Recombinant Methanocaldococcus jannaschii Uncharacterized protein MJ0835, hereafter referred to as MJ0835, is a protein derived from the hyperthermophilic archaeon Methanocaldococcus jannaschii. This organism is known for its ability to thrive in extreme environments, making its proteins of interest for various biotechnological applications. MJ0835 is an uncharacterized protein, meaning its specific biological functions are not yet fully understood, but it is available in recombinant form for research purposes.
The amino acid sequence of MJ0835 is as follows: MVDTSKIKALKEKSRRTVKSGSLKFILIILVVVIVGLLAFIAYNEISNLQFQEKITLENQ KKAAIESINQMFAKYPNDPQKLIYINKIQMANNIEEINEVLEEAKKYISFKNYKIEAINQ IKSMYGEYYSLSLSAQELVHKISLAQSTEEIENLLKSVDIEKDIRSIIEKQIDYVLASGD KYYYVEINGKSMFMTRDEILKYKKFWTLSELKSLKITPVSQLNKVAIEISAKQCGKLPHK GDIISIYSKDGSFITYGIIDSSYVILSSISYSESKSTSSNINELGESYSSSSSSSISYSL NNLPGILHATVIDRLDYDKIKKMFGEYGKKLNEIEDDTQIFDENVNYFLIISIPDDKIPD IIQIDPKDIVIVIKSKE .
MJ0835 is involved in several biochemical pathways and interacts with various proteins, although its specific functions are not well characterized. It is used in research to study protein-protein interactions and pathways within Methanocaldococcus jannaschii. The recombinant form of MJ0835 facilitates these studies by providing a purified protein for experimental use.
While specific pathways involving MJ0835 are not detailed, proteins from Methanocaldococcus jannaschii often participate in unique metabolic processes due to the organism's extreme environment adaptations. These proteins can offer insights into novel biochemical mechanisms and potential biotechnological applications .
The study of proteins like MJ0835 contributes to understanding the biology of extremophiles, which can lead to discoveries in fields such as bioenergy, bioremediation, and pharmaceuticals. The recombinant form of MJ0835 allows researchers to explore its potential applications in these areas.
KEGG: mja:MJ_0835
STRING: 243232.MJ_0835
MJ0835 is a hypothetical protein from Methanocaldococcus jannaschii, an archaeon with a completely sequenced genome. The M. jannaschii genome consists of a large circular chromosome (1.66 mega base pairs, G+C content of 31.4%), plus a large circular extra-chromosome and a small circular extra-chromosome . The protein is encoded within this genomic context.
To investigate the genomic context of MJ0835, researchers typically analyze:
Nearby genes and potential operonic structure
Conserved sequence regions across related species
Potential regulatory elements in the promoter region
For a complete analysis, whole genome alignments can reveal synteny with related archaeal species, providing evolutionary insights into protein function conservation.
As an uncharacterized protein, computational approaches are crucial first steps for understanding potential functions of MJ0835. Begin with sequence-based analyses including:
Homology searches using BLAST against various databases
Domain and motif identification using Pfam (looking for conserved domains similar to DUF361 or other functional domains identified in M. jannaschii)
Secondary structure prediction
Subcellular localization prediction, especially for archaeal-specific pathways
For M. jannaschii proteins, specialized tools like FlaFind (http://signalfind.org/) can identify potential signal peptides and processing sites . Based on your computational results, construct a table like this to organize predictions:
| Analysis Method | Prediction Result | Confidence Score | Supporting Evidence |
|---|---|---|---|
| BLAST homology | [Results here] | [Score] | [References] |
| Pfam domains | [Domain identified] | [E-value] | [Domain databases] |
| Signal peptide | [Yes/No] | [Score] | [Tool used] |
| Secondary structure | [% alpha, % beta] | [Prediction quality] | [Method used] |
For archaeal proteins like MJ0835, expression system selection requires careful consideration due to potential structural and post-translational differences between archaea and other domains of life. Recommended approaches include:
E. coli expression systems: Start with codon-optimized constructs in BL21(DE3) or Rosetta strains to address codon bias issues. For thermostable proteins from hyperthermophilic M. jannaschii, expression at lower temperatures (16-20°C) may improve folding.
Archaeal expression hosts: Consider expression in related methanococci like M. maripaludis, which has established genetic tools including transformable plasmids derived from pURB500 .
