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Record W2039417635 · doi:10.1002/bies.20473

Extraneuronal roles of cyclin‐dependent kinase 5

2006· review· en· W2039417635 on OpenAlexaff
Jesusa L. Rosales, Ki‐Young Lee

Bibliographic record

VenueBioEssays · 2006
Typereview
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCell biologyCyclinKinaseBiologyCyclin-dependent kinase 4Cyclin-dependent kinase 2Protein kinase AGeneticsCell cycleCell

Abstract

fetched live from OpenAlex

Cyclin-dependent kinase 5 (Cdk5) is recognized as an essential molecule in the brain, where it regulates several neuronal activities, including cytoskeletal remodeling and synaptic transmission. While activity of Cdk5 has primarily been associated with neurons, there are now substantial data indicating that the kinase's activity and function are more general. An increasing body of evidence has established Cdk5 kinase activity, the presence of the Cdk5 activators, p35 and p39, and Cdk5 functions in non-neuronal cells, including myocytes, pancreatic beta-cells, monocytic and neutrophilic leucocytes, glial cells and germ cells. In this review, we present the diverse roles of Cdk5 in several extraneuronal paradigms. The unique properties of each of the different cell types appear to involve distinct means of Cdk5 regulation and function. The potential mechanisms through which Cdk5 regulates extraneuronal cell activities such as exocytosis, gene transcription, wound healing and senescence are discussed.

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: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.043
GPT teacher head0.327
Teacher spread0.284 · 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
GenreReview

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

Citations105
Published2006
Admission routes1
Has abstractyes

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