Recombinant Methanocaldococcus jannaschii Uncharacterized Protein MJ0106, also known as MJ0106, is a protein derived from the archaeon Methanocaldococcus jannaschii. This organism is a thermophilic methanogen, which has been extensively studied for its unique metabolic pathways and genetic systems. The MJ0106 protein is expressed in Escherichia coli and is available in a His-tagged form, facilitating its purification and study .
The recombinant MJ0106 protein is a full-length protein consisting of 238 amino acids. It is expressed with an N-terminal His tag, which aids in purification using affinity chromatography. The protein is provided in a lyophilized powder form and has a purity of greater than 90% as determined by SDS-PAGE .
Although detailed information on the specific biochemical functions of MJ0106 is not readily available, proteins from M. jannaschii are known to participate in various metabolic pathways. The organism's unique genetic and metabolic systems offer opportunities for discovering novel enzymatic activities and understanding archaeal biology .
KEGG: mja:MJ_0106
STRING: 243232.MJ_0106
Recombinant MJ0106 protein is typically produced using E. coli expression systems. The full-length protein (amino acids 1-238) is commonly expressed with an N-terminal His-tag to facilitate purification through affinity chromatography . The expression in E. coli provides several advantages for research applications, including:
High yield protein production
Established transformation protocols
Efficient growth conditions
Well-characterized purification methods
Compatibility with molecular biology techniques
After expression, the protein is typically purified to >90% purity as determined by SDS-PAGE and provided as a lyophilized powder for research applications .
For optimal stability and activity of recombinant MJ0106, the following storage and handling conditions are recommended:
| Parameter | Recommendation | Notes |
|---|---|---|
| Storage Temperature | −20°C to −80°C | Aliquoting is necessary for multiple use |
| Storage Form | Lyophilized powder | Initial form as supplied |
| Reconstitution Method | Deionized sterile water | To concentration of 0.1-1.0 mg/mL |
| Buffer Composition | Tris/PBS-based buffer with 6% Trehalose, pH 8.0 | Maintains protein stability |
| Long-term Storage | Add glycerol (5-50% final concentration) | Default recommendation is 50% |
| Working Storage | 4°C | For up to one week |
| Avoid | Repeated freeze-thaw cycles | Compromises protein integrity |
Prior to opening, it is recommended to briefly centrifuge the vial to ensure all contents are collected at the bottom. After reconstitution, proper aliquoting can prevent the need for multiple freeze-thaw cycles that may compromise protein integrity .
When designing experiments with MJ0106, researchers should implement a systematic approach to define and control variables that might influence experimental outcomes. Following principles of robust experimental design, the key variables to consider include:
Independent Variables:
Protein concentration
Buffer composition and pH
Temperature conditions
Incubation time
Presence of potential binding partners
Addition of cofactors or substrates
Dependent Variables:
Protein activity (if assays available)
Binding affinity to potential interactors
Structural changes under different conditions
Expression levels in different systems
Control Variables:
Purity of protein preparation
Storage conditions prior to experimentation
Consistent experimental protocols
Approaching the functional characterization of an uncharacterized protein like MJ0106 requires a multifaceted research strategy:
Sequence-based prediction approach:
Perform sequence homology searches against characterized proteins
Identify conserved domains and motifs using tools like BLAST, Pfam, and InterPro
Utilize protein structure prediction algorithms to generate hypothetical models
Experimental characterization strategy:
Design experiments to test predicted functions based on sequence analysis
Employ a range of biochemical assays to probe potential enzymatic activities
Utilize protein-protein interaction studies to identify binding partners
Consider genetic approaches in model organisms with similar proteins
Structural biology methods:
Circular dichroism (CD) spectroscopy to determine secondary structure elements
X-ray crystallography or NMR for detailed structural information
Cryo-EM for larger complexes if MJ0106 functions as part of a multi-protein assembly
This integrated approach allows researchers to develop and test hypotheses about the function of MJ0106, gradually building an understanding of its biological role through iterative experimentation and analysis .
When working with recombinant MJ0106, incorporating appropriate control experiments is essential for robust data interpretation. The following controls should be considered:
Negative Controls:
Buffer-only conditions (without MJ0106)
Heat-denatured MJ0106 (to control for non-specific effects)
Unrelated protein with similar size/properties (for specificity assessment)
Empty expression vector controls if studying in expression systems
Positive Controls:
Validated interaction partners (if known)
Known protein with similar predicted function (based on homology)
Standard preparations with established activity profiles
Technical Controls:
Serial dilutions of MJ0106 to establish dose-dependency
Time-course experiments to establish kinetic parameters
Multiple biological and technical replicates
Inclusion of internal standards for normalization
These control experiments help distinguish specific effects attributable to MJ0106 from experimental artifacts or non-specific interactions, adhering to the principles of rigorous experimental design .