Cell-free systems: For difficult-to-express proteins, cell-free systems based on archaeal extracts may preserve native folding environments.
When designing expression constructs, consider the following parameters:
Investigating protein interactions for an uncharacterized protein like MJ0835 requires multiple complementary approaches:
Archaeal two-hybrid systems: Modify standard Y2H systems to accommodate archaeal proteins, considering temperature and salt requirements.
Co-immunoprecipitation with mass spectrometry: Express tagged MJ0835 in native-like conditions and identify binding partners. For thermophilic proteins, conduct binding assays at elevated temperatures (85°C) to maintain physiological relevance.
Proximity labeling approaches: Adapt BioID or APEX2 systems for archaeal expression, enabling in vivo interaction mapping.
Bioinformatic prediction of functional associations: Utilize genomic neighborhood, gene co-occurrence patterns, and phylogenetic profiling to predict functional associations.
Present interaction data in network visualization formats with quantitative confidence scores:
| Interaction Partner | Detection Method | Interaction Strength | Validation Method | Functional Implication |
|---|---|---|---|---|
| [Protein X] | Co-IP/MS | [Quantitative measure] | Reciprocal pull-down | [Pathway involvement] |
| [Protein Y] | Archaeal two-hybrid | [Reporter activity] | In vitro binding | [Complex formation] |
For archaeal proteins like MJ0835, specific post-translational modifications (PTMs) can be crucial for function, particularly in extremophiles. Several approaches are recommended:
Mass spectrometry analysis: Use high-resolution MS to identify mass shifts indicative of PTMs. For archaeal proteins, focus on:
N-glycosylation (common in archaeal surface and secreted proteins)
Phosphorylation
Methylation
Acetylation
Specific glycan detection: For potential glycoproteins, use periodic acid-Schiff (PAS) staining or glycan-specific lectins.
Comparative analysis with mutants: Express MJ0835 in native systems with and without specific PTM pathway inhibitors or in genetic backgrounds deficient in specific modification enzymes.
Research has shown that archaeal flagellins from related Methanococcus species undergo N-glycosylation, which affects their function . Similar modifications might occur in other surface or secreted proteins.
When analyzing MS data, organize PTM findings in a comprehensive table:
| Modification Type | Modified Residue | Mass Shift (Da) | Abundance (%) | Potential Function |
|---|---|---|---|---|
| [Modification] | [Position, aa] | [Observed mass] | [% modified] | [Functional hypothesis] |
For difficult-to-crystallize archaeal proteins like MJ0835, several alternative approaches can provide structural insights:
Cryo-electron microscopy: Particularly useful for larger proteins or complexes, potentially revealing structural details without crystallization.
NMR spectroscopy: For smaller domains (<30 kDa), can provide atomic-level structural information in solution.
Small-angle X-ray scattering (SAXS): Provides low-resolution shape information in native-like conditions.
Computational structure prediction: AlphaFold2 and RoseTTAFold now provide remarkably accurate predictions, especially valuable for archaeal proteins with limited homology to characterized structures.
Hydrogen-deuterium exchange mass spectrometry (HDX-MS): Maps solvent accessibility and dynamics, providing insights into functional regions.
To correlate structure with function:
Design site-directed mutagenesis based on structural predictions
Perform functional assays on mutant variants
Investigate thermal stability profiles given M. jannaschii's hyperthermophilic nature
A systematic approach to structure-function analysis can be documented as follows:
| Region/Residue | Structural Prediction | Mutation | Functional Impact | Thermal Stability Change |
|---|---|---|---|---|
| [Region A] | [Structural feature] | [Mutation] | [% activity change] | [ΔTm (°C)] |
Determining cellular localization of archaeal proteins requires specialized techniques accounting for the unique cell envelope architecture of archaea:
Computational prediction: Use archaeal-specific localization prediction tools that account for unique signal sequences. For MJ0835, you might use specialized tools like FlaFind that can identify archaeal class III signal peptides .
Fluorescent protein fusions: Express MJ0835-GFP fusions in archaeal hosts, optimizing fluorescent proteins for thermostability if working in the native M. jannaschii.
Fractionation studies: Perform careful subcellular fractionation of archaeal cells, separating:
Cytosolic fraction
Membrane fraction
Cell surface-associated proteins
Secreted fraction
Immunolocalization: Generate antibodies against recombinant MJ0835 and use them for immunogold electron microscopy.
