Regulation of spatiotemporal expression of cell–cell adhesion molecules during development of <i>Dictyostelium discoideum</i>
Bibliographic record
Abstract
The social amoeba Dictyostelium discoideum is a simple but powerful model organism for the study of cell-cell adhesion molecules and their role in morphogenesis during development. Three adhesive systems have been characterized and studied in detail. The spatiotemporal expression of these adhesion proteins is stringently regulated, often coinciding with major shifts in the morphological complexity of development. At the onset of development, amoeboid cells express the Ca(2+) -dependent cell-cell adhesion molecule DdCAD-1, which initiates weak homophilic interactions between cells and assists in the recruitment of individuals into cell streams. DdCAD-1 is unique because it is synthesized as a soluble protein in the cytoplasm. It is targeted for presentation on the cell surface by an unconventional protein transport mechanism via the contractile vacuole. Concomitant with the aggregation stage is the expression of the contact sites A glycoprotein csA/gp80 and TgrC1, both of which mediate Ca(2+) /Mg(2+) -independent cell-cell adhesion. Whereas csA/gp80 is a homophilic binding protein, TgrC1 binds to a heterophilic receptor on the cell. During cell aggregation, csA/gp80 associates preferentially with lipid rafts, which facilitate the rapid assembly of adhesion complexes. TgrC1 is synthesized at low levels during aggregation and rapid accumulation occurs initially in the peripheral cells of loose mounds. The extracellular portion of TgrC1 is shed and becomes part of the extracellular matrix. Additionally, analyses of knockout mutants have revealed important biological roles played by these adhesion proteins, including size regulation, cell sorting and cell-type proportioning.
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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".