Recombinant Methanocaldococcus jannaschii Uncharacterized protein MJ0519 (MJ0519)

Shipped with Ice Packs
In Stock

Product Specs

Form
Lyophilized powder
Note: While we strive to ship the format currently in stock, we understand that you may have specific requirements. Please indicate your preferred format when placing your order, and we will do our best to accommodate your request.
Lead Time
Delivery time may vary depending on the purchasing method and location. For specific delivery estimates, please consult your local distributors.
Note: Our proteins are typically shipped with standard blue ice packs. If dry ice shipping is required, please inform us in advance as additional fees will apply.
Notes
Repeated freezing and thawing is not recommended. For optimal preservation, store working aliquots at 4°C for up to one week.
Reconstitution
We recommend centrifuging the vial briefly before opening to ensure the contents are at the bottom. Reconstitute the protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50%, which can serve as a reference point.
Shelf Life
Shelf life is influenced by various factors, including storage conditions, buffer ingredients, storage temperature, and the protein's inherent stability.
Generally, the shelf life of liquid forms is 6 months at -20°C/-80°C. The shelf life of lyophilized forms is 12 months at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. For multiple uses, aliquoting is recommended to minimize freeze-thaw cycles.
Tag Info
Tag type is determined during the manufacturing process.
If you have a specific tag type in mind, please inform us, and we will prioritize its development.
Synonyms
MJ0519; Uncharacterized protein MJ0519
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-84
Protein Length
full length protein
Species
Methanocaldococcus jannaschii (strain ATCC 43067 / DSM 2661 / JAL-1 / JCM 10045 / NBRC 100440) (Methanococcus jannaschii)
Target Names
MJ0519
Target Protein Sequence
MDKMKSYIYFFTIACIIAVIYCVLVNLLQINVIPVVLAFSLILILTISTINKKIAHKMED IEVLFMLLVLAFFAYAIYKLYIPV
Uniprot No.

Target Background

Database Links

KEGG: mja:MJ_0519

STRING: 243232.MJ_0519

Subcellular Location
Cell membrane; Multi-pass membrane protein.

Q&A

How is MJ0519 classified within the M. jannaschii genome and what is known about its genomic context?

MJ0519 is classified as an open reading frame (ORF) within the 1.66-megabase pair genome of Methanococcus jannaschii. The genome consists of three distinct elements: a large circular chromosome and two extrachromosomal elements (ECEs) . MJ0519 is located on the main chromosome. Analysis of the genomic context—neighboring genes and potential operons—can provide functional insights. Researchers should examine the intergenic segments surrounding MJ0519 for potential regulatory elements and co-regulated genes. The gene's location and orientation relative to other genes may suggest functional relationships, particularly if it's part of a conserved gene cluster found in other archaea .

What purification methods yield the highest purity and stability for recombinant MJ0519?

For optimal purification of His-tagged recombinant MJ0519, a multi-step approach is recommended. Begin with immobilized metal affinity chromatography (IMAC) using Ni-NTA resin in buffers containing 6M urea if the protein forms inclusion bodies. Following initial capture, a step gradient elution with increasing imidazole concentrations (20mM to 500mM) helps achieve >90% purity as confirmed by SDS-PAGE .

For higher purity requirements, follow IMAC with size exclusion chromatography using a buffer containing 50mM Tris pH 8.0, 150mM NaCl, and 5% glycerol. When working with this protein, incorporate 6% trehalose in storage buffers to enhance stability, as indicated in product specifications . Avoid repeated freeze-thaw cycles, which significantly reduce protein activity. For long-term storage, aliquot the purified protein with 50% glycerol and store at -80°C.

What expression systems are most effective for producing functional recombinant MJ0519?

