KEGG: ypo:BZ17_871
The recombinant YPTB1631 protein is typically produced in E. coli expression systems with an N-terminal His-tag to facilitate purification. The expression construct contains the full-length coding sequence (amino acids 1-153) of the native protein . When designing expression strategies, researchers should consider that:
The protein is membrane-associated, which can complicate expression and purification
E. coli BL21(DE3) or similar strains are commonly used as expression hosts
The His-tag enables purification via immobilized metal affinity chromatography (IMAC)
The purified protein typically achieves >90% purity as determined by SDS-PAGE
Optimal storage of recombinant YPTB1631 requires careful attention to temperature and formulation:
Store lyophilized protein at -20°C/-80°C upon receipt
For reconstituted protein, aliquot to avoid repeated freeze-thaw cycles
Working aliquots can be stored at 4°C for up to one week
For long-term storage, add glycerol to a final concentration of 5-50% (50% is recommended)
Repeated freeze-thaw cycles significantly reduce protein activity and should be strictly avoided to maintain structural integrity and function .
For optimal reconstitution of lyophilized YPTB1631:
Briefly centrifuge the vial before opening to bring contents to the bottom
Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL
For long-term storage, add glycerol to a final concentration of 5-50%
Aliquot to minimize freeze-thaw cycles
The protein is typically supplied in a Tris/PBS-based buffer with 6% trehalose at pH 8.0
This reconstitution approach helps maintain protein stability and function while minimizing aggregation or precipitation that can occur with membrane proteins.
Optimizing membrane protein expression requires systematic evaluation of multiple variables. Based on comparable studies with other recombinant proteins, a factorial experimental design approach can be highly effective:
Evaluate induction parameters:
IPTG concentration (typically 0.1-1.0 mM)
Induction temperature (15-37°C, with lower temperatures often favoring proper folding)
Induction duration (4-24 hours)
Induction at different culture densities (OD600 of 0.6-1.0)
Optimize media composition:
Compare rich media (LB, TB, 2YT) vs. minimal media
Test supplementation with glucose (0.5-1%)
Evaluate additives that can enhance membrane protein expression:
Glycerol (0.5-2%)
Sorbitol (0.5-1 M)
Betaine (1-2.5 mM)
Consider expression strains specifically designed for membrane proteins:
C41(DE3) and C43(DE3)
Lemo21(DE3)
Rosetta strains for rare codon optimization
Statistical analysis of these variables can identify optimal conditions, as demonstrated in comparable studies where expression increased from minimal to 250 mg/L through systematic optimization .
Membrane protein purification presents several challenges that can be addressed with specialized techniques:
Solubilization strategies:
Screen multiple detergents (DDM, LDAO, OG, CHAPS) at various concentrations
Test mixed micelle systems combining different detergent types
Consider nanodiscs or amphipols for maintaining native-like environment
Two-step purification approach:
Initial IMAC purification using the His-tag
Secondary purification via size exclusion chromatography or ion exchange
Target >90% purity as verified by SDS-PAGE
Protein stabilization:
Maintain detergent concentration above CMC throughout purification
Include glycerol (10-20%) in all buffers
Test stabilizing additives (specific lipids, cholesterol hemisuccinate)
Optimize pH and ionic strength
Quality control:
Verify protein folding through circular dichroism or fluorescence spectroscopy
Assess homogeneity by dynamic light scattering
Confirm functionality through binding or activity assays specific to the protein family
Investigating uncharacterized membrane proteins like YPTB1631 requires multiple complementary approaches:
Bioinformatic analysis:
Sequence homology with characterized proteins across species
Structural prediction using tools like AlphaFold2
Identification of conserved domains or motifs
Genomic context analysis (operons, neighboring genes)
Protein interaction studies:
Pull-down assays using the His-tagged protein
Bacterial two-hybrid screening
Crosslinking mass spectrometry to identify interaction partners
Co-immunoprecipitation with candidate interactors
Gene knockout/complementation:
Phenotypic analysis of YPTB1631 deletion mutants
Complementation studies with the recombinant protein
Comparative transcriptomics of wild-type vs. mutant strains
Localization studies:
Immunofluorescence microscopy
Subcellular fractionation followed by Western blotting
GFP fusion protein analysis
These approaches can provide converging evidence about the functional role of this uncharacterized membrane protein in Yersinia pseudotuberculosis biology.
