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Record W2338089317 · doi:10.1002/mrd.22648

Cell interactions and genetic regulation that contribute to testicular Leydig cell development and differentiation

2016· review· en· W2338089317 on OpenAlexafffund
Luc J. Martin

Bibliographic record

VenueMolecular Reproduction and Development · 2016
Typereview
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsUniversité de Moncton
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyLeydig cellSpermatogenesisSexual differentiationEndocrinologyAndrogenCell biologyInternal medicineHormoneGeneGeneticsLuteinizing hormone

Abstract

fetched live from OpenAlex

Leydig cells, located within the interstitial compartment of the testis, are major contributors of androgen synthesis and secretion, which play an important role in testis development, normal masculinization, maintenance of spermatogenesis, and general male fertility. Accordingly, dysfunction of Leydig cells may lead to various male reproductive maladies, including primary hypogonadism, cryptorchidism, and hypospadias. A better understanding of how cell interactions and gene regulation contribute to testicular Leydig cell development and differentiation may therefore help limit the incidence of such male reproductive pathologies. Several hormones and signaling molecules have been identified as important regulators of Leydig cell differentiation and function. Recent work on the regulation of testis development, especially of Leydig cells, has focused on the Desert hedgehog and platelet-derived growth factor signaling pathways. This review outlines recent findings regarding cell interactions and gene regulation involved in the development and regulation of fetal and adult Leydig cell populations. Mol. Reprod. Dev. 83: 470-487, 2016. © 2016 Wiley Periodicals, Inc.

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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.029
GPT teacher head0.270
Teacher spread0.241 · 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

Citations47
Published2016
Admission routes2
Has abstractyes

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