Depletion of Integrin‐Linked Kinase (ILK) from Primary Mouse Hepatocytes Leads to Apoptosis
Bibliographic record
Abstract
Integrin‐linked kinase (ILK) is an important component of cell‐matrix adhesions, able to bind to β1‐integrins and it therefore connects the extracellular matrix to the inner compartment of the cell. ILK has been implicated in many fundamental cellular processes such as differentiation, proliferation, and survival. In this study, we investigated the role of ILK in primary mouse hepatocytes. Our results demonstrate that depletion of ILK from mouse hepatocytes leads to massive apoptosis. Mouse hepatocytes were first isolated from ILK‐floxed animals by collagenase perfusion, and were subsequently infected with either β‐gal or Cre‐recombinase adenovirus. Cells were then harvested at different time points for western blot analyses as well as caspase 3 activity measurements. Depletion of ILK in primary mouse hepatocytes was accompanied by increased caspase 3 activity and significant inhibition of PINCH, and α‐parvin, which along with ILK form a stable well‐characterized ternary complex at cell‐matrix adhesions. These results suggest that ILK is essential for the survival of primary hepatocytes therefore more experiments are underway to elucidate the molecular mechanism underlying this phenomenon. This work was supported by NIH grant CA35373.to G.K.M., and NIH grants GM65188 and DK54639 to C.W.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".