IQGAP1 involvement in MTOC and granule polarization in NK‐cell cytotoxicity
Bibliographic record
Abstract
Natural killer (NK) cells form a region of tight contact called the NK immunological synapse (NKIS) with their target cells. This is a dynamic region serving as a platform for targeted signaling and exocytotic events. We previously identified IQGAP1 as a cytoskeletal component of the NK-like cell line YTS. The present study was undertaken to determine the role of IQGAP1 in the function of NK cells. Silencing of IQGAP1 expression resulted in almost complete loss of the cytotoxic activity of YTS cells. Loss of IQGAP1 did not prevent conjugate formation with target cells but it did result in a failure to reorient the microtubule organizing centre to the immune synapse. Significantly, IQGAP1 expression was required for the perigranular accumulation of an F-actin network. IQGAP1 was shown to undergo marked rearrangements during synapse maturation in effector target conjugates of YTS or primary NK cells. These results suggest previously undescribed role(s) for IQGAP1 in regulating multiple aspects of cytoskeletal organization and granule polarization in NK cells.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".