Initial germ cell to somatic cell ratio impacts the efficiency of SSC expansion <i>in vitro</i>
Bibliographic record
Abstract
Spermatogonial Stem Cell (SSC) expansion in vitro remains a major challenge in efforts to preserve fertility among pubertal cancer survivor boys. The current study focused on innovative approaches to optimize SSC expansion. Six- to eight-week-old CD-1 murine testicular samples were harvested by mechanical and enzymatic digestion. Cell suspensions were incubated for differential plating (DP). After DP, we established two experiments comparing single vs. repetitive DP (S-DP and R-DP, respectively) until passage 2 (P2) completion. Each experiment included a set of cultures consisting of 5 floating-to-attached cell ratios (5, 10, 15, 20, and 25) and control cultures containing floating cells only. We found similar cell and colony count drops during P0 in both S- and R-DP. During P2, counts increased in S-DP in middle ratios (10, 15, and especially 20) relative to low and high ratios (5 and 25, respectively). Counts dropped extensively in R-DP after passage 2. The superiority of intermediate ratios was demonstrated by enrichment of GFRα1 by qPCR. The optimal ratio of 20 in S-DP contained significantly increased proportions of GFRα1-positive cells (25.8±5.8%) as measured by flow cytometry compared to after DP (1.9±0.7%, p<0.0001), as well as positive immunostaining for GFRα1 and UTF1, with rare Sox9-positive cells. This is the first report of the impact of initial floating-to-attached cell ratios on SSC proliferation in vitro. ABBREVIATIONS: SSC: spermatogonial stem cells; DP: differential plating; NOA: non-obstructive azoospermia; MACS: magnetic-activated cells sorting; FACS: fluorescence-activated cells sorting.
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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 | 0.001 | 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 | 0.001 | 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".