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Sequencing of mRNA from Whole Blood using Nanopore Sequencing
Published on: June 3, 2019
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Nanopore Whole Transcriptome Analysis and Pathogen Surveillance by a Novel Solid-Phase Catalysis Approach.
Yi Fang1, Amogh Changavi1, Manyun Yang2
1New England Biolabs, Inc., Ipswich, MA, 01938, USA.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|November 27, 2021
Summary
A new solid-phase catalysis method reduces sample loss and time for Nanopore direct RNA sequencing. This advance enables low-input RNA analysis for improved pathogen detection and transcript identification.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Nanopore direct RNA sequencing requires substantial RNA input (500 ng), limiting low-input applications like pathogen surveillance.
- Current library preparation methods using solid-phase reversible immobilization (SPRI) beads cause significant sample loss, contributing to the high input requirement.
Purpose of the Study:
- To develop a novel RNA library preparation strategy for Nanopore direct RNA sequencing that minimizes sample input requirements.
- To overcome the limitations of SPRI bead purification in low-input RNA sequencing.
Main Methods:
- A solid-phase catalysis approach was developed, immobilizing poly(A) polymerase and T4 DNA ligase for concurrent processing of non-polyadenylated transcripts.
- The prepared library was directly loaded onto the Nanopore flow cell without SPRI bead purification.
- Whole transcriptome sequencing was performed using Listeria monocytogenes as a model organism.
Main Results:
- The novel method demonstrated minimal sample loss, reduced preparation time, and increased sequencing throughput compared to standard methods.
- Reduced nanopore fouling was observed, leading to higher quality sequencing data.
- The approach successfully enabled low-input Nanopore direct RNA sequencing, enhancing pathogen detection and transcript identification.
Conclusions:
- The solid-phase catalysis strategy significantly improves Nanopore direct RNA sequencing efficiency, particularly for low-input samples.
- This method facilitates improved pathogen surveillance and microbial community analysis.
- Accurate RNA consensus with high fidelity and identification of more expressed genes were achieved for both high and low RNA inputs.

