KEGG: mge:MG_055
STRING: 243273.MgenG_010200001155
MG055 is a full-length protein (123 amino acids) from Mycoplasma genitalium with UniProt ID P47301. Despite being classified as "uncharacterized," structural analysis suggests potential membrane-associated functions. The complete amino acid sequence is: MEKKLPFSFKKKEKLTAYDDASIHELHKQLKLRTEAKKSKDKERTKEKEKHESLAKEKKPKLPFKKRIVNLWFGVDKEINKIVWVKGRQLIIIFLLILLVSGLMVGIFFGINQLLITLGIFKN .
The recombinant MG055 protein is typically produced with an N-terminal His-tag in E. coli expression systems. Standard preparations yield >90% purity as determined by SDS-PAGE. The protein is supplied as a lyophilized powder in Tris/PBS-based buffer with 6% Trehalose at pH 8.0. Like many mycoplasma membrane proteins, MG055 likely exhibits hydrophobic characteristics due to its predicted transmembrane regions .
For optimal stability, store the protein at -20°C to -80°C upon receipt. Reconstitution should be performed in deionized sterile water to a concentration of 0.1-1.0 mg/mL, with 5-50% glycerol (recommended final concentration: 50%) added for long-term storage. Aliquot to avoid repeated freeze-thaw cycles. Working aliquots can be stored at 4°C for up to one week. Prior to opening, briefly centrifuge the vial to bring contents to the bottom .
Methodological approaches for characterizing proteins like MG055 should follow a multi-omics strategy:
Bioinformatic analysis: Begin with sequence analysis, domain prediction, and homology modeling
Structural characterization: Employ X-ray crystallography, NMR, or cryo-EM techniques
Protein-protein interaction studies: Utilize pull-down assays, co-immunoprecipitation, or yeast two-hybrid screens
Expression profiling: Determine expression patterns under various conditions
Genetic approaches: Consider gene knockout/knockdown to observe phenotypic effects
Similar approaches used for other uncharacterized proteins have revealed crucial functional domains and interaction networks .
For subcellular localization of MG055, employ a combined approach:
Computational prediction: Use tools like PSORTb to predict localization based on sequence characteristics
Fluorescence microscopy: Create GFP fusion constructs to visualize protein localization in cells
Cell fractionation: Perform western blotting on different cellular fractions (membrane, cytoplasm)
Immunoelectron microscopy: For high-resolution localization in bacterial cells
Based on sequence analysis, MG055 contains hydrophobic regions suggesting possible membrane localization, similar to patterns observed in other mycoplasma proteins .
When investigating binding interactions of MG055:
| Control Type | Purpose | Example |
|---|---|---|
| Positive control | Verify assay functionality | Known interacting protein pair |
| Negative control | Establish background signal | Non-specific protein of similar size/properties |
| Tag-only control | Account for tag interference | His-tag peptide alone |
| Buffer control | Eliminate buffer effects | Sample buffer without protein |
| Competitive binding | Confirm specificity | Unlabeled protein competition |
These controls help distinguish true interactions from experimental artifacts, particularly important for uncharacterized proteins where binding partners are unknown .
For domain prediction in proteins like MG055, implement a comprehensive workflow:
Conserved Domain Database (CDD) search: Identify known domain superfamilies
Hidden Markov Model (HMM) analysis: Detect distant homologies using HMMER
Fold recognition: Threading algorithms to identify structural similarities
Molecular dynamics simulations: Predict functional conformations
Binding site prediction: Identify potential active or binding sites
This multi-tool approach has proven effective in characterizing hypothetical proteins from various bacterial species, including mycoplasmas .
To determine membrane topology of MG055:
Transmembrane helix prediction: Use tools like TMHMM, Phobius, or MEMSAT
Hydrophobicity analysis: Plot Kyte-Doolittle hydropathy profiles
Topology validation: Design experiments with reporter fusions at different positions
Consensus approach: Combine multiple prediction algorithms for higher confidence
The amino acid sequence of MG055 suggests potential transmembrane regions with hydrophobic stretches, which correlates with properties of other mycoplasma membrane proteins .
When exploring structural homologies:
Compare MG055 with MgPa (adhesion protein), examining potential functional overlap
Analyze sequence conservation patterns with other membrane proteins in M. genitalium
Search for structural motifs shared with proteins of known function
Investigate evolutionary relationships through phylogenetic analysis
MgPa, a key adhesion protein in M. genitalium, provides context for understanding potential roles of other membrane proteins like MG055 in host-pathogen interactions .
Design a comprehensive experimental approach:
Infection models: Compare wild-type and MG055-knockout M. genitalium strains in cell culture
Adhesion assays: Quantify attachment to host cells with and without recombinant MG055
Cytokine profiling: Measure host immune response to purified MG055
Protein-protein interaction: Identify host receptors that bind MG055
Transcriptomics: Analyze gene expression changes during infection
Similar approaches have revealed that M. genitalium adhesion proteins like MgPa play crucial roles in bacterial attachment and host cell interaction, suggesting potential parallel functions for other membrane proteins .
