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

Area of Science:

• Molecular Biology
• Genomics
• Biotechnology

Background:

• Small RNAs (sRNAs) are crucial non-coding RNA molecules regulating cellular processes.
• sRNAs are promising clinical biomarkers, driving demand for expression profiling.
• Current sRNA library preparation for high-throughput sequencing (HTS) is challenging due to small molecule size.

Purpose of the Study:

• To develop an efficient, gel-free method for small RNA library preparation for HTS.
• To overcome the limitations of existing PAGE-based and gel-free protocols.
• To enable high-depth and accurate sRNA expression profiling.

Main Methods:

• Modified Solid Phase Reversible Immobilization (SPRI) for size selection of nucleic acids <100 nt with 20 nt length differences.
• Developed QsRNA-seq, a gel-free protocol for sRNA library preparation.
• Incorporated Unique Molecular Identifiers (UMIs) to reduce bias and quantify expression.

Main Results:

• QsRNA-seq is a fast, easy-to-perform, and automatable protocol.
• The method generates very clean libraries, yielding high-depth expression data.
• QsRNA-seq effectively reduces library preparation biases and improves quantification accuracy.

Conclusions:

• QsRNA-seq offers a superior solution for small RNA expression profiling.
• The protocol meets the increasing demands for both research and clinical applications.
• This method enhances the utility of sRNAs as biomarkers.