Ionizing radiation–induced expression of INK4a/ARF in murine bone marrow–derived stromal cell populations interferes with bone marrow homeostasis
Bibliographic record
Abstract
Alterations of the BM microenvironment have been shown to occur after chemoradiotherapy, during aging, and after genetic manipulations of telomere length. Nevertheless, whether BM stromal cells adopt senescent features in response to these events is unknown. In the present study, we provide evidence that exposure to ionizing radiation (IR) leads murine stromal BM cells to express senescence markers, namely senescence-associated β-galactosidase and increased p16(INK4a)/p19(ARF) expression. Long (8 weeks) after exposure of mice to IR, we observed a reduction in the number of stromal cells derived from BM aspirates, an effect that we found to be absent in irradiated Ink4a/arf-knockout mice and to be mostly independent of the CFU potential of the stroma. Such a reduction in the number of BM stromal cells was specific, because stromal cells isolated from collagenase-treated bones were not reduced after IR. Surprisingly, we found that exposure to IR leads to a cellular nonautonomous and Ink4a/arf-dependent effect on lymphopoiesis. Overall, our results reveal the distinct sensitivity of BM stromal cell populations to IR and suggest that long-term residual damage to the BM microenvironment can influence hematopoiesis in an Ink4a/arf-dependent manner.
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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 | 0.001 |
| 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".