Recombinant Methanocaldococcus jannaschii Uncharacterized protein MJ1292.1 (MJ1292.1)

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Description

Genomic Context of MJ

The M. jannaschii genome (1.66 Mb) contains 1,682 predicted protein-coding regions . Uncharacterized proteins like MJ1292.1 are typically listed in Table 3 of the genome annotation (pages 117–150) , which catalogs open reading frames (ORFs) lacking homology to known sequences. These ORFs are prioritized for functional characterization due to their potential archaeal-specific roles.

Cloning and Recombinant Production

Key steps for isolating MJ1292.1:

  1. Primer Design: Use flanking sequences from the M. jannaschii genome (SEQ ID NO:1) .

  2. PCR Amplification: Amplify MJ1292.1 from a lambda DNA library .

  3. Vector Construction: Clone into expression vectors (e.g., pET24b) with affinity tags (e.g., 3xFLAG-twin Strep) .

  4. Host Transformation: Introduce into Escherichia coli or M. jannaschii BM31 (engineered for homologous overexpression) .

Example purification yields:

ProteinYield (mg/L culture)Purity (SDS-PAGE)Activity Validation
Mj-FprA 0.26Homogeneous2,100 µmole/min/mg (O₂ reduction)
PAN (MJ1176) N/AConfirmedATPase activity

Functional Predictions

Uncharacterized proteins in M. jannaschii are hypothesized to:

  • Participate in methanogenic cofactor biosynthesis .

  • Serve as novel enzymes in redox or stress-response pathways .

  • Exhibit thermostability due to adaptations to hydrothermal vent environments .

Comparative genomic insights:

FeatureMJ1292.1 (Hypothetical)Mj-FprA DEAD Box Helicase
Length~500–1,000 bp (estimated)360 aa347 aa
Domain StructureUnknownF420-binding domainRecA-like α/β domains
ThermotoleranceLikely highActive at 70°CStable at 85°C

Applications and Diagnostics

  • Probe Development: Unique sequences from uncharacterized ORFs (e.g., MJ1292.1) are candidates for species-specific diagnostic primers .

  • Structural Studies: Proteins like MJ1292.1 are targets for structural genomics to identify novel folds .

  • Biotechnological Potential: Thermostable enzymes from M. jannaschii are engineered for industrial processes .

Research Gaps and Future Directions

  • Functional Assignment: Requires knockouts (via suicide plasmids like pDS261) or heterologous expression.

  • Interaction Networks: Co-purification studies using tagged MJ1292.1 could identify binding partners .

  • Substrate Screening: Assay libraries for enzymatic activity under anaerobic, high-temperature conditions .

Product Specs

Form
Lyophilized powder. We will preferentially ship the format we have in stock. If you have special format requirements, please note them when ordering, and we will fulfill your request.
Lead Time
Delivery time varies depending on the purchase method and location. Consult your local distributors for specific delivery times. All proteins are shipped with standard blue ice packs. For dry ice shipping, please contact us in advance; additional charges apply.
Notes
Avoid repeated freezing and thawing. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect contents at the bottom. Reconstitute the protein in sterile deionized 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%.
Shelf Life
Shelf life depends on several factors: storage conditions, buffer components, storage temperature, and protein stability. Generally, the liquid form has a shelf life of 6 months at -20°C/-80°C, while the lyophilized form has a shelf life of 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type will be determined during the manufacturing process. If you require a specific tag type, please inform us, and we will prioritize developing it.
Synonyms
MJ1292.1; Uncharacterized protein MJ1292.1
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-237
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Methanocaldococcus jannaschii (strain ATCC 43067 / DSM 2661 / JAL-1 / JCM 10045 / NBRC 100440) (Methanococcus jannaschii)
Target Names
MJ1292.1
Target Protein Sequence
MGVRECVVTR IIKSRPIIAC EDVYLHNYTV FIKIRNRTQG FVKYEPIVGY PVNVTVSLKS AVPDLKDIEI WASAMDENGR LINCSKKKTI DIYGNYRKVN LEILFNDSLE GYLIIYAKTG EAVIPLYYKP IMVTYPVVFG LEYNPSDPWA NLTLSHNYQV PIKVNATIGK YSKIITIYPY KETKVPFYVG KDRNNITVSI ELLNNISTIK KFKKTFYFKK LNKIKTSINE TVVNKYN
Uniprot No.

