Recombinant Microcebus ravelobensis NADH-ubiquinone oxidoreductase chain 4L (MT-ND4L)

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Description

Introduction to Recombinant Microcebus ravelobensis NADH-Ubiquinone Oxidoreductase Chain 4L (MT-ND4L)

Recombinant Microcebus ravelobensis NADH-ubiquinone oxidoreductase chain 4L (MT-ND4L) is a synthesized version of a mitochondrial protein subunit critical to Complex I of the electron transport chain. Native MT-ND4L is encoded by the mitochondrial gene MT-ND4L and forms part of the transmembrane domain of Complex I, which facilitates electron transfer from NADH to ubiquinone while pumping protons across the membrane . The recombinant protein is engineered for research and therapeutic applications, often expressed in heterologous systems like E. coli with affinity tags (e.g., His-tag) for purification .

Functional Role in Complex I

MT-ND4L is integral to Complex I’s catalytic and structural activities:

  • Electron Transfer: Facilitates the transfer of electrons from NADH to ubiquinone via redox-active centers (FMN, iron-sulfur clusters) .

  • Proton Pumping: Conformational changes during electron transfer drive proton translocation, contributing to the proton gradient for ATP synthesis .

  • Complex Assembly: Critical for stabilizing the 950-kDa Complex I structure; its absence disrupts assembly and enzymatic activity .

Production and Purification

Recombinant MT-ND4L is produced via bacterial expression systems:

ParameterDetailsSource
Expression HostE. coli
CostStarts at $99 + $0.30 per amino acid (DNA synthesis included)
PurificationAffinity chromatography (His-tag)
Storage-20°C or -80°C in Tris-based buffer with 50% glycerol

Challenges include low solubility due to hydrophobicity and variability in molecular weight during SDS-PAGE .

Clinical and Functional Insights

Key findings from related research:

  • Gene Overlap: The MT-ND4L gene overlaps with MT-ND4 in mitochondrial DNA, sharing codons for efficient transcription .

  • Metabolic Impact: Variants in MT-ND4L correlate with elevated BMI and obesity risk, highlighting its role in energy homeostasis .

  • Species-Specific Features: Microcebus MT-ND4L’s nuclear-encoded homologs (e.g., in Chlamydomonas) show reduced hydrophobicity, aiding mitochondrial import .

Challenges and Future Directions

  1. Expression Difficulties: Hydrophobic regions may require chaperones or solubility tags for proper folding .

  2. Functional Validation: Limited data exist on the enzymatic activity of recombinant MT-ND4L in vitro.

  3. Therapeutic Potential: Further research is needed to explore its utility in mitochondrial disorder models or drug development.

Product Specs

Form
Lyophilized powder
Note: While we prioritize shipping the format currently in stock, we are happy to accommodate any specific format requirements. Please indicate your desired format when placing your order, and we will fulfill your request.
Lead Time
Delivery time may vary depending on the purchasing method and location. We kindly request that you consult your local distributors for specific delivery timelines.
Note: All of our proteins are shipped with standard blue ice packs. If you require dry ice shipping, please notify us in advance as additional fees will apply.
Notes
Repeated freezing and thawing is not recommended. Store working aliquots at 4°C for up to one week.
Reconstitution
We recommend centrifuging the vial briefly prior to opening to ensure the contents settle at the bottom. Reconstitute the protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we suggest adding 5-50% glycerol (final concentration) and aliquoting the solution at -20°C/-80°C. Our default glycerol concentration is 50% and can be used as a reference.
Shelf Life
Shelf life is influenced by several factors, including storage conditions, buffer composition, temperature, and the intrinsic stability of the protein.
Generally, the shelf life of liquid formulations is 6 months at -20°C/-80°C. The shelf life of lyophilized formulations is 12 months at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquoting is recommended for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type will be determined during the manufacturing process.
The tag type is determined during production. If you have a specific tag type requirement, please inform us, and we will prioritize developing the specified tag.
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
Microcebus ravelobensis (Golden-brown mouse lemur)
Target Names
Target Protein Sequence
MLSISININLAFAAALLGMLMFRSHMMSSLLCLEGMMLSMFILSTLIILNMQFTMSFTMP ILLLVFAACEAAIGLALLVMVSNNYGLDYIQNLNLLQC
Uniprot No.

