Telomerase and neuronal marker status of differentiated NT2 and SK‐N‐SH human neuronal cells and primary human neurons
Bibliographic record
Abstract
Upon treatment with retinoic acid, NTera-2 (NT2) human teratocarcinoma and SK-N-SH neuroblastoma cells can be induced to terminally differentiate into postmitotic neuronal cells. The neuronal cell yield obtained from the NT-2 cells is partially dependent on the time of differentiation (24-55 days). SK-N-SH cells differentiate into a mixed population of neuronal and epithelium-like cells. Here we report modified protocols that increase the number of differentiated NT-2 and SK-N-SH cells and that establish an enriched neuronal SK-N-SH-derived cell population essentially devoid of nonneuronal cells. Differentiated cells express the cytoskeleton-associated protein tau and other typical neuronal markers, such as Map2, Ngn1, NeuroD, Mash1, and GluR which are also expressed in primary human fetal neurons. Telomerase activity is down-regulated in differentiated cells, which is consistent with the telomerase status of primary fetal human neurons. Thus, differentiated NT2 and SK-N-SH cells may represent an excellent source for studies investigating the role of telomerase or other survival-promoting activities in protecting human neuronal cells from cell death-mediating stresses associated with neurodegenerative diseases.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".