Recombinant AZOSEA37130 is a full-length (202 amino acids) protein expressed in E. coli with an N-terminal His tag for purification . Its UniProt ID (Q5NYM6) and gene locus (AZOSEA37130, ebA6501) confirm its origin from A. aromaticum EbN1, a model organism for anaerobic aromatic compound degradation .
A. aromaticum EbN1 is renowned for anaerobic degradation of aromatic pollutants (e.g., phenol, p-cresol) , but AZOSEA37130’s role in these processes remains uncharacterized. Proteomic studies highlight EbN1’s metabolic flexibility , yet septation proteins like AZOSEA37130 are conspicuously absent from substrate-specific expression profiles .
Recombinant AZOSEA37130 is commercially available for:
Mechanistic Studies: Investigating bacterial cell division in A. aromaticum and related species.
Protein Interaction Assays: ELISA-based kits utilize this protein to probe binding partners .
Structural Biology: Serving as a substrate for crystallography or cryo-EM to resolve 3D architecture.
KEGG: eba:ebA6501
STRING: 76114.ebA6501
The protein is known by several alternative names and identifiers in different databases:
| Identifier Type | Value |
|---|---|
| Gene Name | AZOSEA37130 |
| Protein Name | Probable intracellular septation protein A |
| Synonyms | yciB, ebA6501, Inner membrane-spanning protein YciB |
| UniProt ID | Q5NYM6 |
| Product Code | RFL25745AF (Creative BioMart) |
Researchers should use these identifiers when searching literature databases or ordering recombinant versions of this protein to ensure correct identification .
Hydrophobicity profile analysis indicates multiple transmembrane domains, which can lead to toxicity in host cells
Codon optimization may be necessary when expressing in heterologous systems
Growth temperature modulation (typically lowering to 16-25°C after induction) can improve proper folding
Specialized E. coli strains designed for membrane protein expression (such as C41(DE3) or C43(DE3)) may yield better results
For researchers experiencing difficulty with E. coli expression, alternative eukaryotic systems such as yeast (P. pastoris) or insect cell lines may be considered, particularly if post-translational modifications are suspected to be important for function .
Purification of membrane proteins like AZOSEA37130 presents specific challenges that require careful optimization:
Solubilization protocol:
Use mild detergents (DDM, LDAO, or CHAPSO) at concentrations just above CMC
Include stabilizing agents such as glycerol (10-20%) in buffers
Maintain slightly alkaline pH (7.5-8.0) during extraction
Affinity purification:
For His-tagged constructs, use IMAC with increasing imidazole gradients
Consider using both N- and C-terminal tags to identify full-length protein
To avoid truncated products, increase imidazole concentration during elution
Purify at 4°C to minimize proteolysis
Quality control:
SDS-PAGE analysis under both reducing and non-reducing conditions
Size exclusion chromatography to confirm monodispersity
Circular dichroism to verify secondary structure integrity
When working with the commercial recombinant protein, reconstitution from the lyophilized form should follow manufacturer guidelines, using deionized sterile water to reach 0.1-1.0 mg/mL, with 5-50% glycerol added for storage stability .
For comprehensive membrane topology prediction of AZOSEA37130, researchers should employ multiple computational approaches:
Transmembrane helix prediction algorithms:
TMHMM, HMMTOP, and Phobius provide consensus predictions of transmembrane segments
For AZOSEA37130, predictions typically identify 5-6 transmembrane helices
Hydropathy analysis:
Kyte-Doolittle plots with a window size of 19-21 residues highlight hydrophobic regions
Regions with scores >1.8 typically correspond to transmembrane segments
AI-based structure prediction:
AlphaFold2 and RoseTTAFold can generate three-dimensional models
These models should be validated against experimental data when available
Conserved domain identification:
PFAM and InterPro scans identify the YciB domain common to this protein family
Conserved residues across homologs can indicate functional importance
A combined approach incorporating these methods provides more reliable predictions than any single method. For AZOSEA37130, the predicted topology suggests a multi-pass membrane protein with both N- and C-termini likely positioned in the cytoplasm, consistent with its proposed role in septation .