Understanding membrane protein topology is crucial for functional studies. For YPTB1631, consider these methods:
Computational prediction:
Hydropathy analysis of the amino acid sequence
Topology prediction algorithms (TMHMM, Phobius, TOPCONS)
Comparison with homologous proteins of known topology
Experimental verification:
Cysteine scanning mutagenesis with sulfhydryl reagents
Protease protection assays
Fluorescence resonance energy transfer (FRET)
Epitope insertion followed by accessibility studies
Advanced structural approaches:
Cryo-electron microscopy
X-ray crystallography (challenging but potentially informative)
Solid-state NMR spectroscopy
Combining computational predictions with experimental validation provides the most reliable topology model.
Analyzing genetic variations requires consideration of both natural variants and experimental mutations:
Natural variation analysis:
Compare YPTB1631 sequences across Yersinia strains
Identify conserved vs. variable regions
Correlate variations with phenotypic differences between strains
Site-directed mutagenesis approaches:
Target conserved amino acids to identify essential residues
Modify predicted functional domains
Create chimeric proteins with homologs to map functional regions
Structural impact assessment:
Model the effect of variations on protein folding
Identify mutations that might affect membrane insertion
Predict alterations to protein-protein interaction interfaces
This understanding helps contextualize experimental results and can guide the design of protein variants with altered functions for mechanism studies.
Understanding the transcriptional regulation provides context for protein expression studies:
Promoter analysis:
Identify transcription factor binding sites in the promoter region
Analyze the presence of regulatory elements like UTR sequences that might affect translation
Consider similarities to known regulated genes in Yersinia
Expression analysis methods:
qRT-PCR under different growth conditions
RNA-seq data mining across various experimental conditions
Reporter gene fusions to monitor promoter activity
Regulatory network integration:
Identify conditions that upregulate or downregulate expression
Connect expression patterns to specific stress responses or virulence pathways
Consider potential post-transcriptional regulation mechanisms
Research with recombinant proteins should ideally reflect physiologically relevant conditions for expression that might be informed by understanding these regulatory mechanisms.
Membrane protein crystallization presents unique challenges requiring specialized approaches:
Detergent screening:
Systematic testing of detergent types and concentrations
Evaluating detergent-lipid mixtures
Using facial amphiphiles or novel surfactants
Crystallization techniques:
Lipidic cubic phase (LCP) crystallization
Bicelle-based crystallization
Vapor diffusion with specialized additives
Antibody fragment co-crystallization to provide crystal contacts
Protein engineering for crystallization:
Truncation of flexible regions
Fusion with crystallization chaperones
Surface entropy reduction through targeted mutations
Thermostabilizing mutations
Alternative structural approaches:
Cryo-EM single-particle analysis
Electron crystallography
NMR studies of selectively labeled protein
These methods require iterative optimization but can provide critical structural insights unavailable through other approaches.
Comparative analysis provides evolutionary context and functional hints:
Homology search strategies:
BLAST analysis against bacterial proteomes
Hidden Markov Model profile searches
Structure-based similarity searches
Phylogenetic analysis:
Construction of phylogenetic trees to identify closest homologs
Mapping of conserved vs. divergent regions
Correlation with bacterial taxonomy and ecological niches
Functional inference:
Data mining of characterized homologs in model organisms
Identification of conserved functional motifs
Analysis of genomic context conservation (synteny)
Experimental validation:
Complementation studies across species
Heterologous expression and functional testing
Comparison of interaction partners between homologs
This comparative approach can provide crucial insights when direct experimental data on YPTB1631 is limited.
Future research on YPTB1631 could focus on:
Functional genomics approaches:
CRISPR-Cas9 based gene editing in Yersinia
High-throughput phenotypic screening
Suppressor mutation analysis
Systems biology integration:
Proteomics to identify interaction networks
Metabolomics to detect metabolic changes in mutants
Multi-omics data integration
Structural biology advancements:
Cryo-EM single-particle analysis
Hydrogen-deuterium exchange mass spectrometry
Solid-state NMR spectroscopy
Translational research potential:
Evaluation as a potential therapeutic target
Development of specific antibodies or inhibitors
Assessment of role in bacterial virulence
These approaches can collectively advance our understanding of this uncharacterized membrane protein and potentially reveal new insights into Yersinia pseudotuberculosis biology and pathogenesis.