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Record W3197170686 · doi:10.1093/biolre/ioab162

Contact-dependent cleavage of Jagged1 in oocytes reveals potential bidirectional Notch signaling during follicular growth in the mouse

2021· letter· en· W3197170686 on OpenAlexaff
Herthana Kandasamy, Qin Yang, Hugh J. Clarke

Bibliographic record

VenueBiology of Reproduction · 2021
Typeletter
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsNotch signaling pathwayBiologyCell biologyJAG1FolliculogenesisHes3 signaling axisOvarian follicleNotch proteinsOocyteFollicular atresiaSignal transductionInternal medicineEndocrinologyFollicular phaseEmbryogenesisEmbryo

Abstract

fetched live from OpenAlex

Dear Editor, Growth and development of the ovarian follicle depends on coordinated signaling between the germ-line and somatic cells. Among the interactions so far identified is that coupling Jagged ligand, expressed in the germ cell, to the Notch receptor, expressed in granulosa cells [1]. Targeted deletion of Jag1 or Notch2 in the oocyte or granulosa cells, respectively, leads to abnormalities in primordial follicle formation [2, 3]. Defects including reduced granulosa cell proliferation and increased atresia also occur during follicular growth and are associated with subfertility [2, 4], suggesting that Jagged–Notch signaling may play a role throughout folliculogenesis. Both Jagged and Notch are anchored in the plasma membrane (reviewed in [5]). In the canonical pathway, the binding of Jagged triggers successive cleavages of Notch by a disintegrin and metalloproteinase (ADAM) and γ-secretase proteases. These release the Notch intracellular domain (NICD) that...

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score0.855

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0010.001
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 head0.023
GPT teacher head0.263
Teacher spread0.240 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations1
Published2021
Admission routes1
Has abstractyes

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