Post‐translational modification of cellular proteins during <b><i>Leishmania donovani</i></b> differentiation
Bibliographic record
Abstract
The pathogenic intracellular parasites Leishmania donovani cycle between sand fly gut and the human macrophage phagolysosome, differentiating from extracellular promastigotes to intracellular amastigote forms. Using isobaric tagging for relative and absolute quantifications (iTRAQ/LC-MS/MS) proteomic methodology, we recently described the ordered gene expression changes during this process. While protein abundance changes in Leishmania were documented, little is known about their PTMs. Here we used iTRAQ to detect protein phosphorylation, methylation, acetylation, and glycosylation sites throughout differentiation. We found methylation of arginines, aspartic acids, glutamic acids, asparagines, and histidines. Detected acetylation sites included serines and protein N-terminal acetylations on methionines, serines, alanines, and threonines. Phosphorylations were detected on serines and threonines, but not tyrosines. iTRAQ identified novel fucosylation sites as well as hexosylations. We observed quantity changes in some modifications during differentiation, suggesting a role in L. donovani intracellular development. This study is the first high-throughput analysis of PTM sites dynamics during an intracellular parasitic development.
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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) | 0.000 | 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".