Prefractionation by Digitonin Extraction Increases Representation of the Cytosolic and Intracellular Proteome of <i>Leishmania </i><i>i</i><i>nfantum</i>
Bibliographic record
Abstract
Proteome coverage is limited by the dynamic range of proteins present in a sample and often is confined to the analysis of abundant proteins. We have developed a protein prefractionation protocol, based on the differential solubilization of membranes using digitonin, that has allowed an increase in the resolution and depth of comparative proteomic studies. This prefractionation protocol can also be used to infer the subcellular localization of hypothetical proteins as tested experimentally using green fluorescent fusion proteins. The abundant tubulins and associated proteins of the cytoskeleton were removed from the sample using digitonin extraction, hence facilitating the visualization of lower abundance proteins. The digitonin prefractionation protocol was applied for a comparative proteomic analysis of the promastigote and amastigote life cycle stages of Leishmania infantum and has allowed the identification of novel proteins expressed in a stage-specific manner.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".