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Record W2991570826 · doi:10.1101/858746

E2F-dependent genetic oscillators control endoreplication

2019· preprint· en· W2991570826 on OpenAlexaff
Minhee Kim, Nam-Sung Moon

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Chromatin Dynamics
Canadian institutionsMcGill University
FundersUniversität ZürichVanderbilt University
KeywordsEndoreduplicationE2FBiologyCell biologyCyclin-dependent kinaseCell cycleGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Polyploidy is an integral part of development and is associated with cellular stress, aging and pathological conditions. The endoreplication cycle, comprised of successive alternations of G and S phases without cell division, is widely employed to produce polyploid cells. The endocycle is driven by continuous oscillations of Cyclin E/Cdk2 activity, which is governed by E2F transcription factors. In this study, we provide mechanistic insight on how E2F-dependent Cdk oscillations during endocycles are maintained in Drosophila salivary glands. Genetic experiments revealed that an alternative splicing isoform of E2F1, E2F1b, regulates the circuitry of timely S phase entry and exit by activating a subset of E2F target genes. E2F1b regulates the Drosophila ortholog of p27 CIP/KIP -like Cdk inhibitor Dacapo to precisely time S phase entry by controlling the CycE/Cdk2 activity threshold. Upon entry to S phase, E2F1b-dependent PCNA expression establishes a negative feedback loop through the PIP box-mediated degradation of E2F1. Overall, our study uncovers a network of E2F-dependent genetic oscillators that are critical for the periodic transition between G and S phases during endoreplication.

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 integrity0.0000.000
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 head0.005
GPT teacher head0.194
Teacher spread0.188 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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