Recombinant Mycoplasma pneumoniae Uncharacterized Protein MPN_534 (MPN_534) is a heterologously expressed protein derived from the mpn534 gene of the human pathogen M. pneumoniae. This protein remains uncharacterized in terms of its precise biological role, but emerging evidence suggests its involvement in cellular processes such as protein secretion and potential regulatory functions. Recombinant production enables structural and functional studies to elucidate its contributions to mycoplasma pathogenicity and survival mechanisms .
| Protein ID | Secretion Confidence | Potential Role |
|---|---|---|
| MPN_534 | High | Unknown |
| CARDS Toxin | High | Cytotoxicity, ADP-ribosylation |
| HapE | Moderate | Nutrient acquisition |
Recombinant MPN_534 is typically expressed in E. coli systems with affinity tags (e.g., His-Tag) for purification, as seen in analogous M. pneumoniae proteins like MPN_527 and MPN_575 . Key steps include:
Cloning: The mpn534 coding sequence is inserted into expression vectors under inducible promoters (e.g., T7 or Tet systems) .
Expression: Optimized in E. coli BL21(DE3) strains under conditions mimicking M. pneumoniae’s reduced metabolic demands .
Purification: Affinity chromatography (Ni-NTA for His-Tag) followed by SDS-PAGE validation (>90% purity) .
| Parameter | MPN_534 (Inferred) | MPN_527 (Reference) |
|---|---|---|
| Host | E. coli | E. coli |
| Tag | His-Tag (N-terminal) | His-Tag (N-terminal) |
| Purity | >90% | >90% |
| Applications | Structural studies | Antigen production |
Critical research priorities include:
Mycoplasma pneumoniae is a common respiratory pathogen that affects both the elderly and children, accounting for 20-30% of all community-acquired pneumonia cases. It has also been associated with other airway pathologies including asthma and various extrapulmonary manifestations . As a member of the Mollicutes class, M. pneumoniae lacks a cell wall and possesses limited metabolic capabilities due to its streamlined genome of approximately 816 kb . Studying its proteins is crucial because:
M. pneumoniae utilizes specific attachment mechanisms to bind to sialylated and sulfated receptors on human target cells and host proteins like fibronectin and surfactant protein A .
Despite genomic sequencing being complete, the functions of many genes and their encoded proteins remain unknown .
Understanding protein function is essential for developing effective preventative and therapeutic strategies against this pathogen, which currently lacks a successfully developed human vaccine .
Uncharacterized proteins in M. pneumoniae represent knowledge gaps in our understanding of this organism's biology. These proteins:
May have sequence information available but lack functional annotation
Could play critical roles in mycoplasma physiology, similarly to identified proteins like ClpB that are essential for proper growth
May respond to environmental stressors, as demonstrated by other M. pneumoniae proteins that are upregulated during heat shock response
Could be involved in virulence mechanisms, host-pathogen interactions, or basic metabolic functions
May possess unique structural features reflecting the organism's streamlined genome and minimalist molecular machinery
While specific information about MPN_534's genomic context is not provided in the search results, genomic context analysis of uncharacterized proteins typically considers:
Gene neighborhood - identification of adjacent genes and potential operon structures
Presence of regulatory elements - such as CIRCE (controlling inverted repeat of chaperone expression) elements that have been identified upstream of heat shock genes in M. pneumoniae
Promoter analysis - examining potential transcription factor binding sites and regulation mechanisms
Comparative genomics - determining if orthologous genes exist in related species and their functional annotations
Gene expression correlation data - identifying genes with similar expression patterns that might be functionally related
This contextual analysis can provide initial clues about MPN_534's potential function and regulatory mechanisms governing its expression.