To experimentally validate the predicted septation function of AZOSEA37130, researchers should consider multiple complementary approaches:
Genetic approaches:
Gene knockout or CRISPR-based deletion in Aromatoleum aromaticum
Complementation studies with wild-type and mutant variants
Microscopy analysis of cell division phenotypes in deletion strains
Localization studies:
Fluorescent protein fusions (ensuring the tag doesn't disrupt function)
Immunogold electron microscopy with specific antibodies
Co-localization with known division proteins (FtsZ, FtsA, etc.)
Interaction analyses:
Bacterial two-hybrid or split-GFP assays to identify binding partners
Co-immunoprecipitation with other septation proteins
Crosslinking studies followed by mass spectrometry
Structural biology:
Cryo-EM of reconstituted protein in nanodiscs or liposomes
Solid-state NMR to determine structural constraints
X-ray crystallography (challenging but possible with lipidic cubic phase)
These approaches should be combined with temporal studies during cell division to determine if AZOSEA37130 is recruited to the septum during specific stages of bacterial cell division .
Developing reliable assays for studying AZOSEA37130 protein-protein interactions requires specialized approaches suitable for membrane proteins:
Membrane-based two-hybrid systems:
BACTH (Bacterial Adenylate Cyclase Two-Hybrid) system specifically designed for membrane proteins
Split-ubiquitin yeast two-hybrid adapted for membrane protein interactions
In vitro reconstitution assays:
Label proteins with different fluorophores to measure FRET upon interaction
Reconstitute proteins in liposomes or nanodiscs to maintain native membrane environment
Surface plasmon resonance with captured His-tagged protein on NTA chips
Proximity labeling approaches:
BioID or TurboID fusions to identify proximal proteins in vivo
APEX2 peroxidase fusions for electron microscopy visualization
Quantitative mass spectrometry to analyze labeled proteins
Biophysical techniques:
Microscale thermophoresis for quantitative binding measurements
Analytical ultracentrifugation with fluorescence detection
Native MS for intact membrane protein complexes
Data validation should include negative controls with mutated binding interfaces and competition assays with unlabeled protein. Detergent selection is critical—use mild detergents like DDM or LMNG at concentrations that maintain the protein in a functional state .
To comprehensively study AZOSEA37130's role in bacterial septation, researchers should implement a multi-faceted experimental strategy:
Time-course microscopy:
Fluorescently tag AZOSEA37130 (ensuring the tag doesn't disrupt function)
Perform time-lapse microscopy during cell division
Co-visualize with FtsZ or membrane dyes to correlate with septum formation
Genetic manipulation studies:
Create depletion strains using inducible promoters to observe phenotypes
Analyze growth rate, cell morphology, and division defects upon depletion
Complement with wild-type and mutant variants to map functional domains
Biochemical characterization:
Assess membrane lipid binding preferences using liposome flotation assays
Test for enzymatic activities (peptidoglycan binding, modification, etc.)
Examine post-translational modifications that might regulate function
High-resolution imaging:
Cryo-electron tomography of dividing cells
Super-resolution microscopy (PALM/STORM) to precisely localize the protein
Correlative light and electron microscopy to connect function with ultrastructure
This comprehensive approach allows researchers to establish both the localization pattern and functional significance of AZOSEA37130 during bacterial cell division cycles .
