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在多种生物体液中进行小 RNA 测序可确定 exRNA 分离的最佳方法。

Small RNA Sequencing across Diverse Biofluids Identifies Optimal Methods for exRNA Isolation.

机构信息

Department of Obstetrics, Gynecology, and Reproductive Sciences and Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA.

Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

Cell. 2019 Apr 4;177(2):446-462.e16. doi: 10.1016/j.cell.2019.03.024.

Abstract

Poor reproducibility within and across studies arising from lack of knowledge regarding the performance of extracellular RNA (exRNA) isolation methods has hindered progress in the exRNA field. A systematic comparison of 10 exRNA isolation methods across 5 biofluids revealed marked differences in the complexity and reproducibility of the resulting small RNA-seq profiles. The relative efficiency with which each method accessed different exRNA carrier subclasses was determined by estimating the proportions of extracellular vesicle (EV)-, ribonucleoprotein (RNP)-, and high-density lipoprotein (HDL)-specific miRNA signatures in each profile. An interactive web-based application (miRDaR) was developed to help investigators select the optimal exRNA isolation method for their studies. miRDar provides comparative statistics for all expressed miRNAs or a selected subset of miRNAs in the desired biofluid for each exRNA isolation method and returns a ranked list of exRNA isolation methods prioritized by complexity, expression level, and reproducibility. These results will improve reproducibility and stimulate further progress in exRNA biomarker development.

摘要

由于缺乏对细胞外 RNA(exRNA)分离方法性能的了解,导致研究内在和跨研究的可重复性较差,这阻碍了 exRNA 领域的进展。本研究系统比较了 5 种生物体液中的 10 种 exRNA 分离方法,结果显示,所得到的小 RNA-seq 图谱的复杂性和可重复性存在显著差异。通过估计每种方法在每个图谱中特定于细胞外囊泡(EV)、核糖核蛋白(RNP)和高密度脂蛋白(HDL)的 miRNA 特征的比例,确定了每种方法访问不同 exRNA 载体亚类的相对效率。开发了一个交互式基于网络的应用程序(miRDaR),以帮助研究人员为其研究选择最佳的 exRNA 分离方法。miRDar 为每个 exRNA 分离方法在所需生物体液中的所有表达 miRNA 或选定 miRNA 子集提供了比较统计信息,并返回了根据复杂性、表达水平和可重复性进行优先级排序的 exRNA 分离方法的列表。这些结果将提高可重复性,并进一步推动 exRNA 生物标志物的开发。

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