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The Role of the RanGTPase in Mitotic Spindle Assembly

2011· other· en· W1578992371 on OpenAlexaff
Matthew J. Renshaw, Andrew Wilde

Bibliographic record

VenueEncyclopedia of Life Sciences · 2011
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRanCell biologyMitosisSpindle apparatusImportinPolo-like kinaseMultipolar spindlesSmall GTPaseInterphaseBiologyGTPaseMicrotubuleSpindle pole bodyChemistryNuclear transportCell divisionCytoplasmCell nucleusCell cycleCellBiochemistrySignal transduction

Abstract

fetched live from OpenAlex

Abstract Mitosis is the process whereby a cell separates its paired chromosomes into two new identical daughter cells. To achieve this and maintain the correct amount of deoxyribo nuclic acid (DNA) in the cells, the cell forms a framework called the mitotic spindle onto which the chromosomes attach and then get pulled into the new daughter cells. The mitotic spindle is made up of microtubules and associated proteins. The GTPase Ran, which is important for nuclear import and export, plays important roles in regulating the formation of the mitotic spindle. Ran can bind and hydrolyse guanosine triphosphate (GTP), which enables it to regulate several cellular processes. Generation of Ran‐GTP at the chromosomes creates an intracellular gradient that provides directionality to nuclear cytoplasmic transport during interphase and creates an environment around the chromosomes to facilitate spindle assembly. Key Concepts: Ran is a small GTPase. During interphase, spindle assembly factors bind to Importin‐β and are transported into the nucleus. Ran‐GTP is generated at chromosomes and releases spindle assembly factors from inhibitory binding to Importin‐β. Gradients of Ran‐GTP and released cargo proteins are generated in mitotic cells that are important for regulating many activities.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

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 communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.007
GPT teacher head0.226
Teacher spread0.219 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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