Identifying interaction partners is crucial for understanding the functional role of uncharacterized proteins like MJ0106. Several complementary approaches can be employed:
In vitro techniques:
Pull-down assays: Using His-tagged MJ0106 as bait to capture interacting proteins from cellular lysates
Surface Plasmon Resonance (SPR): For quantitative measurement of binding kinetics with candidate partners
Isothermal Titration Calorimetry (ITC): To determine thermodynamic parameters of protein-protein interactions
Cross-linking coupled with mass spectrometry: To identify transient or weak interactions
In vivo approaches:
Yeast two-hybrid screening: To identify protein-protein interactions in a cellular context
Co-immunoprecipitation: To validate interactions in relevant cell types
Proximity-based labeling methods: Such as BioID or APEX to identify proximal proteins in the cellular environment
Computational methods:
Protein-protein interaction prediction tools: Based on sequence or structural features
Co-expression analysis: To identify genes with similar expression patterns
Phylogenetic profiling: To identify proteins that co-evolved with MJ0106
The integration of multiple approaches increases confidence in identified interaction partners and provides a more comprehensive understanding of the protein's functional network .
Evaluating potential enzymatic activity of an uncharacterized protein like MJ0106 requires a systematic approach:
Initial activity screening:
Conduct broad substrate screening based on sequence-predicted functions
Test under various buffer conditions (pH range, salt concentrations, cofactors)
Employ activity-based protein profiling with diverse probes
Detailed kinetic characterization:
For identified activities, determine standard enzyme kinetic parameters (Km, Vmax, kcat)
Evaluate substrate specificity profiles
Assess the effects of potential inhibitors
Examine temperature-dependent activity profiles (particularly relevant for proteins from thermophilic organisms like M. jannaschii)
Structure-function relationship studies:
Perform site-directed mutagenesis of predicted catalytic residues
Generate truncation variants to identify functional domains
Compare activity with homologous proteins from other organisms
Advanced analytical techniques:
Utilize mass spectrometry to identify potential modifications or reaction products
Apply NMR spectroscopy to monitor substrate conversion
Consider computational docking studies to predict substrate binding
This methodical approach allows researchers to progressively narrow the range of potential enzymatic functions and characterize specific activities with increasing detail .
Designing structural studies for MJ0106 requires careful planning across multiple experimental platforms:
Sample preparation considerations:
Optimize protein concentration and purity (>95% recommended for structural studies)
Test buffer screening to identify conditions that enhance protein stability
Consider the impact of the His-tag on structure (removal may be necessary)
Evaluate oligomerization state using size exclusion chromatography or analytical ultracentrifugation
Crystallography-specific considerations:
Extensive crystallization condition screening (commercial and custom screens)
Optimization of crystals for diffraction quality
Consideration of heavy atom derivatives for phase determination
Synchrotron access planning for high-resolution data collection
NMR-specific planning:
Isotopic labeling strategy (13C, 15N, or 2H labeling)
Selection of appropriate NMR experiments based on protein size
Sample concentration and stability over extended measurement periods
Cryo-EM approaches:
Sample homogeneity assessment
Appropriate grid preparation protocols
Image processing strategy planning
Computational structural biology:
Template selection for homology modeling
Molecular dynamics simulation parameters
Model validation approaches
Each structural method has distinct advantages and limitations, and researchers may need to attempt multiple approaches to successfully elucidate the structure of MJ0106. Given the thermophilic origin of this protein, special attention should be given to temperature-dependent structural features .
Data analysis for MJ0106 characterization requires rigorous statistical approaches and appropriate controls:
Statistical analysis framework:
Apply appropriate statistical tests based on experimental design
Perform power analysis to determine adequate sample sizes
Use multiple biological and technical replicates
Apply correction methods for multiple comparisons when screening multiple conditions
Data visualization strategies:
Create standardized visualizations for different experiment types
Include error bars representing standard deviation or standard error
Consider dimensional reduction techniques for complex datasets
Present raw data alongside processed results for transparency
Comparative analysis approaches:
Compare MJ0106 data to characterized proteins with similar sequences
Normalize results across different experimental batches
Establish clear criteria for positive results in screening experiments
The analysis should follow systematic procedures as outlined in standard research methodology, with careful attention to data normalization, outlier identification, and appropriate statistical testing .
Interpreting functional data for uncharacterized proteins presents several challenges:
Absence of reference data:
No established activity parameters to benchmark results against
Limited knowledge of physiological relevance of observed activities
Difficulty distinguishing between primary and secondary functions
Experimental artifacts and considerations:
Potential for non-native behavior in recombinant systems
Impact of purification tags on protein function
Absence of natural binding partners or cofactors
Differences between in vitro and in vivo conditions
Methodological approaches to address these challenges:
Employ multiple orthogonal techniques to verify observations
Consider evolutionary context and compare with related organisms
Validate findings in systems approximating native conditions when possible
Develop clear criteria for distinguishing specific from non-specific activities
Interpretative frameworks:
Establish confidence levels for functional assignments
Consider the protein in broader metabolic or signaling pathways
Evaluate consistency with genomic context and co-expression data
These challenges require researchers to employ rigorous controls and multiple methodological approaches to build confidence in functional assignments for uncharacterized proteins like MJ0106 .
