<scp>C</scp>a<sup>2+</sup>‐calmodulin interacts with <scp>D</scp>d<scp>CAD</scp>‐1 and promotes <scp>D</scp>d<scp>CAD</scp>‐1 transport by contractile vacuoles in <i><scp>D</scp>ictyostelium</i> cells
Bibliographic record
Abstract
The Ca(2+) -dependent cell-cell adhesion molecule DdCAD-1, encoded by the cadA gene of Dictyostelium discoideum, is synthesized at the onset of development as a soluble protein and then transported to the plasma membrane by contractile vacuoles. Calmodulin associates with contractile vacuoles in a Ca(2+) -dependent manner, and co-localizes with DdCAD-1 on the surface of contractile vacuoles. Bioinformatics analysis revealed multiple calmodulin-binding motifs in DdCAD-1. Co-immunoprecipitation and pull-down studies showed that only Ca(2+) -bound calmodulin was able to bind DdCAD-1. Structural integrity of DdCAD-1, but not the native conformation, was required for its interaction with calmodulin. To investigate the role of calmodulin in the import of DdCAD-1 into contractile vacuoles, an in vitro import assay consisting of contractile vacuoles derived from cadA(-) cells and recombinant proteins was employed. Prior stripping of the bound calmodulin from contractile vacuoles by EGTA impaired import of DdCAD-1, which was restored by addition of exogenous calmodulin. The calmodulin antagonists W-7 and compound 48/80 blocked the binding of calmodulin onto stripped contractile vacuoles, and inhibited the import of DdCAD-1. Together, the data show that calmodulin forms a complex with DdCAD-1 and promotes the docking and import of DdCAD-1 into contractile vacuoles. STRUCTURED DIGITAL ABSTRACT: CaM physically interacts with DdCAD-1 by pull down (View Interaction: 1, 2) DdCAD-1 binds to CaM by far western blotting (View interaction) DdCAD-1 physically interacts with CaM by anti bait coimmunoprecipitation (View interaction).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".