A comprehensive characterization of membrane vesicles released by autophagic human endothelial cells
Bibliographic record
Abstract
The stress status of the apoptotic cell can promote phenotypic changes that have important consequences on the immunogenicity of the dying cell. Autophagy is one of the biological processes activated in response to a stressful condition. It is an important mediator of intercellular communications, both by regulating the unconventional secretion of molecules, including interleukin 1β, and by regulating the extracellular release of ATP from early stage apoptotic cells. Additionally, autophagic components can be released in a caspase-dependent manner by serum-starved human endothelial cells that have engaged apoptotic and autophagic processes. The nature and the components of the extracellular vesicles released by dying autophagic cells are not known. In this study, we have identified extracellular membrane vesicles that are released by human endothelial cells undergoing apoptosis and autophagy, and characterized their biochemical, ultrastructural, morphological properties as well as their proteome. These extracellular vesicles differ from classical apoptotic bodies because they do not contain nucleus components and are released independently of Rho-associated, coiled-coil containing protein kinase 1 activation. Instead, they are enriched with autophagosomes and mitochondria and convey various danger signals, including ATP, suggesting that they could be involved in the modulation of innate immunity.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".