Recombinant Vampyressa nymphaea NADH-ubiquinone oxidoreductase chain 4L (MT-ND4L)

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Product Specs

Form
Lyophilized powder
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Lead Time
Delivery time may vary depending on the purchase method and location. Please consult your local distributor for specific delivery timeframes.
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Notes
Repeated freezing and thawing is not recommended. Store working aliquots at 4°C for up to one week.
Reconstitution
Prior to opening, we recommend briefly centrifuging the vial to ensure the contents settle to the bottom. Reconstitute the protein with deionized sterile water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50%, which can be used as a reference.
Shelf Life
The shelf life is influenced by various factors including storage condition, buffer composition, temperature, and the protein's inherent stability.
Generally, the shelf life of liquid form is 6 months at -20°C/-80°C. Lyophilized form typically has a shelf life of 12 months at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquoting is necessary 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 preference, 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
Vampyressa nymphaea (Striped yellow-eared bat) (Vampyriscus nymphaea)
Target Names
Target Protein Sequence
MSLTYMNMFMAFTISLLGLLMYRAHMMSSLLCLEGMMLSLFVMMTMTILNTHLTLASMIP IILLVFAACEAALGLSLLVMVSTTYGMDYVQNLNLLQC
Uniprot No.

Target Background

Function
This protein serves as the 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 basic structure and function of MT-ND4L in Vampyressa nymphaea?

MT-ND4L (NADH-ubiquinone oxidoreductase chain 4L) is a protein-coding gene found in the mitochondrial genome of Vampyressa nymphaea (Striped yellow-eared bat). The protein encoded by this gene is part of Complex I of the mitochondrial respiratory chain, specifically involved in the first step of the electron transport process during oxidative phosphorylation. It facilitates the transfer of electrons from NADH to ubiquinone, contributing to the creation of an electrochemical gradient across the inner mitochondrial membrane that drives ATP production .

The protein consists of 98 amino acids with the sequence: MSLTYMNMFMAFTISLLGLLMYRAHMMSSLLCLEGMLSLFVMMTMTILNTHTLASMIPIILLVFAACEAALGLSLLVMVSTTYGMDYVQNLNLLQC . This small but crucial component of Complex I is embedded in the inner mitochondrial membrane and plays a vital role in cellular energy production.

What experimental approaches are commonly used to study recombinant MT-ND4L?

Research on recombinant MT-ND4L typically employs the following methodological approaches:

  • Protein Expression Systems: Recombinant MT-ND4L can be expressed in various systems including bacterial (E. coli), yeast, insect cells, or mammalian cells. For proper folding and function, mammalian expression systems are often preferred as they provide appropriate post-translational modifications.

  • Purification Techniques:

    • Affinity chromatography using histidine or other fusion tags

    • Ion exchange chromatography

    • Size exclusion chromatography

    • The protein is typically stored in Tris-based buffer with 50% glycerol at -20°C or -80°C for extended storage

  • Functional Assays:

    • NADH oxidation assays

    • Ubiquinone reduction assays

    • Electron transport chain activity measurements

    • Membrane potential assessments using fluorescent probes

  • Structural Studies:

    • Computational modeling based on homologous proteins

    • Circular dichroism for secondary structure analysis

    • NMR or X-ray crystallography (though challenging for membrane proteins)

How do researchers verify the identity and purity of recombinant MT-ND4L preparations?

Verification of recombinant MT-ND4L identity and purity involves multiple complementary approaches:

  • SDS-PAGE: To confirm the molecular weight (approximately 10.5 kDa for MT-ND4L)

  • Western Blot: Using specific antibodies against MT-ND4L or any fusion tags

  • Mass Spectrometry:

    • MALDI-TOF to confirm molecular weight

    • Liquid chromatography-mass spectrometry (LC-MS/MS) for peptide sequence verification

  • Functional Activity Tests: Assessing NADH oxidation and ubiquinone reduction capabilities

  • Protein Concentration Determination:

    • Bradford or BCA assays for total protein

    • Spectrophotometric analysis at A280

  • Purity Assessment:

    • High-performance liquid chromatography (HPLC)

    • Capillary electrophoresis

The typical purity standard for research applications is >90%, with defined storage conditions (Tris-based buffer with 50% glycerol) to maintain stability .

