Enriching for Extracellular Vesicles from Human Bone
Bibliographic record
Abstract
Abstract Extracellular vesicles (EVs) are nano-sized membrane-bound structures thought to be secreted by all cells and increasingly recognized as key mediators of intercellular communication. Established EV isolation protocols for bodily fluids-primarily focus on blood with limited insights into methods optimized for EVs from other hematopoietic regions. In this study, we present a novel protocol for the isolation and enrichment of EVs from human trabecular bone and bone marrow. This method employs a two-step purification strategy, combining iodixanol density cushion (IDC) ultracentrifugation with size exclusion chromatography (SEC), and enables EV recovery from fresh tissue hours after collection. Importantly, this approach facilitates the enrichment of bone-derived EVs without the need for enzymatic digestion or long-term culture, preserving native EV populations. This protocol offers a valuable tool for researchers investigating EVs derived from the diverse cellular constituents of the bone microenvironment.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".