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Record W2596624694 · doi:10.1093/biolreprod/77.s1.133b

WNT4 EXPRESSION IN OVARIAN GRANULOSA CELL PRECURSORS IS REQUIRED FOR FOLLICLE FORMATION

2007· article· en· W2596624694 on OpenAlexaff
Aron T. Cory, Marilène Paquet, Richard R. Behringer, Francesco J. DeMayo, JoAnne S. Richards, Derek Boerboom

Bibliographic record

VenueBiology of Reproduction · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant nutrient uptake and metabolism
Canadian institutionsUniversité de MontréalMcGill UniversityCegep de Saint Hyacinthe
Fundersnot available
KeywordsBiologyWNT4FollicleOvarian follicleFolliculogenesisCell biologyOvaryAndrologyExpression (computer science)Internal medicineEndocrinologySignal transductionEmbryoEmbryogenesis

Abstract

fetched live from OpenAlex

Wnt4 is a small glycoprotein signaling molecule whose importance to the proper embryonic development of the ovary is now well established. However, recent studies have shown that Wnt4 is also expressed in the postnatal mouse ovary, localizing to granulosa cell precursors during follicle formation and subsequently in granulosa cells until preantral stages of follicular development. We have found a similar pattern of ovarian expression for beta-catenin, a Wnt signaling effector that is stabilized and translocates to the nucleus in response to Wnt ligand, suggesting that Wnt4 signals via the “canonical” Wnt/beta-catenin pathway in granulosa cells. While these results demonstrate that Wnt signaling occurs in postnatal ovarian granulosa cells, its physiological roles remain to be defined. Wnt4-null mice could not be used to elucidate the roles of Wnt4 in follicle development, as these die shortly after birth due to developmental kidney defects. A conditional gene targeting approach using Cre-lox technology was therefore devised so as to inactivate Wnt4 in granulosa cell precursors. A mouse strain bearing a floxed Wnt4 allele was created using standard gene targeting techniques, and this allele was found to function normally prior to Cre-mediated recombination. Granulosa cell-specific inactivation of Wnt4 was then achieved by crossing Wnt4 floxed mice with previously-described Amhr2Cre/+ mice, in which Cre transgene expression begins in granulosa cell precursors during the perinatal period. The fertility of the resulting Wnt4flox/−;Amhr2Cre/+ female offspring was assessed by housing them with wild-type males for a six month period. Wnt4flox/−;Amhr2Cre/+ females produced a similar number of litters than control animals lacking the Cre transgene, but average litter size was significantly smaller (3.86 ±0.38 vs 7.16 ±0.64, mean±SEM, n=4 animals/group, P < 0.05). Gross examination of adult Wnt4flox/−;Amhr2Cre/+ ovaries revealed that they were significantly smaller than those from Wnt4flox/− littermates [2.56mg ± 0.25mg (n=18) vs 4.22mg ± 0.39mg (n=10), mean±SEM, P < 0.05]. Histological evaluations showed that all stages of follicular development and corpora lutea could be identified in Wnt4flox/−;Amhr2Cre/+ ovaries, but all were present in lower numbers than in control ovaries. Efficiency of Cre-mediated recombination was assessed by semi-quantitative RT-PCR, and Wnt4 mRNA levels were found to be reduced by 50% on average in Wnt4flox/−;Amhr2Cre/+ ovaries compared to controls, mirroring the reductions in fertility and ovary size. Importantly, a small subset (5–10%) of postpubertal Wnt4flox/−;Amhr2Cre/+ ovaries featured a near-complete abrogation of Wnt4 expression as a result of high-efficiency recombination of the floxed allele. These ovaries were far smaller (<1mg), and contained only a small number of apparently unhealthy primary follicles. Ovaries from older (>6mo) Wnt4flox/−;Amhr2Cre/+ mice with high recombination efficiency were completely devoid of follicles. Based on these findings we propose that Wnt4 expression in granulosa cell precursors is required for follicle formation to occur properly. (poster)

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.136

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.028
GPT teacher head0.247
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 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
Published2007
Admission routes1
Has abstractyes

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