A Revised and Improved Method for the Isolation of Seminiferous Tubule-Enriched Fractions that Preserves the Phosphorylated and Glycosylated Forms of Proteins
Bibliographic record
Abstract
An improved technique to generate high yields of relatively pure seminiferous tubule-enriched fractions from mouse testis by manual isolation is described. Our laboratory had previously developed an isolation method based on mild enzymatic digestion to separate individual constituents of each compartment of the testis, namely, the interstitial tissue and the seminiferous tubules. Although the method had the advantage of allowing the production of seminiferous tubule-enriched fractions in large amounts, we show here that this approach does not allow optimal preservation of the integrity of the proteins in the samples, in particular of the phosphorylated and/or glycosylated forms of the proteins. In an attempt to solve this problem, we developed a novel mechanical approach to generate interstitial tissue- and seminiferous tubule-enriched fractions that does not require the use of enzymatic digestion. This approach has the advantages of providing relatively pure seminiferous tubule-enriched fractions in large quantities and in a short amount of time. In addition, and more significantly, the approach allows a more faithful detection of the phosphorylated and glycosylated forms of the proteins.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.006 |
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".