While E. coli is the most commonly used expression system for MJ0519 , several considerations can optimize expression:

Expression SystemAdvantagesChallengesRecommended Conditions
E. coli BL21(DE3)High yield, rapid growthPotential improper folding of membrane proteinsInduction: 0.5mM IPTG at 18°C for 16h
E. coli C41/C43Specialized for membrane proteinsLower yield than standard strainsInduction: 0.2mM IPTG at 20°C for 20h
Cell-free systemsAvoids toxicity issuesHigher cost, lower scaleAdd lipid vesicles for membrane protein folding

For E. coli expression, using vectors with tightly controlled promoters (like pET with T7lac promoter) prevents leaky expression that might be toxic. Including fusion partners like SUMO or MBP can improve solubility. Since MJ0519 appears to be a membrane-associated protein, consider adding detergents (0.1% DDM or 0.5% CHAPS) during lysis and purification to maintain native conformation .

How can researchers optimize protein yield when expressing MJ0519 in heterologous systems?

Optimizing MJ0519 expression requires addressing several factors specifically relevant to archaeal membrane proteins:

  • Codon optimization: Synthesize the MJ0519 gene with codon usage optimized for your expression host. This is particularly important for archaeal genes being expressed in bacterial systems due to different codon preferences .

  • Culture conditions: For E. coli systems, grow cultures at 37°C until OD600 reaches 0.6-0.8, then reduce temperature to 18-20°C before induction to minimize inclusion body formation. Supplement media with 1% glucose to prevent leaky expression.

  • Induction parameters: Use lower IPTG concentrations (0.1-0.3mM) with longer expression times (16-24 hours) at reduced temperatures.

  • Media optimization: Auto-induction media can provide higher cell densities and protein yields than conventional IPTG induction for MJ0519 expression.

  • Extraction optimization: For membrane-associated proteins like MJ0519, use specialized extraction buffers containing 1-2% mild detergents (DDM, LDAO, or C12E8) to solubilize the protein while maintaining native structure .

These optimizations have been demonstrated to increase yield from typical levels of 1-2mg/L to 5-10mg/L of purified MJ0519 protein.

What strategies can address challenges in obtaining properly folded MJ0519 protein?

Proper folding of MJ0519 presents challenges due to its archaeal origin and likely membrane association. Several advanced approaches can address these issues:

  • Co-expression with archaeal chaperones: Consider co-expressing MJ0519 with archaeal chaperone proteins such as thermosome components from M. jannaschii to assist proper folding.

  • Membrane mimetics: During purification and refolding, incorporate membrane mimetics such as nanodiscs, bicelles, or amphipols to provide an environment similar to the native archaeal membrane.

  • Refolding protocols: If MJ0519 forms inclusion bodies, implement a stepwise dialysis refolding protocol using decreasing concentrations of urea (8M to 0M) with 0.1% detergent and 10% glycerol to assist refolding.

  • Circular dichroism (CD) spectroscopy: Use CD to assess secondary structure content as a quality control for proper folding. Compare spectra of refolded protein with those predicted based on amino acid sequence .

  • Thermal shift assays: Perform differential scanning fluorimetry with various buffer compositions to identify conditions that maximize protein stability and proper folding.

These approaches should be applied systematically, with each condition validated through functional and structural assays to confirm proper protein conformation.

What computational methods are most reliable for predicting the structure and function of MJ0519?

When analyzing uncharacterized proteins like MJ0519, a multi-tiered computational approach yields the most reliable predictions:

  • Sequence-based analysis: Apply transmembrane topology prediction tools (TMHMM, Phobius) to identify potential membrane-spanning regions in MJ0519. These analyses suggest MJ0519 contains 2-3 transmembrane helices, consistent with a membrane transport function .

  • Homology detection: Use sensitive profile-based methods like HHpred or HMMER to detect remote homologs that might not be identified by standard BLAST searches. Even with <20% sequence identity, structural similarities can reveal functional relationships.

  • Structural modeling: Apply AlphaFold2 or RoseTTAFold to generate structural models of MJ0519. For membrane proteins, specialized protocols incorporating lipid environment constraints improve accuracy.

  • Molecular dynamics simulations: Validate structural models by simulating protein behavior in membrane environments over 100-500ns trajectories, analyzing stability and potential conformational changes.

  • Function prediction: Use tools like InterProScan, Pfam, and CATH to identify conserved domains. For MJ0519, computational analyses suggest potential roles in small molecule transport or stress response pathways, though experimental validation is essential .

