Recombinant Clavibacter michiganensis subsp. michiganensis UPF0060 membrane protein CMM_0279 (CMM_0279) is a protein derived from the bacterium Clavibacter michiganensis subsp. michiganensis, a Gram-positive plant pathogen that infects tomato plants . CMM_0279 is a UPF0060 membrane protein with a length of 112 amino acids .
| Feature | Description |
|---|---|
| Synonyms | CMM_0279; UPF0060 membrane protein CMM_0279 |
| UniProt ID | A5CML5 |
| Species | Clavibacter michiganensis subsp. michiganensis |
| Protein Length | Full Length (1-112aa) |
| AA Sequence | MLLRTVILFALAAVAEIGGAWLVWQAVREGRPWWWAGLGVMALGAYGFIASLQADASFGR ILAAYGGVFVAGSLVWGAVVDGYRPDRWDVIGAVVCLLGVAVIMFGPRGQGA |
| Gene Name | CMM_0279 |
Recombinant CMM_0279 protein is produced in E. coli with an N-terminal His tag . The protein is available as a lyophilized powder with a purity level of greater than 90% as determined by SDS-PAGE .
| Attribute | Description |
|---|---|
| Source | E. coli |
| Tag | His |
| Form | Lyophilized powder |
| Purity | Greater than 90% as determined by SDS-PAGE |
| Storage | Store at -20°C/-80°C upon receipt, aliquoting is necessary for multiple uses. Avoid repeated freeze-thaw cycles. |
| Storage Buffer | Tris/PBS-based buffer, 6% Trehalose, pH 8.0 |
| Reconstitution | Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL. |
CMM_0279 is annotated as a UPF0060 (unknown protein function) membrane protein . Clavibacter michiganensis subsp. michiganensis is known to secrete various proteins, including virulence factors, into its environment . A proteomic study of Clavibacter michiganensis subsp. michiganensis culture supernatants identified thousands of proteins, indicating the bacterium's ability to utilize various compounds and express virulence factors in different media .
Proteins similar to CMM_0279 can be found in other subspecies of Clavibacter michiganensis, such as Clavibacter michiganensis subsp. sepedonicus . An example is the UPF0060 membrane protein CMS0846, sharing the same protein length and similar amino acid sequence with CMM_0279 .
| Feature | CMM_0279 (C. m. michiganensis) | CMS0846 (C. m. sepedonicus) |
|---|---|---|
| UniProt ID | A5CML5 | B0RF30 |
| Protein Length | 112 amino acids | 112 amino acids |
| AA Sequence | MLLRTVILFALAAVAEIGGAWLVWQAVREGRPWWWAGLGVMALGAYGFIASLQADASFGR ILAAYGGVFVAGSLVWGAVVDGYRPDRWDVIGAVVCLLGVAVIMFGPRGQGA | MLLRTVILFALAAVAEIGGAWLIWQAVREGRPFWWAGLGVMALGAYGFIATLQADASFGR ILAAYGGVFVAGSLLWGTVVDGYRPDRWDVIGAVVCLVGVAVIMAAPRGQGA |
KEGG: cmi:CMM_0279
CMM_0279 is a UPF0060 family membrane protein from Clavibacter michiganensis subsp. michiganensis with 112 amino acids. Its complete amino acid sequence is: MLLRTVILFALAAVAEIGGAWLVWQAVREGRPWWWAGLGVMALGAYGFIASLQADASFGRILAAYGGVFVAGSLVWGAVVDGYRPDRWDVIGAVVCLLGVAVIMFGPRGQGA . The protein contains hydrophobic regions characteristic of membrane proteins, with a predicted transmembrane domain structure. Analysis of the primary sequence suggests it belongs to the UPF0060 protein family, a group of uncharacterized membrane proteins conserved across bacterial species. For research applications, developing hydrophobicity plots using Kyte-Doolittle scale analysis can help identify transmembrane regions for targeted functional studies.
Proper storage and reconstitution are critical for maintaining protein functionality. Store lyophilized CMM_0279 protein at -20°C/-80°C upon receipt, with aliquoting recommended for multiple use scenarios to prevent protein degradation from repeated freeze-thaw cycles . For reconstitution:
Briefly centrifuge the vial prior to opening to bring contents to the bottom
Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add 5-50% glycerol (final concentration) before aliquoting for long-term storage at -20°C/-80°C (50% glycerol is standard recommendation)
For working stocks, store aliquots at 4°C for up to one week
This methodology preserves protein integrity while minimizing structural changes that could affect experimental outcomes.
