Hyaluronan Binding Identifies a Functionally Distinct Alveolar Macrophage–like Population in Bone Marrow–Derived Dendritic Cell Cultures
Bibliographic record
Abstract
Although classical dendritic cells (DCs) arise from distinct progenitors in the bone marrow, the origin of inflammatory DCs and the distinction between monocyte-derived DCs and macrophages is less clear. In vitro culture of mouse bone marrow cells with GM-CSF is a well-established method to generate DCs, but GM-CSF has also been used to generate bone marrow-derived macrophages. In this article, we identify a distinct subpopulation of cells within the GM-CSF bone marrow-derived DC culture based on their ability to bind hyaluronan (HA), a major component of the extracellular matrix and ligand for CD44. HA identified a morphologically distinct subpopulation of cells within the immature DC population (CD11c(+) MHC II(mid/low)) that were CCR5(+)/CCR7(-) and proliferated in response to GM-CSF, but, unlike immature DCs, did not develop into mature DCs expressing CCR7 and high levels of MHC II, even after stimulation with LPS. The majority of these cells produced TNF-α in response to LPS but were unable to activate naive T cells, whereas the majority of mature DCs produced IL-12 and activated naive T cells. This HA binding population shared many characteristics with alveolar macrophages and was retained in the alveolar space after lung instillation even after LPS stimulation, whereas the MHC II(high) mature DCs were found in the draining lymph node. Thus, HA binding in combination with MHC II expression can be used to identify alveolar-like macrophages from GM-CSF-treated bone marrow cultures, which provides a useful in vitro model to study alveolar macrophages.
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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 | 0.001 |
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".