uncover protein function:
| Comparative Approach | Methodology | Expected Insights |
|---|---|---|
| Sequence homology | Bioinformatic analysis across bacterial species | Identification of conserved functional residues |
| Structural comparison | Superimposition of experimental or predicted structures | Recognition of conserved structural motifs |
| Phylogenetic analysis | Construction of evolutionary trees of UPF0344 family | Understanding of evolutionary constraints and function |
| Expression pattern comparison | RNA-seq under various conditions | Insights into functional context and regulation |
Researchers should particularly focus on comparing BT9727_1053 with other UPF0344 family members across different bacterial species, noting patterns of conservation that might indicate functional importance. This approach has proven valuable in understanding protein function in numerous research contexts.