Q&A

What is Methanocaldococcus jannaschii and why is it significant for protein research?

Methanocaldococcus jannaschii is a thermophilic methanogenic archaeon originally isolated from a "white smoker" chimney at the East Pacific Rise at a depth of 2600 meters. It was named after Woods Hole marine microbiologist Holger Jannasch . This organism is a strict anaerobe that thrives in extreme environments, growing at pressures up to 200+ atmospheres and temperatures ranging from 48°C to 94°C, with optimal growth around 85°C . The cells feature distinctive flagellar structures, with two waved-bundles of flagella arranged in subgroups and inserted near the same cell pole .

M. jannaschii's significance stems from its status as an extremophile with proteins adapted to function under conditions that would denature most mesophilic proteins, making it valuable for studying protein thermostability and adaptation mechanisms.

What general properties characterize proteins from Methanocaldococcus jannaschii?

Proteins from M. jannaschii typically exhibit:

  • Exceptional thermostability due to structural adaptations

  • Functionality under high pressure and temperature conditions

  • Often reduced amino acid sequence similarity to mesophilic homologs

  • Specialized mechanisms for maintaining structural integrity

  • Heightened resistance to denaturation

Similar to the characterized MJ0902 protein, which is a 238-amino acid protein with a His-tag that can be expressed recombinantly in E. coli, MJ1292.1 would likely share these general characteristics while possessing its own unique structural and functional properties .

What are the optimal expression systems for recombinant production of MJ1292.1?

Based on successful expression of similar M. jannaschii proteins:

  • E. coli expression systems represent the most common approach, particularly for initial characterization

  • N-terminal His-tag fusion facilitates purification via affinity chromatography

  • Expression conditions often require optimization to account for differences in codon usage between archaea and the bacterial host

  • Co-expression with chaperones may improve folding efficiency and yield

The product specification for similar M. jannaschii proteins indicates that full-length expression with appropriate tags is feasible, yielding proteins with >90% purity as determined by SDS-PAGE .

What storage and handling conditions should be used for recombinant MJ1292.1?

For optimal stability and activity:

Storage ParameterRecommended ConditionRationale
Long-term storage−20°C to −80°CPrevents degradation and maintains structure integrity
FormLyophilized powderProvides maximum stability during storage
Reconstitution bufferDeionized sterile waterCompatible with downstream applications
Working concentration0.1-1.0 mg/mLBalances stability with usability
Storage bufferTris/PBS-based with 6% Trehalose (pH 8.0)Provides ionic environment and cryoprotection
Recommended stabilizer5-50% glycerol (final concentration)Prevents freeze damage during storage
Working aliquotsStore at 4°CStable for up to one week

It is critical to avoid repeated freeze-thaw cycles, as this can lead to protein denaturation and loss of activity despite the thermostable nature of the protein .

What experimental design approaches are most appropriate for characterizing MJ1292.1?

Based on established experimental design principles for protein characterization studies:

  • Factorial designs are optimal when examining multiple variables (e.g., temperature, pH, salt concentration) and their interactions

  • Randomized complete block designs help control for batch effects in expression and purification processes

  • Repeated measures designs are appropriate for time-course experiments evaluating stability or activity

  • Nested experimental designs may be necessary when incorporating multiple hierarchical factors (e.g., different expression constructs with various buffers)

When planning experiments, researchers should calculate statistical power prior to implementation to ensure sufficient replication for detecting biologically meaningful effects .

