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Record W2032051433 · doi:10.1353/hub.2003.0050

Hypersensitive PCR, Ancient Human mtDNA, and Contamination

2003· article· en· W2032051433 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHuman Biology · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYersinia bacterium, plague, ectoparasites research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMitochondrial DNAAncient DNAPolymerase chain reactionBiologyDNAPolymeraseDNA polymeraseReal-time polymerase chain reactionMolecular biologyMultiple displacement amplificationGeneticsGeneDNA extractionPopulationMedicine

Abstract

fetched live from OpenAlex

When highly efficient polymerase was used with high cycle numbers (50-60), strong amplifications were observed, but negative controls were also unexpectedly amplified in a study of ancient human mtDNA from 2000-year-old skeletons. The results of a series of tests revealed that the hypersensitive polymerase chain reaction (PCR) generated by higher cycles and the presence of contaminant DNA (though at extremely low levels) should be responsible for the amplification of negative controls. We suggest that PCR sensitivity be optimized to take advantage of highly efficient polymerase and at the same time prevent "background DNA" from becoming "contaminant DNA" and obscuring the analysis of authentic ancient DNA. We propose the use of multiple positive controls when amplifying ancient human mtDNA samples to indicate the sensitivity of individual PCR amplifications and to monitor the contamination levels of modern human DNA. This study provides some suggestions as to how to amplify and analyze ancient human mtDNA when unavoidable and extremely tiny amounts of modern human DNA exist.

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.

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)0.000
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 score0.358
Threshold uncertainty score0.573

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.023
GPT teacher head0.313
Teacher spread0.290 · 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