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参照MISEV标准分离和鉴定尿液细胞外囊泡以开发微小RNA生物标志物特征

Isolation and Characterization of Urinary Extracellular Vesicles for MicroRNA Biomarker Signature Development with Reference to MISEV Compliance.

作者信息

Reithmair Marlene, Lindemann Anja, Mussack Veronika, Pfaffl Michael W

机构信息

Institute of Human Genetics, University Hospital Munich, Ludwig-Maximilians-University Munich, Munich, Germany.

Department of Animal Physiology and Immunology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany.

出版信息

Methods Mol Biol. 2022;2504:113-133. doi: 10.1007/978-1-0716-2341-1_9.

Abstract

Urine bears high potential for serving as biomarker repository for renal and urinary tract associated disorders. Besides various metabolites and salts, urine carries extracellular vesicles (EVs)-a heterogeneous group of cell-derived mediators comprising proteins, lipids, and nucleic acids such as microRNAs (miRNAs). Particularly, EV-derived miRNA biomarkers have already been identified for numerous disorders such as sepsis, various blood and solid cancer entities, respiratory and renal diseases. However, study results are often incomparable due to poorly reported EV separation and miRNA isolation protocols and emphasize the need for standardization and reproducibility. To ensure valid EV-derived miRNA biomarker findings from urine, a step-by-step protocol compliant with the "Minimal Information for Studies of Extracellular Vesicles" (MISEV) is outlined in the following paragraphs. Actually, an immunoaffinity-based EV separation method followed by EV characterization, quantification, and normalization, as well as consecutive miRNA isolation and miRNA profiling by small RNA sequencing, are described.

摘要

尿液在作为肾脏和泌尿系统相关疾病生物标志物库方面具有巨大潜力。除了各种代谢物和盐类外,尿液还携带细胞外囊泡(EVs)——一组异质性的细胞衍生介质,包括蛋白质、脂质和核酸,如微小RNA(miRNAs)。特别是,EV衍生的miRNA生物标志物已被确定用于多种疾病,如败血症、各种血液和实体癌、呼吸系统和肾脏疾病。然而,由于EV分离和miRNA分离方案报道不佳,研究结果往往无法比较,这凸显了标准化和可重复性的必要性。为确保从尿液中获得有效的EV衍生miRNA生物标志物结果,以下段落概述了一个符合“细胞外囊泡研究最低信息”(MISEV)的分步方案。实际上,描述了一种基于免疫亲和的EV分离方法,随后进行EV表征、定量和标准化,以及通过小RNA测序进行连续的miRNA分离和miRNA分析。

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