Isolation and Enrichment of Murine Spermatogonial Stem Cells Using Rhodamine 123 Mitochondrial Dye1
Bibliographic record
Abstract
Stem cells possess enormous therapeutic potential in tissue replacement. To study stem cells further, they must be isolated. Techniques are available for enrichment and study of hematopoietic stems cells, but thus far, techniques for purification of spermatogonial stem cells have not been described. Enrichment techniques for hematopoietic stem cells include the use of fluorescence-activated cell sorter analysis with Hoechst 33342 and rhodamine 123 (Rho) dyes. Use of Hoechst dye to isolate spermatogonial stem cells has been unsuccessful in our laboratory, and our results have conflicted with those from other laboratories. Taking advantage of the differential staining of the Rho dye, we report a novel method to enrich murine spermatogonial stem cells. Testicular cells are harvested from cryptorchid ROSA26 male mice. Populations of these cells are then stained with the Hoechst and Rho dyes, allowing them to be sorted by flow cytometry into a side population (SP) of Hoechst low-intensity cells and populations of low (Rho(low)) or high (Rho(hi)) fluorescent intensity. Sterile recipients, W/W(v) mice, with an intrinsic germ cell deficiency were transplanted with the Hoechst SP cells, Rho(low), Rho(hi), and nonsorted donor cells. No spermatogonial stem cell colonies were derived from the Hoechst SP cells. The number of spermatogonial stem cell colonies from transplanted Rho(low) cells showed a 17- and 20-fold enrichment over those of Rho(hi) and nonsorted cells, respectively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".