Mitochondrial Thioredoxin System
Bibliographic record
Abstract
Thioredoxin-2 (Trx2) is a mitochondrial protein-disulfide oxidoreductase essential for control of cell survival during mammalian embryonic development. This suggests that mitochondrial thioredoxin reductase-2 (TrxR2), responsible for reducing oxidized Trx2, may also be a key player in the regulation of mitochondria-dependent apoptosis. With this in mind, we investigated the effects of overexpression of TrxR2, Trx2, or both on mammalian cell responses to various apoptotic inducers. Stable transfectants of mouse Neuro2A cells were generated that overexpressed TrxR2 or an EGFP-TrxR2 fusion protein. EGFP-TrxR2 was enzymatically active and was localized in mitochondria. TrxR2 protein level and TrxR activity could be increased up to 6-fold in mitochondria. TrxR2 and EGFP-TrxR2 transfectants showed reduced growth rates as compared with control cells. This growth alteration was not due to cytotoxic effects nor related to changes in basal mitochondrial transmembrane potential (DeltaPsi(m)), reactive oxygen species production, or to other mitochondrial antioxidant components such as Trx2, peroxyredoxin-3, MnSOD, GPx1, and glutathione whose levels were not affected by increased TrxR2 activity. In response to various apoptotic inducers, the extent of DeltaPsi(m) dissipation, reactive oxygen species induction, caspase activation, and loss of viability were remarkably similar in TrxR2 and control transfectants. Excess TrxR2 did not prevent trichostatin A-mediated neuronal differentiation of Neuro2A cells nor did it protect them against beta-amyloid neurotoxicity. Neither massive glutathione depletion nor co-transfection of Trx2 and TrxR2 in Neuro2A (mouse), COS-7 (monkey), or HeLa (human) cells revealed any differential cellular resistance to prooxidant or non-oxidant apoptotic stimuli. Our results suggest that neither Trx2 nor TrxR2 gain of function modified the redox regulation of mitochondria-dependent apoptosis in these mammalian cells.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.007 |
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".