MJ0292 is a full-length protein (1–93 amino acids) with a molecular weight of approximately 10.2 kDa. Key features include:
MJ0292 is one of 1,682 predicted protein-coding regions in M. jannaschii’s 1.66 Mb chromosome . Despite extensive genomic sequencing, ~33% of its genome, including MJ0292, remains uncharacterized due to limited functional data .
MJ0292 is produced via heterologous expression in E. coli, leveraging plasmid-based systems. Critical parameters include:
| Parameter | Details |
|---|---|
| Expression Buffer | Tris/PBS-based buffer (pH 8.0) |
| Reconstitution | Deionized sterile water (0.1–1.0 mg/mL); 50% glycerol recommended |
| Storage | -20°C/-80°C; avoid repeated freeze-thaw cycles |
The protein’s small size and hydrophobic regions (e.g., Leucine-rich motifs) may complicate solubility and crystallization. No structural data (e.g., X-ray crystallography) are currently available, unlike other M. jannaschii proteins such as MJ0882, a methyltransferase confirmed via AdoMet-binding assays .
MJ0292’s sequence lacks clear homology to known functional domains, but its expression in M. jannaschii suggests roles in:
Metabolic Pathways: Participation in methanogenesis, cofactor biosynthesis, or redox control systems .
Protein Interactions: Potential involvement in chaperone-mediated folding or membrane-associated processes .
Genetic Tagging: Affinity tags (e.g., FLAG, Strep) enable purification and functional validation, as demonstrated for MJ-FprA (a homolog of Mar-FprA) .
Biochemical Assays: Enzymatic activity screens (e.g., methyltransferase, oxidoreductase) could reveal catalytic functions.
Functional Ambiguity: MJ0292 lacks conserved domains, hindering bioinformatics-based predictions.
Experimental Barriers: M. jannaschii’s genetic intractability historically limited in vivo studies, though recent tools (e.g., mevinolin selection, P* promoter systems) now enable gene knockouts and tagged protein expression .
Structural Characterization: Use cryo-EM or crystallography to resolve its 3D structure.
Interaction Mapping: Identify binding partners via tandem affinity purification (TAP) .
Metabolic Integration: Link MJ0292 to pathways in MjCyc (pathway-genome database) .
MJ0882, another uncharacterized M. jannaschii protein, was structurally resolved and biochemically confirmed as an S-adenosylmethionine (AdoMet)-dependent methyltransferase . Key lessons for MJ0292 include:
| Parameter | MJ0882 | MJ0292 |
|---|---|---|
| Structural Fold | α/β Rossmann-like fold | Unknown |
| Cofactor Binding | AdoMet pocket confirmed | Unexplored |
| Functional Validation | Enzymatic activity assays | Not yet performed |
KEGG: mja:MJ_0292
STRING: 243232.MJ_0292
Methanocaldococcus jannaschii is a hyperthermophilic methanogen belonging to the domain Archaea. It holds particular significance in molecular biology as it was the first archaeal organism to have its complete genome sequenced, which provided substantial evidence supporting the three-domain classification of life. M. jannaschii possesses a large circular chromosome (1.66 megabase pairs) with a G+C content of 31.4%, along with two extrachromosomal elements .
As a thermophilic methanogen, M. jannaschii grows optimally at extreme temperatures and produces methane as a metabolic byproduct, utilizing carbon dioxide and hydrogen as primary energy sources . The thermostable nature of its proteins makes them valuable models for understanding protein stability under extreme conditions and potentially useful for biotechnological applications requiring high-temperature processes.
MJ0292 is one of the many open reading frames (ORFs) identified in the M. jannaschii genome through whole-genome random sequencing . As an uncharacterized protein, its precise biological function remains to be fully elucidated. The protein is encoded by a specific ORF within the M. jannaschii genome, which was comprehensively mapped during the initial sequencing project led by researchers at TIGR .
The genomic context of MJ0292 potentially provides clues about its function, as archaeal genomes often organize genes in functional units. Computational prediction methods suggest potential structural domains, but experimental validation is required to confirm these predictions and determine the protein's actual function within the organism's cellular processes.
Understanding the evolutionary context of M. jannaschii provides crucial insights for MJ0292 research. As a member of the Methanocaldococcus genus (previously classified within Methanococcus), M. jannaschii represents a "class I" methanogen with distinct phylogenetic characteristics . This evolutionary positioning is significant when performing comparative genomic analyses of MJ0292.
The archaeal domain's unique evolutionary position, with information processing systems similar to eukaryotes but metabolic pathways more closely related to bacteria, makes proteins like MJ0292 particularly interesting for studying molecular evolution. Comparative analysis with homologous proteins from other domains of life may reveal conserved structural features despite sequence divergence, potentially indicating functional importance maintained throughout evolutionary history.
