Recombinant Acinetobacter baumannii UPF0060 membrane protein A1S_1909, hereafter referred to as A1S_1909, is a recombinant protein derived from the bacterium Acinetobacter baumannii. This protein is of significant interest in life sciences research due to its role as a membrane protein, which is crucial for various cellular functions, including transport and signaling processes.
The recombinant A1S_1909 protein is expressed in Escherichia coli and is His-tagged for easy purification and detection. It consists of 107 amino acids and is available in a lyophilized powder form. The purity of this protein is greater than 90% as determined by SDS-PAGE, making it suitable for various biochemical and biophysical studies.
A1S_1909 is involved in several pathways, though detailed information on these pathways is not extensively documented. Generally, membrane proteins in bacteria participate in transport, signaling, and structural integrity, which are essential for bacterial survival and interaction with the host environment .
Antibiotic Resistance Studies: Understanding the role of membrane proteins like A1S_1909 can provide insights into how bacteria develop resistance to antibiotics, potentially leading to new therapeutic strategies.
Vaccine Development: Membrane proteins are often targets for vaccine development due to their accessibility on the bacterial surface.
Basic Research: Studying A1S_1909 can contribute to a broader understanding of bacterial membrane biology and pathogenic mechanisms.
KEGG: acb:A1S_1909
The full amino acid sequence of A1S_1909 is: MFGLFIITAIAEILGCYFPYLILKEGKSAWLWLPTALSLAVFVWLLTLHPAASGRIYAAYGGIYIFTALMWLRFVDQVALTRWDILGGVIVLCGAGLIILQPQGLIR . Hydropathy analysis of this sequence reveals multiple hydrophobic regions characteristic of transmembrane domains, suggesting A1S_1909 is an integral membrane protein. The presence of glycine-rich motifs (particularly in positions 84-98) may indicate flexible regions important for membrane insertion or protein-protein interactions.
To analyze the structural characteristics:
Conduct hydrophobicity plotting using Kyte-Doolittle or similar algorithms
Perform secondary structure prediction (PSIPRED, JPred) to identify potential alpha-helical transmembrane segments
Use homology modeling against known UPF0060 family members to generate structural hypotheses
While A1S_1909 is natively expressed in Acinetobacter baumannii, recombinant expression typically employs E. coli systems due to their high yield and ease of genetic manipulation . The most effective experimental approach involves:
Expression vector selection: pET vectors with T7 promoter systems provide high-level, inducible expression
Host strain optimization: BL21(DE3) derivatives, particularly C41(DE3) or C43(DE3), are designed for membrane protein expression
Fusion tag implementation: N-terminal His-tags facilitate purification while minimizing interference with membrane insertion
For challenging membrane proteins like A1S_1909, consider the following experimental design parameters:
| Parameter | Standard Condition | Optimization Strategy |
|---|---|---|
| Induction temperature | 37°C | Lower to 16-25°C to slow expression and improve folding |
| Inducer concentration | 1mM IPTG | Reduce to 0.1-0.5mM to prevent inclusion body formation |
| Growth media | LB | Try TB or auto-induction media for higher cell density |
| Harvest timing | 4-6 hours post-induction | Extend to overnight at lower temperatures |
Quality assessment of recombinant A1S_1909 requires multiple complementary approaches :
Purity assessment: SDS-PAGE analysis should confirm >90% purity with the expected molecular weight (~12 kDa plus tag size)
Identity confirmation: Western blotting using anti-His antibodies or mass spectrometry analysis of tryptic digests
Structural integrity: Circular dichroism spectroscopy to verify secondary structure content (expected high alpha-helical content)
Functional validation: Reconstitution into proteoliposomes to assess membrane insertion capability
Each batch should be documented with:
Concentration determination using both Bradford/BCA assays and A280 measurements
Endotoxin testing if intended for immunological studies
Freeze-thaw stability assessment