Document localization studies with quantitative assessment:
| Method | Cellular Compartment | Relative Abundance (%) | Controls Used | Confidence Level |
|---|---|---|---|---|
| Fractionation | [Compartment] | [Quantitative measure] | [Marker proteins] | [Statistical measure] |
| Microscopy | [Observed location] | [Signal intensity] | [Known proteins] | [Replicates, p-value] |
For uncharacterized proteins like MJ0835, functional screening approaches can provide crucial insights:
Phenotypic screening of knockout/overexpression strains:
Activity-based protein profiling:
Design activity-based probes targeting potential catalytic residues
Screen for biochemical activities using substrate libraries
Transcriptional response analysis:
Analyze transcriptional changes in knockout/overexpression strains
Identify pathways affected by MJ0835 manipulation
Metabolomic profiling:
Compare metabolite profiles between wild-type and mutant strains
Identify metabolic pathways affected by MJ0835
When designing screening conditions, consider the extremophilic nature of M. jannaschii, including high temperature (85°C), moderate pressure, and anaerobic conditions . Document screen design and results systematically:
| Screening Condition | Wild-type Response | Mutant Response | Statistical Significance | Potential Function Indicated |
|---|---|---|---|---|
| [Condition A] | [Measurement] | [Measurement] | [p-value] | [Functional hypothesis] |
Generating effective antibodies against archaeal proteins presents unique challenges due to potential structural differences and extremophilic adaptations. For MJ0835, consider:
Recombinant protein production strategies:
Express full-length protein in E. coli with solubility tags (MBP, SUMO)
Identify and express highly antigenic fragments (avoid hydrophobic regions)
Consider chemical synthesis of antigenic peptides for regions <25 amino acids
Antibody production considerations:
Generate both polyclonal (higher coverage) and monoclonal (specificity) antibodies
For polyclonal antibodies, purify using antigen affinity columns
Test cross-reactivity against related archaeal proteins
Validation strategies:
Western blot against recombinant protein and native extracts
Immunoprecipitation efficiency testing
Pre-absorption controls
Testing in knockout/overexpression strains
Document antibody characteristics in a comprehensive table:
| Antibody ID | Type | Epitope Region | Working Dilution (WB) | Cross-reactivity | Applications Validated |
|---|---|---|---|---|---|
| α-MJ0835-FL | Polyclonal | Full-length | 1:1000 | [Specificity data] | WB, IP, IF |
| α-MJ0835-Np | Monoclonal | N-terminal peptide | 1:5000 | Specific to MJ0835 | WB, ChIP |
For systematic functional characterization of MJ0835, a strategic mutagenesis approach should:
Identify candidate residues based on:
Sequence conservation analysis across archaeal homologs
Structural predictions identifying potential functional sites
Bioinformatic prediction of catalytic or binding residues
Design mutation types:
Conservative substitutions (maintain chemical properties)
Non-conservative substitutions (alter chemical properties)
Alanine-scanning for systematic analysis of surface patches
Domain swapping with homologous proteins if multi-domain
Functional assay development:
Design assays based on predicted function or phenotypic observations
Include thermal stability assessments (CD spectroscopy, DSF)
Consider archaeal-specific functional contexts
Given the thermophilic nature of M. jannaschii proteins, document both functional and stability effects of mutations:
| Mutation | Conservation Score | Structural Context | Activity (% WT) | Thermal Stability (Tm °C) | Interpretation |
|---|---|---|---|---|---|
| [Residue]A→G | [ConSurf score] | [Structural feature] | [Measured activity] | [Measured Tm] | [Functional impact] |
Expressing and purifying proteins from hyperthermophilic archaea like M. jannaschii requires specific considerations:
Expression optimization:
Codon optimization for expression host
Consider lower temperature expression (16-20°C) even for thermophilic proteins
Test multiple solubility tags (His, MBP, SUMO, GST)
Evaluate periplasmic expression to avoid inclusion bodies
Purification strategy:
Heat treatment step (65-75°C) to eliminate host proteins while retaining thermostable MJ0835
Include reducing agents throughout purification to maintain disulfide state
Consider detergents if membrane-associated properties are predicted
Test stability at various pH and salt concentrations
