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Record W2790267714 · doi:10.1021/acschembio.8b00072

DNA Polymerase θ Increases Mutational Rates in Mitochondrial DNA

2018· article· en· W2790267714 on OpenAlexaff
Simon Wisnovsky, Tanja Sack, David J. Pagliarini, Rebecca R. Laposa, Shana O. Kelley

Bibliographic record

VenueACS Chemical Biology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsUniversity of Toronto
FundersNational Institute of General Medical SciencesNational Institutes of Health
KeywordsMitochondrial DNADNA polymeraseBiologyPolymeraseDNA replicationMutationMitochondrionHuman mitochondrial geneticsGeneticsMolecular biologyDNA polymerase IICell biologyDNAGenePolymerase chain reactionReverse transcriptase

Abstract

fetched live from OpenAlex

Replication and maintenance of mitochondrial DNA (mtDNA) is essential for cellular function, yet few DNA polymerases are known to function in mitochondria. Here, we conclusively demonstrate that DNA polymerase θ (Polθ) localizes to mitochondria and explore whether this protein is overexpressed in patient-derived cells and tumors. Polθ appears to play an important role in facilitating mtDNA replication under conditions of oxidative stress, and this error-prone polymerase was found to introduce mutations into mtDNA. In patient-derived cells bearing a pathogenic mtDNA mutation, Polθ expression levels were increased, indicating that the oxidative conditions in these cells promote higher expression levels for Polθ. Heightened Polθ expression levels were also associated with elevated mtDNA mutation rates in a selected panel of human tumor tissues, suggesting that this protein can influence mutational frequencies in tumors. The results reported indicate that the mitochondrial function of Polθ may have relevance to human disease.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.025
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.271
Teacher spread0.260 · 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 teacher head, 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

Citations34
Published2018
Admission routes1
Has abstractyes

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