Acetylation of Axonal G3BP1 through ELP3 Accelerates Axon Regeneration
Bibliographic record
Abstract
Nerve injury triggers localized translation of axonal mRNAs to respond to injury and nerve regeneration. The core stress granule protein G3BP1 sequesters axonal mRNAs in granules before and after axotomy. G3BP1 granule disassembly can be regulated by post-translational modifications, including phosphorylation of S149 phosphorylation and acetylation of human K376 (mouse K374). Axonal G3BP1 undergoes phosphorylation after axotomy, but acetylation of G3BP1 in axons was unknown. Here we show that rodent G3BP1 undergoes K374 acetylation after axotomy is ELP3-dependent, which enhances axonal protein synthesis, accelerates nerve regeneration, and supports functional recovery. ELP3-depleted neurons exhibit reduced axon growth and increased axonal G3BP1 granules. The proximal axons degenerate rapidly despite maintaining soma connectivity, an effect prevented by expression of acetylmimetic G3BP1.Together, these findings identify G3BP1 acetylation via ELP3 as a critical regulator of both axonal regeneration and neuronal resilience, revealing a post-translational mechanism that links stress granule regulation to neuronal repair and protection.
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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) | 0.002 | 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".