Protein kinase A mediates novel serine-584 phosphorylation of HDAC4
Bibliographic record
Abstract
Given the well-established diversified signaling pathways for histone deacetylase 4 (HDAC4) and the regulation of HDAC4 by several post-translational modifications (PTMs), including phosphorylation, sumoylation, and ubiquitination, an unbiased and detailed analysis of HDAC4 PTMs is needed. In this study, we used matrix-assisted laser desorption/ionization time of flight (MALDI-TOF/TOF) to describe phosphorylation at serine 584 (Ser584) along with already-known dual phosphorylation at serines 265 and 266 (Ser265/266), that together regulate HDAC4 activity. Overexpression of site-specific HDAC4 mutants (S584A, S265/266A) in HEK 293T cells, followed by HDAC activity assays, revealed the mutants to be less active than the wild-type protein. In vitro kinase assays have established that Ser584 and Ser265/266 are phosphorylated by protein kinase A (PKA). Luciferase assays driven by the myocyte enhancer factor 2 (MEF2) promoter and real-time PCR analysis of the MEF2 target genes show that the S584A and S265/266A mutants are less repressive than the wild-type. Furthermore, treatment with PKA activators such as 8-Bromo-cAMP and forskolin, and silencing either by shRNA or its inhibitor H-89 in a mouse myoblast cell line (C2C12) and in a non-muscle human cell line (K562), confirmed in vivo phosphorylation of HDAC4 in C2C12 but not in K562 cells, indicating the specific functional significance of HDAC4 phosphorylation in muscle cells. Thus, we identified PKA-induced Ser584 phosphorylation of HDAC4 as a yet unknown regulatory mechanism of the HDAC4-MEF2 axis.
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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 | 0.001 |
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".