Uterine-Derived Stem Cells Reconstitute the Bone Marrow of Irradiated Mice
Bibliographic record
Abstract
Hematopoietic stem cells (HSCs) can be found in several tissues of mesodermal origin. Uterine tissue contains stem cells and can regenerate during each menstrual cycle with robust new tissue formation. Stem cells may play a role in this regenerative potential. Here, we report that transplantation of cells isolated from murine uterine tissue can rescue lethally irradiated mice and reconstitute the major hematopoietic lineages. Donor cells can be detected in the blood and hematopoietic tissues such as spleen and bone marrow (BM) of recipient mice. Uterine tissue contains a significant percentage of cells that are Sca-1(+), Thy 1.2(+), or CD45(+) cells, and uterine cells (UCs) were able to give rise to hematopoietic colonies in methylcellulose. Using secondary reconstitution, a key test for hematopoietic potential, we found that the UCs exhibited HSC-like reconstitution of BM and formation of splenic nodules. In a sensitive assay for cell fusion, we used a mixture of cells from Cre and loxP mice for reconstitution and demonstrated that hematopoietic reconstitution by UCs is not a function of fusion with donor BM cells. We also showed that the hematopoietic potential of the uterine tissue was not a result of BM stem cells residing in the uterine tissue. In conclusion, our data provide novel evidence that cells isolated from mesodermal tissues such as the uterus can engraft into the hematopoietic system of irradiated recipients and give rise to multiple hematopoietic lineages. Thus, uterine tissue could be considered an important source of stem cells able to support hematopoiesis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".