Group 3 innate lymphoid cell-derived CSF2 tunes homeostasis of tissue macrophages and neutrophils
Bibliographic record
Abstract
Group 3 innate lymphoid cells (ILC3) are tissue-resident lymphocytes that contribute to tissue and immune homeostasis. Alterations in ILC3 development or deficiency in their effector functions have beneficial and detrimental outcomes on chronic inflammation, host defense and barrier integrity. Although research has progressed in understanding these cells, multiple aspects of their biology remain poorly understood and difficult to investigate using current available techniques. This is primarily due to the lack of accessible and suitable tools to isolate, manipulate, and investigate ILC3 in vitro and in vivo. Here, we report an economical system to investigate the biology of ILC3 in vitro and in vivo, using the previously described ILC3 cell line MNK3. We demonstrate that MNK3 cells are a relevant model for in vivo investigations into the biology of ILC3. We describe and validate a straightforward strategy to genetically modify MNK3 cells ex vivo to dissect the role of their effector functions in the steady state or during inflammation and infection. Using this system, we identified a previously underappreciated role for ILC3-derived Colony Stimulating Factor 2 (CSF2) in regulating splenic and hepatic myeloid cell homeostasis. Collectively, we present a system to investigate the biology of ILC3 that is suitable, and accessible to a wider audience in academic research.
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 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".