Unspoken words: decoding the dialog between type 2 innate lymphoid cells and T cells
Bibliographic record
Abstract
Type 2 innate lymphoid cells (ILC2s) are critical mediators of type 2 immunity that play non-redundant context-dependent modulatory functions. Primarily associated with responses against helminths and allergens via the activation of a potent epithelial-ILC2 axis, a growing body of evidence also suggests that a crosstalk between ILC2 and T cells is equally important in maintaining tissue homeostasis. In barrier tissues and secondary lymphoid organs, ILC2s co-localize with T cells, forming hubs where bi-directional signals are exchanged. Here, we describe the diversity of functional interactions between ILC2s and T cells, detailing known contact-dependent and -independent mechanisms, including a relatively new and still poorly defined antigen-presenting function during inflammation. Understanding these complex interactions is necessary to fully elucidate how this specific crosstalk helps maintain tissue homeostasis and regulate inflammatory responses. Identifying the spatial and temporal specificities of these interactions will certainly open new avenues for future targeting of this axis to improve immune-mediated host protection.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".