Post-Passage rock inhibition induces cytoskeletal aberrations and apoptosis in Human embryonic stem cells
Bibliographic record
Abstract
Human embryonic stem cells (hESCs) and induced pluripotent stem cells (hiPSCs) are prone to anoikis after single cell dissociation. The small molecule, Y-27632 is known to increase survival of hESCs and hiPSCs by inhibiting the Rho-associated protein kinase (ROCK). However, the underlying mechanisms are still unclear. Here, we thoroughly screened small molecules to investigate the adhesion and survival of hESCs in adherent culture. Y-27632 provided higher adhesion and survival of hESCs by increased cell migration and preventing cell blebbing in single dissociated cells. The combination of Matrigel with poly-d-lysine increased the attachment and survival of dissociated cells via actin filament and microtubule spreading in Y-27632-treated cells. Although Y-27632 prevented apoptosis by suppressing actin filament contraction, microtubule bundling, and blebbing, prolonged Y-27632 treatment presented a different morphology in the attached growing hESC colony. It induced apoptosis of cells by promoting cytoplasmic spread, E-cadherin structural change, and increased detachment. It also induced actin cytoskeleton disruption, combined with microtubule and intermediate filament elongation. For optimal hPSC culture, our research suggests that Y-27632 should be removed shortly after passaging.
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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 | 0.000 |
| 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".