Formation and release of arrestin domain-containing protein 1-mediated microvesicles (ARMMs) at plasma membrane by recruitment of TSG101 protein
Bibliographic record
Abstract
Mammalian cells are capable of delivering multiple types of membrane capsules extracellularly. The limiting membrane of late endosomes can fuse with the plasma membrane, leading to the extracellular release of multivesicular bodies (MVBs), initially contained within the endosomes, as exosomes. Budding viruses exploit the TSG101 protein and endosomal sorting complex required for transport (ESCRT) machinery used for MVB formation to mediate the egress of viral particles from host cells. Here we report the discovery of a virus-independent cellular process that generates microvesicles that are distinct from exosomes and which, like budding viruses, are produced by direct plasma membrane budding. Such budding is driven by a specific interaction of TSG101 with a tetrapeptide PSAP motif of an accessory protein, arrestin domain-containing protein 1 (ARRDC1), which we show is localized to the plasma membrane through its arrestin domain. This interaction results in relocation of TSG101 from endosomes to the plasma membrane and mediates the release of microvesicles that contain TSG101, ARRDC1, and other cellular proteins. Unlike exosomes, which are derived from MVBs, ARRDC1-mediated microvesicles (ARMMs) lack known late endosomal markers. ARMMs formation requires VPS4 ATPase and is enhanced by the E3 ligase WWP2, which interacts with and ubiquitinates ARRDC1. ARRDC1 protein discharged into ARMMs was observed in co-cultured cells, suggesting a role for ARMMs in intercellular communication. Our findings reveal an intrinsic cellular mechanism that results in direct budding of microvesicles from the plasma membrane, providing a formal paradigm for the evolutionary recruitment of ESCRT proteins in the release of budding viruses.
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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".