five

Automated Enrichment and Coextraction Pipeline for Efficient Analysis of Urinary Extracellular Vesicle Protein and RNA

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/Automated_Enrichment_and_Coextraction_Pipeline_for_Efficient_Analysis_of_Urinary_Extracellular_Vesicle_Protein_and_RNA/29379792
下载链接
链接失效反馈
官方服务:
资源简介:
Extracellular vesicle (EV) cargoes have great potential as promising biomarkers for disease diagnosis. However, traditional methods for EV enrichment and cargo extraction are inefficient, limiting the accessibility of valuable biological information. Here, we present a bead-based pipeline designed to efficiently enrich EVs from urine while simultaneously extracting both EV protein and RNA. Compared to traditional methods involving ultracentrifugation (UC) for EV isolation, acetone precipitation for protein extraction, and TRIzol for RNA extraction, the new pipeline achieved over a 5-fold improvement in EV protein and RNA yield. Additionally, it reduced the duration from approximately 2 days to just 1 h. When applied to the noninvasive diagnosis of prostate cancer (PCa), the pipeline demonstrated excellent diagnostic performance, with a panel of EV protein and RNA markers achieving an AUC of 0.82. This efficient and streamlined pipeline provides a robust tool for comprehensive EV cargo analysis and holds great potential for advancing noninvasive diagnostics in clinical settings.
创建时间:
2025-06-23
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作