The γ‐glutamylcysteine synthetase gene of Leishmania is essential and involved in response to oxidants
Bibliographic record
Abstract
Gamma-glutamylcysteine synthetase, encoded by the GSH1 gene, is the rate-limiting enzyme in the biosynthesis of glutathione and of trypanothione in Leishmania. The importance of GSH1 was assessed by generating GSH1 null mutants in Leishmania infantum. Removal of even a single wild-type allelic copy of GSH1 invariably led to the generation of an extra copy of GSH1, maintaining two intact wild-type alleles. However, by first supplementing the parasites with a rescue plasmid, we succeeded in obtaining both a single and null chromosomal GSH1 mutants. Parasites with one intact GSH1 chromosomal allele lost the rescuing plasmid but not the double knockout, when grown in the absence of antibiotic, indicating the essentiality of the GSH1 gene in Leishmania. Heterozygous mutants with one allele-inactivated transcribed less GSH1 mRNA and synthesized less glutathione and trypanothione. These mutants were more susceptible to oxidative stresses in vitro as promastigotes and showed decreased survival inside activated macrophages producing reactive oxygen or nitrogen species. These mutants showed a significant decreased survival in the presence of antimony (SbV) compared with control cells. All phenotypes were reverted in the add-back mutant, thus proving the importance of thiols in dealing with oxidants including the action of antimonials.
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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".