Comprehensive and Quantitative Analysis of the Changes in Proteomic and Phosphoproteomic Profiles during Stimulation and Repression of Steroidogenesis in MA-10 Leydig Cells
Bibliographic record
Abstract
Leydig cells produce testosterone, a hormone essential for male sex differentiation and spermatogenesis. The pituitary hormone, LH, stimulates testosterone production in Leydig cells by increasing the intracellular cAMP levels, which leads to the activation of various kinases and transcription factors, ultimately stimulating the expression of the genes involved in steroidogenesis. The second messenger, cAMP, is subsequently degraded to AMP, and the increase in the intracellular AMP levels activates AMP-dependent protein kinase (AMPK). Activated AMPK potently represses steroidogenesis. Despite the key roles played by the various stimulatory and inhibitory kinases, the proteins phosphorylated by these kinases during steroidogenesis remain poorly characterized. In the present study, we have used a quantitative LC-MS/MS approach, using total and phosphopeptide-enriched proteins to identify the global changes that occur in the proteome and phosphoproteome of MA-10 Leydig cells during both the stimulatory phase (Fsk/cAMP treatment) and inhibitory phase (AICAR-mediated activation of AMPK) of steroidogenesis. The phosphorylation levels of several proteins, including some never before described in Leydig cells, were significantly altered during the stimulation and inhibition of steroidogenesis. Our data also provide new key insights into the finely tuned and dynamic processes that ensure adequate steroid hormone production.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".