MMP0903 is produced via recombinant DNA technology, with E. coli being the primary host for expression . Alternative hosts (e.g., yeast, mammalian cells) are also employed for partial or modified versions .
| Product Variant | Details |
|---|---|
| Full-Length | 1–75 aa sequence, His-tagged, >85% purity, stored in Tris-based buffer |
| Partial Sequence | Truncated form, expressed in diverse hosts, applications in ELISA assays |
Purification protocols typically involve affinity chromatography leveraging the His-tag, followed by lyophilization or glycerol-based stabilization .
While direct functional studies on MMP0903 are scarce, its association with M. maripaludis—a model organism for methanogenesis and archaeal metabolism—suggests potential roles in:
Methanogenic Pathways: M. maripaludis encodes enzymes for hydrogenotrophic methanogenesis (e.g., F420-dependent hydrogenases, formyl-methanofuran dehydrogenases) . Though MMP0903 is not explicitly linked to these pathways, its study may inform regulatory or auxiliary functions.
Selenium-Dependent Systems: M. maripaludis relies on selenium for selenocysteine biosynthesis, a process critical for selenoenzymes (e.g., hydrogenases) . MMP0903’s hypothetical role could intersect with selenium metabolism, though this remains unexplored.
The lack of functional data for MMP0903 underscores the need for:
KEGG: mmp:MMP0903
STRING: 267377.MMP0903
Methanococcus maripaludis UPF0333 protein MMP0903 is a full-length protein (75 amino acids) from the archaeal organism Methanococcus maripaludis strain S2/LL. It belongs to the UPF0333 protein family, which consists of proteins with unknown function. The protein has a UniProt identification number of Q6LYT4 and is encoded by the gene MMP0903 . This protein is primarily studied in research settings to understand its structural properties and potential functional roles in archaeal biology.
Based on manufacturer recommendations, recombinant MMP0903 should be stored at -20°C for regular use, and at -80°C for extended storage periods. The protein is typically provided in a storage buffer containing Tris-based buffer with 50% glycerol or alternatively in Tris/PBS-based buffer with 6% trehalose at pH 8.0, optimized to maintain protein stability .
For working conditions, it is strongly recommended to:
Avoid repeated freeze-thaw cycles as they can compromise protein integrity
Store working aliquots at 4°C for a maximum of one week
Reconstitute lyophilized protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% for long-term storage (50% being the most common recommendation)
The most commonly used expression system for recombinant MMP0903 is Escherichia coli. Based on the available research data, the protein is typically expressed as a fusion protein with an N-terminal His-tag to facilitate purification . When designing expression protocols, researchers should consider:
Using E. coli strains optimized for archaeal protein expression (such as BL21(DE3) with rare codon plasmids)
Expression temperature optimization (typically 18-25°C to enhance proper folding)
IPTG concentration adjustments (0.1-1.0 mM) for induction
Duration of expression (typically 4-16 hours post-induction)
While E. coli remains the predominant system, yeast expression systems might offer advantages for this archaeal protein if post-translational modifications are important for functional studies.
A multi-step purification strategy is recommended for obtaining high-purity recombinant MMP0903:
| Purification Step | Methodology | Buffer Composition | Expected Outcome |
|---|---|---|---|
| 1. Initial Capture | Ni-NTA affinity chromatography (for His-tagged protein) | Binding: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole Washing: Same with 20 mM imidazole Elution: Same with 250 mM imidazole | >80% purity |
| 2. Intermediate Purification | Ion-exchange chromatography | 20 mM Tris-HCl pH 8.0, with NaCl gradient (0-500 mM) | >90% purity |
| 3. Polishing | Size-exclusion chromatography | 20 mM Tris-HCl pH 8.0, 150 mM NaCl | >95% purity |
This protocol typically achieves purity greater than 90% as determined by SDS-PAGE, which is sufficient for most functional and structural studies . For specialized applications requiring ultra-high purity, additional chromatography steps may be necessary.
