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Record W2597180845 · doi:10.1093/biolreprod/77.s1.118b

CHARACTERIZATION OF THE PLATELET-DERIVED GROWTH FACTOR RECEPTOR ALPHA (PDGF-Rα) PROMOTER IN MOUSE LEYDIG CELLS

2007· article· en· W2597180845 on OpenAlexaff
Charlotte Dubé, Jacques Tremblay

Bibliographic record

VenueBiology of Reproduction · 2007
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsCentre hospitalier de l'Université Laval
Fundersnot available
KeywordsBiologyLeydig cellPlatelet-derived growth factor receptorPlatelet-derived growth factorEndocrinologyInternal medicinePopulationCell biologyGrowth factorReceptorGeneticsLuteinizing hormoneHormoneMedicine

Abstract

fetched live from OpenAlex

Leydig cells present in the testicular interstitium are the main site of testosterone production in males. During fetal and neonatal life, a specific population of Leydig cells (fetal Leydig cells, FLC) is responsible for androgen production and masculinization of the male foetus. During postnatal life, the FLC population regresses and is substituted by a distinct population (adult Leydig cells, ALC) derived from undifferentiated stem cells. ALC provide the testosterone essential for completion of male sex differentiation and male reproductive function. Platelet-derived growth factors (PDGF) and their tyrosine kinase receptors (PDGF-R) are known to be implicated in various functions in numerous tissues including the testis. In the testis, expression of PDGF and PDGF-R is developmentally regulated and is cell-specific. The PDGF-A ligand is produced by Sertoli cells while Leydig cells express PDGF-Rα. The PDGF-A/PDGF-Rα system is essential for normal testis development and for differentiation of both populations of Leydig cells since in the absence of PDGF-A or PDGFRα, Leydig cells fail to differentiate. No information, however, is available regarding the molecular mechanisms regulating PDGF-Rα expression in Leydig cells. The aim of this study was to characterize the mouse PDGFRα promoter. We have isolated 4 kb of the PDGF-Rα promoter from mouse genomic DNA, a fragment previously shown to be sufficient for proper expression in Leydig cells in vivo. Since we found that PDGF-Rα is expressed in the TM3 Leydig cell line both at the mRNA and protein levels, we used this cell line to map the regulatory elements important for PDGF-Rα promoter activity. A series of 5′ progressive deletion constructs (−2540 bp, −859 bp, −478 bp, −203 bp, −134 bp, −113 bp, −70 bp, −52 bp) were generated and transfected in TM3 cells. Using this approach, we found that a 60 bp region located between −134 bp to −70 bp is responsible for conferring about 80 % of PDGF-Rα promoter activity in TM3 Leydig cells. Sequence analysis of this region revealed the presence of potential binding sites for several transcription factors previously reported to be present in the testis. These include Pax5, FoxJ2, Smad3, Mok2, Ik2, and members of the RUSH family. To better define the regulatory elements within the 60 bp region, we have used a linker-scanning approach to mutate by sitedirected mutagenesis the 60 bp region 3 bp at a time in the context of the - 4 kb promoter. A total of 20 site-directed mutants were thus generated and transfected in TM3 Leydig cells. We found that 2 mutants had a dramatic effect on PDGF-Rα promoter activity, decreasing it by 75–80 %. The first mutant is located at −103 bp and eliminates a putative binding site for the transcription factors Pax5 and Mok2 while the second mutant, at −87 bp, abolishes a site for members of the Fox family (FoxJ2). The implication of these transcription factors, however, remains to be established. In conclusion, we have mapped the regulatory regions essential for transcription of the PDGF-Rα gene which encodes a critical regulator of Leydig cell differentiation and function. C. Dubé is recipient of CIHR/Wyeth Pharmaceuticals postdoctoral fellowship. Supported by CHIR. (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 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.238
Teacher spread0.221 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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