Rapid peroxisomal responses to ROS suggest an alternative mechanistic model for post-biogenesis peroxisomal life cycle in plants
Bibliographic record
Abstract
Plants adapt to and survive in some of the harshest environments. Their success can be ascribed to an ability to maintain an optimal subcellular redox environment. Peroxisomes, ubiquitous ROS producing and scavenging organelles in eukaryotes play an important role in cellular homeostasis. Recently the formation of thin membrane extensions called peroxules has provided further evidence for peroxisomal role in rapidly sensing and responding to alterations in subcellular ROS. Within a cell the transient extension and retraction of peroxules is asynchronous but takes place within seconds. Peroxules follow tracks defined by tubules of the endoplasmic reticulum and their formation does not appear to involve an elaborate transcriptional-translational machinery. Rather the rapidity of peroxisomal responses suggests ROS instigated membrane modifications aimed at local ROS scavenging or leading to peroxisome elongation prior to their fission for increasing peroxisome numbers within a cell. A model on post-biogenesis peroxisomal life-cycle taking cognizance of rapid peroxisomal responses is presented.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.012 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".