Protein Kinase A Phosphorylation of Human Phosphodiesterase 3B Promotes 14-3-3 Protein Binding and Inhibits Phosphatase-catalyzed Inactivation
Bibliographic record
Abstract
Recent studies confirm that intracellular cAMP concentrations are nonuniform and that localized subcellular cAMP hydrolysis by cyclic nucleotide phosphodiesterases (PDEs) is important in maintaining these cAMP compartments. Human phosphodiesterase 3B (HSPDE3B), a member of the PDE3 family of PDEs, represents the dominant particulate cAMP-PDE activity in many cell types, including adipocytes and cells of hematopoietic lineage. Although several previous reports have shown that phosphorylation of HSPDE3B by either protein kinase A (PKA) or protein kinase B (PKB) activates this enzyme, the mechanisms that allow cells to distinguish these two activated forms of HSPDE3B are unknown. Here we report that PKA phosphorylates HSPDE3B at several distinct sites (Ser-73, Ser-296, and Ser-318), and we show that phosphorylation of HSPDE3B at Ser-318 activates this PDE and stimulates its interaction with 14-3-3 proteins. In contrast, although PKB-catalyzed phosphorylation of HSPDE3B activates this enzyme, it does not promote 14-3-3 protein binding. Interestingly, we report that the PKA-phosphorylated, 14-3-3 protein-bound, form of HSPDE3B is protected from phosphatase-dependent dephosphorylation and inactivation. In contrast, PKA-phosphorylated HSPDE3B that is not bound to 14-3-3 proteins is readily dephosphorylated and inactivated. Our data are presented in the context that a selective interaction between PKA-activated HSPDE3B and 14-3-3 proteins represents a mechanism by which cells can protect this enzyme from deactivation. Moreover, we propose that this mechanism may allow cells to distinguish between PKA- and PKB-activated HSPDE3B.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".