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Record W2522648252 · doi:10.1080/21541248.2016.1234430

Regulation of Rho GTPases from the lateral sides of migrating cells

2016· review· en· W2522648252 on OpenAlexafffund
Liang Zhang, Jeffrey L. Wrana

Bibliographic record

VenueSmall GTPases · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsUniversity of TorontoLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
FundersCanadian Institutes of Health ResearchTerry Fox Research Institute
KeywordsCell polarityPolarity (international relations)RHOABiologyCell biologyGTPaseCell migrationFocal adhesionSignal transductionCell

Abstract

fetched live from OpenAlex

Migratory polarity and epithelial polarity share many common regulatory mechanisms. Rho GTPases play a key role in modulating cell polarity, which in migrating cells has been conventionally studied along the solitary front-rear axis. In recent work, we discovered that Prickle1 (Pk1), a core com-ponent of planar cell polarity (PCP) signaling, mediates a novel lateral signaling pathway that coordinates multi-axial protrusive activities from the lateral cortex of migrating cancer cells. We identified that Arhgap21 and 23 are essential effectors of Pk1, and that lateral signaling regulates RhoA, actomyosin and focal adhesion dynamics. Interestingly, we showed that lateral signaling coordinates shape dynamics that are critical during cell migration and function orthogonally to front-rear directional polarity.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.805
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.032
GPT teacher head0.278
Teacher spread0.246 · 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.

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

Citations10
Published2016
Admission routes2
Has abstractyes

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