Protein aggregation is a common challenge when working with membrane proteins like AZOSEA37130. To address this issue:
Expression optimization:
Lower induction temperature (16-20°C) to slow protein production
Reduce inducer concentration to prevent overwhelming the membrane insertion machinery
Co-express with chaperones (GroEL/GroES, DnaK/DnaJ) to aid folding
Buffer optimization:
Screen multiple detergents (DDM, LMNG, LDAO, etc.) at various concentrations
Include stabilizing agents like glycerol (10-20%) or specific lipids (PE, PG)
Test different pH values (typically 7.0-8.5) to find optimal stability
Purification strategies:
Incorporate a size exclusion chromatography step to remove aggregates
Consider adding low concentrations of cholesterol hemisuccinate or specific lipids
Use on-column detergent exchange during affinity purification
Analytical approaches:
Dynamic light scattering to monitor aggregation state
Analytical ultracentrifugation to characterize oligomeric distribution
Thermal shift assays to identify stabilizing conditions
When working with the commercial preparation, researchers should avoid repeated freeze-thaw cycles and follow the recommended reconstitution protocol using deionized sterile water to reach 0.1-1.0 mg/mL concentration with appropriate glycerol supplementation .
Functional studies of membrane proteins like AZOSEA37130 present several challenges that researchers should anticipate and address:
Expression system limitations:
Pitfall: Loss of function in heterologous hosts
Solution: Test multiple expression systems; co-express interaction partners
Fusion tag interference:
Pitfall: Tags disrupting protein localization or function
Solution: Use small tags; create both N- and C-terminal fusions; validate with tag-free protein
Reconstitution challenges:
Pitfall: Improper orientation in artificial membranes
Solution: Verify bidirectional incorporation; use oriented reconstitution techniques
Assay development:
Pitfall: Lack of suitable functional assays for uncharacterized proteins
Solution: Design phenotypic assays based on deletion strains; focus on localization during septation
Protein stability:
Pitfall: Degradation during experimental timeframes
Solution: Add protease inhibitors; optimize buffer conditions; perform time-course stability tests
Redundant functions:
Pitfall: No clear phenotype due to functional redundancy
Solution: Create multiple knockout combinations; overexpress to observe gain-of-function phenotypes
When designing experiments, researchers should include appropriate controls for each potential pitfall and validate any observed effects through multiple independent approaches .
AZOSEA37130 represents an excellent model system for studying fundamental aspects of bacterial membrane protein biogenesis:
Membrane insertion pathways:
Investigate dependence on Sec vs. YidC pathways through depletion studies
Characterize the kinetics of membrane integration using pulse-chase experiments
Identify specific signal sequences or hydrophobic regions required for proper targeting
Folding and quality control:
Analyze involvement of periplasmic chaperones in proper folding
Study degradation pathways for misfolded variants
Examine how lipid composition affects folding efficiency
Evolutionary conservation:
Compare insertion mechanisms across diverse bacterial species
Identify conserved biogenesis factors through phylogenetic analysis
Develop predictive models for insertion efficiency based on sequence features
Methodological advances:
Develop real-time folding assays using split fluorescent proteins
Apply ribosome profiling to measure translation kinetics during membrane insertion
Establish reconstituted systems to study minimal requirements for insertion
This research direction would not only advance understanding of AZOSEA37130 specifically but would contribute to the broader field of membrane protein biology and potentially identify new antibiotic targets that disrupt membrane protein biogenesis .
Research on AZOSEA37130 holds several promising implications for antimicrobial development:
Target validation:
Determine essentiality of AZOSEA37130 and homologs across bacterial species
Characterize phenotypes resulting from protein depletion or inhibition
Identify specific functional domains that could be targeted by inhibitors
Structural insights for drug design:
Resolve high-resolution structures to identify potential binding pockets
Conduct molecular dynamics simulations to identify transient pockets
Perform fragment-based screening against purified protein
Screening approaches:
Develop cell-based assays using reporter fusions to monitor protein function
Create biochemical assays measuring specific activities (if identified)
Design phenotypic screens based on growth defects in depletion strains
Combination therapies:
Identify synergistic effects with established antibiotics
Explore potential for sensitizing bacteria to existing treatments
Investigate species-specific vulnerability to targeting this pathway
The bacterial cell division machinery represents an underexploited target for antibiotic development. As a probable component of this machinery, AZOSEA37130 research could lead to novel antimicrobial strategies, particularly valuable given the unique nature of this protein family and its absence in mammalian cells .