Bibliographic record
Abstract
Exosomes are small microvesicles secreted from the late endosomal compartment of cells. Although an increasing body of evidence indicates that they play a pivotal role in cell-to-cell communication, the biological functions of exosomes are far from fully understood. Recent work has revealed detailed proteomic profiles of exosomes from cell lines and body fluids, which may provide clues to understanding their biological significance and general importance in human diseases. Metalloproteinases include the cell surface-anchored sheddases a disintegrin and metalloproteinases, as well as cell surface-bound and soluble matrix metalloproteinases and these extracellular proteases have been detected in exosomes by proteomic analyses. Exosomes play a key role in the transfer of proteins to other cells and metalloproteinases may provide a novel platform where ectodomain shedding by these membrane proteases alters the makeup of the recipient cell's surface. This review aims to address some of the facets of exosome biology with particular emphasis on the proteolytic factors and we discuss their potential involvement in human diseases, especially tumor biology.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".