Beyond focal adhesions: Integrin linked kinase associates with tubulin and regulates mitotic spindle organization
Bibliographic record
Abstract
Integrin-linked kinase (ILK) is a member of a multiprotein complex at focal adhesions which interacts with actin. Here, it functions as a kinase and adapter protein to regulate diverse cellular processes. Gene knockout studies have demonstrated critical roles for ILK in embryonic development and in organ and tissue homeostasis. However, ILK is overexpressed in many human cancers and experimental overexpression in non-transformed cells results in the acquisition of several oncogenic phenotypes. Proteomic based approaches to identify ILK binding partners have now identified tubulins and many centrosomal and mitotic spindle associated proteins as ILK interactors in addition to the expected focal adhesion, actin interacting, proteins. Further analysis has shown that ILK co-localizes with several of these proteins to the centrosome and inhibition or depletion of ILK causes mitotic spindle defects by disrupting Aurora A kinase/TACC3/ch-TOG interactions. Here we discuss the finding that ILK is a member of a tubulin-based multiprotein complex at the centrosome, and identify potential mechanisms by which ILK regulates the organization of the mitotic spindle. We also discuss the implications of ILK's mitotic role for cancer progression and highlight the potential use of ILK inhibitors as novel anti-mitotic chemotherapeutics.
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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".