Proteomic profiling of the extracellular matrix (slime sheath) of <i>Dictyostelium discoideum</i>
Bibliographic record
Abstract
Dictyostelium discoideum has historically served as a model system for cell and developmental biology, but recently it has gained increasing attention as a model for the study of human diseases. The extracellular matrix (ECM) of this eukaryotic microbe serves multiple essential functions during development. It not only provides structural integrity to the moving multicellular pseudoplasmodium, or slug, it also provides components that regulate cell motility and differentiation. An LC/MS/MS analysis of slug ECM revealed the presence of a large number of proteins in two wild-type strains, NC4 and WS380B. GO annotation identified a large number of proteins involved in some form of binding (e.g. protein, polysaccharide, cellulose, carbohydrate, ATP, cAMP, ion, lipid, vitamin), as well as proteins that modulate metabolic processes, cell movement, and multicellular development. In addition, this proteomic analysis identified numerous expected (e.g. EcmA, EcmD, discoidin I, discoidin II), as well as unexpected (e.g. ribosomal and nuclear proteins) components. These topics are discussed in terms of the structure and function of the ECM during the development of this model amoebozoan and their relevance to ongoing biomedical research.
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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".