Protein composition of human epididymosomes collected during surgical vasectomy reversal: a proteomic and genomic approach
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
BACKGROUND: The epididymal epithelium secretes membranous vesicles, called epididymosomes, with which a complex mixture of proteins is associated. These vesicles transfer to spermatozoa selected proteins involved in sperm maturation. Epididymosomes in the human excurrent duct have been described, but their protein composition and possible functions are unknown. METHODS AND RESULTS: Epididymosomes were collected during vasovasostomy procedures, purified and submitted to liquid chromatography with hybrid quadrupole time-of-flight mass spectrometry. From all the mass spectra generated, 1022 peptides allowed the identification of 146 different proteins. Identification of some of these proteins was confirmed by western blots. Furthermore, western blot showed that the protein composition of epididymosomes differed from that characterizing prostasomes; membranous vesicles secreted by the prostate. Organization of the epididymosomes proteome according to common functional features suggests that epididymosomes have multiple functions. In order to understand the origin of epididymosomes collected distally, microarray databases of caput, corpus and cauda epididymidis were analysed to determine where along the excurrent duct the encoded proteins associated to epididymosomes are synthesised. Results suggest that some proteins synthesized in the caput and corpus epididymidis are associated with epididymosomes collected distally. CONCLUSIONS: Epididymosomes thus transit along the excurrent duct, and vesicles collected distally represent a mixed population.
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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) | 0.000 | 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) | 0.000 | 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