Target Background

Function
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 an electron acceptor.
Protein Families
Complex I subunit 4L family
Subcellular Location
Mitochondrion inner membrane; Multi-pass membrane protein.

Q&A

What is the biological significance of MT-ND4L in Microcebus ravelobensis compared to other species?

MT-ND4L (NADH-ubiquinone oxidoreductase chain 4L) is a mitochondrially-encoded protein that functions as a critical subunit of Complex I in the electron transport chain. In Microcebus ravelobensis (Golden-brown mouse lemur), this protein consists of 98 amino acids with the sequence: mLSISININLAFAAALLGmLMFRSHMMSSLLCLEGMmLSMFILSTLIILNMQFTMSFTMP ILLLVFAACEAAIGLALLVMVSNNYGLDYIQNLNLLQC .

The significance of this protein lies in its highly conserved function across species while maintaining species-specific sequence variations. Unlike its human counterpart, the Microcebus ravelobensis MT-ND4L may exhibit unique adaptations related to the species' metabolic requirements and evolutionary history. Research comparing MT-ND4L across various lemur species, including Microcebus ravelobensis and Avahi unicolor, has revealed important insights into primate evolution and mitochondrial function adaptation .

Methodologically, researchers should approach cross-species comparisons by:

  • Performing multiple sequence alignments using CLUSTAL or similar algorithms

  • Calculating conservation scores for each residue

  • Identifying species-specific amino acid substitutions

  • Correlating substitutions with potential functional adaptations

How does the structure of MT-ND4L contribute to Complex I function in mitochondria?

MT-ND4L is one of the most hydrophobic subunits of Complex I, forming part of the core transmembrane region that anchors the complex to the inner mitochondrial membrane . The protein adopts an L-shaped structure with:

  • A long hydrophobic transmembrane domain embedded in the inner mitochondrial membrane

  • Integration into the larger L-shaped Complex I structure where the peripheral arm contains redox centers and the NADH binding site

Methodologically, structural analysis requires:

  • Membrane protein isolation techniques that preserve native conformation

  • Lipid reconstitution experiments to maintain functional activity

  • Cryo-electron microscopy for high-resolution structural determination

  • Molecular dynamics simulations to predict conformational changes during electron transport

An unusual feature of MT-ND4L is its gene overlap with MT-ND4, where the last three codons of MT-ND4L overlap with the first three codons of MT-ND4 in a different reading frame . This gene organization suggests coordinated expression and assembly, critical for proper Complex I function.

What expression systems are most effective for producing functional recombinant MT-ND4L from Microcebus ravelobensis?

Producing functional recombinant MT-ND4L presents significant challenges due to its hydrophobic nature and requirement for proper mitochondrial membrane insertion. Based on published methodologies, researchers should consider:

Expression system comparison:

SystemAdvantagesDisadvantagesYieldFunctional Activity
E. coliCost-effective, rapid growthLack of post-translational modifications, inclusion body formationModerate (when optimized)Variable, requires refolding
Insect cellsBetter membrane protein foldingHigher cost, longer production timeGoodOften functional
Mammalian cellsNative post-translational modificationsHighest cost, complex protocolsLowerMost likely functional
  • Codon optimization for the expression host

  • Use of specialized strains designed for membrane protein expression (e.g., C41(DE3), C43(DE3))

  • Induction at lower temperatures (16-20°C) to slow protein production and facilitate folding

  • Addition of detergents or lipids to stabilize the hydrophobic regions

  • Careful optimization of expression conditions using experimental design methodology

Most successful protocols employ a multivariate experimental design approach, systematically testing variables including temperature, inducer concentration, media composition, and induction time to maximize soluble protein production .

What purification strategies overcome the challenges of MT-ND4L's hydrophobic nature?