Select relevant cell models based on infection tropism:
| Cell Type | Relevance | Advantages | Limitations |
|---|---|---|---|
| Human urethral epithelial cells | Primary infection site | Physiological relevance | Limited availability |
| SV-HUC-1 (immortalized uroepithelial) | Common model system | Well-characterized | Transformed phenotype |
| HeLa cells | Alternative model | Easily cultured | May not replicate natural tropism |
| Primary cervical epithelial cells | Female infection site | Clinical relevance | Donor variability |
| Monocyte/macrophage lines | Immune interaction | Study inflammatory response | Not primary target cells |
Cell proliferation assays similar to those used in MgPa studies can assess whether MG055 affects host cell physiology .
Implement multiple complementary approaches:
Phage display: Screen for binding partners using T7 phage-displayed cDNA libraries
Pull-down assays: Use His-tagged MG055 as bait to capture interacting proteins
Yeast two-hybrid screening: Identify binary protein interactions
Mass spectrometry: After crosslinking and immunoprecipitation to identify protein complexes
Surface plasmon resonance: Measure binding kinetics with candidate partners
Similar techniques revealed that MgPa interacts with host cell proteins like RPL35, suggesting potential methodologies for studying MG055 interactions .
Investigate potential roles in resistance:
Examine expression levels of MG055 in antibiotic-resistant versus susceptible strains
Test if MG055 overexpression affects minimum inhibitory concentrations (MICs)
Assess potential efflux pump or membrane permeability functions
Analyze protein modification patterns in response to antibiotic exposure
Compare sequence variations in MG055 across resistant clinical isolates
Understanding membrane protein contributions to antimicrobial resistance is crucial, especially as M. genitalium strains increasingly show resistance to multiple antibiotics .
Address these critical factors:
Antigenicity prediction: Use computational tools to identify potentially immunogenic epitopes
Human proteome comparison: Ensure <35% sequence identity to avoid cross-reactivity
Allergenicity assessment: Screen for potential allergenic epitopes
Adjuvant selection: Test multiple formulations to optimize immune response
T-cell epitope analysis: Identify regions that may stimulate cellular immunity
Similar approaches used in bacterial vaccine development suggest non-homology to human proteins and high antigenicity are critical factors for selecting vaccine candidates .
Employ a systematic approach:
Mass spectrometry: Identify specific modifications (phosphorylation, glycosylation, etc.)
Site-directed mutagenesis: Create variants with modified target residues
Functional assays: Compare wild-type and modified versions
Structural analysis: Determine how modifications affect protein conformation
Temporal analysis: Examine modification patterns under different conditions
Post-translational modifications often regulate protein function and can provide insights into activation mechanisms and regulatory pathways .
Implement a systematic troubleshooting process:
Methodology validation: Verify experimental protocols with positive controls
Technical replication: Repeat experiments to ensure consistency
Biological relevance: Consider strain variability and growth conditions
Integrated analysis: Combine multiple experimental approaches
Statistical rigor: Apply appropriate statistical tests and consider power analysis
When characterizing uncharacterized proteins, contradictory results often emerge from differences in experimental conditions or biological variability .
Implement a multi-step analytical pipeline:
Sequence analysis: Multiple sequence alignment, conservation analysis
Structural prediction: Ab initio modeling and molecular dynamics simulation
Functional annotation: Gene ontology and pathway enrichment
Evolutionary analysis: Phylogenetic tree construction and evolutionary rate calculation
Integrated network analysis: Protein-protein interaction network prediction
This comprehensive approach has successfully characterized hypothetical proteins in multiple bacterial species .
Employ these methodological approaches:
Time-course experiments: Monitor temporal sequence of events
Dose-dependent studies: Establish response curves
Genetic complementation: Restore function with controlled expression
Domain-specific mutations: Target specific functional regions
Direct binding assays: Demonstrate physical interactions
For uncharacterized proteins like MG055, distinguishing direct mechanisms from downstream effects is essential for accurate functional characterization .
Emerging single-cell approaches offer new insights:
Single-cell proteomics: Detect MG055 expression variability in bacterial populations
Live-cell imaging: Visualize protein dynamics during infection
Cell-specific interaction mapping: Identify host cells preferentially targeted
Single-cell transcriptomics: Correlate MG055 presence with gene expression changes
Microfluidic techniques: Study infection dynamics at the single-cell level
These approaches can reveal heterogeneity in protein expression and function that may be masked in population-level studies .
Investigate biofilm contributions through:
Biofilm assays: Compare wild-type and MG055-deficient strains
Confocal microscopy: Visualize MG055 distribution in biofilm architecture
Anti-biofilm strategies: Test if blocking MG055 disrupts biofilm integrity
Co-infection models: Study interaction with other urogenital pathogens
Chronic infection models: Assess MG055 expression in persistent infections
Understanding membrane protein contributions to biofilm formation could explain M. genitalium persistence in chronic infections .
Implement integrative systems approaches:
Network modeling: Place MG055 in protein interaction networks
Multi-omics integration: Combine proteomics, transcriptomics, and metabolomics data
Pathway analysis: Identify biological processes affected by MG055
Comparative genomics: Analyze conservation across mycoplasma species
Machine learning: Predict functional partners based on multi-dimensional data
These approaches can contextualize individual protein functions within broader biological systems, providing a more complete understanding of bacterial pathogenesis mechanisms .