The identification of <b><i>Dictyostelium</i></b> phosphoproteins altered in response to the activation of RasG
Bibliographic record
Abstract
Dictyostelium RasG has been implicated in the regulation of a variety of cellular processes, including the initiation of development, cell movement, and cytokinesis, but the molecular components of the signaling pathways involved are largely unknown. We used a tetracycline-regulated protein expression system to study the effect of activated RasG, RasG(G12T), expression on the phosphorylation state of Dictyostelium proteins. Over 70 vegetative phosphoprotein components were resolved by two-dimensional (2-D) immunoblot analysis and of these 16 phosphothreonine and three phosphotyrosine protein components were found to reproducibly change upon RasG(G12T) expression. Thirteen of these were recovered from 2-D gels and identified by mass spectrometry of in-gel tryptic digestions. The proteins identified include the signaling proteins RasGEF-R and protein kinase B, the adhesion protein DdCAD-1, the cytoskeletal protein actin, the mitochondrial division protein FtsZA, and proteins involved in translation and metabolism. In addition to the direct demonstration of the phosphorylation of putative downstream targets of RasG activation, these findings reveal previously undetected phosphorylation of several proteins.
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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) | 0.001 | 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".