The highly hydrophobic nature of MT-ND4L creates significant purification challenges. Effective purification requires:

  • Solubilization: Use of appropriate detergents (typically mild non-ionic or zwitterionic detergents like DDM, LMNG, or CHAPS) at concentrations above their critical micelle concentration

  • Affinity purification: His-tagged constructs allow for initial purification using Ni-NTA chromatography, with detergent maintained in all buffers

  • Buffer optimization: Inclusion of glycerol (20-50%) and stabilizing agents in buffers

  • Storage considerations: Avoiding freeze-thaw cycles, with recommended storage at -20°C/-80°C and working aliquots at 4°C for up to one week

For functional studies, researchers should consider:

  • Reconstitution into lipid nanodiscs or liposomes for functional assays

  • Verification of proper folding through circular dichroism or intrinsic fluorescence

  • Activity assays to confirm electron transport function

How can researchers verify the proper folding and activity of recombinant MT-ND4L?

Verification of proper folding and activity of recombinant MT-ND4L requires multiple complementary approaches:

Structural verification methods:

  • Circular dichroism (CD) spectroscopy to assess secondary structure content

  • Limited proteolysis to evaluate conformational integrity

  • Intrinsic fluorescence to monitor tertiary structure

  • Size-exclusion chromatography to evaluate oligomeric state and aggregation

Functional verification methods:

  • NADH:ubiquinone oxidoreductase activity assay measuring electron transfer rates

  • Membrane integration assays using reconstituted liposomes

  • Co-immunoprecipitation with other Complex I subunits to verify interaction capability

  • Complementation assays in MT-ND4L-deficient cells or mitochondria

When validating recombinant protein activity, it's crucial to compare results to native mitochondrial preparations. Researchers should establish clear acceptance criteria for both structural and functional parameters before proceeding with experimental applications .

What approaches best measure the interaction of MT-ND4L with other mitochondrial Complex I components?

Investigating MT-ND4L interactions with other Complex I components requires specialized techniques for membrane protein interaction studies:

  • Co-immunoprecipitation: Using antibodies against MT-ND4L or potential interaction partners followed by mass spectrometry to identify bound proteins

  • Crosslinking mass spectrometry: Applying membrane-permeable crosslinkers followed by digestion and mass spectrometry to identify interaction interfaces

  • Surface plasmon resonance (SPR): Immobilizing purified MT-ND4L and measuring binding kinetics with other Complex I components

  • Förster resonance energy transfer (FRET): Labeling MT-ND4L and potential interaction partners with fluorophore pairs to detect proximity in reconstituted systems

  • Cryo-EM structural analysis: Most definitive approach for visualizing the integration of MT-ND4L within the entire Complex I structure

Recent research indicates that mitochondrial proteins often form functional clusters rather than existing as isolated complexes . For MT-ND4L specifically, researchers should investigate both its interactions within Complex I and potential associations with other mitochondrial membrane components.

How should researchers design experiments to investigate species-specific functions of Microcebus ravelobensis MT-ND4L?

Investigating species-specific functions requires carefully designed comparative experiments:

Experimental design framework:

  • Hypothesis formulation: Clearly articulate testable hypotheses about MT-ND4L function in Microcebus ravelobensis vs. other species

  • Orthologous protein comparison: Express and purify MT-ND4L from multiple species (human, mouse, Microcebus ravelobensis, Avahi unicolor) using identical protocols

  • Controlled variable management:

    • Use standardized expression systems and tags

    • Maintain identical purification protocols

    • Employ the same functional assays with consistent conditions

  • Chimeric protein design: Create chimeric proteins swapping domains between species to identify functional regions

  • Site-directed mutagenesis: Target species-specific amino acid differences to assess their functional impact

  • Statistical rigor: Design experiments with sufficient technical and biological replicates (n≥3) and appropriate controls

  • Validation in native context: Confirm findings using mitochondria isolated from the species being compared when possible

This approach allows attribution of functional differences to specific sequence variations rather than experimental artifacts .

What statistical approaches are appropriate for analyzing MT-ND4L functional data in comparative studies?

Statistical analysis of MT-ND4L functional data requires approaches that address both the technical complexities of membrane protein experiments and the biological significance of observed differences:

  • Data normalization strategies:

    • Normalize to internal standards or reference proteins

    • Apply log transformations for data with multiplicative errors

    • Consider relative activity rather than absolute values when comparing across species

  • Statistical test selection:

    • For parametric data: ANOVA with post-hoc tests (Tukey's HSD or Bonferroni correction)

    • For non-parametric data: Kruskal-Wallis followed by Dunn's test

    • For time-series data: repeated measures ANOVA or mixed-effects models

  • Multiple testing correction:

    • Apply Benjamini-Hochberg procedure to control false discovery rate

    • Use family-wise error rate control for confirmatory analyses

  • Effect size calculation:

    • Report Cohen's d for parametric data

    • Report r for non-parametric data

  • Power analysis:

    • Conduct a priori power analysis to determine sample size

    • Report achieved power for key comparisons

When analyzing evolutionary or population genetic data related to MT-ND4L, researchers should employ specialized approaches such as McDonald-Kreitman tests or dN/dS ratio analysis to detect signatures of selection .

