Differential Roles of Glycogen Synthase Kinase-3 Isoforms in the Regulation of Transcriptional Activation
Bibliographic record
Abstract
Glycogen synthase kinase-3 (GSK-3) exists as two structurally similar isoforms, alpha and beta, whose activities are negatively regulated by serine phosphorylation but positively controlled by tyrosine phosphorylation. We used GSK-3 isoform-specific small interfering RNAs, dominant negative mutants, and pharmacological inhibitors to search for the differential roles for both GSK-3 isoforms in regulating transcriptional activation in cultured rat cerebral cortical neurons. GSK-3alpha and GSK-3beta were shown to have differentially regulated transactivation such that GSK-3alpha silencing/inhibition was more robust than GSK-3beta silencing/inhibition in causing cAMP-responsive element- and NF-kappaB-dependent transactivation. Moreover, protein-DNA array studies identified two novel GSK-3-regulated transcription factors, early growth response 1 and Smad3/4, which were oppositely affected by GSK-3alpha or GSK-3beta silencing or inhibition. Taken together, our results underscore critical variations in the function and regulation of GSK-3alpha and GSK-3beta. The development of GSK-3 isoform-specific inhibitors is thus crucial for therapeutic intervention of GSK-3-related neuropathological conditions.
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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) | 0.001 | 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".