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Record W2281184930

Characterization of Mitochondrial DNA Mutations in Drosophila melanogaster

2014· dissertation· en· W2281184930 on OpenAlexfundno aff
Leslie S. Itsara

Bibliographic record

VenueResearchWorks at the University of Washington (University of Washington) · 2014
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsnot available
FundersNational Cancer InstituteParkinson Society CanadaUniversity of WashingtonMuscular Dystrophy AssociationVanderbilt UniversityMitochondrial Research Guild
KeywordsDrosophila melanogasterMitochondrial DNAGeneticsBiologyGene
DOInot available

Abstract

fetched live from OpenAlex

Mitochondria are vital organelles as they produce the majority of cellular energy in the form of ATP through oxidative phosphorylation (OXPHOS).Mitochondria contain their own genome (mtDNA), which encodes essential respiratory chain proteins that function in OXPHOS along with RNAs that are necessary for the translation of the OXPHOS genes.Mutations in mtDNA cause maternally inherited mitochondrial diseases and somatic mutations are implicated in aging and age-related diseases, such as Parkinson's disease.To explore the pathogenesis of mitochondrial disease due to an mtDNA mutation, we characterized a mutation in NADH dehydrogenase subunit 2 (mt:ND2).We found that ND2 mutants model mitochondrial disease as they exhibit a shortened lifespan, neurodegeneration, and seizures.Additionally, ND2 mutants display complex I specific defects along with decreased mitochondrial membrane potential and ATP levels.Importantly, we show that the ND2 mutation uncouples complex I dependent proton pumping from electron transport and demonstrate a role for ND2 in proton pumping.These studies support the use of Drosophila as a model to study complex I disease and potential complex I therapeutics.In addition to studying mitochondrial disease pathogenesis, I adapted techniques to measure mtDNA mutations in Drosophila, including the Random Mutation Capture Assay and Duplex Sequencing.Utilizing the Random Mutation Capture Assay, I found that the somatic mtDNA mutation patterns in flies are conserved with vertebrates, including the mutation frequency (~10 -5 ) and the age-dependent accumulation of mutations.I also explored factors that influence somatic mtDNA mutations, including reactive oxygen species (ROS), which are thought to be an important contributor to mtDNA mutations.Using the distribution of mutations along with loss of function studies in oxidative stress defense factors, I concluded that oxidative stress is only a minor contributor to the mutation frequency.Instead, errors created during replication of mtDNA are the primary source of somatic mtDNA mutations.After completing these studies, I established the Duplex Sequencing method in flies, which is a next-generation sequencing approach as a more comprehensive and high-throughput technique to measure mtDNA mutations.These studies extend our knowledge of sources that contribute to the mtDNA mutation frequency and support Drosophila as a model to study genetic factors that influence mtDNA mutations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.225
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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