Recombinant Gulo gulo NADH-ubiquinone oxidoreductase chain 4L (MT-ND4L)

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Description

Structure and Sequence

MT-ND4L is a transmembrane protein with a hydrophobic domain, forming part of Complex I’s core structure. Key structural features include:

  • Length: 98 amino acids (10.7–10.8 kDa) .

  • Gene Overlap: The MT-ND4L gene overlaps with MT-ND4 in mitochondrial DNA, sharing three nucleotides (CAA TGC TAA) .

Table 2: Functional Role in Complex I

ProcessDescriptionSource
Electron AcceptorTransfers electrons from NADH to CoQ10
Proton GradientPumps protons into mitochondrial intermembrane space
Catalytic CoreMinimal assembly required for enzymatic activity

Production and Applications

Recombinant MT-ND4L is produced in bacterial systems (e.g., E. coli) with purification tags:

  • Expression System: E. coli with N-terminal His-tag for affinity purification .

  • Purity: >85–90% as determined by SDS-PAGE .

  • Applications:

    • ELISA: Used in immunological assays for antibody validation .

    • SDS-PAGE: Quality control for recombinant protein integrity .

Table 4: Clinical Associations

ConditionGenetic MutationMechanismSource
LHONT10663C (Val65Ala)Impaired ATP synthesis, optic nerve degeneration
ObesityVariants in MT-ND4LReduced metabolic efficiency
Diabetes MellitusMitochondrial Complex I defectsInsulin resistance

Research Challenges and Future Directions

  • Structural Insights: Limited 3D structural data hinder understanding of MT-ND4L’s role in proton pumping .

  • Therapeutic Potential: Studying recombinant MT-ND4L may inform gene therapy for mitochondrial diseases .

References

  1. Liberumbio. MT-ND4L. Link .

  2. Wikipedia. MT-ND4L. Link .

  3. American Science. ELISA Recombinant Gulo gulo MT-ND4L. Link .

  4. Cusabio. Recombinant Gulo gulo MT-ND4L. Link .

  5. Creative BioMart. Oxymycterus rufus MT-ND4L. Link .

  6. MedlinePlus. MT-ND4L Gene. Link .

  7. MyBiosource. MT-ND4L Recombinant Protein. Link .

  8. Boster Bio. MT-ND4L Antibodies. Link .

Product Specs

Form
Lyophilized powder
Note: While we prioritize shipping the format currently in stock, please specify your preferred format in order notes for customized preparation.
Lead Time
Delivery times vary depending on the purchasing method and location. Please contact your local distributor for precise delivery estimates.
Note: Standard shipping includes blue ice packs. Dry ice shipping requires prior arrangement and incurs additional charges.
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to collect the contents. 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 standard glycerol concentration is 50% and can be used as a reference.
Shelf Life
Shelf life depends on various factors including storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized formulations have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquoting is essential for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
MT-ND4L; MTND4L; NADH4L; ND4L; NADH-ubiquinone oxidoreductase chain 4L; NADH dehydrogenase subunit 4L
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-98
Protein Length
full length protein
Species
Gulo gulo (Wolverine) (Gluton)
Target Names
Target Protein Sequence
MSMVYINIFLAFTLSFMGLLIYRSHLMSSLLCLEGMMLSLFVMMTVTILTNHLTLASMTP IILLVFAACEAALGLSLLVMISNTYGTDYVQNLNLLQC
Uniprot No.

Target Background

Function
A core subunit of the mitochondrial membrane respiratory chain NADH dehydrogenase (Complex I). It catalyzes electron transfer from NADH through the respiratory chain, utilizing ubiquinone as the electron acceptor.
Protein Families
Complex I subunit 4L family
Subcellular Location
Mitochondrion inner membrane; Multi-pass membrane protein.

Q&A

What is the function of MT-ND4L in the mitochondrial respiratory chain?

MT-ND4L is one of approximately 40 different polypeptide subunits that comprise NADH:ubiquinone oxidoreductase (Complex I), the first enzyme in the respiratory electron transport chain of mitochondria. As a membrane-bound component, it participates in the electron transfer process from NADH to ubiquinone, contributing to the generation of the proton gradient necessary for ATP synthesis. The protein is encoded by mitochondrial DNA rather than nuclear genes, placing it among the seven mitochondrially-encoded subunits of Complex I . In the context of wolverine physiology, this protein may contribute to the species' remarkable endurance and metabolic efficiency in cold environments, though specific adaptations in Gulo gulo MT-ND4L compared to other mammals remain an active area of investigation.

How does MT-ND4L interact with other subunits of Complex I?

