Masterminds or minions? Cysteine proteinases in plant programmed cell deathThis review is one of a selection of papers published in the Special Issue on Plant Cell Biology.
Bibliographic record
Abstract
Cysteine proteinases are ubiquitously involved in programmed cell death (PCD) in multicellular organisms. In animals, one group of cysteine proteinases, the cysteine-dependent aspartate-specific proteinases (caspases), are involved in a proteolytic signalling cascade that controls apoptosis, the most studied form of PCD. The enzymes act as both masterminds and executioners in apoptotic cell death. In plants, members of the metacaspase family, as well as those of the papain-like and legumain families, of cysteine proteinases have all been implicated in PCD. These enzymes often belong to sizeable gene families, with Arabidopsis having 9 metacaspase, 32 papain-like, and 4 legumain genes. This redundancy has made it difficult to ascertain the functional importance of any particular enzyme in plant PCD, as many are often expressed in a given tissue undergoing PCD. As yet, mechanisms similar to the apoptotic caspase cascade in animals have not been uncovered in plants and, indeed, may not exist. Are the various cysteine proteinases, so often implicated in plant PCD, merely acting as minions in the process? This review will outline reports of cysteine proteinases associated with plant PCD, discuss problems in determining the function of specific proteases, and suggest avenues for determining how these enzymes might be regulated and how PCD pathways upstream of protease expression and activation might operate.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".