A1S_1909 requires specific storage conditions to maintain structural integrity and function :
Long-term storage: Store lyophilized protein at -20°C to -80°C in airtight containers to prevent moisture absorption
Working aliquots: Store reconstituted protein at 4°C for up to one week to minimize freeze-thaw cycles
Buffer composition: Tris/PBS-based buffer supplemented with 6% trehalose at pH 8.0 provides optimal stability
For extended storage periods, implement a cryoprotectant strategy:
Add glycerol to a final concentration of 5-50% (with 50% being optimal for most applications)
Divide into single-use aliquots (typically 50-100 μL) to prevent repeated freeze-thaw cycles
Document stability through activity assays at regular time intervals
Proper reconstitution is critical for membrane protein functionality :
Centrifuge the vial briefly before opening to collect all lyophilized material
Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Allow complete dissolution by gentle rotation (not vortexing) for 10-15 minutes at room temperature
For applications requiring higher concentrations, reconstitute initially at 1 mg/mL and concentrate using appropriate molecular weight cutoff concentrators
For membrane integration studies, consider:
Direct reconstitution into detergent micelles (0.1% DDM or LDAO)
Stepwise dialysis into lipid vesicles composed of E. coli polar lipid extracts
Validation of proper folding using intrinsic tryptophan fluorescence
Investigating membrane topology requires a multi-technique approach :
Proteolytic accessibility mapping:
Reconstitute A1S_1909 into proteoliposomes
Treat with membrane-impermeable proteases (e.g., trypsin)
Analyze protected fragments by mass spectrometry to identify membrane-embedded regions
Cysteine scanning mutagenesis:
Generate single-cysteine variants throughout the protein sequence
Label with membrane-permeable and impermeable thiol-reactive probes
Compare labeling patterns to map membrane-accessible regions
Computational prediction validation:
Generate topology models using algorithms (TMHMM, TOPCONS)
Design experiments to test specific loop regions
Correlate findings with evolutionary conservation patterns
Membrane protein oligomerization analysis requires specialized techniques :
Chemical crosslinking:
Treat purified A1S_1909 with membrane-compatible crosslinkers (DSS, BS3)
Analyze crosslinked products by SDS-PAGE and mass spectrometry
Identify interaction interfaces through crosslink mapping
Analytical ultracentrifugation:
Analyze sedimentation equilibrium patterns in detergent solutions
Calculate molecular weights of protein-detergent complexes
Determine stoichiometry of oligomeric assemblies
FRET analysis:
Generate fluorescently labeled A1S_1909 variants
Measure energy transfer efficiencies between labels
Reconstruct three-dimensional arrangements of subunits
The experimental design should incorporate appropriate controls as outlined in standard protocols :
Negative controls: non-interacting membrane proteins of similar size
Positive controls: known oligomeric membrane proteins
Concentration dependence: test across physiologically relevant concentrations
Protein-protein interaction studies for membrane proteins require specialized approaches :
Bacterial two-hybrid systems:
Adapt membrane-specific two-hybrid methods (BACTH)
Screen against genomic libraries from A. baumannii
Validate interactions using co-immunoprecipitation
Proximity labeling approaches:
Generate A1S_1909 fusions with BioID or APEX2 enzymes
Express in native bacterial environment
Identify proximal proteins through biotinylation and mass spectrometry
Co-purification strategies:
Perform tandem affinity purification with tagged A1S_1909
Analyze co-purifying proteins by mass spectrometry
Confirm specific interactions through reciprocal tagging
Experimental design considerations include :
Detergent selection to maintain native interactions
Controls for non-specific binding
Validation in multiple experimental systems
Investigating physiological functions requires complementary genetic and biochemical approaches:
Gene knockout/knockdown studies:
Generate A1S_1909 deletion mutants in A. baumannii
Perform comprehensive phenotypic profiling:
Growth rates in various media
Membrane permeability assays