Based on successful recombinant protein expression methods for other M. pneumoniae proteins, the following protocol framework is recommended:
Vector selection:
Host system options:
Optimization parameters:
Induction temperature: 16-37°C (lower temperatures may increase solubility)
Induction time: 3-24 hours
IPTG concentration: 0.1-1.0 mM (if using IPTG-inducible system)
OD600 at induction: 0.4-0.8
Codon optimization:
Consider codon optimization for the expression host, as Mycoplasma uses a different genetic code (UGA codes for tryptophan rather than STOP)
Synthesize codon-optimized gene to enhance expression levels
The purification strategy should be tailored to the specific properties of MPN_534:
Affinity tags:
His6-tag: Most commonly used, allows purification via immobilized metal affinity chromatography (IMAC)
GST-tag: Enhances solubility while providing affinity purification option
MBP-tag: Particularly useful if solubility is problematic
Purification workflow:
Initial capture: Affinity chromatography based on chosen tag
Intermediate purification: Ion exchange chromatography based on protein pI
Polishing step: Size exclusion chromatography
Tag removal: TEV or PreScission protease cleavage if tag-free protein is required
Buffer optimization:
Typical starting buffer: 50 mM Tris-HCl (pH 8.0), 300 mM NaCl, 10% glycerol
Additives to improve stability: 1-5 mM DTT or TCEP, 1-5 mM MgCl₂, 0.1% Triton X-100
Quality control:
SDS-PAGE for purity assessment
Western blot for identity confirmation
Mass spectrometry for precise molecular weight determination
Dynamic light scattering for homogeneity analysis
For structural prediction of uncharacterized proteins like MPN_534, researchers should consider:
Sequence-based predictions:
AlphaFold2/RoseTTAFold for de novo structure prediction
SWISS-MODEL/I-TASSER for homology modeling if templates exist
Secondary structure prediction using PSIPRED
Disorder prediction using IUPred2A or PONDR
Functional domain identification:
InterPro and PFAM for domain architecture analysis
Conserved Domain Database (CDD) for functional annotation
MOTIF search for identifying known sequence motifs
Analysis pipeline:
Begin with sequence-based analyses to identify potential domains
Proceed to homology modeling if suitable templates exist
If no templates are available, employ de novo prediction methods
Validate predictions through ensemble approaches comparing multiple methods
Structural refinement:
Molecular dynamics simulations (GROMACS, AMBER, NAMD)
Energy minimization to optimize predicted structures
Quality assessment using MolProbity, PROCHECK, or QMEAN
Based on approaches used for other mycoplasma proteins, the following experimental techniques are recommended:
X-ray crystallography:
Initial screening: Commercial screens (Hampton, Molecular Dimensions, Rigaku)
Optimization: Varying precipitant concentration, pH, temperature, protein concentration
Data collection: Synchrotron radiation for optimal resolution
Structure solution: Molecular replacement or experimental phasing methods
Cryo-electron microscopy (cryo-EM):
Particularly valuable for larger protein complexes
Sample preparation: Vitrification on holey carbon grids
Data acquisition: 300 kV microscope with direct electron detector
Processing: Motion correction, CTF estimation, particle picking, 3D reconstruction
NMR spectroscopy:
Suitable for smaller domains (<25 kDa)
Isotopic labeling: ¹⁵N, ¹³C, ²H incorporation during expression
Experiment series: ¹H-¹⁵N HSQC, HNCO, HNCACB, CBCA(CO)NH for backbone assignment
Structure calculation based on distance restraints from NOESY experiments
Integrative approach:
Combining lower-resolution techniques (SAXS, hydrogen-deuterium exchange mass spectrometry)
Validation through complementary methods
Computational refinement of experimental data
For characterizing potential ATPase activity, researchers should consider:
Colorimetric assays:
Malachite green assay to measure phosphate release
Coupled enzyme assays (pyruvate kinase/lactate dehydrogenase) monitoring NADH oxidation
Experimental conditions: Various buffers (pH 6.0-9.0), cation dependencies (Mg²⁺, Mn²⁺, Ca²⁺)
Substrate specificity:
Testing various nucleotides (ATP, GTP, CTP, UTP)
Determining kinetic parameters: Km, Vmax, kcat, kcat/Km
Inhibition studies using ATP analogs
Data analysis and presentation:
| Parameter | ATP | GTP | CTP | UTP |
|---|---|---|---|---|
| Km (μM) | TBD | TBD | TBD | TBD |
| Vmax (μmol/min/mg) | TBD | TBD | TBD | TBD |
| kcat (s⁻¹) | TBD | TBD | TBD | TBD |
| kcat/Km (M⁻¹s⁻¹) | TBD | TBD | TBD | TBD |
Mutational analysis:
Site-directed mutagenesis of predicted catalytic residues
Activity comparison between wild-type and mutant proteins
Correlation of activity with structural features
Similar to the characterized ClpB protein from M. pneumoniae, which demonstrated casein- and lysine-independent ATPase activity , MPN_534 may possess unique characteristics that distinguish it from homologous proteins in other organisms.
