Phosphorylation of STAT3 Serine-727 by Cyclin-Dependent Kinase 1 Is Critical for Nocodazole-Induced Mitotic Arrest
Bibliographic record
Abstract
Signal transducer and activator of transcription 3 (STAT3) mediates cellular responses to diverse cytokines and growth factors by modulating the expression of specific target genes. While phosphorylation of STAT3 at Tyr-705 has been demonstrated to be a prerequisite for STAT3 dimerization, nuclear translocation, and activation of gene transcription, the role of Ser-727 in regulation of STAT3 activity is controversial. Kinetworks KPSS-1.1 phospho-site screening of nocodazole-treated HeLa cells revealed that STAT3 Ser-727 phosphorylation was enhanced during mitosis, and this correlated with a reduction of Tyr-705 phosphorylation. Overexpression of STAT3 mutants in which these phosphorylation sites were separately abolished revealed that phosphorylation at these sites appeared to be mutually antagonistic. The nocodazole-induced STAT3 Ser-727 phosphorylation was reduced by selective inhibition of CDK1 phosphotransferase activity, and CDK1 could directly phosphorylate GST-STAT3 Ser-727 in vitro and co-immunoprecipitate with STAT3 in vivo. Blocking Ser-727 phosphorylation enhanced STAT3 DNA-binding activity toward its target gene promoters, implying a negative effect of Ser-727 phosphorylation on its transcriptional activity. Interference of Ser-727 phosphorylation resulted in an exit from mitotic arrest induced by nocodazole treatment and a cell cycle arrest at the G1 phase, as indicated by the accumulation of 2N cell population and enhanced expression of G1 cell cycle regulators including p21(CIP1/WAF1), p27(Kip1), and cyclin E. Taken together, our observations point to a novel role of STAT3 Ser-727 phosphorylation in control of the onset and maintenance of the M phase during the cell cycle through downregulation of CDK inhibitors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".