Recombinant MPN_313 is typically produced in Escherichia coli with the following specifications:
The protein exhibits moderate stability under specific conditions:
While its biological role remains unknown, recombinant MPN_313 is utilized in:
Antibody production: Serves as an immunogen due to its bacterial origin .
Protein interaction studies: Potential use in identifying binding partners .
Diagnostic development: Candidate for detecting M. pneumoniae infections .
MPN_313 shares limited homology with M. genitalium’s MG220, but differences include:
No peer-reviewed studies elucidate MPN_313’s role in M. pneumoniae pathogenicity. Recommended research avenues:
Structural analysis: X-ray crystallography or cryo-EM to identify folding patterns.
Knockout studies: Assess phenotypic changes in M. pneumoniae lacking MPN_313.
Host-pathogen assays: Test interactions with human respiratory cells.
KEGG: mpn:MPN313
Mycoplasma pneumoniae (MP) is recognized as the smallest prokaryotic microorganism capable of independent survival without a host cell, and serves as the leading etiological agent responsible for pediatric community-acquired pneumonia (CAP) . MPN_313, an uncharacterized protein homologous to MG220, represents one of the many proteins in the MP proteome that remains insufficiently characterized despite potential functional significance. The protein's homology to MG220 suggests possible structural or functional conservation across Mycoplasma species, making it a valuable target for comparative genomic studies and potential diagnostic or therapeutic applications .
Methodological approach: Researchers investigating MPN_313 should begin with bioinformatic analysis, including sequence alignment with known proteins, structural prediction models, and phylogenetic analyses to establish evolutionary relationships with other mycoplasmal proteins. This foundation informs subsequent experimental design for functional characterization.
The shelf life of recombinant MPN_313 protein depends on multiple factors including storage state, buffer composition, temperature, and the intrinsic stability of the protein itself. For liquid formulations, a shelf life of approximately 6 months can be expected when stored at -20°C/-80°C, while lyophilized preparations typically maintain stability for 12 months at the same temperature range .
Methodological guidance:
Upon receipt, briefly centrifuge the protein vial to ensure contents are collected at the bottom
Reconstitute lyophilized protein in deionized sterile water to achieve a concentration of 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% (optimally 50%) to enhance stability during freeze-thaw cycles
Aliquot the reconstituted protein to minimize freeze-thaw cycles
For short-term use, working aliquots can be maintained at 4°C for up to one week
Avoid repeated freezing and thawing cycles as they significantly compromise protein integrity
Recombinant MPN_313 protein is commonly expressed in heterologous systems, with E. coli being the predominant expression host . The expression system selection impacts post-translational modifications, solubility, and biological activity of the recombinant protein.
Methodological protocol:
Cloning the MPN_313 gene into an appropriate expression vector with an affinity tag (commonly His-tag)
Transformation into a suitable E. coli strain optimized for protein expression
Culture under controlled conditions with appropriate induction parameters
Cell lysis using methods that preserve protein structure and activity
Affinity chromatography purification using the incorporated tag
Secondary purification steps if higher purity is required (ion exchange, size exclusion)
Quality control assessment including SDS-PAGE (expected purity >85%) and Western blot analysis
Functional validation through appropriate activity assays
Understanding the interaction partners of MPN_313 is crucial for elucidating its biological function within the Mycoplasma pneumoniae proteome. Multiple complementary techniques should be employed to validate observed interactions.
Methodological framework:
In silico prediction: Use computational tools to predict potential interaction partners based on:
Structural homology models
Co-expression data analysis
Genome context methods
Domain interaction databases
In vitro validation techniques:
Pull-down assays using tagged recombinant MPN_313
Surface plasmon resonance (SPR) for quantitative binding kinetics
Isothermal titration calorimetry (ITC) for thermodynamic parameters
Microscale thermophoresis (MST) for interaction studies in complex matrices
In vivo approaches:
Bacterial two-hybrid systems adapted for mycoplasmal proteins
Co-immunoprecipitation from Mycoplasma pneumoniae cultures
Proximity labeling techniques (BioID or APEX) in heterologous systems
| Technique | Advantages | Limitations | Data Parameters |
|---|---|---|---|
| Pull-down assays | Direct physical evidence | Potential for non-specific binding | Qualitative identification of binding partners |
| SPR | Real-time kinetics, label-free | Requires protein immobilization | ka, kd, KD values |
| ITC | Solution-based, provides ΔH, ΔS | High protein consumption | ΔG, ΔH, ΔS, stoichiometry |
| Co-IP | Captures interactions in native context | Limited by antibody quality | Qualitative interaction evidence |
Structural characterization of MPN_313 is essential for understanding its function and developing structure-based hypotheses for experimental validation.
