In tobacco leaf epidermal cells, the integrity of protein export from the endoplasmic reticulum and of ER export sites depends on active COPI machinery
Bibliographic record
Abstract
Trafficking of secretory proteins between the endoplasmic reticulum (ER) and the Golgi apparatus depends on coat protein complexes I (COPI) and II (COPII) machineries. To date, full characterization of the distribution and dynamics of these machineries in plant cells remains elusive. Furthermore, except for a presumed linkage between COPI and COPII for the maintenance of ER protein export, the mechanisms by which COPI influences COPII-mediated protein transport from the ER in plant cells are largely uncharacterized. Here we dissect the dynamics of COPI in intact cells using live-cell imaging and fluorescence recovery after photobleaching analyses to provide insights into the distribution of COPI and COPII machineries and the mechanisms by which COPI influences COPII-mediated protein export from the ER. We found that Arf1 and coatomer are dynamically associated with the Golgi apparatus and that the COPII coat proteins Sec24 and Sec23 localize at ER export sites that track with the Golgi apparatus in tobacco leaf epidermal cells. Arf1 is also localized at additional structures that originate from the Golgi apparatus but that lack coatomer, supporting the model that Arf1 also has a coatomer-independent role for post-Golgi protein transport in plants. When ER to Golgi protein transport is inhibited by mutations that hamper Arf1-GTPase activity without directly disrupting the COPII machinery for ER protein export, Golgi markers are localized in the ER and the punctate distribution of Sec24 and Sec23 at the ER export sites is lost. These findings suggest that Golgi membrane protein distribution is maintained by the balanced action of COPI and COPII systems, and that Arf1-coatomer is most likely indirectly required for forward trafficking out of the ER due to its role in recycling components that are essential for differentiation of the ER export domains formed by the Sar1-COPII system.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".