Glutathione-dependent and -independent oxidative stress-control mechanisms distinguish normal human mammary epithelial cell subsets
Bibliographic record
Abstract
Mechanisms that control the levels and activities of reactive oxygen species (ROS) in normal human mammary cells are poorly understood. We show that purified normal human basal mammary epithelial cells maintain low levels of ROS primarily by a glutathione-dependent but inefficient antioxidant mechanism that uses mitochondrial glutathione peroxidase 2. In contrast, the matching purified luminal progenitor cells contain higher levels of ROS, multiple glutathione-independent antioxidants and oxidative nucleotide damage-controlling proteins and consume O2 at a higher rate. The luminal progenitor cells are more resistant to glutathione depletion than the basal cells, including those with in vivo and in vitro proliferation and differentiation activity. The luminal progenitors also are more resistant to H2O2 or ionizing radiation. Importantly, even freshly isolated "steady-state" normal luminal progenitors show elevated levels of unrepaired oxidative DNA damage. Distinct ROS control mechanisms operating in different subsets of normal human mammary cells could have differentiation state-specific functions and long-term consequences.
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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 | 0.000 | 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) | 0.001 | 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 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".