A proteomic approach to identify developmentally regulated proteins in Leishmania infantum
Bibliographic record
Abstract
We used comparative two-dimensional gel electrophoresis (2-DE) and mass spectrometry methodologies to highlight and identify proteins that are differentially expressed in the intracellular stage of the parasite Leishmania donovani infantum, a causative agent of visceral leishmaniasis. During its digenetic life cycle, Leishmania alternates between the alimentary tract of the sandfly vector as an extracellular promastigote and the acidic phagolysosomes of macrophage cells as an intracellular amastigote. Proteins differentially expressed in the intracellular form of the parasite are thought to be important for intracellular survival and pathogenesis. We used narrow pH range strips for isoelectric focusing to resolve soluble proteins of both developmental stages of L. infantum. More than 62 proteins differentially expressed in amastigotes were detected among approximately 2000 protein spots resolved by 2-DE. A quadrupole time-of-flight analysis of few selected protein spots, specifically expressed in the amastigote stage, permitted the identification of two proteins, part of the energetic metabolism pathways, the isocitrate dehydrogenase and the glycolytic enzyme triosephosphate isomerase. The kinetic parameters of these two enzymes were measured in both developmental stages of the parasite and their activity was indeed found to be higher in amastigotes. These findings bring a new insight in our understanding of metabolic and energy requirements of the intracellular form of Leishmania. Comparative analysis of the proteome of both developmental stages of the protozoan parasite Leishmania should permit the identification of protein candidates for the development of vaccines and new drugs.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".