How do mutations in MT-ND4L affect mitochondrial function and metabolic profiles?

Mutations in MT-ND4L can significantly impact mitochondrial function and cellular metabolism through several mechanisms:

  • Complex I Activity Impairment: Mutations can reduce electron transfer efficiency, decreasing ATP production and increasing reactive oxygen species (ROS) generation.

  • Metabolomic Alterations: Studies have shown that MT-ND4L mutations are associated with significant changes in metabolite ratios, particularly affecting glycerophospholipids. For example, genome-wide association studies have identified the variant mt10689 G>A (rs879102108) in MT-ND4L as significantly associated with multiple glycerophospholipid ratios .

  • Tissue-Specific Effects: The impact of MT-ND4L mutations varies by tissue type, with high-energy demand tissues (brain, retina, cardiac muscle) typically showing more pronounced effects.

MT-ND4L VariantPositionChange TypeAssociated Metabolite Ratioβ ValueP-valueMetabolite Classes
rs87910210810689G>A (Missense)PC ae C34:2/PC aa C36:60.6371.92×10⁻⁸Glycerophospholipid/glycerophospholipid
rs87910210810689G>A (Missense)PC ae C36:3/PC aa C36:60.6375.12×10⁻⁸Glycerophospholipid/glycerophospholipid
rs87910210810689G>A (Missense)PC ae C34:3/PC aa C36:60.5891.44×10⁻⁷Glycerophospholipid/glycerophospholipid
-10645T>CSM:C26:0/PC aa C36:50.4781.93×10⁻⁷Sphingolipid/glycerophospholipid

This data demonstrates that MT-ND4L variants consistently affect phospholipid metabolism, suggesting altered membrane dynamics or signaling pathways may be consequential effects of MT-ND4L dysfunction .

What are the optimal experimental conditions for studying interactions between recombinant MT-ND4L and other Complex I components?

Studying protein-protein interactions within Complex I requires specialized approaches due to the hydrophobic nature of MT-ND4L and other components:

  • Reconstitution Systems:

    • Phospholipid nanodiscs provide a native-like membrane environment

    • Liposome incorporation with defined lipid composition (cardiolipin content is particularly important)

    • Detergent micelles (using mild detergents like DDM or digitonin)

  • Interaction Analysis Methods:

    • Cross-linking coupled with mass spectrometry

    • Blue native PAGE for intact complex analysis

    • Förster resonance energy transfer (FRET) between labeled components

    • Surface plasmon resonance with immobilized components

    • Hydrogen-deuterium exchange mass spectrometry

  • Environmental Parameters for Optimal Results:

    • pH: 7.2-7.4

    • Temperature: 30-37°C (species-dependent)

    • Buffer: Typically phosphate or HEPES with physiological salt concentration

    • Reducing conditions: Addition of glutathione or DTT

    • Substrate concentrations: NADH (50-200 μM), ubiquinone analogs (10-100 μM)

  • Data Analysis Approaches:

    • Binding kinetics determination (kon, koff, KD)

    • Thermodynamic parameters (ΔH, ΔS, ΔG)

    • Molecular dynamics simulations to predict interaction interfaces

How can researchers differentiate between functional effects specific to Vampyressa nymphaea MT-ND4L versus conserved functions across species?

Distinguishing species-specific functional characteristics from conserved functions requires systematic comparative approaches:

  • Sequence Alignment and Analysis:

    • Multiple sequence alignment of MT-ND4L across mammalian species

    • Identification of conserved domains versus variable regions

    • Evolutionary rate analysis to detect signatures of selection

  • Experimental Comparison Strategies:

    • Heterologous expression of MT-ND4L from different species

    • Chimeric protein construction (swapping domains between species)

    • Site-directed mutagenesis of species-specific residues

  • Functional Comparative Assays:

    • Complex I activity measurements across species

    • Electron transfer kinetics

    • ROS production comparative analysis

    • Membrane potential establishment efficiency

  • Structural Biology Approaches:

    • Comparative modeling based on resolved structures

    • Analysis of species-specific structural features

    • Molecular dynamics simulations under varying conditions

A comprehensive comparison should include phylogenetically related bat species, other mammalian reference species, and when possible, human MT-ND4L to provide broader context for functional conservation or divergence.

