The histone methylase KMTox interacts with the redox‐sensor peroxiredoxin‐1 and targets genes involved in <i>Toxoplasma gondii</i> antioxidant defences
Bibliographic record
Abstract
The ability of living cells to alter their gene expression patterns in response to environmental changes is essential for viability. Oxidative stress represents a common threat for all aerobic life. In normally growing cells, in which hydrogen peroxide generation is transient or pulsed, the antioxidant systems efficiently control its concentration. Intracellular parasites must also protect themselves against the oxidative burst imposed by the host. In this work, we have investigated the role of KMTox, a new histone lysine methyltransferase, in the obligate intracellular parasite Toxoplasma gondii. KMTox is a nuclear protein that holds a High Mobility Group domain, which is thought to recognize bent DNA. The enzyme methylates both histones H4 and H2A in vitro with a great preference for the substrate in reduced conditions. Importantly, KMTox interacts specifically with the typical 2-cys peroxiredoxin-1 and the binding is to some extent enhanced upon oxidation. It appears that the cellular functions that are primarily regulated by the KMTox are antioxidant defences and maintenance of cellular homeostasis. KMTox may regulate gene expression in T. gondii by providing the rapid re-arrangement of chromatin domains and by interacting with the redox-sensor TgPrx1 contribute to establish the antioxidant 'firewall' in T. gondii.
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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".