| Literature DB >> 31966025 |
Zachary T Herbert1, Jyothi Thimmapuram2, Shaojun Xie2, Jamie P Kershner3, Fred W Kolling4, Carol S Ringelberg4, Ashley LeClerc5, Yuriy O Alekseyev5,6, Jun Fan7, Jessica W Podnar8, Holly S Stevenson8, Gary Sommerville1, Shipra Gupta1, Maura Berkeley1, Julie Koeman9, Anoja Perera10, Allison R Scott10, Jennifer K Grenier11, Jeffrey Malik12, John M Ashton12, Kara L Pivarski13, Xinkun Wang13, Gina Kuffel14, Tania E Mesa15, Andrew T Smith15, Jianjun Shen16, Yoko Takata16, Thomas L Volkert17, Jennifer A Love17, Yanping Zhang18, Jun Wang19, Xiaoling Xuei19, Marie Adams9, Stuart S Levine20.
Abstract
Small RNAs (smRNAs) are important regulators of many biologic processes and are now most frequently characterized using Illumina sequencing. However, although standard RNA sequencing library preparation has become routine in most sequencing facilities, smRNA sequencing library preparation has historically been challenging because of high input requirements, laborious protocols involving gel purifications, inability to automate, and a lack of benchmarking standards. Additionally, studies have suggested that many of these methods are nonlinear and do not accurately reflect the amounts of smRNAs in vivo. Recently, a number of new kits have become available that permit lower input amounts and less laborious, gel-free protocol options. Several of these new kits claim to reduce RNA ligase-dependent sequence bias through novel adapter modifications and to lessen adapter-dimer contamination in the resulting libraries. With the increasing number of smRNA kits available, understanding the relative strengths of each method is crucial for appropriate experimental design. In this study, we systematically compared 9 commercially available smRNA library preparation kits as well as NanoString probe hybridization across multiple study sites. Although several of the new methodologies do reduce the amount of artificially over- and underrepresented microRNAs (miRNAs), we observed that none of the methods was able to remove all of the bias in the library preparation. Identical samples prepared with different methods show highly varied levels of different miRNAs. Even so, many methods excelled in ease of use, lower input requirement, fraction of usable reads, and reproducibility across sites. These differences may help users select the most appropriate methods for their specific question of interest. © Association of Biomolecular Resource Facilities.Keywords: small RNA sequencing, miRNA sequencing, RNA sequencing, Illumina Library Prep
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Year: 2020 PMID: 31966025 PMCID: PMC6953595 DOI: 10.7171/jbt.20-3102-001
Source DB: PubMed Journal: J Biomol Tech ISSN: 1524-0215