DOCK8 regulates a mechanosensitive actin redistribution that maintains immune cell cohesion and protects the nucleus during migration
Bibliographic record
Abstract
Abstract Immune cells navigate through complex 3-dimensional tissue architectures, utilizing an amoeboid mode of migration, characterized by extensive cellular deformation, low adhesion, and high cell velocities. In the absence of expression of Dedicator of Cytokinesis 8 (Dock8) , a gene identified with loss-of-function mutations in immunodeficiency, cells become entangled during migration through dense, confined environments and consequently undergo catastrophic cell rupturing, while migration on 2D surfaces remains entirely intact. Here we investigated the specific cytoskeletal defect of Dock8 -deficient activated T cells, showing that even prior to entanglement they display a striking difference in F-actin distribution compared to wild type (WT) cells. We describe a central pool of F-actin in WT murine and human T cells which is absent in Dock8 KO T cells, and determine that the relocalization of F-actin is a mechanoresponsive circuit, emerging only when cells are very confined. Our works shows that the central actin pool is nucleo-protective, reducing nuclear deformation and DNA damage during confined migration. We identify the Hippo-pathway kinase Mst1 as a co-mediator of this mechanosensitive pathway in conjunction with Dock8, allowing for cell cohesion and survival during migration through complex environments.
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) | 0.002 | 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".