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Small RNA Sequencing across Diverse Biofluids Identifies Optimal Methods for exRNA Isolation
Author(s) -
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 S. Rodosthenous,
Ravi V. Shah,
Bridget Simonson,
Cuong To,
David T. Wong,
Irene K. Yan,
Xuan Zhang,
Leonora Balaj,
Xandra O. Breakefield,
George G. Daaboul,
Roopali Gandhi,
Jodi Lapidus,
Eric Londin,
Tushar Patel,
Robert L. Raffaı̈,
Anil K. Sood,
Roger P. Alexander,
Saumya Das,
Louise C. Laurent
Publication year - 2019
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2019.03.024
Subject(s) - biology , computational biology , extracellular vesicles , isolation (microbiology) , biomarker , ribonucleoprotein , rna extraction , rna , bioinformatics , genetics , gene , microbiology and biotechnology
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.

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