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Record W1971008570 · doi:10.1093/nar/gkm010

DNA supercoiling suppresses real-time PCR: a new approach to the quantification of mitochondrial DNA damage and repair

2007· article· en· W1971008570 on OpenAlexafffund
Jinsong Chen, Fred F. Kadlubar, Junjian Z. Chen

Bibliographic record

VenueNucleic Acids Research · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsMcGill University Health Centre
FundersMcGill University Health CentreMcGill University
KeywordsDNA supercoilBiologyMitochondrial DNADNADNA damageMolecular biologyReal-time polymerase chain reactionNucleic acidDNA repairDenaturation (fissile materials)Nuclear DNABiophysicsBiochemistryGeneChemistryDNA replication

Abstract

fetched live from OpenAlex

As a gold standard for quantification of starting amounts of nucleic acids, real-time PCR is increasingly used in quantitative analysis of mtDNA copy number in medical research. Using supercoiled plasmid DNA and mtDNA modified both in vitro and in cancer cells, we demonstrated that conformational changes in supercoiled DNA have profound influence on real-time PCR quantification. We showed that real-time PCR signal is a positive function of the relaxed forms (open circular and/or linear) rather than the supercoiled form of DNA, and that the conformation transitions mediated by DNA strand breaks are the main basis for sensitive detection of the relaxed DNA. This new finding was then used for sensitive detection of structure-mediated mtDNA damage and repair in stressed cancer cells, and for accurate quantification of total mtDNA copy number when all supercoiled DNA is converted into the relaxed forms using a prior heat-denaturation step. The new approach revealed a dynamic mtDNA response to oxidative stress in prostate cancer cells, which involves not only early structural damage and repair but also sustained copy number reduction induced by hydrogen peroxide. Finally, the supercoiling effect should raise caution in any DNA quantification using real-time PCR.

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)0.002
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 score0.183
Threshold uncertainty score0.422

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.050
GPT teacher head0.330
Teacher spread0.281 · 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

Citations98
Published2007
Admission routes2
Has abstractyes

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