Characterization of putative mitochondrial processing peptidase α‐subunit in <i>Trypanosoma brucei</i>
Bibliographic record
Abstract
Trypanosoma brucei , the causative agent of African sleeping sickness, contains a single mitochondrion which imports proteins responsible for RNA editing process. Using RNA interference (RNAi), this study aims to characterize the gene Tb 11.02.1480, annotated as mitochondrial processing peptidase α‐subunit (MPP‐α) that is believed to cleave mitochondrial import signal to aid protein maturation. Severe growth inhibition resulted from RNAi. Analysis of transcript level by RT‐PCR showed a 2–8 fold accumulation in pre‐edited mRNAs that encode electron transport chain components apocytochrome b, ATP synthase subunit 6 and NADH‐ubiquinone oxidoreductase subunit 3 (ND3), along with relatively unchanged levels of never‐edited mRNAs ND4 and cytochrome oxidase 1. Mitochondrial extract prepared from glycerol gradient fractionation suggest disruption of editosome integrity, although maturation of editosome subunit KREL1 was unaffected. These observations suggest that the proposed MPP‐α in T brucei might not be involved in protein import as reported in other species; but impaired RNA editing activity suggest this protein contributes to editosome stability. This was supported by computational analysis where this protein appears to interact with editosome accessory proteins MRP. Ongoing work on identification of protein interacting partners would allow further elucidation of gene function.
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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 | 0.001 |
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".