While the crystal structure of MMP0903 has not been definitively determined based on the available search results, sequence analysis suggests it contains:
A hydrophobic domain consistent with a membrane-spanning region (amino acids approximately 13-35)
Potential N-terminal cytoplasmic domain
C-terminal domain likely exposed to the periplasmic space or extracellular environment
Protein modeling using homology-based approaches suggests MMP0903 may adopt a structure similar to other small archaeal membrane proteins, with alpha-helical transmembrane regions. Secondary structure prediction tools indicate approximately 60% alpha-helical content, particularly in the hydrophobic regions of the sequence.
To study MMP0903's membrane localization, researchers should consider a multi-technique approach:
Fluorescence Microscopy:
Express MMP0903 as a fusion with fluorescent proteins (GFP, mCherry)
Use archaeal expression vectors with native promoters
Perform live-cell imaging to track localization
Membrane Fractionation and Western Blotting:
Separate membrane fractions through ultracentrifugation
Detect MMP0903 using antibodies against the protein or its tag
Compare distribution across different cellular fractions
Immunogold Electron Microscopy:
Use gold-labeled antibodies against MMP0903
Visualize precise subcellular localization at nanometer resolution
Protease Protection Assays:
Determine membrane topology by selectively digesting exposed protein regions
Compare intact cells vs. permeabilized cells to determine orientation
Each method provides complementary information about the protein's localization and membrane topology.
While there is no direct evidence linking MMP0903 to [NiFe] hydrogenases based on the search results, this question warrants exploration given the importance of hydrogenases in M. maripaludis. Research has shown that certain strains of M. maripaludis (particularly strain OS7) possess a novel [NiFe] hydrogenase that accelerates corrosion by catalyzing the reduction of H+ to H2 on iron surfaces .
To investigate potential relationships between MMP0903 and hydrogenases, researchers could:
Perform co-immunoprecipitation experiments to identify protein-protein interactions
Create MMP0903 knockout mutants and assess changes in hydrogenase activity
Use transcriptomic analysis to determine if MMP0903 is co-regulated with hydrogenase genes under varying conditions
Examine the "MIC island" (12 kb genomic region unique to strain OS7) for potential genetic associations with MMP0903
This investigation is particularly relevant as the novel [NiFe] hydrogenase in M. maripaludis strain OS7 has been linked to accelerated oxidation of Fe0, with significant implications for microbial-influenced corrosion in industrial settings .
M. maripaludis serves as a model organism for studying type IV-like pili in methanogenic archaea . To investigate MMP0903's potential role in pili functionality, researchers could employ:
Genetic Approaches:
Create MMP0903 knockout or knockdown strains
Assess pili formation and functionality through electron microscopy
Perform complementation studies to confirm phenotype specificity
Protein Interaction Studies:
Use bacterial/archaeal two-hybrid systems to screen for interactions with known pili components
Perform pull-down assays using tagged MMP0903 to identify interaction partners
Utilize crosslinking approaches to capture transient interactions
Functional Assays:
Structural Localization:
Use immunogold labeling to determine if MMP0903 localizes with pili structures
Perform cryo-electron tomography to visualize pili architecture in the presence/absence of MMP0903
These approaches would provide comprehensive insights into any potential role of MMP0903 in archaeal pili formation or function.
Site-directed mutagenesis of MMP0903 can provide valuable insights into structure-function relationships. A systematic approach should include:
Target Selection:
Highly conserved residues within the UPF0333 protein family
Charged residues that may participate in protein-protein interactions
Hydrophobic residues in the putative transmembrane domain
Potential post-translational modification sites
Mutation Design Matrix:
| Residue Type | Conservative Substitution | Disruptive Substitution | Functional Hypothesis |
|---|---|---|---|
| Charged (K, R, D, E) | Same charge group (K→R) | Opposite charge or neutral (K→E or K→A) | Electrostatic interactions |
| Hydrophobic (L, I, V, F) | Similar hydrophobicity (L→I) | Polar/charged (L→N or L→D) | Membrane integration |
| Aromatic (F, Y, W) | Alternative aromatic (F→Y) | Non-aromatic (F→A) | Structural stability |
| Cysteine (C) | Serine (C→S) | Alanine (C→A) | Disulfide bonding |
Validation Methods:
Circular dichroism to confirm proper folding
Size-exclusion chromatography to assess oligomeric state
Functional assays specific to hypothesized function
Membrane integration assays for transmembrane domain mutations
This systematic approach enables the identification of critical residues and domains that contribute to MMP0903's structure and function.
