Induced Pluripotent Stem Cells and Disorders of the Nervous System
Bibliographic record
Abstract
Advances in cellular reprograming have shown that the delivery of specific transcription factors can result in the shift of one cell type to another. Brief forced expression of the four Yamanaka reprogramming factors (Klf4, Sox2, c-Myc, and Oct4) is able to convert many cell types into induced pluripotent stem cells, whereas some lineage specific transcription factors can convert cells from one type directly to another. Numerous strategies have already been developed for deriving neural cell types, with the hopes of better understanding/alleviating neurodegenerative disease. These cells facilitate drug discovery and constitute an autologous source of cells for brain repair, thus, avoiding rejection issues faced by allografts derived from embryonic stem cells. However, proper characterization of the various types of reprogrammed cells and an understanding of how these cells acquire neural fate is necessary before their translation into the clinic. Here, we review the progress, problems, and prospects with reprogrammed cell types with regards to neurodegenerative disease.
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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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".