Lysosomal enzyme processing and trafficking in the social amoeba <i>Dictyostelium discoideum</i>
Bibliographic record
Abstract
Dictyostelium discoideum is a single-celled protist that undergoes multicellular development in response to nutrient deprivation. For close to a century, D. discoideum has been used as a model system for studying conserved cellular and developmental processes such as chemotaxis, cell adhesion, and cell differentiation. In the later decades of the 20th century, intensive research efforts examined the synthesis, trafficking, and activity of lysosomal enzymes in D. discoideum. Subsequent work revealed that lysosomes are essential for all stages of the D. discoideum life cycle and the genome encodes dozens of homologs of human lysosomal enzymes, including those associated with lysosomal storage diseases. Additionally, protocols for examining the trafficking and activity of lysosomal enzymes in D. discoideum are well-established. Here, we provide a comprehensive up-to-date review that summarizes our current knowledge of lysosomal enzyme processing and trafficking in D. discoideum, with an eye towards re-establishing D. discoideum as a model eukaryote for studying the functions of conserved lysosomal enzymes and the pathways that regulate their trafficking.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".