How can recombinant Microcebus ravelobensis MT-ND4L be used to study mitochondrial disease mechanisms?

Recombinant Microcebus ravelobensis MT-ND4L provides a valuable tool for investigating mitochondrial disease mechanisms through several approaches:

  • Comparative disease model development:

    • Introduce known pathogenic mutations found in human MT-ND4L into the Microcebus ravelobensis ortholog

    • Compare functional consequences in both species

    • Identify conserved vs. species-specific disease mechanisms

  • Rescue experiments:

    • Test if Microcebus ravelobensis MT-ND4L can complement human MT-ND4L defects

    • Identify protective features of the lemur protein that might mitigate disease manifestations

  • Biomarker discovery:

    • Use recombinant protein to develop antibodies for immunohistochemistry

    • Establish protein-protein interaction profiles in healthy vs. disease states

Recent research has associated MT-ND4L variants with Alzheimer's disease (AD), with a study-wide significant association of AD with the MT-ND4L gene identified in a gene-based test (P = 6.71 × 10^-5) . Additionally, MT-ND4L mutations have been linked to Leber Hereditary Optic Neuropathy (LHON), specifically the T10663C (Val65Ala) mutation .

By comparing the lemur MT-ND4L with human versions carrying these mutations, researchers may gain insights into disease mechanisms and potential therapeutic approaches.

What control experiments are essential when using recombinant MT-ND4L in functional studies?

Robust experimental design requires comprehensive controls when working with recombinant MT-ND4L:

  • Negative controls:

    • Empty vector preparations processed identically to MT-ND4L samples

    • Heat-denatured MT-ND4L to confirm activity is due to properly folded protein

    • Mitochondria from MT-ND4L knockout/knockdown cells

  • Positive controls:

    • Native mitochondrial preparations containing endogenous MT-ND4L

    • Well-characterized recombinant MT-ND4L from model organisms

    • Known functional Complex I with confirmed activity

  • Tag controls:

    • For His-tagged constructs, include the same tag in control proteins

    • Perform experiments with both N- and C-terminally tagged versions to assess tag interference

    • Include tag-removal experiments where feasible

  • Buffer and detergent controls:

    • Include matched buffer components in all experimental conditions

    • Test multiple detergent types to ensure results aren't detergent-specific

    • Include detergent-only controls in membrane experiments

  • Species-specific controls:

    • Include MT-ND4L from closely related species

    • Use evolutionary distance measures to contextualize functional differences

Proper controls are particularly important given the technical challenges of working with mitochondrial membrane proteins and the potential impact of experimental conditions on their function .

How do genomic features of MT-ND4L in Microcebus ravelobensis inform our understanding of primate mitochondrial evolution?

MT-ND4L in Microcebus ravelobensis offers valuable insights into primate mitochondrial evolution through several genomic features:

  • Sequence conservation patterns:

    • The core functional domains show high conservation across primates

    • Species-specific variations cluster in particular regions, suggesting adaptive evolution

    • The amino acid sequence reflects the unique evolutionary history of mouse lemurs in Madagascar

  • Overlapping gene structure:

    • Like in humans, the MT-ND4L gene in Microcebus ravelobensis overlaps with MT-ND4

    • This conserved genomic organization suggests strong evolutionary pressure to maintain this arrangement

    • The overlap creates reading frame constraints that influence evolution of both genes

  • Population genomic insights:

    • Population genomic studies of Microcebus ravelobensis have yielded 601,571 variable sites across 56 individuals

    • Analysis of MT-ND4L within this context reveals patterns of selection specific to lemur evolution

    • Evidence suggests demographic history has influenced mitochondrial genetic diversity in this species

Research indicates that Microcebus species underwent population size changes during climatic fluctuations, with population sizes reaching their maximum between the Last Glacial Maximum and the African Humid Period, followed by continuous decline . These demographic changes have likely influenced the evolution of mitochondrial genes including MT-ND4L.