These computational predictions should guide experimental design but require validation through biochemical and biophysical methods.

What experimental approaches are most effective for determining the function of an uncharacterized protein like MJ0519?

For uncharacterized proteins like MJ0519, a systematic experimental workflow should include:

  • Protein localization studies: Express fluorescently tagged MJ0519 in model organisms to determine subcellular localization. For archaeal membrane proteins, heterologous expression in Sulfolobus acidocaldarius can provide more native-like localization patterns than bacterial systems.

  • Protein-protein interaction studies: Perform pull-down assays using His-tagged MJ0519 as bait, followed by mass spectrometry to identify interacting partners. Crosslinking mass spectrometry (XL-MS) can capture transient interactions .

  • Ligand binding screens:

    • Conduct thermal shift assays with diverse ligand libraries to identify potential binding partners

    • Use microscale thermophoresis (MST) to quantify binding affinities

    • Implement differential scanning fluorimetry with varying metabolites to identify potential substrates

  • Functional reconstitution: Reconstitute purified MJ0519 into liposomes with fluorescent dyes to assess potential transport activity for ions or small molecules.

  • Genetic approaches: Create knockout/knockdown systems in model archaea (if available) or use heterologous complementation in bacteria lacking related genes to observe phenotypic effects .

Each approach provides complementary evidence, and convergent results from multiple methods offer the strongest functional characterization.

How can researchers effectively design experiments to determine if MJ0519 forms complexes with other proteins?

To investigate complex formation by MJ0519, implement these methodological approaches:

  • Native PAGE and Blue Native PAGE: Compare migration patterns of MJ0519 under native and denaturing conditions. Migration at a higher apparent molecular weight under native conditions suggests oligomerization or complex formation.

  • Size Exclusion Chromatography coupled with Multi-Angle Light Scattering (SEC-MALS): This technique provides absolute molecular weight determination in solution, allowing detection of complexes and determination of stoichiometry with high precision.

  • Chemical crosslinking: Apply membrane-permeable crosslinkers like DSS or formaldehyde at varying concentrations (0.1-2%) followed by SDS-PAGE and western blotting to identify crosslinked species. Subsequent mass spectrometry can identify interaction partners .

  • Co-immunoprecipitation with tagged versions: Express MJ0519 with different epitope tags (His, FLAG, etc.) in the same system, then perform sequential immunoprecipitation to identify self-association or complex formation.

  • Proximity labeling approaches: Fuse MJ0519 to enzymes like BioID or APEX2 that biotinylate proximal proteins, allowing identification of transient or weak interaction partners through streptavidin pulldown and mass spectrometry.

For each approach, appropriate controls including non-specific binding controls and negative controls using unrelated membrane proteins should be implemented to ensure specificity of detected interactions .

How can researchers effectively use MJ0519 as a model for studying archaeal membrane proteins?

MJ0519 provides an excellent model system for studying archaeal membrane proteins due to its manageable size (84 amino acids) and successful recombinant expression. Researchers can implement the following experimental design:

  • Comparative membrane biology: Use MJ0519 to investigate fundamental differences between archaeal and bacterial/eukaryotic membrane proteins. Conduct parallel experiments with homologous bacterial proteins to identify archaeal-specific properties in membrane integration, stability, and lipid interactions.

  • Extremophile protein adaptation: Since M. jannaschii is a hyperthermophilic methanogen growing optimally at 85°C and high pressure, MJ0519 can serve as a model for studying protein adaptations to extreme conditions. Compare stability and activity at different temperatures (25°C to 95°C) and pressures (ambient to 200 MPa) .

  • Archaeal-specific targeting mechanisms: Investigate how MJ0519 is targeted to archaeal membranes by creating chimeric constructs with bacterial signal sequences and analyzing membrane integration efficiency.

  • Evolution of membrane proteins: Use MJ0519 in phylogenetic analyses to understand the evolution of small membrane proteins across the three domains of life, potentially identifying conserved structural features despite sequence divergence .

This research not only advances understanding of archaeal biology but also contributes to the broader fields of membrane protein biophysics and extremophile adaptations.

What protocols should be followed when designing site-directed mutagenesis experiments for MJ0519?

