Proteomic Characterization of Mouse Cytosolic and Membrane Prostate Fractions: High Levels of Free SUMO Peptides Are Androgen-Regulated
Bibliographic record
Abstract
The prostate is a relatively homogeneous tissue that is highly specialized in synthetic and secretory functions. The frequency of malignant growth explains its great clinical significance. We used here a combination of subcellular fractionation, 1-DE (one-dimensional gel electrophoresis) protein separation and mass spectrometry, to establish a prostate protein expression profile in mice. Analysis of proteins present in cytosolic (C) and membrane (P) prostate fractions led to the identification of 619 distinct proteins. A majority of abundant proteins were found to compose the metabolism and protein synthesis machinery. Those identified also correspond to known endoplasmic reticulum and Golgi residents, chaperones and anterograde cargos. They included a series of proteins involved in exocytic/endocytic trafficking. Among the signaling proteins, we identified the ubiquitin-like peptides smt3. We showed that both free small ubiquitin-related modifier SUMO-2/3 and SUMO-1 levels are subject to tight control by the androgen 5alpha-dihydrotestosterone (DHT). By contrast with SUMO-2/3, free SUMO-1 peptides are particularly abundant in the prostate when compared with other tissues. Therefore, we report prostate protein expression profiles of cytosolic and membrane fractions in mice. Our data suggest that the identified free SUMO peptides play an important role in this secretory tissue.
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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 | 0.000 | 0.000 |
| 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".