BIM and NOXA are mitochondrial effectors of TAF6δ-driven apoptosis
Bibliographic record
Abstract
TAF6δ is a pro-apoptotic splice variant of the RNA polymerase II general transcription factor, TAF6, that can dictate life vs. death decisions in animal cells. TAF6δ stands out from classical pro-apoptotic proteins because it is encoded by a gene that is essential at the cellular level, and because it functions as a component of the basal transcription machinery. TAF6δ has been shown to modulate the transcriptome landscape, but it is not known if changes in gene expression trigger apoptosis nor which TAF6δ-regulated genes contribute to cell death. Here we used microarrays to interrogate the genome-wide impact of TAF6δ on transcriptome dynamics at temporal resolution. The results revealed changes in pro-apoptotic BH3-only mitochondrial genes that correlate tightly with the onset of cell death. These results prompted us to test and validate a role for the mitochondrial pathway by showing that TAF6δ expression causes cytochrome c release into the cytoplasm. To further dissect the mechanism by which TAF6δ drives apoptosis, we pinpointed BIM and NOXA as candidate effectors. siRNA experiments showed that both BIM and NOXA contribute to TAF6δ-dependent cell death. Our results identify mitochondrial effectors of TAF6δ-driven apoptosis, thereby providing the first of mechanistic framework underlying the atypical TAF6δ apoptotic pathway's capacity to intersect with the classically defined apoptotic machinery to trigger cell death.
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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 | 0.000 | 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".