Methodological approach:
Primary structure analysis:
Mass spectrometry for accurate molecular weight determination
Peptide mapping for sequence confirmation
Post-translational modification identification
Secondary structure determination:
Circular dichroism (CD) spectroscopy to estimate α-helix, β-sheet, and random coil content
Fourier-transform infrared spectroscopy (FTIR) as a complementary technique
Tertiary structure elucidation:
X-ray crystallography (requiring successful crystallization)
Nuclear magnetic resonance (NMR) spectroscopy (for proteins <30 kDa)
Cryo-electron microscopy (especially for larger complexes)
Small-angle X-ray scattering (SAXS) for solution-state conformational information
Computational structure prediction:
Homology modeling based on related proteins with known structures
Ab initio modeling for regions without identifiable homologs
Molecular dynamics simulations to evaluate structural stability and flexibility
Given the significant role of Mycoplasma pneumoniae in respiratory infections, understanding the immunogenic potential of MPN_313 may provide insights into pathogenesis and potential diagnostic or vaccine applications.
Methodological framework:
Epitope prediction and analysis:
In silico prediction of B-cell and T-cell epitopes
Synthesis of predicted epitope peptides for experimental validation
Serum reactivity studies:
ELISA assays using recombinant MPN_313 with sera from:
Patients with confirmed M. pneumoniae infection
Healthy controls
Patients with other respiratory infections (to evaluate cross-reactivity)
Western blot analysis to confirm specific binding
Cellular immune response assessment:
Peripheral blood mononuclear cell (PBMC) stimulation with recombinant MPN_313
Measurement of cytokine profiles (ELISPOT, flow cytometry)
T-cell proliferation assays
Animal immunization studies:
Evaluation of antibody titers following immunization with recombinant MPN_313
Assessment of protective efficacy in appropriate animal models
Analysis of cellular immune responses in immunized animals
While MPN_313 remains functionally uncharacterized, investigating its potential role in pathogenesis is crucial for understanding Mycoplasma pneumoniae infections, which represent a significant proportion of community-acquired pneumonia cases globally .
Methodological approach:
Gene expression analysis:
qRT-PCR to quantify MPN_313 expression during different growth phases
RNA-seq to place MPN_313 in the context of global gene expression patterns
Expression analysis during infection of respiratory epithelial cell lines
Knockout/knockdown studies:
Generation of MPN_313 deletion mutants (challenging in Mycoplasma)
CRISPR interference approaches for conditional knockdown
Phenotypic characterization of mutants:
Growth kinetics in axenic culture
Adherence to respiratory epithelial cells
Cytotoxicity assays
Biofilm formation capacity
Localization studies:
Immunofluorescence microscopy using anti-MPN_313 antibodies
Subcellular fractionation and Western blot analysis
Surface accessibility assays (protease shaving, biotinylation)
Host response studies:
Transcriptomic and proteomic analysis of host cells exposed to purified MPN_313
Cytokine/chemokine profiling of treated cells
Signaling pathway activation investigation
The Mycoplasma pneumoniae genome encodes multiple uncharacterized proteins with potential functional redundancy or complementarity, making the specific attribution of biological functions challenging.
Methodological solutions:
Comparative genomics approach:
Phylogenetic profiling across Mycoplasma species
Synteny analysis to identify conserved genomic neighborhoods
Identification of co-evolving protein families
Systems biology integration:
Correlation of expression patterns with other proteins
Protein-protein interaction network analysis
Metabolic pathway mapping and flux analysis
Domain-specific functional analysis:
Identification and characterization of functional domains
Site-directed mutagenesis of predicted active sites
Chimeric protein construction to isolate domain functions
Specific activity assays:
Development of biochemical assays based on predicted functions
In vitro reconstruction of potential pathways
Complementation studies in heterologous systems
Inconsistent or contradictory findings are common in the characterization of proteins with unknown functions, necessitating rigorous approaches to resolve discrepancies.