Folding verification:
Circular dichroism spectroscopy to assess secondary structure
Dynamic light scattering to verify monodispersity
Differential scanning calorimetry to measure thermal stability
Limited proteolysis to assess compact folding
Document purification yields and quality metrics:
| Purification Step | Yield (mg/L culture) | Purity (%) | Specific Activity | Oligomeric State |
|---|---|---|---|---|
| Crude extract | [Amount] | [Gel analysis] | [Activity] | [DLS analysis] |
| Heat treatment | [Amount] | [Gel analysis] | [Activity] | [DLS analysis] |
| Final preparation | [Amount] | [Gel analysis] | [Activity] | [DLS analysis] |
Given that many uncharacterized archaeal proteins are involved in defense systems or mobile genetic elements, investigating MJ0835's potential role requires:
Genomic context analysis:
Nucleic acid interaction studies:
EMSA (electrophoretic mobility shift assay) with various DNA/RNA substrates
Filter binding assays at physiologically relevant temperatures
Nuclease activity assays using labeled substrates
Functional genomics approaches:
Analyze transcriptional response to viral challenge
Examine co-expression networks in stress conditions
Comparative genomics across archaea with varying defense systems
Protein-protein interaction studies:
Look for interactions with known defense system components
Test association with DNA/RNA processing enzymes
Analyze co-purifying nucleic acids
Present evidence systematically:
| Analysis Type | Evidence Found | Similar Features In | Statistical Support | Functional Hypothesis |
|---|---|---|---|---|
| Genomic context | [Observations] | [Known systems] | [Significance] | [Defense role] |
| Biochemical assay | [Activity level] | [Characterized proteins] | [Replicates, p-value] | [Mechanism] |
The hyperthermophilic nature of M. jannaschii (optimal growth at 85°C) means protein stability analysis requires specialized approaches:
Thermal stability methods:
Differential scanning calorimetry (DSC) with extended temperature range (up to 120°C)
Circular dichroism (CD) spectroscopy with high-temperature capabilities
ThermoFluor/DSF assays using thermostable fluorescent dyes
Activity assays at various temperatures to determine functional thermal range
Data interpretation considerations:
Compare Tm values to growth temperature (85°C) rather than room temperature
Assess reversibility of thermal denaturation
Determine activation energy of unfolding
Analyze cooperativity of unfolding transitions
Comparative analysis:
Compare with other M. jannaschii proteins of known function
Analyze stabilizing features (ionic interactions, disulfides, hydrophobic packing)
Evaluate solvent and pH effects on stability
Present thermal stability data systematically:
| Condition | Tm (°C) | ΔH (kJ/mol) | Cooperativity Index | % Reversibility | Activity Retention |
|---|---|---|---|---|---|
| pH 7.0, standard buffer | [Temperature] | [Enthalpy] | [Cooperativity measure] | [% refolding] | [% activity] |
| With substrate | [Temperature] | [Enthalpy] | [Cooperativity measure] | [% refolding] | [% activity] |
To analyze evolutionary patterns of MJ0835 homologs across archaea:
Sequence collection and alignment:
Collect homologs using sensitive PSI-BLAST or HMMer searches
Create high-quality multiple sequence alignments with archaeal-specific gap penalties
Filter sequences for quality and coverage
Phylogenetic analysis approaches:
Maximum likelihood methods (RAxML, IQ-TREE) with appropriate archaeal substitution models
Bayesian methods (MrBayes, PhyloBayes) for posterior probability assessment
Reconcile gene trees with species trees to identify potential horizontal transfers
Selection analysis:
Calculate dN/dS ratios across alignment sites
Identify sites under positive or purifying selection
Test for episodic selection using branch-site models
Structural conservation mapping:
Map conservation scores onto predicted structures
Identify structurally conserved pockets and surfaces
Correlate with known functional residues in homologs
Present evolutionary analysis in a systematic way:
| Feature | Conservation Level | Selection Pattern | Taxonomic Distribution | Functional Implication |
|---|---|---|---|---|
| Domain A | [ConSurf score] | [dN/dS ratio] | [Taxa list] | [Functional hypothesis] |
| Residue X | [Identity %] | [Selection test p-value] | [Conservation pattern] | [Structural role] |
By systematically analyzing the evolutionary patterns, you can gain insights into functional constraints and adaptations specific to MJ0835 and its homologs.