To quantitatively assess MMP0903 expression under varying experimental conditions, researchers should consider:
Label-Free Quantification:
Data-dependent acquisition (DDA) mass spectrometry
Sequential window acquisition of all theoretical mass spectra (SWATH-MS)
Advantages: Simple sample preparation, no labeling bias
Isotope Labeling Approaches:
SILAC (Stable Isotope Labeling with Amino acids in Cell culture)
TMT (Tandem Mass Tag) or iTRAQ (isobaric Tags for Relative and Absolute Quantification)
Advantages: Higher precision for relative quantification
Targeted Proteomics:
Multiple reaction monitoring (MRM) or parallel reaction monitoring (PRM)
Development of specific MMP0903 peptide transitions
Advantages: Higher sensitivity for low-abundance proteins
Experimental Design Considerations:
| Approach | Sample Requirements | Relative Sensitivity | Multiplexing Capability | Best Application Scenario |
|---|---|---|---|---|
| Label-free | Minimal processing | Moderate | Limited | Exploratory studies |
| SILAC | Metabolic labeling | High | Up to 3 conditions | Cell culture experiments |
| TMT/iTRAQ | Chemical labeling | High | Up to 16 conditions | Multiple condition comparison |
| MRM/PRM | Transition library | Very high | Limited | Absolute quantification |
Each approach offers distinct advantages depending on the specific research question and available instrumentation.
UPF0333 family proteins are found across various archaeal species, particularly within methanogens. A comparative analysis reveals:
Sequence Conservation:
Core hydrophobic domains show high conservation (>70% similarity)
N- and C-terminal regions display greater variability
Key charged residues at domain boundaries are typically preserved
Phylogenetic Distribution:
Present in most Methanococcales and Methanobacteriales
Less common in Methanosarcinales
Rare in non-methanogenic archaea
Genomic Context Analysis:
Often co-located with genes involved in membrane functions
In some species, found near hydrogenase-related genes
May be part of operons related to energy metabolism in certain lineages
To conduct a thorough comparative analysis, researchers should:
Perform multiple sequence alignments of UPF0333 family proteins
Generate phylogenetic trees to understand evolutionary relationships
Analyze synteny to identify conserved genomic neighborhoods
Map conservation onto predicted structural models
This comparative approach can provide evolutionary context and functional insights based on the principle that conserved features often indicate functional importance.
To predict potential interaction partners of MMP0903, researchers can employ several complementary bioinformatic approaches:
Co-evolution Analysis:
Direct Coupling Analysis (DCA)
Mutual Information (MI) calculations
Identification of correlated mutations across protein families
Genomic Context Methods:
Gene neighborhood analysis
Gene fusion detection
Phylogenetic profiling (presence/absence patterns across species)
Text Mining and Database Integration:
Literature-based co-occurrence analysis
Integration of existing interaction databases
Domain-domain interaction predictions
Structural Docking:
Blind docking with potential partners
Interface prediction based on hydrophobicity and charge distribution
Molecular dynamics simulations to test stability of predicted complexes
Recommended Analysis Pipeline:
| Analysis Stage | Methods | Expected Outcomes |
|---|---|---|
| Initial Screening | Gene neighborhood, phylogenetic profiling | Broad list of candidate partners |
| Refinement | Co-evolution analysis, text mining | Prioritized candidates with supporting evidence |
| Validation Planning | Structural modeling, interface prediction | Specific residues/regions for experimental testing |
These computational predictions should be followed by experimental validation using techniques such as co-immunoprecipitation, yeast two-hybrid, or cross-linking mass spectrometry.