MT-ND4L interacts with multiple other subunits within the membrane domain of Complex I. Structural studies suggest that it forms close associations with both mitochondrially-encoded and nuclear-encoded subunits to maintain the proper conformation of the enzyme complex. These interactions are critical for electron transport function and may be influenced by lipid environment. The membrane domain containing MT-ND4L is also involved in proton translocation, contributing to the chemiosmotic coupling that drives ATP synthesis. When investigating these interactions in wolverine MT-ND4L, researchers should consider both conserved interaction sites common across mammals and potential species-specific variations that might confer adaptive advantages in Gulo gulo.

What approaches are recommended for initial characterization of recombinant Gulo gulo MT-ND4L?

Initial characterization should begin with sequence analysis and comparison with other mammalian species. Electrospray mass spectrometry can be employed to determine accurate molecular mass of the purified protein . N-terminal sequencing provides valuable information about potential post-translational modifications. For structural characterization, researchers may use a combination of circular dichroism spectroscopy to assess secondary structure content and hydrophobicity analysis to predict membrane-spanning regions. Functional assays should include measurements of NADH oxidation activity in reconstituted systems. When working with recombinant wolverine MT-ND4L, it's important to consider appropriate expression systems that can handle hydrophobic membrane proteins while maintaining proper folding and post-translational modifications.

How might lipid environments affect the function of recombinant Gulo gulo MT-ND4L?

Lipid environments significantly impact membrane protein function, including mitochondrial Complex I components like MT-ND4L. Research indicates that mitochondrial lipid composition influences the structural integrity and catalytic efficiency of the respiratory chain complexes. In wolverines adapting to extreme cold environments, lipid composition adaptations may influence MT-ND4L functionality. When studying recombinant Gulo gulo MT-ND4L, researchers should systematically evaluate protein function in various lipid environments, including different phospholipid compositions and cholesterol content that mimic both standard mitochondrial membranes and potential cold-adapted variations. For experimental approaches, reconstitution into liposomes of defined composition followed by activity assays can reveal optimal lipid requirements. Additionally, the uncoupling between lipid droplets and mitochondria under stress conditions, as observed in the LPS model , suggests that lipid trafficking between organelles may indirectly influence MT-ND4L function through changes in local lipid availability and mitochondrial energetics.

What methodological challenges exist in distinguishing the specific function of MT-ND4L from other Complex I subunits?

To overcome these challenges, researchers should consider: (1) employing inducible expression systems for controlled replacement of endogenous MT-ND4L with recombinant wolverine variants; (2) using partial inhibition approaches with subunit-specific inhibitors to isolate MT-ND4L contribution; and (3) implementing biophysical techniques such as hydrogen-deuterium exchange mass spectrometry to map dynamic structural changes upon MT-ND4L incorporation into the complex.

How can researchers effectively study the potential role of MT-ND4L in mitochondrial-lipid droplet interactions in wolverine tissues?

Research has revealed important functional interactions between mitochondria and lipid droplets that may be particularly relevant in cold-adapted species like wolverines. To investigate MT-ND4L's potential role in these interactions, researchers should consider multiple complementary approaches.

First, proximity labeling techniques using engineered MT-ND4L fused with biotin ligase can identify proteins in close proximity to MT-ND4L at mitochondria-lipid droplet contact sites. Second, high-resolution microscopy combined with appropriate fluorescent tags can visualize dynamic interactions between these organelles in wolverine-derived cell models. Third, isolation of lipid droplets using gradient centrifugation protocols (similar to those described in search result ) followed by proteomic analysis can identify mitochondrial proteins, including potential MT-ND4L fragments, associated with lipid droplets under different metabolic conditions.

The physical and functional uncoupling of lipid droplets and mitochondria observed under inflammatory stress conditions suggests that MT-ND4L might participate in regulated contact between these organelles. In cold-adapted species like wolverines, these interactions may be particularly important for rapid mobilization of fatty acids to support thermogenesis.

What expression systems are most appropriate for producing recombinant Gulo gulo MT-ND4L?

Selecting appropriate expression systems for producing recombinant wolverine MT-ND4L requires careful consideration of multiple factors. MT-ND4L is a highly hydrophobic membrane protein that typically requires specialized expression systems. Based on current methodologies, researchers should consider:

  • Bacterial expression systems: While E. coli systems offer high yield potential, membrane proteins often form inclusion bodies requiring refolding. Consider using specialized strains like C41(DE3) or C43(DE3) designed for membrane protein expression, along with fusion partners like thioredoxin or SUMO to enhance solubility.

