Activated platelets can deliver mRNA regulatory Ago2•microRNA complexes to endothelial cells via microparticles
Bibliographic record
Abstract
Platelets play a crucial role in the maintenance of hemostasis, as well as in thrombosis. Upon activation, platelets release small membrane-bound microparticles (MPs) containing bioactive proteins and genetic materials from their parental cells that may be transferred to, and exert potent biological effects in, recipient cells of the circulatory system. Platelets have been shown to contain an abundant and diverse array of microRNAs, and platelet-derived MPs are the most abundant microvesicles in the circulation. Here we demonstrate that human platelets activated with thrombin preferentially release their miR-223 content in MPs. These MPs can be internalized by human umbilical vein endothelial cells (HUVEC), leading to the accumulation of platelet-derived miR-223. Platelet MPs contain functional Argonaute 2 (Ago2)•miR-223 complexes that are capable of regulating expression of a reporter gene in recipient HUVEC. Moreover, we demonstrate a role for platelet MP-derived miR-223 in the regulation of 2 endogenous endothelial genes, both at the messenger RNA and protein levels. Our results support a scenario by which platelet MPs may act as intercellular carriers of functional Ago2•microRNA complexes that may exert heterotypic regulation of gene expression in endothelial cells, and possibly other recipient cells of the circulatory system.
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) | 0.000 | 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) | 0.001 | 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".