G protein specificity of dopamine D2S receptor signaling in cell growth and proliferation
Bibliographic record
Abstract
A wide range of hormonal, developmental and growth factors regulate cellular growth and proliferation events through receptors that couple to heterotrimeric G proteins. Upon activation of the receptor by its ligand the G protein is activated and subsequent dissociation of alpha subunit from betagamma dimer initiates a cascade of intracellular signaling events. Dopamine D2 receptors, short form (D2S) and long form (D2L) have been implicated in diverse physiological functions including the regulation of pituitary cell proliferation. Although in neuro-endocrine cells, the D2 receptor is traditionally known as an inhibitory receptor since it couples to "inhibitory" G proteins (Gi/Go), a stimulatory role of this receptor has been reported in many non-neuronal cell systems involving growth-related signaling pathways. In this thesis, I have investigated the role of the dopamine D2S receptor in cell growth under the hypothesis that "D2S receptor couples specifically to multiple combinations of Gi/o protein subtypes to initiate specific signaling pathways contributing to cellular proliferation".
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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) | 0.002 | 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".