Differentiation of Bone Marrow Monocytes into Alveolar Macrophages-like Cells through Co-culture with Lung Epithelial Cells and Group 2 Innate Lymphoid Cells
Bibliographic record
Abstract
During life, the embryonic alveolar macrophage (AM) population undergoes successive waves of depletion and replenishment in response to infectious and inflammatory episodes. While resident AMs are traditionally described as from embryonic origin, their ontogeny following inflammation or infection is much more complex. Indeed, it appears that the contribution of monocytes (MOs) to the AM pool is variable and depends on the type of inflammation, its severity, and the signals released in the microenvironment of the pulmonary niche (peripheral imprinting) and/or in the bone marrow (central imprinting). Deciphering the cellular and molecular mechanisms regulating the differentiation of MOs into AMs remains an area of intense investigation, as this could potentially explain part of the inter-individual susceptibility to respiratory immunopathologies. Here, we detail a relevant ex vivo co-culture model to investigate how lung epithelial cells (ECs) and group 2 lung innate lymphoid cells (ILC2s) contribute to the differentiation of recruited MOs into AMs. Interestingly, the presence of lung ILC2s and ECs provides the necessary niche signals to ensure the differentiation of bone marrow MOs into AMs, thus establishing an accessible model to study the underlying mechanisms following different infection or inflammation processes. Key features • Ex vivo co-culture model of the alveolar niche. • Deciphering the particular niche signals underlying the differentiation of MO into AMs and their functional polarization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 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".