<scp>MEF</scp>2 and <scp>NR</scp>2F2 cooperate to regulate <i>Akr1c14</i> gene expression in mouse <scp>MA</scp>‐10 Leydig cells
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Leydig cells are essential for male reproductive development and health throughout life. Production of androgens [testosterone, dihydrotestosterone (DHT)] as well as intermediate steroids [progesterone, dihydroprogesterone (DHP)] is tightly regulated. In the mouse, the 3α-hydroxysteroid dehydrogenase enzyme (3α-HSD, AKR1C14) catalyses the interconversion of DHP and DHT into less potent steroids. Despite its importance, nothing is currently known regarding the regulation of Akr1c14 expression in Leydig cells. Recently, the transcription factors MEF2 and NR2F2 were identified in the mouse testis including in Leydig cells where they were found to regulate expression of genes involved in steroidogenesis. Analyses of transcriptomic data from MEF2- or NR2F2-deficient MA-10 Leydig cells revealed a significant decrease in Akr1c14 mRNA levels. Using qPCR, we confirmed that Akr1c14 mRNA levels were decreased in MEF2- and in NR2F2-deficient conditions. Conversely, overexpression of MEF2A or/and NR2F2 in MA-10 Leydig cells led to an increase in endogenous Akr1c14 mRNA levels. Recruitment of MEF2 and NR2F2 to the Akr1c14 promoter was confirmed by ChIP while DNA precipitation assays revealed direct binding of MEF2 but not NR2F2 to this region. In functional promoter studies, NR2F2 was found to activate the Akr1c14 promoter while MEF2A on its own had no effect. Combination of both NR2F2 and MEF2A led to a cooperative activation of the Akr1c14 promoter and this required intact MEF2 and NR2F2 elements. Finally, co-immunoprecipitation experiments showed that MEF2 and NR2F2 are present in the same protein complex. In conclusion, our results identify a novel cooperation between MEF2 factors and NR2F2 in the expression of the Akr1c14 gene involved in the regulation of DHP/DHT levels.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it