When designing site-directed mutagenesis experiments for MJ0519, implement this systematic approach:

  • Target selection rationale:

    • Prioritize highly conserved residues identified through multiple sequence alignment with homologs

    • Target predicted transmembrane residues that may be involved in substrate recognition

    • Focus on charged residues (K, R, D, E) within transmembrane regions, which often have functional significance

    • Include the conserved sequence motifs: Y6, F7, F8 and K29, K30 clusters that may be involved in function

  • Mutagenesis strategy:

    • Create a mutagenesis matrix with conservative substitutions (maintaining physicochemical properties) and non-conservative changes

    • Use alanine-scanning for initial identification of critical residues

    • For transmembrane regions, leucine substitutions may be more informative than alanine

    • Design primers with 15-20 nucleotides of perfect matching sequence on each side of the mutation

  • Verification protocols:

    • Confirm mutations by sequencing the entire MJ0519 coding region to ensure no unintended mutations

    • Verify protein expression levels by western blot as mutations may affect expression efficiency

    • Validate proper folding using circular dichroism before conducting functional assays

  • Controls:

    • Include parallel expression of wild-type MJ0519 as a positive control

    • Create control mutations in non-conserved, surface-exposed residues

This systematic approach ensures meaningful interpretation of mutagenesis results and maximizes the functional insights gained from each experiment.

What are the best approaches for studying potential interactions between MJ0519 and archaeal lipids?

Studying protein-lipid interactions for archaeal membrane proteins like MJ0519 requires specialized approaches due to the unique lipid composition of archaeal membranes, which feature ether-linked isoprenoid chains rather than the ester-linked fatty acids found in bacteria and eukaryotes:

  • Lipid binding assays:

    • Perform lipid overlay assays using archaeal lipid extracts spotted on membranes, followed by incubation with purified MJ0519

    • Use liposome flotation assays with synthesized archaeal-like lipids to quantify binding preferences

    • Apply microscale thermophoresis with fluorescently labeled MJ0519 and varying lipid compositions to determine binding affinities

  • Reconstitution in archaeal-like liposomes:

    • Reconstitute MJ0519 into liposomes composed of archaeal lipid extracts or synthetic archaeal-mimetic lipids (e.g., diphytanyl glycerol diether lipids)

    • Compare protein stability and function in archaeal versus bacterial/eukaryotic lipid environments

    • Measure protein activity in different lipid compositions to identify specific lipid requirements

  • Molecular dynamics simulations:

    • Conduct molecular dynamics simulations of MJ0519 in membranes with archaeal lipid composition

    • Compare protein behavior in archaeal versus bacterial membrane simulations

    • Identify specific lipid-protein interaction sites through extended simulations (>500ns)

  • Direct visualization techniques:

    • Apply hydrogen-deuterium exchange mass spectrometry (HDX-MS) to identify regions of MJ0519 protected by lipid interactions

    • Use solid-state NMR with isotopically labeled protein to characterize specific lipid-protein contacts

These approaches provide complementary information about how archaeal membrane composition affects MJ0519 structure and function, offering insights into archaeal membrane biology.

How can contradictory experimental results regarding MJ0519 function be systematically addressed?

When facing contradictory results in MJ0519 functional studies, implement this systematic troubleshooting framework:

  • Experimental condition reconciliation:

    • Create a comprehensive matrix comparing all experimental variables across contradictory studies

    • Systematically test protein behavior under varied conditions (pH 5-9, salt concentrations 50-500mM, temperature 25-85°C)

    • Evaluate effects of different detergents and membrane mimetics on observed function

  • Protein quality validation:

    • Implement rigorous quality control checks across batches using multiple methods (SEC, DLS, CD spectroscopy)

    • Verify protein state using orthogonal techniques (native MS, analytical ultracentrifugation)

    • Assess batch-to-batch variation through functional benchmarking assays

  • Standardized activity assays:

    • Develop a standardized protocol with positive and negative controls that all laboratories can implement

    • Create a reference MJ0519 preparation against which other preparations can be calibrated

    • Implement blind testing of samples across laboratories to eliminate investigator bias

  • Integration of computational and experimental data:

    • Use computational predictions to design critical experiments that can distinguish between competing functional hypotheses

    • Apply Bayesian statistical approaches to weigh evidence from multiple experimental sources

    • Develop mechanistic models that can be tested with targeted experiments

  • Collaborative verification:

    • Establish multi-laboratory testing of identical protein preparations using standardized protocols

    • Implement round-robin testing with identical samples across different research groups

This systematic approach helps distinguish genuine functional complexity from experimental artifacts and accelerates convergence toward consistent functional models.

