Purification and processing of blood-forming tissue units, the haematons, in searching for mammalian stem cell niches
Bibliographic record
Abstract
Self-renewing organs in adult mammals are composed of numerous tissue-speci c functional units, such as intestinal crypts/villi or hair follicles, which all involve stem cell \(SC) niches.Analogous tissue units in haematopoietic systems, however, have remained elusive.We design here a step-by-step protocol for in situ mapping, puri cation, enumeration and structural-functional analysis of the haematopoietic tissue unit, termed haematon.Longitudinal bisection of mouse femur and careful, limited dispersion of bone marrow \(BM) parenchyma reveals compact, node-like haematons at discreet capillary loops along the diaphysis and spongy metaphysis.Recovery and fractionation of the whole BM in a bulk cell suspension, haematon units and endosteal layer provides a reproducible tool for quantitative and topographical analysis of putative SC niches in de ned tissue compartments.We show examples how to characterize haematons in native state or following long-term culture using laser-scanning confocal microscopy, ow cytometry, clonal bioassays and videomicroscopy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".