| Literature DB >> 30951671 |
Srimeenakshi Srinivasan1, Ashish Yeri2, Pike See Cheah3, Allen Chung4, Kirsty Danielson2, Peter De Hoff1, Justyna Filant5, Clara D Laurent6, Lucie D Laurent1, Rogan Magee7, Courtney Moeller1, Venkatesh L Murthy8, Parham Nejad9, Anu Paul9, Isidore Rigoutsos7, Rodosthenis Rodosthenous2, Ravi V Shah2, Bridget Simonson2, Cuong To1, David Wong4, Irene K Yan10, Xuan Zhang11, Leonora Balaj12, Xandra O Breakefield11, George Daaboul13, Roopali Gandhi9, Jodi Lapidus14, Eric Londin7, Tushar Patel10, Robert L Raffai4, Anil K Sood15, Roger P Alexander16, Saumya Das2, Louise C Laurent17.
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.Entities:
Keywords: extracellular RNA; extracellular vesicles; lipoprotein; ribonucleoprotein
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Year: 2019 PMID： 30951671 PMCID： PMC6557167 DOI： 10.1016/j.cell.2019.03.024
Source DB: PubMed Journal: Cell ISSN： 0092-8674 Impact factor: 41.582