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Record W2152767039 · doi:10.1095/biolreprod.111.091850

Stem Leydig Cell Differentiation: Gene Expression During Development of the Adult Rat Population of Leydig Cells1

2011· article· en· W2152767039 on OpenAlexaff
Erin Stanley, Daniel St Johnston, Jinjiang Fan, Vassilios Papadopoulos, Haolin Chen, Ren‐Shan Ge, Barry R. Zirkin, Scott A. Jelinsky

Bibliographic record

VenueBiology of Reproduction · 2011
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsMontreal General HospitalMcGill University Health Centre
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Environmental Health SciencesNational Institute on AgingNational Institutes of HealthJohns Hopkins University
KeywordsBiologyLeydig cellProgenitor cellCell biologyStem cellGene expressionCellular differentiationTranscriptomePopulationGeneInternal medicineEndocrinologyGeneticsHormoneMedicineLuteinizing hormone

Abstract

fetched live from OpenAlex

Leydig cells are the testosterone-producing cells in the adult male. Adult Leydig cells (ALCs) develop from stem Leydig cells (SLCs) through at least two intermediate cells, progenitor Leydig cells (PLCs) and immature Leydig cells (ILCs). Microarray gene expression was used to identify the transcriptional changes that occur with the differentiation of SLCs to PLCs and, thus, with the entry of SLCs into the Leydig cell lineage; to comprehensively examine differentiation through the development of ALCs; and to relate the pattern of gene expression in SLCs to that in a well-established stem cell, bone marrow stem cells (BSCs). We show that the pattern of gene expression by SLCs was more similar to the expression by BSCs, an established stem cell outside the male reproductive tract, than to any of the cells in the Leydig cell developmental lineage. These results indicated that the SLCs have many of the molecular characteristics of other stem cells. Pathway analysis indicated that development of Leydig cells from SLCs to PLCs was associated with decreased expression of genes related to adhesion and increased expression of genes related to steroidogenesis. Gene expression changes between PLCs and ILCs and between ILCs and ALCs were relatively minimal, suggesting that these cells are highly similar. In contrast, gene expression changes between SLCs and ALCs were quite distinct.

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 score0.126
Threshold uncertainty score0.245

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 head0.028
GPT teacher head0.219
Teacher spread0.192 · 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

Citations61
Published2011
Admission routes1
Has abstractyes

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