MétaCan
Menu
Back to cohort
Record W2604117518 · doi:10.1210/en.2016-1866

Ring Finger Protein 6 Mediates Androgen-Induced Granulosa Cell Proliferation and Follicle Growth via Modulation of Androgen Receptor Signaling

2017· article· en· W2604117518 on OpenAlexaff
Jung Jin Lim, Chae Young Han, Dong Ryul Lee, Benjamin K. Tsang

Bibliographic record

VenueEndocrinology · 2017
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsAndrogen receptorEndocrinologyInternal medicineAndrogenCell growthReceptorBiologyChemistryMedicineHormoneGenetics

Abstract

fetched live from OpenAlex

The destiny of the ovarian follicle (growth or atresia) is tightly regulated by the actions and interactions of endocrine, paracrine, and autocrine factors. Although androgens are known to be important in the regulation of folliculogenesis, whether they facilitate or suppress follicular growth has been controversial, and the mechanisms involved are not fully understood. Moreover, the role and regulation of androgen receptor (AR) in mediating androgen signaling during follicular development is not clear. Here, we report that the active androgen dihydrotestosterone upregulates the expression of AR and its E3 ligase ring finger protein 6 (RNF6), increasing site-specific AR polyubiquitination and AR transcriptional activity for soluble Kit ligand (sKit-L) expression in preantral follicle growth. RNF6 silencing suppressed dihydrotestosterone-induced AR ubiquitination (lysine residue 63) and proliferation and suppressed apoptosis in preantral granulosa cells, with these responses being overcome by the presence of exogenous sKit-L. Taken together, our findings support the notion that RNF6 plays an important role in androgen-induced, follicle-stage-dependent follicle growth and that it acts by facilitating AR-mediated granulosa cell sKit-L expression and proliferation. Our findings offer insights into the regulatory mechanism of androgen action in ovarian follicular growth.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.026
GPT teacher head0.271
Teacher spread0.245 · 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

Citations49
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueEndocrinologySame topicReproductive Biology and FertilityFrench-language works237,207