Molecular basis for the regulation of human glycogen synthase by phosphorylation and glucose-6-phosphate
Bibliographic record
Abstract
Glycogen synthase (GYS1), in complex with glycogenin (GYG1), is the central enzyme of muscle glycogen biosynthesis, and its inhibition has been proposed as a therapeutic avenue for various glycogen storage diseases (GSDs). GYS1 activity is inhibited by phosphorylation of its N- and C-termini, which can be relieved by allosteric activation of glucose-6-phosphate. However, the structural basis of GYS1 regulation is unclear. Here, we present the first cryo-EM structures of phosphorylated human GYS1 complexed with a minimal interacting region of GYG1 in the inhibited, activated, and catalytically competent states at resolutions of 3.0-4.0 Å. These structures reveal how phosphorylations of specific N- and C- terminal residues are sensed by different arginine clusters that lock the GYS1 tetramer complex in an inhibited state via inter-subunit interactions. The allosteric activator, glucose-6-phopshate, promotes a conformational change by disrupting these interactions and increases flexibility of GYS1 allowing for a catalytically competent state to occur when bound to the sugar donor UDP-glucose. We also identify an inhibited-like conformation that has not transitioned into the activated state, whereby the locking interaction of phosphorylation with the arginine cluster impedes the subsequent conformational changes due to glucose-6-phosphate binding. Finally, we show that the PP1 phosphatase regulatory subunit PPP1R3C (PTG) is recruited to the GYS1:GYG1 complex through direct interaction with glycogen. Our results address long-standing questions into the mechanism of human glycogen synthase regulation.
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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) | 0.001 | 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".