Innate lymphoid cell development
Bibliographic record
Abstract
Innate lymphoid cells (ILCs) are a heterogeneous family of lymphocytes that lack conventional antigen receptors and play roles in tissue homeostasis and immune responses. Based on their transcriptional and functional properties, ILCs are classified into three main groups: group 1 ILCs (ILC1s and NK cells), group 2 ILCs (ILC2s), and group 3 ILCs (ILC3s). The developmental origins of ILCs remain an area of active investigation. Multiple progenitor populations contribute to their differentiation, including common innate lymphoid progenitors (CILPs), ILC-restricted progenitors, and IL-18 receptor-positive progenitors. Recent studies suggest that ILCs can arise from diverse pathways beyond BM-derived progenitors, including extramedullary sites such as the fetal lung and thymus. Thymic-derived ILC2s have been identified, suggesting an alternative route of development that challenges the traditional BM-centric model. This commentary discusses the current understanding of ILC development, emphasizing the contributions of BM progenitors, tissue-resident precursors, and alternative developmental pathways. Unraveling the regulatory mechanisms governing ILC differentiation will provide critical insights into their roles in immune surveillance and tissue-specific immunity.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.007 |
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".