Glycogen Synthase Kinase-3β Is Complexed with Tau Protein in Brain Microtubules
Bibliographic record
Abstract
In Alzheimer's disease, microtubule-associated protein tau is hyperphosphorylated by an unknown mechanism and is aggregated into paired helical filaments. Hyperphosphorylation causes loss of tau function, microtubule instability, and neurodegeneration. Glycogen synthase kinase-3beta (GSK3beta) has been implicated in the phosphorylation of tau in normal and Alzheimer's disease brain. The molecular mechanism of GSK3beta-tau interaction has not been clarified. In this study, we find that when microtubules are disassembled, microtubule-associated GSK3beta dissociates from microtubules. From a gel filtration column, the dissociated GSK3beta elutes as an approximately 400-kDa complex. When fractions containing the approximately 400-kDa complex are chromatographed through an anti-GSK3beta immunoaffinity column, tau co-elutes with GSK3beta. From fractions containing the approximately 400-kDa complex, both tau and GSK3beta co-immunoprecipitate with each other. GSK3beta binds to nonphosphorylated tau, and the GSK3beta-binding region is located within the N-terminal projection domain of tau. In vitro, GSK3beta associates with microtubules only in the presence of tau. From brain extract, approximately 6-fold more GSK3beta co-immunoprecipitates with tau than GSK3alpha. These data indicate that, in brain, GSK3beta is bound to tau within a approximately 400-kDa microtubule-associated complex, and GSK3beta associates with microtubules via tau.
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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".