What bioinformatic approaches can predict potential functions of MJ1292.1?

For uncharacterized proteins like MJ1292.1, a multi-faceted bioinformatic strategy is recommended:

  • Sequence-based analyses:

    • Homology searches across archaeal, bacterial, and eukaryotic databases

    • Identification of conserved domains and motifs

    • Secondary structure prediction

  • Structure-based approaches:

    • Ab initio structural modeling

    • Structural comparison with characterized proteins

    • Active site and binding pocket prediction

  • Contextual analyses:

    • Genomic neighborhood examination

    • Co-expression patterns with characterized genes

    • Phylogenetic profiling across species

These approaches should be integrated to develop testable hypotheses regarding protein function.

How can researchers experimentally determine if MJ1292.1 possesses enzymatic activity?

A systematic approach to identifying potential enzymatic activity includes:

ApproachMethodologyAdvantagesLimitations
Activity-based protein profilingUse of chemical probes that react with active site residuesDirectly identifies catalytic capabilityLimited by available probe chemistry
Substrate screeningExposure to libraries of potential substrates with detection systemsBroad coverage of possible activitiesMay miss substrates not in the library
Metabolomic analysisMass spectrometry to detect metabolic changes when protein is presentUnbiased approach to identify substratesRequires sensitive analytical methods
Structural analysisIdentification of potential catalytic triads or metal-binding sitesCan suggest reaction mechanismRequires high-resolution structural data
Genetic approachesComplementation studies in model organismsDemonstrates function in cellular contextLimited by availability of suitable mutants

Evaluating thermostable enzymes requires assay systems compatible with elevated temperatures and specialized equipment for accurate activity measurements.

What parameters should be considered when analyzing thermostability of MJ1292.1?

When characterizing thermostability:

  • Melting temperature (Tm) determination through differential scanning calorimetry or thermal shift assays

  • Activity retention profiles at various temperatures

  • Buffer composition effects on thermal stability

  • Long-term stability at elevated temperatures

  • Effects of substrates or cofactors on thermostability

  • Structural changes during thermal denaturation

For rigorous analysis, statistical approaches should include factorial ANOVA designs to evaluate interactions between temperature and other variables, with appropriate post-hoc comparisons to identify significant differences .

What strategies optimize crystallization of thermostable proteins like MJ1292.1?

Crystallization of thermostable archaeal proteins presents unique challenges and opportunities:

  • Temperature considerations:

    • Screen conditions at multiple temperatures (4°C, 20°C, 37°C, and higher)

    • Consider crystallization at temperatures closer to physiological conditions for the archaeon

  • Buffer optimization:

    • Test buffers with higher ionic strength than typically used for mesophilic proteins

    • Include stabilizing agents like trehalose that have proven effective for storage

  • Protein preparation:

    • Ensure high purity (>95%) through multiple purification steps

    • Verify protein homogeneity through dynamic light scattering

    • Consider limited proteolysis to identify stable domains

  • Crystallization approach:

    • Implement sparse matrix screens followed by targeted optimization

    • Consider both vapor diffusion and batch methods

    • Explore crystallization with potential ligands or substrate analogs

Successful crystallization typically requires iterative optimization and may benefit from techniques like seeding or surface entropy reduction.

How can researchers reconcile contradictory results in protein characterization studies?

When facing contradictory experimental outcomes:

  • Implement orthogonal methods to verify results from different angles

  • Carefully evaluate experimental controls and potential confounding variables

  • Consider protein heterogeneity or alternative conformational states

  • Examine post-translational modifications that may affect protein behavior

  • Analyze buffer components for potential interference with assays

  • Implement statistical methods like meta-analysis to synthesize divergent findings

A partly nested experimental design approach with blocking factors can help identify sources of variation and reconcile seemingly contradictory results .

What insights can be gained by comparing MJ1292.1 with characterized M. jannaschii proteins?