What are the key methodological challenges in working with recombinant MT-ND4L and how can they be addressed?

Working with recombinant MT-ND4L presents several technical challenges:

  • Protein Aggregation and Misfolding:

    • Challenge: As a hydrophobic membrane protein, MT-ND4L tends to aggregate during expression and purification.

    • Solution: Use specialized expression systems like C41(DE3) or C43(DE3) E. coli strains; add mild detergents during purification; employ fusion partners like MBP or SUMO; consider nanodiscs for proper folding.

  • Low Expression Yields:

    • Challenge: Mitochondrial-encoded proteins often express poorly in heterologous systems due to different codon usage and toxic effects.

    • Solution: Codon optimization for the expression host; use inducible systems with tight regulation; lower induction temperature (16-18°C); consider insect cell or cell-free expression systems.

  • Functional Assessment:

    • Challenge: As part of a multi-subunit complex, MT-ND4L alone may not display measurable activity.

    • Solution: Co-express with interacting partners; reconstitute minimal functional units; use indirect activity measurements; assess binding to known partners.

  • Protein Stability:

    • Challenge: The protein may rapidly degrade or lose structural integrity during storage.

    • Solution: Store at -80°C in buffer containing 50% glycerol; avoid repeated freeze-thaw cycles; add protease inhibitors; consider lyophilization for long-term storage .

  • Analytical Limitations:

    • Challenge: Small size (~10.5 kDa) makes some analytical techniques challenging.

    • Solution: Use specialized SDS-PAGE systems for small proteins; employ LC-MS/MS for validation; consider native MS approaches.

How can researchers design experiments to investigate the role of MT-ND4L in metabolic disorders identified through GWAS studies?

Based on the associations identified in metabolomic studies , researchers can design experiments to investigate MT-ND4L's role in metabolic disorders:

  • Cell Model Systems Development:

    • CRISPR/Cas9 knock-in of specific mutations (e.g., rs879102108 G>A) in cell lines

    • Cybrid cell lines containing patient-derived mitochondria with MT-ND4L variants

    • iPSC-derived models from patients with metabolic disorders and MT-ND4L mutations

  • Metabolic Flux Analysis:

    • Stable isotope labeling (¹³C, ¹⁵N) to track metabolite fates

    • Seahorse analysis for respiratory parameters

    • NMR-based metabolomics focused on glycerophospholipid metabolism

  • Lipidomic Profiling:

    • Targeted lipidomics focusing on glycerophospholipids and sphingolipids

    • Membrane composition analysis

    • Lipid raft isolation and characterization

  • Mechanistic Studies Design:

    • Complementation experiments with wild-type MT-ND4L

    • Pharmacological rescue attempts (e.g., with complex I bypass strategies)

    • Investigation of retrograde signaling from mitochondria to nucleus

  • Analytical Framework:

Experimental ApproachMeasurementsExpected Outcomes for Analysis
Seahorse AnalysisOCR, ECAR, SRCQuantitative respiratory function parameters
Targeted MetabolomicsConcentration of PC, PE, SM speciesLipid profile changes correlating with GWAS findings
Isotope TracingLabeling patterns in glycerolipidsAltered synthetic routes or turnover rates
Membrane StudiesFluidity, permeability, organizationPhysical changes to cellular membranes
ProteomicsComplex I assembly, stabilitySecondary effects on respiratory complex formation

What are the appropriate animal models for studying MT-ND4L function and dysfunction in vivo?