The selection of an appropriate expression system for recombinant MJ0292 production requires careful consideration of several factors. While bacterial systems like E. coli offer high yield and simplicity, archaeal proteins often present challenges related to codon usage bias, post-translational modifications, and proper folding.
For initial expression screening, consider testing multiple expression systems in parallel:
E. coli-based systems: BL21(DE3) strains with specialized plasmids containing archaeal codon-optimized sequences can improve expression. The addition of chaperones may enhance proper folding .
Yeast expression systems: Particularly Pichia pastoris, which can handle complex folding better than bacterial systems and provides a eukaryotic-like environment that may be more suitable for archaeal proteins .
Cell-free expression systems: These bypass cellular toxicity issues and can be supplemented with archaeal ribosomes and folding factors.
Temperature modulation during expression (often lower than optimal growth temperature) can significantly improve soluble protein yield. For MJ0292 specifically, co-expression with archaeal-specific chaperones may enhance proper folding of this hyperthermophilic protein.
Effective cloning of the MJ0292 gene requires strategic approaches based on the M. jannaschii genome's unique characteristics:
PCR-based isolation: Design primers flanking the MJ0292 ORF based on the genomic sequence information (nucleotide position available in the genome databases). The polymerase chain reaction can be used to amplify and isolate the ORF from M. jannaschii genomic DNA or from a genomic library .
Vector selection: For recombinant expression, vectors containing appropriate regulatory elements are crucial. The vector should contain:
Codon optimization: Due to codon usage differences between M. jannaschii and expression hosts, codon optimization may significantly improve expression. Commercial synthesis of a codon-optimized MJ0292 gene is often more efficient than direct cloning from genomic DNA .
Inclusion of thermostability elements: For functional expression, consider maintaining native elements that contribute to the protein's thermostability, or design constructs with varying N- and C-terminal boundaries to identify optimal expression constructs.
Purification of recombinant MJ0292 presents unique challenges due to its archaeal origin and potentially unusual physicochemical properties. A comprehensive purification strategy includes:
Heat treatment: Exploiting the thermostability of M. jannaschii proteins, an initial heat treatment (65-80°C for 15-30 minutes) can eliminate many host cell proteins while preserving MJ0292 activity.
Affinity chromatography: If expressed with an affinity tag, this provides a powerful first purification step:
His-tagged proteins: IMAC (Immobilized Metal Affinity Chromatography)
GST-fusion proteins: Glutathione-Sepharose chromatography
MBP-fusion proteins: Amylose resin chromatography
Ion exchange chromatography: Based on the theoretical isoelectric point of MJ0292, select appropriate ion exchange media (anion or cation exchangers) for further purification.
Size exclusion chromatography: As a final polishing step, size exclusion separates proteins based on molecular size and can provide information about oligomeric state.
Tag removal considerations: If the fusion tag might interfere with functional studies, incorporate a specific protease cleavage site between the tag and MJ0292. TEV, Factor Xa, or thermostable proteases may be suitable depending on buffer compatibility requirements.
For quality control, analyze purified protein using SDS-PAGE, Western blotting, mass spectrometry, and dynamic light scattering to assess purity, identity, and homogeneity.
A comprehensive structural characterization of MJ0292 requires multiple complementary techniques:
When applying these methods, consider the potential effects of temperature on protein structure, as the native conformation of MJ0292 may differ significantly between ambient and physiological temperatures for M. jannaschii.
In the absence of experimental functional data, computational approaches provide valuable insights into potential functions of uncharacterized proteins like MJ0292:
Sequence-based analyses:
Homology detection using PSI-BLAST, HHpred, or HMMER against diverse databases
Identification of conserved domains using CDD, Pfam, or InterPro
Analysis of conserved sequence motifs potentially associated with specific functions
Structure prediction and analysis:
Ab initio structure prediction using AlphaFold2 or RoseTTAFold
Threading approaches (I-TASSER, Phyre2) to identify structural similarities with proteins of known function
Active site prediction using CASTp, POOL, or similar tools to identify potential binding pockets
Genomic context analysis:
Examination of genomic neighborhood for functionally related genes
Identification of potential operons or gene clusters
Phylogenetic profiling to identify co-evolving genes
Protein-protein interaction prediction:
Docking simulations with potential interaction partners
Co-expression analysis across multiple archaeal species
Analysis of conserved protein interaction interfaces
These computational predictions should guide experimental design rather than being treated as definitive results. For MJ0292, convergent evidence from multiple computational approaches would strengthen functional hypotheses and prioritize experimental validation strategies.
