Human, mouse, and dog bone marrow show similar mesenchymal stromal cells within a distinctive microenvironment
Bibliographic record
Abstract
Bone marrow stromal cells (BMSCs) are a key part of the hematopoietic niche. Mouse and human BMSCs are recognized by different markers (LepR and NGFR/CD271, respectively). However, there has not been a detailed in situ comparison of both populations within the hematopoietic microenvironment. Moreover, dog BMSCs have not been characterized in situ by any of those markers. We conducted a systematic histopathological comparison of mouse, human, and dog BMSCs within their bone marrow architecture and microenvironment. Human and dog CD271+ BMSCs had a morphology, frequency, and distribution within trabecular bone marrow similar to those of mouse LepR+ BMSCs. However, mouse bone marrow had higher cellularity and megakaryocyte content. In conclusion, highly comparable bone marrow mesenchymal stromal cell distribution among the three species establishes the validity of using mouse and dog as a surrogate experimental model of hematopoietic stem cell-BMSC interactions. However, the distinct differences in adipocyte and megakaryocyte microenvironment content of mouse bone marrow and how they might influence hematopoietic stem cell interactions as compared with humans require further study.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".