Rapid Isolation of Undifferentiated Human Pluripotent Stem Cells from Extremely Differentiated Colonies
Bibliographic record
Abstract
Conventionally, researchers remove spontaneously differentiated areas in human pluripotent stem cell (hPSC) colonies by using a finely drawn glass pipette or a commercially available syringe needle. However, when extreme differentiation occurs, it is inefficient to purify the remaining undifferentiated cells, as these undifferentiated areas are too small to be isolated completely with the mechanical method. Antibodies can be utilized to purify the rare undifferentiated cells; however, this type of purification cannot be used in xeno-free culture systems. To avoid the loss of valuable hPSCs, we developed a novel method to isolate undifferentiated hPSCs from extremely differentiated colonies that could be easily adapted to xeno-free culture conditions. This protocol involves dissecting away differentiated areas, dissociating the remaining colony into clumps, seeding small clumps into new dishes, and picking undifferentiated colonies for expansion. Using this method, we routinely achieve completely undifferentiated colonies in one passage without the use of antibody-based purification.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".