Subnanometer resolution cryo-EM structure of <i>Arabidopsis thaliana</i> ATG9
Bibliographic record
Abstract
Macroautophagy/autophagy is an essential process for the maintenance of cellular homeostasis by recycling macromolecules under normal and stress conditions. ATG9 (autophagy related 9) is the only integral membrane protein in the autophagy core machinery and has a central role in mediating autophagosome formation. In cells, ATG9 exists on mobile vesicles that traffic to the growing phagophore, providing an essential membrane source for the formation of autophagosomes. Here we report the three-dimensional structure of ATG9 from Arabidopsis thaliana at 7.8 Å resolution, determined by single particle cryo-electron microscopy. ATG9 organizes into a homotrimer, with each protomer contributing at least six transmembrane α-helices. At the center of the trimer, the protomers interact via their membrane-embedded and C-terminal cytoplasmic regions. Combined with prediction of protein contacts using sequence co-evolutionary information, the structure provides molecular insights into the ATG9 architecture and testable hypotheses for the molecular mechanism of autophagy progression regulated by ATG9.Abbreviations 2D: 2-dimensional; 3D: 3-dimensional; AtATG9: Arabidopsis ATG9; Atg: autophagy-related; ATG9: autophagy-related protein 9; cryo-EM: cryo-electron microscopy; DDM: dodecyl maltoside; GraDeR: gradient-based detergent removal; LMNG: lauryl maltose-neopentyl glycol; PAS: phagophore assembly site; PtdIns3K: phosphatidylinositol 3-kinase.
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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".