Human embryonic stem cells: caught between a ROCK inhibitor and a hard place
Bibliographic record
Abstract
Since their derivation, human embryonic stem (hES) cells have been used for a variety of applications including developmental biology, pathology, chemical biology, genomics, and proteomics. However, their most important potential application is the generation of cells and tissues, which can be used for cell-based therapies. One of the main drawbacks of hES cell culture is that they are particularly sensitive to dissociation, which is required for passaging, expansion, cryopreservation, and other applications. Recently, it has been discovered that an inhibitor of Rho kinase (ROCKi; Y-27632) increases the survival rate of dissociated, single hES cells. This breakthrough has allowed new methods in hES cell culture to be developed, with the promise of increasing hES cell numbers into the realm of clinical relevance. In our studies demonstrating that ROCKi dramatically increases hES cell cryopreservation efficiency, we have observed that ROCKi treatment does not decrease hES cell's susceptibility to apoptosis. Rather, we hypothesize that ROCKi treatment desensitizes single hES cells to their environment reducing the odds that individual cells will undergo anoikis.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".