  • Insect cell expression: Baculovirus-infected insect cells (Sf9, High Five) provide eukaryotic post-translational modifications and membranous structures that may better accommodate mitochondrial membrane proteins.

  • Mammalian cell expression: HEK293 or CHO cells can be transfected with vectors containing codon-optimized MT-ND4L sequences for near-native expression conditions . These systems may be particularly valuable for functional studies requiring proper integration into mitochondrial membranes.

When using PCR-based strategies for obtaining the cDNA sequence, researchers can adopt approaches similar to those described for bovine heart mitochondrial proteins , which minimize the need for cDNA libraries while enabling rapid sequence determination with minimal initial protein sequence knowledge.

What purification strategies are most effective for recombinant Gulo gulo MT-ND4L?

Purification of recombinant wolverine MT-ND4L presents significant challenges due to its hydrophobicity and tendency to aggregate. An effective purification strategy should include:

  • Detergent screening: Systematically test multiple detergents (DDM, LMNG, digitonin) at various concentrations to identify optimal solubilization conditions that maintain protein structure.

  • Affinity chromatography: Incorporate an affinity tag (His6, FLAG, or Strep-tag II) at either terminus, ensuring the tag does not interfere with protein folding. For mitochondrial proteins like MT-ND4L, C-terminal tags are often preferred to avoid interfering with potential N-terminal targeting sequences.

  • Size exclusion chromatography: Separate properly folded protein from aggregates and remove detergent micelles.

  • Quality control: Verify purified protein integrity using electrospray mass spectrometry to confirm molecular mass and circular dichroism to assess secondary structure.

Researchers should monitor protein quality throughout purification using functional assays that measure electron transfer capacity. Additionally, consider incorporating stabilizing lipids during purification to maintain native-like environment for this highly hydrophobic protein.

What strategies can be employed to assess the integration of recombinant MT-ND4L into functional Complex I?

Assessing successful integration of recombinant wolverine MT-ND4L into functional Complex I requires multiple complementary approaches:

  • Respiratory chain activity measurements: Monitor NADH:ubiquinone oxidoreductase activity using spectrophotometric assays that track NADH oxidation rates in isolated mitochondria or membrane preparations.

  • Blue native PAGE: Confirm incorporation into fully assembled Complex I by comparing migration patterns of native complexes versus those with recombinant MT-ND4L.

  • Supercomplex analysis: Assess whether incorporation of wolverine MT-ND4L affects the formation of respiratory supercomplexes using gentle solubilization techniques followed by gradient centrifugation.

  • Proteomic verification: Use targeted proteomics with isotope-labeled peptide standards to quantify stoichiometric incorporation.

  • Functional complementation: Test whether recombinant wolverine MT-ND4L can rescue function in cells with compromised endogenous MT-ND4L.

When comparing experimental conditions, researchers should quantify both the efficiency of incorporation and the resulting functional parameters to identify potential species-specific adaptations in the wolverine protein.

How should researchers interpret species-specific variations in MT-ND4L sequence and function?

When analyzing species-specific variations in wolverine MT-ND4L, researchers should employ a systematic comparative approach:

  • Sequence conservation analysis: Align MT-ND4L sequences across species with different environmental adaptations, focusing on mammals with varying cold tolerance. Calculate conservation scores for each position and map these onto structural models to identify potentially adaptive variations in Gulo gulo.

  • Structure-function correlation: Use homology modeling based on available Complex I structures to predict how wolverine-specific amino acid substitutions might influence protein function. Pay particular attention to residues facing the lipid bilayer, as these may reflect adaptation to different membrane environments at varying temperatures.

  • Functional impact assessment: When interpreting activity data, normalize measurements to account for differences in expression levels or incorporation efficiency. Consider establishing a reference panel of MT-ND4L variants from different species to contextualize wolverine-specific functional properties.

  • Molecular dynamics simulations: Complement experimental data with in silico approaches to predict how sequence variations might influence protein dynamics, particularly under conditions mimicking cold environments where wolverines thrive.

Researchers should be cautious about attributing all functional differences directly to MT-ND4L variations, as differences in lipid environment, post-translational modifications, or interactions with nuclear-encoded subunits may contribute significantly to observed phenotypes.

What statistical approaches are recommended for analyzing MT-ND4L mutational studies?