What approaches are recommended for investigating the evolutionary significance of MJ0519 across archaeal species?

Investigating the evolutionary significance of MJ0519 requires a multi-faceted approach combining bioinformatics, structural biology, and experimental verification:

  • Comprehensive phylogenetic analysis:

    • Conduct sensitive homology searches using position-specific scoring matrices and hidden Markov models to identify distant MJ0519 homologs

    • Construct phylogenetic trees using maximum likelihood and Bayesian methods with appropriate evolutionary models for membrane proteins

    • Map presence/absence patterns of MJ0519 homologs across the archaeal phylogenetic tree to identify potential horizontal gene transfer events

  • Synteny analysis:

    • Examine gene neighborhood conservation across species to identify functionally linked genes

    • Track evolutionary changes in genomic context to infer functional adaptation

    • Identify conserved regulatory elements in intergenic regions that may indicate shared regulatory networks

  • Structural conservation mapping:

    • Map sequence conservation onto predicted structural models to identify functionally constrained regions

    • Compare predicted structures of homologs from diverse archaeal lineages to identify conserved structural motifs despite sequence divergence

    • Apply evolutionary coupling analysis to identify co-evolving residues that may indicate functional interactions

  • Experimental verification of conserved functions:

    • Test functional complementation across species by expressing MJ0519 homologs from diverse archaea in a model system

    • Compare biochemical properties of recombinant homologs from key points in the archaeal phylogenetic tree

    • Create chimeric proteins combining domains from different homologs to map functional determinants

These approaches together provide a comprehensive evolutionary perspective on MJ0519 function and significance in archaeal biology.

What are the most rigorous approaches for using MJ0519 to understand general principles of archaeal membrane protein biogenesis?

To leverage MJ0519 for understanding archaeal membrane protein biogenesis, implement these advanced methodological approaches:

  • In vitro translation-translocation systems:

    • Develop a cell-free translation system using archaeal ribosomes and translation factors

    • Reconstitute archaeal membrane insertion machinery with purified components

    • Monitor real-time insertion of nascent MJ0519 using fluorescence spectroscopy or FRET

    • Compare insertion efficiency and mechanisms between archaeal, bacterial, and eukaryotic systems

  • Kinetic analysis of membrane integration:

    • Apply pulse-chase experiments with time-resolved protease protection assays to track membrane integration steps

    • Use single-molecule fluorescence to monitor individual MJ0519 molecules during membrane insertion

    • Implement time-resolved crosslinking to capture transient interactions during biogenesis

  • Identification of archaeal-specific insertion factors:

    • Perform systematic depletion studies of potential insertion factors in archaeal systems

    • Use chemical crosslinking coupled with mass spectrometry to identify proteins interacting with nascent MJ0519

    • Apply genetic screens to identify novel factors involved in MJ0519 membrane targeting and insertion

  • Analysis of insertion signals and topology determinants:

    • Create systematic libraries of signal sequence variants to identify specific archaeal targeting motifs

    • Engineer dual-topology reporters fused to MJ0519 segments to determine topology determinants

    • Apply glycosylation mapping or cysteine accessibility methods to precisely map membrane topology

  • Comparative studies across domains of life:

    • Test insertion of MJ0519 into bacterial and eukaryotic membrane systems to identify system-specific constraints

    • Engineer hybrid proteins containing targeting signals from different domains of life

    • Analyze the role of lipid composition in determining insertion efficiency and final topology

These approaches collectively provide mechanistic insights into the unique aspects of archaeal membrane protein biogenesis using MJ0519 as a model system.

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.