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Record W7125213246 · doi:10.5061/dryad.mcvdnck8n

Blocking microtubule deacetylation inhibits anaphase chromosome movements in crane-fly spermatocytes

2025· dataset· en· W7125213246 on OpenAlexaff

Bibliographic record

VenueDRYAD · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsYork University
Fundersnot available
KeywordsKinetochoreAnaphaseMicrotubuleAcetylationChromosome segregationHDAC6Spindle checkpointMetaphase

Abstract

fetched live from OpenAlex

Chromosome movement speeds during anaphase are regulated by depolymerization of microtubules. Several models describe chromosome movement during cell division but none of them consider post-translational modifications of tubulin, even though such modifications help specify microtubules for unique cellular activities. Among these modifications, acetylation of Lysine 40 is one of the common post-translational modifications. Acetylation of microtubules greatly improves their stability, especially when subjected to cooling or drug treatment. Since kinetochore microtubules are acetylated in a variety of eukaryote cells, we wondered whether deacetylation of kinetochore microtubules was necessary in order for microtubules to be able to depolymerize during anaphase. HDAC6 (Histone Deacetylase 6) deacetylates acetylated tubulin. To study whether tubulin must be deacetylated during anaphase, we added to living cells two different HDAC6 inhibitors (Tubacin and Trichostatin A), separately, as chromosomes moved poleward in anaphase. Both HDAC6 inhibitors altered chromosome movement: chromosomes either completely stopped moving, or moved more slowly, or sometimes continued movement without speed changes. The effects of the inhibitors on chromosome movement are reversible: half-bivalents either restarted anaphase movement by themselves or resumed their poleward movement after the inhibitor was washed out. We suggest that kinetochore microtubules need to be deacetylated in order for normal anaphase movements to occur.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.061
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.011
GPT teacher head0.283
Teacher spread0.272 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2025
Admission routes1
Has abstractyes

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