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 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) | 0.002 | 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".