Improved long transcript representation in Oxford Nanopore direct RNA sequencing with UltraMarathonRT
Maio, G.; Guo, L.-T.; Olson, S.; Graveley, B.; Underwood, J.
Show abstract
While most RNA-seq methods sequence amplified cDNA molecules, the advent of direct RNA sequencing (DRS) empowered the scientific community to read native RNA. This technology unlocked characterization of natural RNA modifications and long RNA isoforms without the inherent biases of PCR amplification. In the library preparation prior to Oxford Nanopore (ONT) sequencing, polyadenylated RNAs are copied by a reverse transcriptase (RT) to generate an RNA-cDNA hybrid. The step aims to eliminate the secondary and tertiary structure inherent to most RNA sequences prior to presentation of the RNA strand to the pore for sequencing. The current recommended protocol for DRS utilizes Induro (R) RT and requires reverse transcription at 60 {degrees} C. We demonstrate that these RT conditions promote hydrolysis of the RNA strand. We further show that UltraMarathonRT (R) (uMRT), an ultraprocessive reverse transcriptase with intrinsic helicase activity that works optimally at 30 {degrees} C, can be incorporated into a new uMRT-based DRS method that results in longer RNA reads in ONT DRS and longer final isoform predictions. We optimize this reaction along with other molecular biology steps and demonstrate the performance improvements of this new workflow on the benchmark sample, Universal Human Reference RNA, along with human brain RNA. This improved DRS protocol should empower new discoveries by the scientific community.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Semi-quantitative detection of pseudouridine modifications and type I/II hypermodifications in human mRNAs using direct and long-read sequencing 95%
- ORF Capture-Seq: a versatile method for targeted identification of full-length isoforms 95%
- Biochemical-free enrichment or depletion of RNA classes in real-time during direct RNA sequencing with RISER 95%
Similar papers in this journal
- Characterization of the nuclear and cytosolic transcriptomes in human brain tissue reveals new insights into the subcellular distribution of RNA transcripts 95%
- Transcriptome-wide high-throughput mapping of protein-RNA occupancy profiles using POP-seq 94%
- Transcriptome profiling of mouse samples using nanopore sequencing of cDNA and RNA molecules 94%
Similar papers in this journal
- Direct RNA sequencing (RNA004) allows for improved transcriptome assessment and near real-time tracking of methylation for medical applications 96%
- ModiDeC: a multi-RNA modification classifier for direct nanopore sequencing 95%
- CRISPR/Cas9-targeted removal of unwanted sequences from small-RNA sequencing libraries 95%
Similar papers in this journal
- Benchmark of cellular deconvolution methods using a multi-assay reference dataset from postmortem human prefrontal cortex 94%
- Prime-seq, efficient and powerful bulk RNA-sequencing 94%
- Data-driven Identification of Total RNA Expression Genes (TREGs) for Estimation of RNA Abundance in Heterogeneous Cell Types 93%
Similar papers in this journal
- SeqTagger, a rapid and accurate tool to demultiplex direct RNA nanopore sequencing datasets 94%
- Illumina But With Nanopore: Sequencing Illumina libraries at high accuracy on the ONT MinION using R2C2 94%
- Differences in molecular sampling and data processing explain variation among single-cell and single-nucleus RNA-seq experiments 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.