Methodological framework for resolving contradictions:
Standardization of experimental systems:
Establish consensus protocols for protein expression and purification
Define reference strains and culture conditions
Create standardized activity assays
Multi-laboratory validation studies:
Independent replication of key findings
Round-robin testing of critical methods
Meta-analysis of published data
Integration of multiple data types:
Triangulation using orthogonal experimental approaches
Correlation of in vitro, in vivo, and in silico findings
Development of predictive models that account for experimental variables
Context-dependent function analysis:
Evaluation of protein function under varying conditions:
Different growth phases
Environmental stress conditions
Host cell interaction scenarios
Investigation of potential post-translational modifications affecting function
Accurate and rapid diagnosis of Mycoplasma pneumoniae infections remains challenging, with current methodologies including culture, serological tests, and nucleic acid amplification techniques each having limitations . MPN_313, if sufficiently specific to M. pneumoniae, could potentially serve as a novel biomarker.
Methodological development path:
Specificity assessment:
Comparative analysis against homologous proteins in related species
Cross-reactivity testing with antibodies against related organisms
In silico and experimental determination of unique epitopes
Diagnostic assay development:
ELISA-based detection of antibodies against MPN_313 in patient sera
Lateral flow immunoassay development for point-of-care testing
PCR primer/probe design for specific detection of the MPN_313 gene
Clinical validation studies:
Sensitivity and specificity determination using confirmed positive and negative samples
Comparative analysis against current diagnostic gold standards
Establishment of appropriate diagnostic cutoff values
Implementation considerations:
Stability testing under various storage and handling conditions
Reproducibility assessment across different laboratory settings
Cost-effectiveness analysis compared to existing methods
Macrolide resistance in Mycoplasma pneumoniae has become increasingly prevalent, particularly in East Asian countries where resistance rates exceed 70% . While mutations in the 23S rRNA are the primary mechanism of resistance, accessory proteins might modulate susceptibility or resistance levels.
Methodological investigation approach:
Expression correlation analysis:
Compare MPN_313 expression levels between macrolide-resistant and susceptible strains
Analyze expression changes in response to macrolide exposure
Evaluate potential co-regulation with known resistance determinants
Structural interaction studies:
Investigate potential direct interactions between MPN_313 and ribosomal components
Assess binding to macrolide antibiotics using biophysical methods
Model structural changes that might affect antibiotic access or efficacy
Genetic association studies:
Sequence MPN_313 in clinical isolates with varying resistance profiles
Correlate sequence variations with resistance phenotypes
Evaluate impact of genetic variability on protein function
Functional validation:
Overexpression and knockout studies to assess impact on macrolide sensitivity
Heterologous expression in susceptible organisms to test transferability of resistance
Combinatorial studies with known resistance mechanisms
| Resistance Mechanism | Associated Mutations | Prevalence | MPN_313 Potential Interaction |
|---|---|---|---|
| 23S rRNA modification | A2063G, A2064G | High (>70% in East Asia) | Potential stabilization of mutated rRNA structure |
| L4/L22 ribosomal protein alterations | Various | Low | Possible co-evolution with MPN_313 variants |
| Efflux mechanisms | Unknown | Under investigation | MPN_313 might affect membrane protein function |
Structural studies often require highly pure, homogeneous, and stable protein preparations. Optimizing expression and purification of recombinant MPN_313 is essential for successful structural characterization.
