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Record W2170568210 · doi:10.1093/genetics/154.3.1281

Use of a Small Palindrome Genetic Marker to Investigate Mechanisms of Double-Strand-Break Repair in Mammalian Cells

2000· article· en· W2170568210 on OpenAlexaff
Julang Li, Mark D. Baker

Bibliographic record

VenueGenetics · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHeteroduplexBiologyGeneticsHomologous recombinationPalindromeDNARecombinationDNA repairGeneGenome

Abstract

fetched live from OpenAlex

We examined mechanisms of mammalian homologous recombination using a gene targeting assay in which the vector-borne region of homology to the chromosome bore small palindrome insertions that frequently escape mismatch repair when encompassed within heteroduplex DNA (hDNA). Our assay permitted the product(s) of each independent recombination event to be recovered for molecular analysis. The results revealed the following: (i) vector-borne double-strand break (DSB) processing usually did not yield a large double-strand gap (DSG); (ii) in 43% of the recombinants, the results were consistent with crossover at or near the DSB; and (iii) in the remaining recombinants, hDNA was an intermediate. The sectored (mixed) genotypes observed in 38% of the recombinants provided direct evidence for involvement of hDNA, while indirect evidence was obtained from the patterns of mismatch repair (MMR). Individual hDNA tracts were either long or short and asymmetric or symmetric on the one side of the DSB examined. Clonal analysis of the sectored recombinants revealed how vector-borne and chromosomal markers were linked in each strand of individual hDNA intermediates. As expected, vector-borne and chromosomal markers usually resided on opposite strands. However, in one recombinant, they were linked on the same strand. The results are discussed with particular reference to the double-strand-break repair (DSBR) model of recombination.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.127
Threshold uncertainty score1.000

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 head0.022
GPT teacher head0.226
Teacher spread0.203 · 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.

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

Citations20
Published2000
Admission routes1
Has abstractyes

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