MétaCan
Menu
Back to cohort
Record W2052319774 · doi:10.1074/jbc.m109761200

In Vitro (CTG)·(CAG) Expansions and Deletions by Human Cell Extracts

2002· article· en· W2052319774 on OpenAlexaff
Gagan B. Panigrahi, John D. Cleary, Christopher E. Pearson

Bibliographic record

VenueJournal of Biological Chemistry · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsOkazaki fragmentsTrinucleotide repeat expansionDNA replicationBiologyReplication (statistics)GeneticsReplication factor CDNAReplication timingHeLaMutationIn vitroMolecular biologyCell biologyControl of chromosome duplicationEukaryotic DNA replicationVirologyGene

Abstract

fetched live from OpenAlex

The mechanism of disease-associated (CTG)*(CAG) expansion may involve DNA replication slippage, replication direction, Okazaki fragment processing, recombination, or repair. A length-dependent bias for expansions is observed in humans affected by a trinucleotide repeat-associated disease. We developed an assay to test the effect of replication direction on (CTG)*(CAG) instabilities incurred during in vitro (SV40) DNA replication mediated by human cell extracts. This system recapitulates the bias for expansions observed in humans. Replication by HeLa cell extracts generated expansions and deletions that depended upon repeat tract length and the direction of replication. Templates with 79 repeats yielded predominantly expansions (CAG as lagging strand template) or predominantly deletions (CTG as lagging strand template). Templates containing 17 repeats were stable. Thus, replication direction determined the type of mutation. These results provide new insights into the orientation of replication effect upon repeat stability. This system will be useful in determining the contribution of specific human proteins to (CTG)*(CAG) expansions.

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 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 score0.007
Threshold uncertainty score0.445

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 head0.018
GPT teacher head0.245
Teacher spread0.227 · 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

Citations58
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Biological ChemistrySame topicDNA Repair MechanismsFrench-language works237,207