A human embryonic stem cell line adapted for high throughput screening
Bibliographic record
Abstract
Human embryonic stem cells (hESCs) can be differentiated into multiple cell types with great therapeutic potential. However, optimizing the often multi-week cultures to obtain sufficient differentiated cell yields has been in part limited by the high variability of even parallel hESC differentiation cultures. We describe the isolation and features of a subline of CA1 hESCs (CA1S) that display a very high 25% cloning efficiency while retaining many properties of the parental hESCs, including being karyotypically normal and their ability to generate teratomas containing all three germ layers. Although more detailed analysis revealed that CA1S cells have a 3.8 Mb genomic duplication on chromosome 20, they remain highly useful. In particular, CA1S cells are readily expanded at high yields in culture and possess greatly reduced well-to-well variation even when seeded at 100 cells/well. Thus, 10(8) CA1S cells can be generated within one week from 10(6) cells to seed 10(6) wells. We determined that CA1S cells have the capacity to follow established in vitro differentiation protocols to pancreatic progenitors and subsequent hormone-positive cell types and used CA1S cells to explore definitive endoderm induction in a high performance screen (Z-factor = 0.97). This system revealed that CA1S cells do not require WNT3A to efficiently form definitive endoderm, a finding that was confirmed with H1 hESCs, although H1 cells did show modest benefits of high WNT3A doses. Proliferative index measurements of CA1S cells were shown to rapidly reflect their differentiation status in a high throughput system. Though results obtained with CA1S cells will need to be confirmed using conventional hESC lines, these cells should ease the development of optimized hESC growth and differentiation protocols. In particular, they should limit the more arduous secondary screens using hESCs to a smaller number of variables and doses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".