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Record W2256069108 · doi:10.82308/12889

Role of ERK1/2 in the crosstalk between the PDGF- and estrogen signalling pathways in neonatal testicular gonocyte proliferation

2011· dissertation· en· W2256069108 on OpenAlexaff
Monty B. Mazer

Bibliographic record

VenueeScholarship@McGill (McGill) · 2011
Typedissertation
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsMcGill University
Fundersnot available
KeywordsGonocyteInternal medicineEndocrinologyEstrogenBiologyPlatelet-derived growth factor receptorCell biologyCytosolGrowth factorSertoli cellReceptorBiochemistrySpermatogenesisMedicine

Abstract

fetched live from OpenAlex

Gonocytes are the precursors of spermatogonial stem cells from which spermatozoa originate. We have shown that neonatal rat gonocytes proliferate in response to the combined action of PDGF and 17β-estradiol (E2). The xenoestrogens Bisphenol A and genistein, previously shown to alter the male reproductive system, stimulated gonocyte proliferation through crosstalk with the PDGF pathway in a manner similar to E2, while testosterone and progesterone did not affect gonocyte proliferation. Gonocytes expressed Raf1, MEK1, ERK1/2 and PI3K, and proliferated through ERK1/2 activation. PDGF and estrogen induced rapid ERK2 phosphorylation and their combination maintained activated ERK2 for 60 minutes, localized mainly in the cytosol. E2 induced a rapid increase of estrogen receptor β immunoreactivity in gonocyte cytosol. PDGF increased a cytosolic PDGFRβ signal, suggesting a role for the variant V1-PDGFRβ previously identified in gonocytes. These data suggest that PDGF and estrogen are required to maintain ERK2 activation which mediates gonocyte proliferation, and that estrogen exerts rapid non-genomic effects in gonocytes.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.022
GPT teacher head0.237
Teacher spread0.215 · 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 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

Citations0
Published2011
Admission routes1
Has abstractyes

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