Expanding the transcriptomic toolbox in prokaryotes by Nanopore sequencing of RNA and cDNA molecules
Felix Grünberger1°, Sébastien Ferreira-Cerca2, and Dina Grohmann1°
1 Department of Biochemistry, Genetics and Microbiology, Institute of Microbiology, Single-Molecule Biochemistry Lab & Biochemistry Centre Regensburg, University of Regensburg, Universitätsstraße 31, 93053 Regensburg, Germany
2 Biochemistry III – Institute for Biochemistry, Genetics and Microbiology, University of Regensburg, Universitätsstraße 31, 93053 Regensburg, Germany.
° Corresponding authors
This is the repository for the manuscript “Expanding the transcriptomic toolbox in prokaryotes by Nanopore sequencing of RNA and cDNA molecules.” In this study, we applied and benchmarked all currently available RNA-seq kits from Oxford Nanopore technologies to analyse RNAs in the prokaryotic model organism Escherichia coli K-12. These include:
- Direct sequencing of native RNAs (DRS) using RNA001 & RNA002 chemistry
- Native cDNA sequencing (cDNA) using DCS109 chemistry
- PCR-cDNA sequencing (PCR-cDNA) using PCB109 chemistry
https://felixgrunberger.github.io/microbepore/
Preprint will soon be available at bioRxiv.
In case you are interested, have a look at our previous work:Exploring
prokaryotic transcription, operon structures, rRNA maturation and
modifications using Nanopore-based native RNA
sequencing.
A description of the workflow using publicly available tools used to basecall, demultiplex, trim, map and count data can be found in the pipeline section. Downstream analysis, including quality control, annotation of transcript boundaries, gene body coverage analysis, transcriptional unit annotation are based on custom Rscripts.
Here you can find links to the scripts used to make all of the figures based on numeric data.
click to expand
Sequencing files in original FAST5 format are publicly available in the Sequence Read Archive SRA (RNA001: PRJNA632538, all other datasets: PRJNA731531).
For easier access, basecalled & demultiplexed FASTQ files are available in a Google Drive Folder and on Zenodo.
Minimap2-mapped untrimmed reads are also available in the Google Drive Folder and on Zenodo.
This project is under the general MIT License - see the LICENSE file for details