QsRNA-seq: A protocol for generating libraries for high-throughput sequencing of small RNAs

Abstract

Small RNAs (sRNAs) are 20-30 nt long non-coding RNA molecules that regulate essentially all cellular processes. Besides being an intensively studied topic in academic research, sRNAs also hold a promise as clinical biomarkers. While the need for expressional profiling of sRNAs is growing, preparation of sRNA libraries for high-throughput sequencing (HTS) remains technically challenging, due to their small size. The common PAGE-based protocol is time-consuming and inefficient due to material loss, while gel-free protocols generate libraries of insufficient quality. To overcome these shortcomings, we modified the conditions of size-selection by Solid Phase Reversible Immobilization (SPRI) in a way that allows separation of nucleic acids shorter than 100 nt and differing in length by only 20 nt. Implementing the method for preparation of small RNA libraries for HTS resulted in QsRNA-seq, a gel-free, fast and easy-to-perform protocol, amenable to automation, generating very clean libraries that result in high-depth expression data. The protocol also utilizes Unique Molecular Identifiers (UMI) for reduction of library preparation biases and to quantify expression levels. QsRNA-seq provides an excellent solution to the growing needs for small RNA expression profiling for research clinical use.

Keywords: Gene expression; High-throughput sequencing; Size-selection; Small RNA; UMI; miRNA; piRNA; siRNA.