Comparative analysis with characterized proteins such as M. jannaschii prolyl-tRNA synthetase can reveal:

  • Common structural adaptations to extreme environments

  • Shared regulatory mechanisms

  • Potential functional relationships within metabolic or cellular processes

  • Species-specific protein features that distinguish M. jannaschii from other archaea

For example, M. jannaschii prolyl-tRNA synthetase exhibits unusual properties including the ability to misaminoacylate tRNA^Pro with cysteine, suggesting functional plasticity in archaeal proteins that might also be relevant to understanding MJ1292.1 .

How does studying proteins like MJ1292.1 contribute to understanding archaeal evolution?

Research on uncharacterized archaeal proteins contributes to evolutionary biology by:

  • Illuminating protein adaptations to extreme environments

  • Identifying archaeal-specific protein families and functions

  • Clarifying the relationship between archaea, bacteria, and eukaryotes

  • Revealing ancient conserved protein functions that predate domain divergence

  • Understanding horizontal gene transfer between extremophiles

This knowledge is particularly important given that M. jannaschii contains 1,785 protein-coding genes, many of which remain functionally uncharacterized despite complete genome sequencing .

What quality control measures are essential for studies with recombinant MJ1292.1?

Rigorous quality control should include:

Quality ParameterMethodologyAcceptance Criteria
PuritySDS-PAGE, size exclusion chromatography>90% homogeneity
IdentityMass spectrometry, N-terminal sequencingConfirmation of expected sequence
ActivityFunction-specific assaysReproducible activity measurements
StabilityThermal shift assays, limited proteolysisConsistent melting temperature
Aggregation stateDynamic light scattering, analytical ultracentrifugationMonodisperse preparation
Endotoxin levelsLAL assayBelow threshold for intended experiments

These quality control measures should be implemented consistently across batches to ensure experimental reproducibility.

How can researchers optimize experimental design for studying protein-protein interactions involving MJ1292.1?

For interaction studies:

  • Implement factorial experimental designs to test multiple conditions simultaneously

  • Use randomized block designs to control for experimental variation across protein preparations

  • Consider both in vitro approaches (pull-downs, surface plasmon resonance) and in vivo methods

  • Apply appropriate statistical analyses for interaction data, including tests for specific comparisons between conditions

  • Validate interactions through multiple orthogonal techniques

  • Account for the thermophilic nature of the protein when designing interaction assays

Careful consideration of experimental design at the planning stage significantly improves the reliability and interpretability of interaction studies .

What statistical approaches are most appropriate for analyzing thermal stability data?

For rigorous analysis of thermal stability:

  • Implement factorial ANOVA when examining effects of multiple variables on stability

  • Use non-linear regression to fit thermal denaturation curves

  • Apply mixed-effects models for repeated measures designs in time-course stability studies

  • Consider robust statistical methods when data violate assumptions of parametric tests

  • Implement power analysis to determine appropriate sample sizes for detecting biologically relevant differences

  • Report effect sizes alongside p-values to communicate biological significance

When analyzing complex designs, researchers should carefully consider the appropriate error terms for F-tests and interpret interactions before main effects .

How can multi-omics approaches enhance understanding of MJ1292.1 function?

Integrated multi-omics strategies provide complementary insights:

  • Genomic approaches:

    • Comparative genomics to identify conserved genetic contexts

    • Analysis of upstream regulatory regions

  • Transcriptomic analyses:

    • RNA-seq under various conditions to identify co-regulated genes

    • Ribosome profiling to examine translation efficiency

  • Proteomic strategies:

    • Interactome mapping through affinity purification-mass spectrometry

    • Post-translational modification analysis

  • Structural biology:

    • High-resolution structural determination

    • Molecular dynamics simulations under thermophilic conditions

  • Functional genomics:

    • CRISPR-based approaches in model systems expressing the protein

    • Phenotypic screening of variant libraries

The integration of these diverse data types requires sophisticated statistical approaches, including multivariate analyses and machine learning algorithms.

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