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

对多种生物体液中的小RNA进行测序,确定了胞外RNA分离的最佳方法

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作者:Srimeenakshi Srinivasan ,Ashish Yeri ,Pike See Cheah ,Allen Chung ,Kirsty Danielson ,Peter De Hoff ,Justyna Filant ,Clara D Laurent ,Lucie D Laurent ,Rogan Magee ,Courtney Moeller ,Venkatesh L Murthy ,Parham Nejad ,Anu Paul ,Isidore Rigoutsos ,Rodosthenis Rodosthenous ,Ravi V Shah ,Bridget Simonson ,Cuong To ,David Wong ,Irene K Yan ,Xuan Zhang ,Leonora Balaj ,Xandra O Breakefield ,George Daaboul ,Roopali Gandhi ,Jodi Lapidus ,Eric Londin ,Tushar Patel ,Robert L Raffai ,Anil K Sood ,Roger P Alexander ,Saumya Das ,Louise C Laurent

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. Keywords: extracellular RNA; extracellular vesicles; lipoprotein; ribonucleoprotein.

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