Recombinant Yersinia pestis bv. Antiqua UPF0266 membrane protein YPA_1127 (YPA_1127) is a recombinant protein derived from the bacterium Yersinia pestis, specifically from the biovar Antiqua. This protein is classified under the UPF0266 family and is known for its role as a membrane protein. The recombinant form of YPA_1127 is typically expressed in Escherichia coli (E. coli) and is often tagged with a His-tag for purification purposes .
While specific details on the secondary, tertiary, and quaternary structures of YPA_1127 are not widely available, proteins generally achieve these structures through various interactions such as hydrogen bonds, ionic bonds, and hydrophobic interactions. These structures are essential for the protein's stability and function2 .
YPA_1127 is involved in several biochemical pathways, although specific functions are not extensively documented. It is known to interact with other proteins and molecules, contributing to its role in cellular processes .
YPA_1127 is typically expressed in E. coli, which offers high yields and efficient production. Other hosts like yeast can also be used, providing similar advantages. For more complex post-translational modifications, expression in insect or mammalian cells might be necessary .
Recombinant YPA_1127 is primarily used in life sciences research, particularly for studying Yersinia pestis and its pathogenic mechanisms. It can be utilized in ELISA kits for detecting antibodies against Yersinia pestis or for investigating protein interactions and pathways .
KEGG: ypa:YPA_1127
YPA_1127 is a UPF0266 family membrane protein found in Yersinia pestis biovar Antiqua. It is a full-length protein consisting of 153 amino acids with the sequence: "MSVTDLVLVVFIALLLIYAIYDEFIMNMMKGKTRLQVHLKRKNKLDCMIFVGLIGILIYNVMAHGAPLTTYLLVGLALVAVYISYIRWPKLLFKNTGFFYANTFIEYSRIKSMNLSEDGILVIDLEQRRLLIQVKKLDDLEKIYNFFIENQS" . The protein is identified by UniProt ID Q1C8X8 and is characterized as a membrane-associated protein, suggesting its involvement in membrane-related processes . Structural analysis indicates multiple hydrophobic regions consistent with transmembrane domains, which is typical of membrane proteins.
Initial characterization should begin with bioinformatic analysis to predict protein domains, potential post-translational modifications, and transmembrane regions. For experimental characterization, researchers should:
Perform SDS-PAGE analysis to confirm the protein's molecular weight and purity (>90% purity is recommended for most applications)
Conduct Western blotting using anti-His tag antibodies to verify expression
Employ circular dichroism (CD) to assess secondary structure composition
Use dynamic light scattering to evaluate protein homogeneity
When working with membrane proteins like YPA_1127, it's crucial to maintain appropriate detergent concentrations throughout the analysis process to prevent protein aggregation. Experimental design should include appropriate controls to account for the effects of detergents on analytical techniques .
The recombinant YPA_1127 protein is typically expressed in E. coli with an N-terminal His tag . For optimal expression, consider the following methodology:
Select an appropriate E. coli strain (BL21(DE3) is commonly used for membrane proteins)
Use a vector with a strong promoter (T7 or tac) and codon optimization for E. coli
Culture conditions: LB media supplemented with appropriate antibiotics
Induction parameters: 0.5-1.0 mM IPTG at OD600 of 0.6-0.8
Post-induction cultivation: 16-18°C for 16-20 hours to allow proper folding
Membrane proteins often present expression challenges due to hydrophobicity and potential toxicity to host cells . Low-temperature induction and the addition of membrane-stabilizing compounds (such as 5% glycerol) to the culture medium can improve expression yields. Expression levels should be monitored via small-scale test expressions before scaling up.
For advanced purification of YPA_1127, implement a multi-step chromatography approach:
Initial capture: Ni-NTA affinity chromatography using the N-terminal His tag
Intermediate purification: Size exclusion chromatography
Use Superdex 200 column equilibrated with buffer containing 0.05% detergent
Monitor peak fractions for protein purity and oligomeric state
Polishing: Ion exchange chromatography (if necessary)
Select appropriate resin based on theoretical pI of YPA_1127
For advanced applications requiring exceptionally pure protein, consider implementing additional techniques such as hydroxyapatite chromatography or affinity tag removal followed by reverse affinity purification. The purity should be >90% as determined by SDS-PAGE for most applications .
To analyze membrane topology of YPA_1127, employ a combination of computational prediction and experimental validation:
Computational prediction:
Use membrane protein topology prediction algorithms (TMHMM, Phobius, TOPCONS)
Apply hydropathy plot analysis (Kyte-Doolittle) to identify transmembrane segments
Experimental validation:
Cysteine scanning mutagenesis with membrane-impermeable labeling reagents
Protease protection assays with reconstituted proteoliposomes
Site-directed fluorescence labeling combined with quenching studies
Advanced structural techniques:
Hydrogen-deuterium exchange mass spectrometry (HDX-MS)
Electron paramagnetic resonance (EPR) spectroscopy with site-directed spin labeling
When designing experiments, consider using a data.table structure in R to efficiently organize and analyze topology mapping data . This approach allows for rapid comparison between computational predictions and experimental results.