Without specific knowledge of MJ0292's function, a systematic screening approach using diverse assay methods is recommended:
Generic enzymatic activity screens:
Hydrolase activity (esterase, protease, glycosidase) using fluorogenic or chromogenic substrates
Oxidoreductase activity using NAD(P)H or other electron donors/acceptors
Transferase activity using radiolabeled or fluorescently labeled substrates
ATP/GTP binding and hydrolysis assays
Thermostability-focused assays:
Differential scanning calorimetry (DSC) to determine thermal transition points
Activity assays performed at elevated temperatures (60-85°C) to mimic physiological conditions
Thermal shift assays with potential substrates or cofactors to identify stabilizing interactions
Binding assays for potential partners:
Surface plasmon resonance (SPR) or biolayer interferometry (BLI) to assess binding to nucleic acids, metabolites, or other proteins
Isothermal titration calorimetry (ITC) for quantitative binding parameters
Pull-down assays using cell extracts from M. jannaschii to identify interacting partners
When designing these assays, consider the unique physiological context of M. jannaschii, including its methanogenic metabolism, high-temperature environment, and archaeal-specific biochemical pathways .
Genetic manipulation of archaeal systems presents unique challenges, requiring specialized adaptations of CRISPR-Cas9 technology:
Thermostable CRISPR-Cas9 systems: Standard Cas9 from Streptococcus pyogenes functions poorly at extreme temperatures. Instead, consider:
Cas9 variants from thermophilic organisms
Engineered thermostable Cas9 variants
Alternative CRISPR systems native to thermophiles
Delivery methods:
Liposome-mediated transformation adapted for high temperatures
Electroporation with specialized buffers designed for archaeal membranes
Development of conjugation systems if applicable
Guide RNA design considerations:
Higher GC content for stability at elevated temperatures
Chemical modifications to enhance RNA stability
Computational prediction of accessibility in the M. jannaschii genome
Homology-directed repair templates:
Longer homology arms (1-2 kb) than typically used in bacterial systems
Integration of selectable markers suitable for archaeal selection
Codon optimization for archaeal expression
Phenotypic validation strategies:
RT-qPCR to confirm knockout/modification
Western blotting with specific antibodies
Metabolic profiling to detect downstream effects
Growth analysis under various conditions
While challenging, successful genetic manipulation would provide definitive information about MJ0292's role in M. jannaschii cell physiology and potentially reveal interaction partners through complementation studies.
Identifying protein-protein interactions involving MJ0292 requires approaches optimized for archaeal systems:
Pull-down assays and co-immunoprecipitation:
Express tagged MJ0292 (His-tag, FLAG-tag, etc.)
Prepare cell lysates under conditions preserving protein-protein interactions
Capture MJ0292 and associated proteins using affinity resins
Identify partners through mass spectrometry analysis
Crosslinking mass spectrometry (XL-MS):
Utilize thermostable crosslinking reagents
Apply to recombinant systems or directly to M. jannaschii cells
Identify crosslinked peptides through specialized MS/MS analysis
Map interaction interfaces at amino acid resolution
Bacterial/yeast two-hybrid systems:
Adapt traditional two-hybrid approaches for thermophilic proteins
Screen against M. jannaschii genomic libraries
Consider split-protein complementation assays with thermostable reporter proteins
In vitro reconstitution experiments:
Express and purify potential interaction partners identified through computational predictions
Assess complex formation through size exclusion chromatography, analytical ultracentrifugation, or native PAGE
Characterize binding parameters through biophysical methods
Proximity labeling approaches:
Fuse MJ0292 with engineered thermostable ligases (TurboID variants)
Identify proteins in spatial proximity through biotinylation and streptavidin pulldown
Analyze labeled proteins through proteomics approaches
These approaches should be conducted under conditions reflecting the physiological environment of M. jannaschii, including considerations for salt concentration, pH, and temperature.
Understanding thermostability mechanisms in MJ0292 provides insights into both fundamental protein science and potential biotechnological applications:
Comparative sequence analysis:
Align MJ0292 with mesophilic homologs to identify thermostability-associated substitutions
Analyze charged residue distribution and potential salt bridge networks
Examine hydrophobic core composition
Identify potential disulfide bonds or unique stabilizing motifs
Mutagenesis studies:
Design mutations converting thermostability features to mesophilic equivalents
Create chimeric proteins combining domains from thermophilic and mesophilic homologs
Perform alanine scanning of potentially stabilizing residues
Structural analysis of thermostability features:
Analyze B-factor distribution to identify flexible regions
Quantify electrostatic interactions and their contribution to stability
Examine solvent-accessible surface area and hydrophobic packing
Analyze intra-molecular hydrogen bonding networks
Experimental stability measurements:
Thermal denaturation monitored by circular dichroism
Differential scanning calorimetry to determine precise melting temperatures
Chemical denaturation with urea or guanidinium chloride
Limited proteolysis experiments at various temperatures
Molecular dynamics simulations:
Compare behavior at ambient versus elevated temperatures
Analyze protein flexibility and conformational changes
Identify key stabilizing interactions that persist at high temperatures
These approaches can reveal fundamental principles of protein thermostability while potentially identifying features that could be transferred to other proteins for biotechnological applications.
