Isolation, Characterization, and Culture of Human Spermatogonia1
Bibliographic record
Abstract
This study was designed to isolate, characterize, and culture human spermatogonia. Using immunohistochemistry on tubule sections, we localized GPR125 to the plasma membrane of a subset of the spermatogonia. Immunohistochemistry also showed that MAGEA4 was expressed in all spermatogonia (A(dark), A(pale), and type B) and possibly preleptotene spermatocytes. Notably, KIT was expressed in late spermatocytes and round spermatids, but apparently not in human spermatogonia. UCHL1 was found in the cytoplasm of spermatogonia, whereas POU5F1 was not detected in any of the human germ cells. GFRA1 and ITGA6 were localized to the plasma membrane of the spermatogonia. Next, we isolated GPR125-positive spermatogonia from adult human testes using a two-step enzymatic digestion followed by magnetic-activated cell sorting. The isolated GPR125-positive cells coexpressed GPR125, ITGA6, THY1, and GFRA1, and they could be cultured for short periods of time and exhibited a marked increase in cell numbers as shown by a proliferation assay. Immunocytochemistry of putative stem cell genes after 2 wk in culture revealed that the cells were maintained in an undifferentiated state. MAPK1/3 phosphorylation was increased after 2 wk of culture of the GPR125-positive spermatogonia compared to the freshly isolated cells. Taken together, these results indicate that human spermatogonia share some but not all phenotypes with spermatogonial stem cells (SSCs) and progenitors from other species. GPR125-positive spermatogonia are phenotypically putative human SSCs and retain an undifferentiated status in vitro. This study provides novel insights into the molecular characteristics, isolation, and culture of human SSCs and/or progenitors and suggests that the MAPK1/3 pathway is involved in their proliferation.
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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) | 0.002 | 0.002 |
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".