Resistance to environmental stressors
Complementation analysis:
Reintroduce wild-type or mutant A1S_1909 into knockout strains
Assess restoration of phenotypes
Correlate structure-function relationships
Metabolomic profiling:
Compare metabolite profiles between wild-type and A1S_1909 mutants
Identify metabolic pathways affected
Generate hypotheses about transport or signaling functions
The experimental design should incorporate :
Multiple independent mutant lines
Growth under various stress conditions
Appropriate statistical analysis of phenotypic data
A systematic approach to investigating antimicrobial resistance connections includes:
Susceptibility testing:
Compare minimum inhibitory concentrations between wild-type and A1S_1909 mutants
Test against diverse antibiotic classes
Analyze time-kill kinetics for mechanistic insights
Membrane permeability assessment:
Measure uptake of fluorescent probes (e.g., NPN, SYTOX Green)
Analyze membrane potential using voltage-sensitive dyes
Correlate changes with antibiotic accumulation
Transcriptomic analysis:
Compare gene expression profiles between wild-type and mutants
Focus on known resistance determinants
Identify regulatory networks potentially involving A1S_1909
Data analysis should include :
Time-course experiments to capture adaptation processes
Dose-response relationships
Integration of multiple data types for comprehensive models
Strategic mutagenesis requires careful experimental design :
Targeting strategy:
Conserved residues within the UPF0060 family
Predicted functional sites (e.g., charged residues in transmembrane regions)
Known motifs for membrane protein folding/assembly
Mutation types:
Conservative substitutions to probe specific interactions
Charge inversions to disrupt electrostatic interactions
Alanine scanning of predicted functional loops
Functional assessment:
Expression and folding analysis
Membrane integration efficiency
Phenotypic complementation in knockout strains
| Residue Position | Conservation | Predicted Location | Suggested Mutations | Functional Hypothesis |
|---|---|---|---|---|
| L8-I12 | High | TM1 | L8A, F9A, I10A, I12A | Membrane anchoring |
| P31-L33 | Moderate | Loop region | P31G, T32A, L33A | Conformational flexibility |
| Y59-Y61 | Very high | TM3 | Y59F, A60G, Y61F | Substrate recognition |
| W78-L81 | High | TM4 | W78F, D79N, I80A, L81A | Oligomerization interface |
Comprehensive evolutionary analysis includes :
Phylogenetic profiling:
Identify A1S_1909 homologs across bacterial species
Correlate presence/absence with specific phenotypes
Analyze gene neighborhood conservation
Coevolution analysis:
Perform multiple sequence alignment of UPF0060 family members
Identify coevolving residue pairs using methods like GREMLIN or EVcouplings
Predict structural contacts and functional interactions
Structural threading and modeling:
Generate structural models using resources like I-TASSER or AlphaFold
Validate predictions with experimental constraints
Identify potential binding sites or functional domains
Analytical considerations include:
Appropriate sequence similarity thresholds
Consideration of horizontal gene transfer events
Integration with experimental validation strategies
Membrane protein structural biology presents specific challenges:
Crystallization strategies:
Screening stabilizing detergents (DDM, LDAO, GDN)
Exploring lipidic cubic phase methods
Testing fusion partners (T4 lysozyme, BRIL) to enhance crystal contacts
Cryo-EM approaches:
Reconstitution into nanodiscs or amphipols
Optimizing particle size through oligomerization
Implementing focused refinement for flexible regions
NMR-based methods:
Uniform or selective isotope labeling strategies
Detergent micelle optimization for solution NMR
Solid-state NMR approaches for reconstituted samples
| Approach | Advantages | Limitations | Sample Requirements |
|---|---|---|---|
| X-ray Crystallography | High resolution | Difficult crystallization | 5-10 mg purified protein |
| Cryo-EM | No crystallization needed | Size limitations | 0.5-3 mg purified protein |
| Solution NMR | Dynamic information | Size limitations | 5-15 mg 15N/13C labeled |
| Solid-state NMR | No size limitation | Lower resolution | 10-20 mg isotope labeled |