Dynamics of Human Prothymocytes and Xenogeneic Thymopoiesis in Hematopoietic Stem Cell-Engrafted Nonobese Diabetic-SCID/IL-2rγnull Mice
Bibliographic record
Abstract
To model the developmental pattern of human prothymocytes and thymopoiesis, we used NOD-scid/γc(-/-) mice grafted with human umbilical cord blood CD34(+) hematopoietic progenitor cells (HPCs). Human prothymocytes developed in the murine bone marrow (BM) from multipotent CD34(++)CD38(lo)lineage(-) HPCs to CD34(++)CD7(+)CD2(-) pro-T1 cells that progressed in a Notch-dependent manner to CD34(+)CD7(++)CD2(+) pro-T2 cells, which migrated to the thymus. BM prothymocyte numbers peaked 1 mo after graft, dropped at mo 2, and persisted at low levels thereafter, with only a few CD34(+)CD7(lo) prothymocytes with limited T potential being detected by mo 5. As a consequence, thymopoiesis in this xenogeneic setting began by weeks 4-6, peaked at mo 3, and decreased thenceforth. Analyzing mice grafted at 2, 4 or 8, mo of age showed that in an "older" BM, prothymocyte differentiation was perturbed and resulted in CD34(+)CD7(lo) prothymocytes with limited T potential. Whereas the early drop in BM thymopoietic activity was related to a Notch-independent loss of T potential by CD34(++)CD38(lo)lineage(-) HPCs, the later age-dependent production decline of prothymocytes was linked to a more complex mix of cell-intrinsic and microenvironmental defects. Accordingly, and contrasting with what was observed with umbilical cord blood HPCs, CD34(+) HPCs from human adult BM displayed only marginal thymopoietic activity when grafted into young 2-mo-old NOD-scid/γc(-/-) mice. These data demonstrate that the developmental pattern of BM prothymocytes during human late fetal and early postnatal life can be reproduced in humanized mice, and they suggest that onset of human thymus involution relates to decreased colonization by prothymocytes.
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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) | 0.001 | 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".