Insider Information: How Palmitoylation of Ras Makes It a Signaling Double Agent
Bibliographic record
Abstract
Ras small guanosine triphosphatases (GTPases) are involved in the regulation of cell growth, differentiation, and survival and are mutated in as many as 30% of human cancers. These proto-oncogenic GTPases are mostly involved in the activation of signaling cascades downstream from growth factor receptors and lead to transcriptional activation of specific genes. Because of a complex series of posttranslational COOH-terminal modifications, Ras proteins are found on various intracellular membranes, in addition to the plasma membrane. Using a novel fluorescent probe monitoring GTP-bound Ras in live cells (GFP-Raf-1-RBS), Golgi-associated H-Ras was shown to be activated in situ after growth factor stimulation, with kinetics distinct from that of H-Ras activation at the plasma membrane. Furthermore and also noteworthy, an oncogenic H-Ras chimera that was tethered to the endoplasmic reticulum activated the extracellular signal-regulated kinase (ERK) and Akt pathways preferentially, whereas a Golgi-tethered oncogenic H-Ras chimera activated predominantly the Jun-NH2-terminal kinase (JNK) pathway. Thus, the subcellular localization of Ras influenced which downstream effector pathways were engaged. The activation of Golgi-H-Ras may be mediated by second messengers through the action of a Golgi-localized guanine nucleotide exchange factor, Ras-GRP.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.014 |
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".