Frataxin deficiency enhances apoptosis in cells differentiating into neuroectoderm
Bibliographic record
Abstract
Deficiency of the mitochondrial matrix protein frataxin causes Friedreich ataxia. Frataxin function is believed to be related to mitochondrial iron metabolism and free radical production. In Friedreich ataxia, loss of dorsal root ganglia neurons occurs early in life, suggesting a developmental process. In addition, frataxin knockout mice die during embryonic life, further suggesting that frataxin is necessary for normal development. In this study we examine the role of frataxin in neuronal differentiation by using the P19 embryonic carcinoma cell line as a model system. We produced stably transfected clones with antisense or sense frataxin constructs. During retinoic acid-induced neurogenesis of frataxin-deficient cells there was a striking rise in cell death, while cell division remained unaffected. However, frataxin deficiency does not affect cell survival in cells induced to differentiate into cardiomyocytes. Frataxin deficiency enhances apoptosis of retinoic acid-stimulated cells, and the number of neuronal-like cells expressing MAP2 was dramatically reduced in these clones. In addition, we found that antisense clones induced to differentiate into neuroectoderm with retinoic acid have increased production of reactive oxygen species, and that only cells non-committed to the neuronal lineages could be rescued by the addition of the antioxidant N-acetyl-cysteine (NAC). However, NAC treatment had no effect in increasing the number of terminally differentiated neuronal-like cells in frataxin-deficient clones. Our results suggest that frataxin deficiency may render cells susceptible to apoptosis after exposure to appropriate stimuli.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".