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Record W2976583353 · doi:10.1101/780270

Processive activity of the replicative DNA polymerases in the replisome of live eukaryotic cells

2019· preprint· en· W2976583353 on OpenAlexaff
Nitin Kapadia, Ziad W. El‐Hajj, Huan Zheng, Thomas R. Beattie, Angela Yu, Rodrigo Reyes‐Lamothe

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsMcGill University
Fundersnot available
KeywordsReplisomeOkazaki fragmentsDNA replicationBiologyCell biologyDNA polymerasePre-replication complexSaccharomyces cerevisiaePolymeraseGeneticsEukaryotic DNA replicationDNAGene

Abstract

fetched live from OpenAlex

ABSTRACT DNA replication is carried out by a multi-protein machine called the replisome. In Saccharomyces cerevisiae , the replisome is composed of over 30 different proteins arranged into multiple subassemblies, each performing distinct activities. Synchrony of these activities is required for efficient replication and preservation of genomic integrity. How this is achieved is particularly puzzling at the lagging strand, where current models of the replisome architecture propose turnover of the canonical lagging strand polymerase, Pol δ, at every cycle of Okazaki fragment synthesis. Here we established single-molecule fluorescence microscopy protocols to study the binding kinetics of individual replisome subunits in live S. cerevisiae . Our results show long residence times for most subunits at the active replisome, supporting a model where all subassemblies bind tightly and work in a coordinated manner for extended periods, including Pol δ, hence redefining the architecture of the active eukaryotic replisome.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.219
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2019
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)→Same topicDNA Repair Mechanisms→French-language works237,207→