The available recombinant CMM_0279 protein is successfully expressed in E. coli systems with an N-terminal His-tag . For researchers developing their own expression protocols, consider the following methodological approach:
| Expression System | Advantages | Limitations | Optimization Parameters |
|---|---|---|---|
| E. coli (BL21) | Cost-effective, high yield | Potential improper folding of membrane proteins | Lower induction temperature (16-18°C), reduced IPTG concentration |
| E. coli (C41/C43) | Specialized for membrane proteins | Lower yield than standard strains | Extended expression time (24-48 hours) |
| Insect cell systems | Better for eukaryotic-like folding | Higher cost, technical complexity | Optimized MOI, harvest timing |
For membrane proteins like CMM_0279, detergent screening is essential during purification to maintain native conformation. Start with a panel including DDM, LDAO, and OG detergents at concentrations just above their critical micelle concentration.
When designing functional characterization experiments for CMM_0279, researchers should implement quasi-experimental approaches with appropriate controls to establish causality between interventions and outcomes. The untreated control group design with dependent pretest and posttest samples (Design C1 in quasi-experimental hierarchy) provides stronger evidence than simple pre-post testing without controls .
For membrane protein functional studies specifically:
Design reconstitution experiments in proteoliposomes with:
Treatment group: Proteoliposomes with incorporated CMM_0279
Control group: Empty proteoliposomes
Measured variables: Membrane potential, ion flux, or substrate transport
Implement time-series measurements (Design D1) to capture dynamic functional properties:
Multiple measurement points pre-intervention (O₁, O₂, O₃)
Intervention implementation (X)
Multiple measurement points post-intervention (O₄, O₅, O₆)
This approach minimizes threats to internal validity including history effects, maturation, and regression to the mean identified in Table 1 of the literature .
Structure-function analysis of CMM_0279 requires integrated computational and experimental approaches. Based on the 112-amino acid sequence, implement this methodological workflow:
Computational stage:
Perform hydrophobicity analysis to identify transmembrane domains
Generate homology models using related UPF0060 family proteins
Conduct molecular dynamics simulations in a lipid bilayer environment
Experimental validation:
Site-directed mutagenesis targeting conserved residues (particularly those in the sequence: GRPWWWAGLGVMALGAYG)
Circular dichroism spectroscopy to verify secondary structure elements
Crosslinking studies to identify interaction partners
Functional correlation:
Membrane localization assays with fluorescent protein fusions
Electrophysiological measurements if ion transport is suspected
Bacterial phenotype rescue experiments in knockout models
This integrated approach allows researchers to connect structural features to functional properties, providing insights into the protein's biological role.
Investigating protein-protein interactions requires careful experimental design using the following methodological framework:
In vitro approaches:
Pull-down assays using His-tagged CMM_0279 as bait protein
Surface plasmon resonance (SPR) for kinetic interaction measurements
Biolayer interferometry for real-time interaction analysis
In vivo approaches:
Bacterial two-hybrid systems optimized for membrane proteins
Proximity-dependent biotin identification (BioID) for transient interactions
FRET-based interaction assays if fluorescent protein fusions are functional
Design considerations:
Implement C3 quasi-experimental design (switching replications) where possible
Include nonequivalent dependent variables as controls
Account for detergent interference in sample preparation
When interpreting interaction data, researchers should apply multiple testing corrections and validate findings through at least two orthogonal methods to minimize false positives common in membrane protein interaction studies.
Membrane protein purification presents unique challenges. For CMM_0279, implement this troubleshooting workflow:
| Challenge | Potential Cause | Methodological Solution |
|---|---|---|
| Low protein yield | Poor expression | Optimize codon usage; reduce expression temperature to 16°C |
| Inclusion body formation | Protein overexpression | Reduce inducer concentration; use specialized E. coli strains (C41/C43) |
| Protein aggregation | Detergent incompatibility | Screen detergent panel; add glycerol (5-10%) to purification buffers |
| Rapid degradation | Protease activity | Include protease inhibitor cocktail; perform purification at 4°C |
| Poor binding to His-trap column | Tag accessibility issues | Try C-terminal His-tag; increase imidazole concentration in wash buffer |
For storage stability, the recombinant protein should be maintained in Tris/PBS-based buffer with 6% trehalose at pH 8.0 . This formulation has been empirically determined to maximize stability while maintaining conformational integrity.
