Calnuc plays a role in dynamic distribution of Gαi but not Gβ subunits and modulates ACTH secretion in AtT-20 neuroendocrine secretory cells
Bibliographic record
Abstract
In AtT-20 cells ACTH secretion is regulated by both Ca2+ and G proteins. We previously demonstrated that calnuc, an EF-hand Ca2+ binding protein which regulates Alzheimer's beta-amyloid precursor protein (APP) biogenesis, binds both Ca2+ as well as Galpha subunits. Here we investigate calnuc's role in G protein-mediated regulation of ACTH secretion in AtT-20 neuroendocrine secretory cells stably overexpressing calnuc-GFP. Similar to endogenous calnuc, calnuc-GFP is mainly found in the Golgi, on the plasma membrane (PM), and associated with regulated secretion granules (RSG). By deconvolution immunofluorescence, calnuc-GFP partially colocalizes with Galphai1/2 and Galphai3 at the PM and on RSG. Cytosolic calnuc(DeltaSS)-CFP with the signal sequence deleted also partially colocalizes with RSG and partially cosediments with Galphai1/2 in fractions enriched in RSG. Overexpression of calnuc-GFP specifically increases the distribution of Galphai1/2 on the PM whereas the distribution of Gbeta subunits and synaptobrevin 2 (Vamp 2) is unchanged. Overexpression of calnuc-GFP or cytosolic calnuc(DeltaSS)-CFP enhances ACTH secretion two-fold triggered by mastoparan or GTPgammaS but does not significantly affect glycosaminoglycan (GAG) chain secretion along the constitutive pathway or basal secretion of ACTH. Calnuc's facilitating effects on ACTH secretion are decreased after introducing anti-Galphai1/2, Galphai3, Gbeta or calnuc IgG into permeabilized cells but not when Galpha12 or preimmune IgG is introduced. The results suggest that calnuc binds to Galpha subunits on the Golgi and on RSG and that overexpression of calnuc causes redistribution of Galphai subunits to the PM and RSG, indicating that calnuc plays a role in dynamic distribution of only Galpha but not Gbeta subunits. Thus calnuc may connect G protein signaling and calcium signaling during regulated secretion.
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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".