To identify binding partners or substrates, employ the following methodological approaches:
Pull-down assays:
Use His-tagged YPA_1127 immobilized on Ni-NTA resin
Incubate with Y. pestis lysate or subcellular fractions
Analyze co-precipitating proteins by mass spectrometry
Crosslinking studies:
Apply membrane-permeable crosslinkers of various spacer lengths
Identify crosslinked complexes via Western blotting and mass spectrometry
Lipidomic analysis:
Evaluate lipid binding preferences using liposome flotation assays
Perform thin-layer chromatography with bound lipids extracted from purified protein
Functional reconstitution:
Incorporate YPA_1127 into proteoliposomes with potential substrates
Monitor transport or enzymatic activity under various conditions
For data analysis, implement appropriate statistical methods to distinguish specific interactions from background. Consider using membrane extracts from Y. pestis cultured under different conditions to identify condition-specific interactions.
When designing experiments to study YPA_1127 function, include these essential controls:
Negative controls:
Empty vector-transformed E. coli processed identically to YPA_1127-expressing cells
Irrelevant membrane protein of similar size with the same tag
Heat-denatured YPA_1127 to control for non-specific effects
Positive controls:
Well-characterized membrane protein from the same family
Native YPA_1127 isolated from Y. pestis (if feasible)
Technical controls:
Detergent-only samples to account for detergent effects
Tag-only protein to distinguish tag-related artifacts
A robust experimental design requires significant planning to ensure control over the testing environment, sound experimental treatments, and proper assignment of subjects to treatment groups . Without proper planning, unexpected external variables can alter experimental outcomes.
To investigate YPA_1127's role in pathogenesis, implement a multi-faceted experimental design:
Gene knockout/knockdown approaches:
Generate YPA_1127 deletion mutants in Y. pestis
Create complemented strains expressing wild-type or mutant YPA_1127
Perform in vitro and in vivo virulence assays comparing wild-type, mutant, and complemented strains
Protein-protein interaction studies:
Apply bacterial two-hybrid systems
Conduct co-immunoprecipitation with host cell lysates
Perform proximity labeling in infected cells
Host response analysis:
Compare host cell transcriptomes upon infection with wild-type vs. YPA_1127 mutant
Evaluate changes in host cell membrane properties and signaling pathways
Structure-function relationship studies:
Generate point mutations in conserved residues
Create chimeric proteins with homologs from less virulent species
Follow the principles of true experimental design by including randomization, proper controls, and blinding where appropriate . The experimental design should provide unbiased estimates of inputs and enable the detection of differences caused by independent variables.
For advanced functional characterization, reconstitute YPA_1127 using these methodologies:
Nanodiscs preparation:
Select appropriate membrane scaffold proteins (MSPs)
Optimize lipid composition based on Y. pestis membrane composition
Use a gradual detergent removal approach via dialysis or adsorption
Proteoliposome reconstitution:
Optimize protein-to-lipid ratios (typically 1:100 to 1:1000 by weight)
Control liposome size using extrusion through defined pore-size membranes
Verify protein orientation using protease protection assays
Advanced reconstitution systems:
Polymer-supported bilayers for surface-sensitive techniques
Droplet interface bilayers for electrical measurements
Microfluidic systems for high-throughput functional assays
These reconstitution methods provide controlled environments for studying membrane protein function while maintaining native-like lipid surroundings. For optimal results, characterized reconstituted systems using multiple techniques (electron microscopy, dynamic light scattering, fluorescence microscopy) to ensure homogeneity and proper protein incorporation.
To study conformational dynamics of YPA_1127, consider these advanced biophysical approaches:
Single-molecule FRET:
Introduce fluorophore pairs at strategic positions
Monitor distance changes under various conditions
Analyze conformational populations and transition kinetics
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Compare deuterium uptake patterns under different conditions
Identify regions undergoing conformational changes
Develop mathematical models of protein dynamics using HDX data
Molecular dynamics simulations:
Build atomistic models based on homology or predicted structures
Simulate protein behavior in membrane environments
Identify potential conformational states and transition pathways
Cryo-electron microscopy:
Capture YPA_1127 in different functional states
Determine high-resolution structures of each state
Map conformational changes to functional mechanisms
When implementing these techniques, use appropriate data analysis frameworks like data.table in R to manage complex datasets and extract meaningful patterns . Integrate results from multiple approaches to build comprehensive models of YPA_1127 conformational dynamics.
For optimal storage of purified YPA_1127, follow these methodological guidelines:
Short-term storage (1-2 weeks):
Store at 4°C in purification buffer containing 0.02-0.05% detergent
Add protease inhibitors to prevent degradation
Maintain protein at concentrations below aggregation threshold (typically 1-5 mg/mL)
Long-term storage:
Quality monitoring:
Perform regular SDS-PAGE analysis to check for degradation
Use dynamic light scattering to monitor aggregation state
Verify activity using appropriate functional assays
Repeated freeze-thaw cycles should be avoided as they can lead to protein aggregation and loss of function . For aliquots in active use, store at 4°C for up to one week.
To ensure consistent quality of YPA_1127 preparations, implement these quality control procedures:
Purity assessment:
Functional validation:
Binding assays with known ligands or interacting partners
Activity assays based on predicted function
Circular dichroism to confirm proper secondary structure
Stability testing:
Thermal shift assays to determine melting temperature
Time-course stability at various temperatures
Detergent screening to identify optimal stabilizing conditions
Batch consistency:
Establish reference standards for each quality parameter
Implement statistical process control to monitor batch-to-batch variation
Document preparation conditions thoroughly for reproducibility
Maintain detailed records of each preparation using standardized protocols and quality metrics. This approach ensures that experimental results remain comparable across different studies and research groups.