When conducting mutational studies on wolverine MT-ND4L, appropriate statistical approaches are essential for meaningful interpretation:

  • Experimental design considerations:

    • Include multiple biological replicates (n≥3) to account for variability in expression and integration

    • Incorporate appropriate controls including wild-type protein and conservative mutations

    • Design factorial experiments when examining interactions between multiple variables

  • Statistical methods for data analysis:

    • For comparing activity across multiple mutants: one-way ANOVA followed by appropriate post-hoc tests (Tukey's or Dunnett's)

    • For examining effects of mutations under varying conditions: two-way ANOVA to detect interaction effects

    • For complex datasets with multiple parameters: consider multivariate analysis approaches or mixed effects models

  • Appropriate normalization:

    • Normalize activity measurements to protein expression levels

    • Consider ratio-based normalization when comparing across different experimental conditions

  • Reporting standards:

    • Present complete statistical information including test used, n values, p-values, and effect sizes

    • Include appropriate visualization of data variability (standard deviation or standard error)

    • Consider statistical power analysis when designing experiments and interpreting results

When interpreting statistical significance, researchers should distinguish between statistical and biological significance, particularly when working with highly sensitive assays that can detect minute differences that may not translate to meaningful physiological effects.

How can researchers effectively correlate MT-ND4L function with mitochondrial bioenergetics in wolverine models?

  • Comprehensive mitochondrial function assessment:

    • Measure oxygen consumption rates at different respiratory states

    • Quantify mitochondrial membrane potential

    • Assess electron transfer through individual complexes

    • Measure ATP production rates and ATP/ADP ratios

    • Determine reactive oxygen species (ROS) production

  • Correlation analysis framework:

    • Calculate Pearson or Spearman correlation coefficients between MT-ND4L parameters (expression level, mutation status) and bioenergetic outcomes

    • Use multiple regression approaches to account for confounding variables

    • Consider path analysis to model direct and indirect effects on energy metabolism

  • Integrative data visualization:

    • Develop multiparameter visualization approaches that illustrate relationships between MT-ND4L variations and multiple bioenergetic outputs

    • Create heat maps to visualize correlation matrices across multiple experimental conditions

  • Experimental controls:

    • Include measurements of citrate synthase activity as a reliable marker of mitochondrial content

    • Assess fatty acid beta-oxidation capacity using standardized protocols

    • Quantify levels of other respiratory chain components to control for secondary effects

When interpreting correlations, researchers should consider that the mitochondrial-lipid droplet interaction may be particularly important in cold-adapted species. The physical and functional uncoupling observed between these organelles under stress conditions suggests that monitoring this interaction could provide additional insights into how MT-ND4L variations affect wolverine bioenergetics.

What emerging technologies might advance our understanding of Gulo gulo MT-ND4L function?

Several cutting-edge technologies show promise for deeper insights into wolverine MT-ND4L function:

  • Cryo-electron microscopy: High-resolution structures of wolverine-specific Complex I could reveal unique conformational features related to cold adaptation.

  • In-cell NMR: This emerging technique could potentially monitor structural dynamics of labeled MT-ND4L within intact mitochondria under various conditions.

  • CRISPR-based mitochondrial genome editing: As mitochondrial genome editing technologies advance, direct manipulation of MT-ND4L in cell models will become feasible.

  • Single-organelle metabolomics: Techniques that can measure metabolic profiles in individual mitochondria may reveal heterogeneity in function related to MT-ND4L variants.

  • Integrative multi-omics approaches: Combining proteomics, lipidomics, and metabolomics data with machine learning algorithms could identify subtle patterns in how MT-ND4L variations influence mitochondrial function.

  • Organ-on-chip technologies: Microfluidic devices mimicking wolverine tissue environments could allow controlled studies of MT-ND4L function under various physiological conditions.

Researchers should prioritize technologies that can bridge the gap between molecular-level understanding and physiological relevance, particularly for species-specific adaptations that may have evolved to support the wolverine's exceptional metabolic capacity in harsh environments.

What are the most reliable reference sequences and structures for studying Gulo gulo MT-ND4L?

When conducting research on wolverine MT-ND4L, researchers should consult multiple reference sources:

  • Genomic references:

    • Complete mitochondrial genome sequences for Gulo gulo available in GenBank

    • Comparative mitochondrial genomics databases that include multiple mustelid species

    • Annotation information from the Mammalian Mitochondrial Genome Database

  • Structural references:

    • High-resolution cryo-EM structures of mammalian Complex I (particularly from closely related species)

    • Structural models that specifically annotate the position and interactions of MT-ND4L

    • Molecular dynamics models of Complex I that include lipid interactions

  • Functional references:

    • Standardized protocols for assessing Complex I activity across species

    • Reference values for electron transport chain function in mustelid mitochondria

    • Comparative data on mitochondrial function in cold-adapted mammals

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