Selecting appropriate animal models for MT-ND4L studies requires consideration of several factors:

  • Challenges in Mitochondrial Gene Modification:

    • Mitochondrial DNA is difficult to manipulate using standard genetic engineering

    • Multiple copies of mtDNA per cell complicate achieving homoplasmy

    • Maternal inheritance pattern affects breeding strategies

  • Recommended Model Systems:

    a) Mouse Models:

    • Mitochondrial mutator mice (expressing error-prone mtDNA polymerase)

    • Conplastic mice (nuclear genome from one strain, mitochondria from another)

    • MitoMouse models with heteroplasmy for specific mtDNA mutations

    b) Drosophila melanogaster:

    • Easier mitochondrial manipulation

    • Well-characterized mitochondrial biology

    • Shorter lifespan facilitates aging studies

    c) Caenorhabditis elegans:

    • Transparent body allows in vivo mitochondrial imaging

    • Well-characterized mitochondrial biology

    • Genetic tractability

    d) Zebrafish (Danio rerio):

    • Vertebrate model with optical transparency in early stages

    • Allows for high-throughput screening

    • Cardiac and neurological phenotypes easily assessed

  • Phenotypic Assessment Strategies:

    • Metabolic profiling focusing on lipids identified in human studies

    • Tissue-specific functional assays (particularly for high-energy demand tissues)

    • Aging studies to detect progressive phenotypes

    • Stress tests to reveal conditional phenotypes

  • Ethical and Practical Considerations:

    • Start with cellular and invertebrate models when possible

    • Use vertebrate models only when necessary for translational insights

    • Consider heteroplasmy levels in study design and interpretation

    • Implement longitudinal studies to capture age-dependent effects

How does research on Vampyressa nymphaea MT-ND4L inform our understanding of human mitochondrial disorders?

Research on MT-ND4L from Vampyressa nymphaea provides valuable insights for human mitochondrial disease research:

  • Evolutionary Conservation Analysis:

    • Despite evolutionary distance, key functional domains of MT-ND4L are conserved across mammals

    • Comparative analysis can identify critical residues that, when mutated, are likely pathogenic

    • Bat longevity despite high metabolic rates makes them interesting models for mitochondrial aging studies

  • Pathogenic Mutation Insights:

    • The T10663C (Val65Ala) mutation in human MT-ND4L associated with Leber hereditary optic neuropathy (LHON) affects a residue that may be conserved across species

    • Comparative functional analysis can reveal why certain mutations are pathogenic while others are tolerated

  • Metabolic Pathway Involvement:

    • Studies showing MT-ND4L variants affecting glycerophospholipid and sphingolipid metabolism suggest similar pathways may be affected in human mitochondrial disorders

    • These pathways can be targeted for biomarker discovery and therapeutic development

  • Cross-Species Mitochondrial Function Comparison:

AspectVampyressa nymphaeaHumansImplications
Complex I StructureSimilar core structureSimilar core structureConserved functional domains
Metabolic RateHigher metabolic rateLower metabolic rateDifferent tolerance to dysfunction
LifespanRelatively long for metabolic rateLongInsights into mitochondrial protection mechanisms
mtDNA Mutation RateVariable by speciesRelatively stableDifferent selective pressures
Disease ManifestationLess characterizedWell-documented syndromesComparative pathology opportunities

What techniques can be used to assess the pathogenicity of novel MT-ND4L variants identified in clinical settings?

Evaluating the pathogenicity of novel MT-ND4L variants requires a multi-faceted approach:

  • In Silico Prediction Methods:

    • Evolutionary conservation analysis across species

    • Protein structure prediction and stability assessment

    • Machine learning algorithms trained on known pathogenic mutations

    • Molecular dynamics simulations to predict structural changes

  • Functional Characterization:

    • Cybrid cell lines containing patient mtDNA

    • Measurement of complex I assembly and activity

    • ROS production quantification

    • Membrane potential assessment

    • ATP synthesis capacity

  • Metabolomic Profiling:

    • Targeted analysis of phospholipids and sphingolipids based on known associations

    • Broader metabolomic screening to identify novel biomarkers

    • Isotope tracing studies to identify altered metabolic fluxes

  • Clinical Correlation Studies:

    • Heteroplasmy level determination in different tissues

    • Correlation of biochemical findings with clinical phenotypes

    • Family studies to track segregation with disease

    • Longitudinal studies to assess progression

  • Experimental Validation Framework:

ApproachPurposeOutcome Measure
Conservation AnalysisAssess evolutionary importanceConSurf score, PhyloP score
Structural ModelingPredict structural impactRMSD from wild-type, energy change
Cybrid StudiesDirect functional assessmentComplex I activity (% of control)
Patient FibroblastsPatient-specific cellular phenotypeATP production, ROS levels
MetabolomicsBiochemical consequenceAltered metabolite ratios

How can findings from basic MT-ND4L research be translated into potential therapeutic strategies for mitochondrial diseases?

Translating basic research on MT-ND4L into therapeutic approaches involves several strategic pathways:

  • Gene Therapy Approaches:

    • Allotopic expression (nuclear expression of mitochondrial genes)

    • Mitochondria-targeted nucleic acid delivery systems

    • CRISPR/Cas9-based approaches for heteroplasmy shifting

    • RNA-based therapeutics to modulate MT-ND4L expression or processing

  • Metabolic Bypass Strategies:

    • Alternative electron carriers (e.g., idebenone, EPI-743)

    • Metabolic rewiring to reduce dependence on complex I

    • Supplementation with metabolites identified in metabolomic studies

    • Targeting lipid metabolism pathways affected by MT-ND4L dysfunction

  • Mitochondrial Quality Control Enhancement:

    • Stimulation of mitophagy to remove dysfunctional mitochondria

    • Upregulation of mitochondrial biogenesis

    • Modulation of fusion/fission dynamics

    • Proteostasis enhancement approaches

  • Translational Research Pipeline for MT-ND4L Therapies:

Research StageApproachMetrics for Success
Target ValidationEstablish causal role of MT-ND4L variantClear genotype-phenotype correlation
Assay DevelopmentHigh-throughput screening compatible assaysZ' factor >0.5 for primary assays
Compound ScreeningTest libraries for rescue of cellular phenotypes% restoration of function, cell viability
Lead OptimizationMedicinal chemistry to improve promising hitsImproved potency, ADME properties
Preclinical TestingAnimal models of MT-ND4L dysfunctionBiomarker normalization, phenotype rescue
Clinical TranslationPatient selection based on genetic and biochemical profilingStratification based on metabolomic patterns
  • Biomarker Development:

    • Glycerophospholipid and sphingolipid ratios as diagnostic markers

    • Metabolomic profiles for patient stratification

    • Monitoring markers for treatment response

    • Predictive markers for disease progression

What emerging technologies will advance our understanding of MT-ND4L structure-function relationships?

Several cutting-edge technologies are poised to enhance MT-ND4L research:

  • Advanced Structural Biology Techniques:

    • Cryo-electron microscopy at near-atomic resolution for membrane protein complexes

    • Integrative structural biology combining multiple data sources

    • Microcrystal electron diffraction for small membrane proteins

    • Computational approaches like AlphaFold for improved structure prediction

  • Single-Molecule Techniques:

    • Single-molecule FRET for conformational dynamics

    • Optical tweezers for mechanical properties of complexes

    • Patch-clamp studies of reconstituted complexes

    • Super-resolution microscopy for in situ visualization

  • Advanced Genetic Engineering:

    • Mitochondrially-targeted base editors

    • Improved mitochondrial transfection methods

    • Heteroplasmy manipulation technologies

    • Synthetic biology approaches for minimal respiratory complexes

  • Systems Biology Integration:

    • Multi-omics data integration

    • Network analysis of mitochondrial-nuclear interactions

    • Machine learning for prediction of variant effects

    • Computational modeling of respiratory complex dynamics

  • Emerging Technology Comparison:

TechnologyCurrent LimitationsExpected AdvancesPotential Impact on MT-ND4L Research
Cryo-EMResolution limits for small proteinsImproved detectors, processingComplete structure of complex I with MT-ND4L interactions
Base EditingMitochondrial delivery challengesImproved targeting methodsDirect modification of MT-ND4L in vivo
MetabolomicsLimited temporal resolutionReal-time metabolic profilingDynamic impact of MT-ND4L function on metabolism
AI/MLLimited training dataIntegrated multi-modal dataAccurate prediction of variant pathogenicity
OrganoidsLimited mitochondrial maturityEnhanced differentiation protocolsHuman tissue-specific MT-ND4L function assessment

How can interdisciplinary approaches enhance our understanding of MT-ND4L's role in metabolism and disease?