Recombinant expression of archaeal proteins frequently encounters solubility challenges:
Inclusion body formation:
Lower induction temperature (16-25°C) and reduce inducer concentration
Co-express with molecular chaperones (GroEL/ES, DnaK/J)
Use solubility-enhancing fusion partners (SUMO, MBP, TrxA)
Optimize media composition (minimal vs. rich, specific additives)
Test autoinduction systems for slower protein production
Codon usage bias:
Synthesize codon-optimized gene for expression host
Co-transform with plasmids encoding rare tRNAs
Use strains engineered for rare codon expression (e.g., Rosetta)
Protein misfolding:
Express at elevated temperatures (30-37°C) to better mimic thermophilic conditions
Include specific ions or cofactors that might be required for folding
Try refolding from inclusion bodies with specialized buffers mimicking archaeal cytoplasmic conditions
Toxicity to host cells:
Use tightly controlled expression systems with minimal leaky expression
Test cell-free expression systems
Consider archaeal expression hosts if available
Experimental optimization table for MJ0292 expression:
| Parameter | Variables to Test | Monitoring Method |
|---|---|---|
| Temperature | 16°C, 25°C, 30°C, 37°C | Growth curve, SDS-PAGE |
| Inducer | 0.1mM, 0.5mM, 1.0mM IPTG | SDS-PAGE, activity assay |
| Media | LB, TB, M9, Autoinduction | Cell density, protein yield |
| Host strain | BL21(DE3), Rosetta, Arctic Express | Soluble fraction analysis |
| Fusion tag | His, GST, MBP, SUMO | Solubility comparison |
Systematic optimization across these parameters, potentially using a design of experiments (DoE) approach, can dramatically improve soluble protein yield.
Thermophilic proteins present unique purification challenges requiring specialized approaches:
Buffer optimization considerations:
Test buffers mimicking archaeal intracellular conditions
Include stabilizing ions (K+, Mg2+, specific anions)
Evaluate protein stability across pH ranges (typically pH 5-9)
Add compatible osmolytes (trehalose, betaine, glycerol)
Consider detergents for membrane-associated proteins
Temperature-dependent stability issues:
Avoid freeze-thaw cycles that may cause irreversible denaturation
Determine optimal storage temperature (4°C vs. -20°C vs. -80°C)
Test stabilizing additives for long-term storage
Monitor activity retention over time under various conditions
Chromatography considerations:
Perform chromatography steps at elevated temperatures if equipment allows
Use thermostable resins and buffers compatible with higher temperatures
Consider hydrophobic interaction chromatography, particularly effective for thermophilic proteins
Optimize flow rates and binding conditions specifically for thermostable proteins
Refolding strategies if needed:
Pulse refolding with sequential addition of denaturant-free buffer
Temperature-leap methods utilizing the thermostability of the target protein
On-column refolding with immobilized protein
Stability assessment methods:
Develop activity assays that can monitor functional stability over time
Use intrinsic fluorescence to track conformational stability
Implement accelerated stability tests at various temperatures
Careful documentation of stability under different conditions creates a valuable resource for future experiments and reproducibility.
Crystallization of archaeal proteins presents unique challenges due to their unusual amino acid composition and stability requirements:
Crystal screening strategies:
Expand beyond standard commercial screens to include:
Higher salt concentrations (0.5-3M)
Wider pH range (pH 3-10)
Archaeal-specific additives (e.g., polyamines, specific ions)
Test crystallization at elevated temperatures (25-45°C)
Consider lipid cubic phase methods for membrane-associated proteins
Protein construct optimization:
Design multiple constructs with varying N- and C-termini
Remove flexible regions predicted by limited proteolysis or computational methods
Test surface entropy reduction mutations (replacing surface lysine/glutamate patches with alanines)
Consider methylation of surface lysines to alter crystallization properties
Sample preparation considerations:
Ensure high monodispersity through dynamic light scattering
Remove trace detergents or other additives that might interfere with crystallization
Test multiple purification protocols to identify those yielding crystal-quality protein
Consider limited proteolysis to remove flexible regions
Alternative crystallization approaches:
In situ proteolysis during crystallization
Co-crystallization with binding partners or substrate analogs
Fusion with crystallization chaperones (T4 lysozyme, BRIL, etc.)
Crystallization under oil to slow vapor diffusion
Cryoprotection considerations:
Test archaeal-compatible cryoprotectants (high salt, glycerol, sugars)
Optimize cryoprotection protocols to preserve diffraction quality
Consider room-temperature data collection if cryo-protection proves challenging
Each successful crystallization condition should be thoroughly documented to build a knowledge base for future archaeal protein crystallization efforts.