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Record W2089727050 · doi:10.1055/s-2006-948554

Integrins in the Ovary

2006· review· en· W2089727050 on OpenAlexaff
Danielle Monniaux, Clotilde Huet-Calderwood, F. Le Bellego, Stéphane Fabre, Philippe Monget, David Calderwood

Bibliographic record

VenueSeminars in Reproductive Medicine · 2006
Typereview
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsMcGill UniversityChristie (Canada)
Fundersnot available
KeywordsIntegrinCell biologyDisintegrinExtracellular matrixBiologyFollicular atresiaCell adhesionReceptorOvarian follicleOvaryMatrix metalloproteinaseCellEndocrinologyMetalloproteinaseBiochemistry

Abstract

fetched live from OpenAlex

Integrins are the major receptors mediating adhesion to the extracellular matrix. Following ligand binding, conformational changes of integrins induce the recruitment of multiple signaling and scaffolding proteins that connect integrin tails to the actin cytoskeleton and permit activation of signaling pathways regulating cell proliferation, apoptosis, differentiation, and migration. In the ovary, extracellular matrix components present in the follicular basement membrane, around follicular cells, and in the follicular fluid participate in the regulation of follicular development, and a role of integrins in this process is strongly suggested. We discuss available data on integrin expression in ovary, integrin function in granulosa cells, and the possible involvement of integrins in follicular growth, atresia, and luteinization. We also discuss the potential role of oocyte integrins as receptors for sperm ADAMs (a disintegrin and metalloproteinase) in fertilization and the cooperation of integrins with proteinases in regulating proliferation, adhesion, migration, and invasion of ovarian surface epithelium cells in ovarian tumor development.

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 score0.010

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)0.0030.003

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 head0.088
GPT teacher head0.422
Teacher spread0.334 · 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

Citations50
Published2006
Admission routes1
Has abstractyes

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