Interdisciplinary collaboration provides multiple perspectives that can accelerate MT-ND4L research:

  • Integrative Research Frameworks:

    • Combining evolutionary biology, structural biology, and genetics

    • Integrating computational modeling with experimental validation

    • Merging clinical observations with basic science insights

    • Connecting metabolomics with functional genomics

  • Cross-Disciplinary Methodological Approaches:

    • Systems biology modeling of mitochondrial dynamics

    • Artificial intelligence for pattern recognition in complex data

    • Biophysical approaches to study protein dynamics

    • Bioengineering perspectives for therapeutic development

  • Collaborative Research Strategies:

    • Multi-center studies with standardized protocols

    • Shared resources and data repositories

    • Interdisciplinary training programs

    • Joint development of research tools and reagents

  • Interdisciplinary Value Addition:

DisciplineContribution to MT-ND4L ResearchSynergistic Value
Evolutionary BiologyConservation analysis, selection pressure insightsIdentification of critical functional domains
BiophysicsMembrane protein dynamics, electron transfer mechanismsDetailed mechanistic understanding of function
MetabolomicsComprehensive metabolic impact assessmentBiomarker discovery, therapeutic targets
Clinical GeneticsPatient phenotyping, variant collectionTranslational relevance, disease mechanisms
Computational BiologyStructure prediction, systems modelingIntegration of diverse data types
  • Convergent Research Opportunities:

    • Comparative studies across species with different metabolic rates

    • Mapping the impact of MT-ND4L variants on broader cellular networks

    • Development of integrated diagnostic approaches

    • Species-specific conservation patterns as guides for therapeutic targets

What methodological improvements are needed to better understand the tissue-specific effects of MT-ND4L mutations?

Understanding tissue-specific effects of MT-ND4L mutations requires methodological advancements:

  • Advanced Tissue Modeling Systems:

    • Tissue-specific organoids with controlled MT-ND4L variants

    • Multi-tissue-on-a-chip systems to study organ interactions

    • 3D bioprinting with patient-derived cells

    • In situ engineering of mtDNA in differentiated tissues

  • Spatial Biology Approaches:

    • Single-cell metabolomics to detect cellular heterogeneity

    • Spatial transcriptomics to map nuclear responses to MT-ND4L dysfunction

    • In situ detection of respiratory complex assembly

    • Tissue clearing methods for 3D visualization of mitochondrial networks

  • Physiological Assessment Methods:

    • Tissue-specific in vivo imaging of mitochondrial function

    • Non-invasive assessment of tissue energetics (e.g., 31P-MRS)

    • Correlation of heteroplasmy levels with tissue dysfunction

    • Functional challenge tests for tissue-specific reserve capacity

  • Required Methodological Improvements:

Current LimitationNeeded AdvancementExpected Impact
Poor mitochondrial DNA manipulationImproved mitochondrial genome editingPrecise modeling of mutations
Limited access to affected tissuesNon-invasive imaging biomarkersEarly detection, monitoring
Variable heteroplasmy effectsSingle-cell resolution techniquesUnderstanding of threshold effects
Difficulty modeling tissue interactionsMulti-tissue systemsComprehensive disease understanding
Limited temporal understandingLongitudinal study designsDisease progression insights
  • Integration Frameworks:

    • Combined omics approaches at tissue level

    • Computational models of tissue-specific energy requirements

    • Correlation of tissue-specific nuclear gene expression with MT-ND4L function

    • Patient stratification based on tissue-specific biomarkers

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