Functional Characterization of Phosphorylation of 69-kDa Human Choline Acetyltransferase at Serine 440 by Protein Kinase C
Bibliographic record
Abstract
Choline acetyltransferase, the enzyme that synthesizes the transmitter acetylcholine in cholinergic neurons, is a substrate for protein kinase C. In the present study, we used mass spectrometry to identify serine 440 in recombinant human 69-kDa choline acetyltransferase as a protein kinase C phosphorylation site, and site-directed mutagenesis to determine that phosphorylation of this residue is involved in regulation of the enzyme's catalytic activity and binding to subcellular membranes. Incubation of HEK293 cells stably expressing wild-type 69-kDa choline acetyltransferase with the protein kinase C activator phorbol 12-myristate 13-acetate showed time- and dose-related increases in specific activity of the enzyme; in control and phorbol ester-treated cells, the enzyme was distributed predominantly in cytoplasm (about 88%) with the remainder (about 12%) bound to cellular membranes. Mutation of serine 440 to alanine resulted in localization of the enzyme entirely in cytoplasm, and this was unchanged by phorbol ester treatment. Furthermore, activation of mutant enzyme in phorbol ester-treated HEK293 cells was about 50% that observed for wild-type enzyme. Incubation of immunoaffinity purified wild-type and mutant choline acetyltransferase with protein kinase C under phosphorylating conditions led to incorporation of [(32)P]phosphate, with radiolabeling of mutant enzyme being about one-half that of wild-type, indicating that another residue is phosphorylated by protein kinase C. Acetylcholine synthesis in HEK293 cells expressing wild-type choline acetyltransferase, but not mutant enzyme, was increased by about 17% by phorbol ester treatment.
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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 | 0.001 |
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; 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".