MétaCan
Menu
← Back to cohort
Record W4391260966 · doi:10.1101/2024.01.25.577258

CDK-4 regulates nucleolar size and metabolism at the cost of late-life fitness in <i>C. elegans</i>

2024· preprint· en· W4391260966 on OpenAlexafffund
Rachel Webster, Maria L. Quintana, Ran Kafri, W. Brent Derry

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Aging, and Longevity in Model Organisms
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsCyclin-dependent kinaseBiologyCaenorhabditis elegansCell biologyCell cycleAnabolismOrganelleLongevityCyclin-dependent kinase 6Cell growthCyclinKinaseCellGeneticsBiochemistryGene

Abstract

fetched live from OpenAlex

Abstract An outstanding question in biology concerns mechanisms of size control in organs, cells, and organelles. Size impacts metabolic efficiency, surface area-to-volume ratio, and environmental adaptation, which are all required for optimal function. Cyclin-dependent kinase 4 (CDK4), traditionally recognized for its role in cell cycle progression, has gained increasing support for cell cycle-independent roles. Previously, we described a mechanism of cell size control involving a CDK4 and p38 MAPK circuitry that dictates target cell size. In this study, we target the CDK4/6 ortholog CDK-4 in the nematode worm Caenorhabditis elegans to describe functional consequences of changing biological size in vivo . Our data suggest that CDK-4 regulates nucleolar size and anabolic metabolism independent from cell cycle progression. When size and metabolism are increased, we report enhanced thermotolerance early in life but accelerated aging and reduced longevity late in life, suggesting a novel function of CDK-4 in somatic maintenance and organism health.

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 score0.002
Threshold uncertainty score0.006

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)0.0020.000

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 head0.007
GPT teacher head0.203
Teacher spread0.196 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)→Same topicGenetics, Aging, and Longevity in Model Organisms→French-language works237,207→