The adaptor protein Nck interacts with Fas ligand: Guiding the death factor to the cytotoxic immunological synapse
Bibliographic record
Abstract
The Fas ligand (FasL) is a key death factor of cytotoxic T lymphocytes and natural killer cells. It is stored intracellularly as a transmembrane protein of secretory lysosomes. Upon activation, these vesicles are transported to the cytotoxic immunological synapse (IS), and FasL becomes exposed to the cell surface to trigger cell death through ligation of its receptor Fas (CD95) on the target cell. We propose that the FasL-associated adaptor protein Nck is involved in the actin-dependent transport of FasL-bearing secretory lysosomes to the IS. Nck binds to the proline-rich portion of FasL and alters its subcellular distribution when coexpressed in 293T cells. In T lymphocytes, endogenous Nck partially colocalizes with lysosome-associated FasL. When T cell clones or lines are exposed to target cells, both proteins and other components of secretory lysosomes (i.e., granzyme B or cathepsin D) are transported to the cell-cell interface. The present data suggest that T cell receptor engagement provokes a rapid, tyrosine kinase- and actin-dependent transport of Nck-associated FasL-carrying lysosomes to the contact area. Our observations support the previous notion that the unique cytoplasmic tail of FasL is crucial for its directed transport to the cell surface and into the assembling cytotoxic IS.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".