Methodological optimization strategy:
Expression system selection:
Comparative evaluation of E. coli, yeast, baculovirus, and mammalian expression systems
Assessment of codon optimization strategies for improved expression
Testing of different fusion tags (His, GST, MBP, SUMO) for enhanced solubility
Solubility enhancement approaches:
Co-expression with molecular chaperones
Expression at reduced temperatures (15-25°C)
Screening of expression media compositions
Fusion with solubility-enhancing domains
Purification optimization:
Development of multi-step purification protocols
Buffer optimization using thermal shift assays
Addition of stabilizing additives (glycerol, reducing agents, specific ions)
Limited proteolysis to identify stable domains
Quality control metrics:
Dynamic light scattering to assess homogeneity
Size-exclusion chromatography with multi-angle light scattering (SEC-MALS)
Differential scanning fluorimetry for stability assessment
Mass spectrometry to confirm integrity and modifications
The integration of multiple omics technologies provides a comprehensive framework for elucidating the function of uncharacterized proteins like MPN_313 in the context of global cellular processes.
Methodological integration framework:
Multi-omics data collection:
Genomics: Comparative analysis across strains and species
Transcriptomics: RNA-seq under various conditions
Proteomics: Global protein expression and post-translational modifications
Interactomics: Protein-protein interaction networks
Metabolomics: Metabolic changes associated with MPN_313 perturbation
Integrative analysis approaches:
Correlation network analysis across different data types
Pathway enrichment analysis incorporating multiple omics layers
Machine learning algorithms for feature selection and pattern recognition
Bayesian network modeling to infer causal relationships
Functional validation of predictions:
Targeted experimental testing of high-confidence predictions
Development of reporter systems to monitor predicted pathways
Perturbation studies to validate model predictions
Knowledge base development:
Creation of searchable databases integrating multi-omics data
Development of visualization tools for complex data relationships
Implementation of predictive models for hypothesis generation
Technological advancements continue to expand the toolkit available for protein characterization, offering new opportunities to elucidate the function of uncharacterized proteins like MPN_313.
Methodological frontier approaches:
Cryo-electron microscopy advances:
Single-particle analysis for structure determination
Cryo-electron tomography for in situ visualization
Microcrystal electron diffraction for challenging crystals
Protein engineering approaches:
Directed evolution to select for specific functions
Activity-based protein profiling
Chemoenzymatic labeling for functional detection
Single-molecule techniques:
FRET-based conformational analysis
Optical tweezers for mechanical property assessment
Nanopore analysis for interaction studies
AI and computational advances:
AlphaFold2 and related tools for structure prediction
Molecular dynamics simulations with enhanced sampling
Deep learning approaches for function prediction from sequence
Advancing the collective understanding of MPN_313 requires coordinated community efforts and standardized approaches to data generation and sharing.
Methodological community framework:
Data standardization and sharing:
Deposition of structural data in appropriate databases (PDB, BMRB)
Submission of experimental protocols to repositories like Protocols.io
Publication of negative results to prevent duplication of unsuccessful approaches
Collaborative research initiatives:
Establishment of consortia focused on mycoplasmal uncharacterized proteins
Development of shared resources and reagents
Coordinated functional annotation efforts
Knowledge synthesis activities:
Systematic reviews of available data
Development of consensus functional predictions
Creation of integrated functional maps
Educational and training resources:
Workshop organization for standardized methodologies
Development of training materials for new researchers
Mentoring programs to expand the research community
Translating basic research findings on MPN_313 into clinical applications requires careful consideration of regulatory, ethical, and practical aspects.
Methodological translation framework:
Clinical relevance assessment:
Correlation studies with disease severity and outcomes
Evaluation of potential as diagnostic biomarker
Assessment of immunogenic properties for vaccine development
Diagnostic development path:
Analytical validation (sensitivity, specificity, reproducibility)
Clinical validation (patient populations, comparison with standard methods)
Implementation studies (workflow integration, cost-effectiveness)
Therapeutic development considerations:
Target validation through multiple independent approaches
Druggability assessment (presence of binding pockets, structural stability)
Development of high-throughput screening assays for inhibitor discovery
Ethical and regulatory planning:
Early engagement with regulatory authorities
Development of appropriate consent procedures for clinical samples
Consideration of intellectual property implications
Through these carefully structured questions and methodological frameworks, researchers can systematically approach the characterization of the Recombinant Mycoplasma pneumoniae Uncharacterized protein MG220 homolog (MPN_313), advancing our understanding of this protein's role in Mycoplasma biology and potential applications in diagnostics and therapeutics for Mycoplasma pneumoniae infections.