To identify and characterize protein-protein interactions, researchers should implement:
In vitro methods:
Pull-down assays using tagged recombinant MPN_534
Surface plasmon resonance (SPR) for binding kinetics determination
Isothermal titration calorimetry (ITC) for thermodynamic parameters
Protein crosslinking followed by mass spectrometry identification
Cell-based methods:
Bacterial two-hybrid systems
Co-immunoprecipitation from M. pneumoniae lysates
Proximity labeling (BioID, APEX) in heterologous expression systems
FRET/BRET for monitoring interactions in living cells
High-throughput screening:
Protein microarrays using the M. pneumoniae proteome
Yeast two-hybrid screens against M. pneumoniae or host protein libraries
Mass spectrometry-based interactome analysis
Bioinformatic predictions:
Structural docking simulations
Co-evolution analysis
Interolog mapping based on known interactions of homologous proteins
Drawing from research on the DnaK-DnaJ-GrpE chaperone system in M. pneumoniae , interactions between MPN_534 and other proteins could provide valuable insights into its biological role and function in cellular processes.
While specific data on MPN_534 is not available, insights can be drawn from heat shock response studies in M. pneumoniae:
Experimental approach:
Culture M. pneumoniae at optimal growth temperature (37°C)
Apply heat shock (42-45°C for 15-30 minutes)
Collect samples at various timepoints (0, 15, 30, 60 minutes)
Extract RNA for RT-qPCR or RNA-seq analysis
Compare expression levels against known heat shock genes (dnaK, clpB, lonA, dnaJ)
Regulatory elements to investigate:
Expected patterns:
Based on other M. pneumoniae heat shock genes, expression patterns typically show:
| Time (min) | Fold Change (37°C → 42°C) | Statistical Significance |
|---|---|---|
| 0 | 1.0 (baseline) | - |
| 15 | TBD | TBD |
| 30 | TBD | TBD |
| 60 | TBD | TBD |
Comparative analysis:
Compare heat shock response of MPN_534 with well-characterized heat shock proteins
Determine if MPN_534 belongs to a specific regulon or stress response pathway
For studying gene knockout effects, researchers should consider:
Gene disruption strategies:
Phenotypic analysis:
Growth curve analysis under various conditions
Stress tolerance evaluation (heat, osmotic, oxidative stress)
Microscopic examination of cellular morphology
Virulence assessment in cell culture infection models
Transcriptomic/proteomic changes:
RNA-seq to identify compensatory gene expression changes
Proteomics to assess global protein abundance alterations
Phosphoproteomics to examine signaling pathway impacts
Complementation studies:
Re-introduction of wild-type MPN_534 to confirm phenotype rescue
Introduction of mutated versions to determine critical functional residues
Similar to the ClpB-null mutant in M. pneumoniae, which demonstrated impaired replication under permissive growth conditions , an MPN_534 knockout might reveal its importance in basic cellular functions or stress responses.
Assessment of MPN_534 as a vaccine candidate would involve:
Antigenicity evaluation:
Epitope prediction using bioinformatic tools
B-cell epitope mapping using peptide arrays
T-cell epitope identification using synthesized peptides and immune cell activation assays
Recombinant vaccine design:
Immunization studies:
Animal model development (typically mouse models)
Dosage optimization and administration route testing
Antibody titer measurement and neutralization assays
Challenge studies to assess protection
Safety and efficacy assessment:
Histopathological examination of immunized tissues
Cytokine profile analysis
Protection rate determination
Comparison with other M. pneumoniae vaccine candidates
The approach would follow similar protocols to those used for P1 and P30 antigens of M. pneumoniae, which have been successfully incorporated into recombinant viral vectors .