What bioinformatic approaches best identify functional variants in MT-ND4L across species?

Identifying functional variants in MT-ND4L across species requires sophisticated bioinformatic approaches:

  • Sequence-based methods:

    • Multiple sequence alignment using MUSCLE or MAFFT algorithms

    • Calculation of conservation scores (Jensen-Shannon divergence, relative entropy)

    • Identification of co-evolving residues using mutual information analysis

  • Structure-informed approaches:

    • Homology modeling based on resolved Complex I structures

    • Mapping conservation scores onto structural models

    • Molecular dynamics simulations to predict impact of variants

  • Selection analysis:

    • Site-specific dN/dS ratio calculation

    • McDonald-Kreitman test for detecting selection

    • Branch-site models to identify lineage-specific selection

  • Integration with functional data:

    • Correlation of variants with biochemical properties

    • Analysis of variants in context of protein-protein interaction interfaces

    • Assessment of variants associated with disease phenotypes

  • Machine learning applications:

    • Prediction of functional impact using tools like PROVEAN, SIFT, or PolyPhen

    • Development of MT-ND4L-specific predictive models

    • Integration of multiple data types through feature-based classifiers

When studying MT-ND4L variants associated with disease, researchers should be aware that a rare variant in human MT-ND4L (rs28709356 C>T) has shown significant association with Alzheimer's disease (P = 7.3 × 10^-5) , suggesting that even subtle sequence variations can have substantial functional consequences.

How might single-molecule techniques be applied to study MT-ND4L function within Complex I?

Single-molecule techniques offer powerful approaches to study MT-ND4L within its native Complex I environment:

  • Single-molecule FRET (smFRET):

    • Label specific residues in MT-ND4L and adjacent subunits

    • Monitor conformational changes during electron transport

    • Detect heterogeneity in behavior that may be masked in ensemble measurements

  • High-speed atomic force microscopy (HS-AFM):

    • Visualize MT-ND4L movement within Complex I during function

    • Observe structural changes in near-native membrane environments

    • Correlate structural dynamics with functional states

  • Nanoscale thermophoresis:

    • Measure binding affinities between MT-ND4L and other Complex I components

    • Determine thermodynamic parameters of interactions

    • Compare binding properties across species variants

  • Single-molecule force spectroscopy:

    • Probe mechanical stability of MT-ND4L within Complex I

    • Investigate force-dependent conformational changes

    • Map energy landscape of protein-protein interactions

  • Super-resolution microscopy:

    • Visualize MT-ND4L organization within mitochondrial membranes

    • Study clustering behavior and complex assembly

    • Track dynamic redistribution under various conditions

These single-molecule approaches can reveal functional heterogeneity and transient states not detectable through conventional biochemical assays, potentially transforming our understanding of Complex I dynamics .

What emerging technologies might enhance production and characterization of recombinant MT-ND4L?

Emerging technologies promise to overcome current limitations in recombinant MT-ND4L production and characterization:

  • Cell-free protein synthesis:

    • Rapid production without cell growth constraints

    • Direct incorporation of non-natural amino acids for biophysical studies

    • Immediate addition of detergents or nanodiscs for proper folding

  • Nanobody development:

    • Generation of MT-ND4L-specific nanobodies as crystallization chaperones

    • Use of nanobodies to stabilize specific conformational states

    • Application as highly specific detection reagents

  • Cryo-electron tomography:

    • Visualization of MT-ND4L within intact mitochondrial membranes

    • Structural determination in native environment without purification

    • Correlation with functional states

  • Microfluidic approaches:

    • High-throughput screening of expression and purification conditions

    • Rapid assessment of functional parameters with minimal sample consumption

    • Integration with other analytical techniques for comprehensive characterization

  • AI-driven protein design:

    • Prediction of mutations that enhance expression and stability

    • Design of optimized constructs for specific applications

    • Development of novel protein engineering strategies tailored to MT-ND4L

These technologies may particularly benefit research on challenging membrane proteins like MT-ND4L, potentially enabling studies that are currently infeasible with conventional approaches .

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