When faced with contradictory experimental results during MJ0106 research, a structured approach to resolution is essential:
Systematic evaluation of methodological differences:
Compare experimental conditions between contradictory studies
Evaluate protein preparation methods (expression systems, purification protocols)
Assess differences in buffer compositions, temperature, pH, and other parameters
Consider differences in detection methods and their sensitivity/specificity
Replication strategy:
Design experiments that directly address the contradictions
Include additional controls specific to the conflicting results
Perform side-by-side comparisons using identical reagents and protocols
Consider blind experimental design to eliminate investigator bias
Collaborative resolution approaches:
Engage with other research groups reporting conflicting results
Exchange materials (protein preparations, reagents) to identify source of variation
Conduct inter-laboratory validation studies with standardized protocols
Consider third-party independent replication
Advanced analytical resolution:
Employ higher-resolution or more sensitive techniques
Consider alternative approaches that might clarify the contradictions
Explore whether the contradictions might reflect actual biological variability
This methodical approach helps distinguish true biological variability from experimental artifacts and builds scientific consensus about the properties and functions of MJ0106 .
Research on MJ0106 offers valuable insights into protein adaptations in extremophilic organisms, particularly thermophiles like Methanocaldococcus jannaschii:
Structural adaptations to extreme environments:
Analysis of amino acid composition and distribution patterns compared to mesophilic homologs
Identification of stabilizing features like increased hydrophobic interactions, salt bridges, or disulfide bonds
Characterization of conformational stability across temperature gradients
Functional adaptations:
Biochemical characterization at different temperatures to determine optimal activity ranges
Comparison of catalytic efficiency with homologous proteins from mesophilic organisms
Identification of unique cofactor requirements or substrate preferences
Evolutionary perspectives:
Comparative genomic analysis across archaeal species from different environments
Identification of conserved versus variable regions to determine environmental adaptation signatures
Reconstruction of evolutionary trajectories of protein adaptation
Biotechnological applications:
Assessment of MJ0106 as a potential biocatalyst for high-temperature industrial processes
Identification of stability-enhancing features that could be applied to protein engineering
Exploration of structure-function relationships to guide rational design of thermostable proteins
This research contributes to fundamental understanding of molecular adaptations to extreme environments while potentially informing applications in biotechnology and protein engineering .
Integrating diverse experimental data to understand MJ0106 in its biological context requires multi-omics approaches:
Genomic context analysis:
Examination of gene neighborhood and operonic structure
Identification of co-regulated genes through transcriptomic analysis
Comparative genomics across related archaeal species
Systems biology approaches:
Integration of proteomic data to identify co-expressed proteins
Metabolomic profiling to identify potential substrates or products
Network analysis to position MJ0106 within cellular pathways
Physiological context exploration:
Studies under conditions mimicking the natural habitat of M. jannaschii
Investigation of protein expression under different growth conditions
Correlation of MJ0106 activity with cellular response to environmental changes
Computational integration strategies:
Application of machine learning to integrate heterogeneous datasets
Development of predictive models for protein function based on integrated data
Bayesian network approaches to establish causal relationships
This integrative approach provides a comprehensive understanding of MJ0106's role within the cellular machinery of M. jannaschii and potentially reveals connections to broader biological processes .
Following initial characterization of MJ0106, researchers should consider these strategic next steps:
Functional validation in biological systems:
Develop genetic manipulation systems in M. jannaschii or suitable model organisms
Generate knockout/knockdown models to observe phenotypic effects
Perform complementation studies with mutated versions to confirm specific functions
Detailed mechanistic studies:
Elucidate reaction mechanisms if enzymatic activity is identified
Characterize binding interfaces with identified partners
Determine regulatory mechanisms affecting MJ0106 activity
Translational research directions:
Explore potential biotechnological applications based on identified functions
Investigate whether MJ0106 represents a novel protein family with broader significance
Consider structural features for protein engineering applications
Collaborative expansion strategies:
Establish research consortia for comprehensive characterization
Develop standardized protocols to ensure comparability of results
Create repositories for data sharing and integration
Technical development considerations:
Design specific antibodies or other detection reagents for MJ0106
Develop specialized assays for high-throughput studies
Optimize purification protocols for specific applications
These strategic directions ensure that research on MJ0106 continues to build upon initial characterization in a systematic and productive manner, maximizing the scientific impact of this work .