To investigate MPN_534's role in pathogenesis:
Host-pathogen interaction studies:
Adhesion assays using human respiratory epithelial cell lines
Invasion/internalization assessment using gentamicin protection assays
Cytotoxicity measurement using LDH release assays
Host immune response characterization (cytokine profiling, inflammasome activation)
Ex vivo and in vivo models:
Human airway epithelium three-dimensional cultures
Mouse infection models to assess colonization and persistence
Histopathological examination of infected tissues
Immune response characterization in animal models
Comparative virulence:
Wild-type vs. MPN_534 mutant strains
Complementation with wild-type and mutant versions
Mixed infection experiments to assess competitive fitness
Molecular mechanisms:
Host protein interaction partners identification
Effects on host cell signaling pathways
Potential enzymatic activities on host substrates
Role in immune evasion or modulation
To address solubility challenges frequently encountered with recombinant proteins:
Expression optimization:
Lower induction temperature (16-20°C)
Reduced inducer concentration
Extended expression period at lower temperatures
Co-expression with chaperones (GroEL/GroES, DnaK/DnaJ/GrpE)
Fusion partners:
Solubility-enhancing tags: MBP, SUMO, TrxA, GST
Evaluation of tag position (N-terminal vs. C-terminal)
Optimization of linker sequences between tag and target protein
Buffer formulation:
Screening of pH ranges (typically 5.5-9.0)
Salt concentration variation (100-500 mM NaCl)
Addition of stabilizing agents:
Glycerol (5-20%)
Arginine (50-500 mM)
Detergents (0.05-0.5% Triton X-100, CHAPS, or NP-40)
Reducing agents (1-10 mM DTT, TCEP, or β-mercaptoethanol)
Structural engineering:
Domain-based expression if full-length protein is problematic
Surface entropy reduction through mutagenesis
Removal of hydrophobic patches causing aggregation
To bridge the gap between in vitro characterization and physiological relevance:
Cellular localization studies:
Immunofluorescence microscopy using specific antibodies
Subcellular fractionation followed by western blotting
Mass spectrometry-based spatial proteomics
Live cell imaging using fluorescent protein fusions
Expression pattern analysis:
Quantification of native expression levels across different growth phases
Response to various physiological stressors (temperature, pH, nutrient limitation)
Expression changes during host cell interaction
Correlation with other functionally related proteins
In vivo confirmation approaches:
Targeted gene disruption and complementation
Point mutations of key residues identified in vitro
Chemical genetic approaches using specific inhibitors
Heterologous expression in related species
Multi-omics integration:
Correlation of transcriptomics, proteomics, and metabolomics data
Network analysis to place MPN_534 in biological pathways
Comparison with global stress responses or infection models
Evolutionary conservation analysis across mycoplasma species
Future research on MPN_534 could leverage:
Cryo-electron tomography:
Visualizing MPN_534 in its native cellular context
Understanding spatial organization and potential complexes
Comparing localization patterns under different conditions
Single-molecule techniques:
FRET to study conformational changes
Optical tweezers to measure mechanical properties
Single-molecule tracking in living cells
Super-resolution microscopy for precise localization
Protein engineering approaches:
Optogenetic control of MPN_534 function
Activity-based protein profiling to identify substrates
Proximity labeling to map local interactome
Split protein complementation for interaction dynamics
Systems biology integration:
Multi-scale modeling from molecular to cellular levels
Machine learning to predict functional partners and networks
High-content screening to identify phenotypic signatures
Synthetic biology approaches for minimal cell construction
Research on MPN_534 could provide insights into:
Evolutionary considerations:
Role in the minimal gene set required for mycoplasma survival
Adaptive functions in the human respiratory niche
Comparison with homologs in related species
Horizontal gene transfer and acquisition of specialized functions
Systems-level understanding:
Contribution to bacterial stress response networks
Integration with existing knowledge of M. pneumoniae physiology
Regulatory connections with known pathways
Potential roles in cellular homeostasis
Host-pathogen interfaces:
Participation in host immune evasion mechanisms
Roles in establishing chronic infections
Contribution to extrapulmonary manifestations
Potential as diagnostic or therapeutic target
Minimal cell concepts:
Insights into proteins required for basic cellular functions
Contribution to defining the minimal essential gene set
Specialized adaptations for the parasitic lifestyle
Engineering applications in synthetic biology