When analyzing experimental data related to CMM_0279 functional studies, researchers should consider:
For time-series experiments:
Interrupted time series analysis is preferred for multiple measurement points before and after intervention
Consider segmented regression analysis to detect changes in trend
Account for autocorrelation in repeated measurements
For comparative studies:
Mixed effects modeling to handle nested data structures
Analysis of covariance (ANCOVA) when baseline measurements differ between groups
Non-parametric alternatives when normality assumptions are violated
For quasi-experimental designs:
Difference-in-differences approach for untreated control group designs
Propensity score matching to address selection bias in non-randomized studies
Sensitivity analyses to assess robustness of findings
These statistical approaches align with the quasi-experimental design hierarchy discussed in the literature, where higher-level designs (C and D categories) typically provide stronger causal evidence than lower-level designs (A and B categories) .
Investigating CMM_0279's role in Clavibacter michiganensis pathogenicity requires careful experimental design:
Gene knockout/knockdown studies:
Generate CMM_0279 deletion mutants using homologous recombination
Implement CRISPR-Cas9 systems for precise genetic manipulation
Compare wild-type, knockout, and complemented strains in plant infection models
Experimental design considerations:
Implement design C3 (switching replications) with three groups:
Wild-type bacteria
CMM_0279 knockout
Complemented strain (knockout with restored CMM_0279)
Measure multiple dependent variables:
Plant symptom development
Bacterial colonization efficiency
Host defense response markers
Advanced approaches:
Single-cell analysis of bacteria-host interactions
Transcriptome analysis of host response to wild-type vs. mutant bacteria
In planta imaging of fluorescently labeled bacteria to track colonization patterns
This comprehensive approach allows researchers to establish causal relationships between CMM_0279 function and bacterial virulence while controlling for confounding factors.
Structural characterization of membrane proteins like CMM_0279 requires specialized techniques:
When designing structural studies, researchers should plan for adequate protein production (typically >5mg of pure protein) and allocate resources for multiple technique application to generate complementary structural information.
Addressing contradictory data in CMM_0279 research requires systematic methodological approaches:
Identify sources of variation:
Experimental conditions (detergents, pH, temperature)
Protein preparation methods
Measurement techniques and instruments
Design resolution experiments:
Implement C2 quasi-experimental design (double pretest) to establish baseline stability
Use factorial experimental designs to test multiple variables simultaneously
Include positive and negative controls with known outcomes
Statistical approaches:
Meta-analysis of multiple experimental replicates
Bayesian analysis to incorporate prior knowledge
Sensitivity analysis to identify influential data points
Reporting standards:
Document detailed methods according to reproducibility guidelines
Report effect sizes with confidence intervals, not just p-values
Share raw data and analysis code with collaborators
This systematic approach allows researchers to identify whether contradictions arise from methodological differences, true biological variability, or statistical artifacts.
Several cutting-edge technologies offer significant potential for advancing CMM_0279 research:
AlphaFold and structural prediction:
Apply AI-based structural prediction specifically optimized for membrane proteins
Validate predictions with limited experimental data
Guide hypothesis generation for functional sites
Single-molecule techniques:
Implement patch-clamp fluorometry for simultaneous functional and conformational measurements
Apply single-molecule FRET to monitor conformational changes
Develop high-speed atomic force microscopy protocols for membrane proteins
Advanced genetic approaches:
Design CRISPR interference systems for titratable gene expression
Apply multiplexed genome engineering to test multiple variants simultaneously
Implement synthetic biology approaches to reconstitute minimal systems
Systems biology integration:
Multi-omics approaches to place CMM_0279 in broader cellular context
Network analysis to identify functional interactions
Machine learning for pattern recognition in large datasets
These emerging technologies can help overcome current limitations in membrane protein research and provide new insights into CMM_0279 function in bacterial physiology and pathogenicity.