Oxford Nanopore MinION Direct RNA-Seq for Systems Biology
Long-read direct RNA sequencing developed by Oxford Nanopore Technologies (ONT) is quickly gaining popularity for transcriptome studies, while fast turnaround time and low cost make it an attractive instrument for clinical applications. There is a growing interest to utilize transcriptome data to un...
Guardado en:
Autores principales: | , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/169759de0b984a4e87823b821fcc24e6 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:169759de0b984a4e87823b821fcc24e6 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:169759de0b984a4e87823b821fcc24e62021-11-25T16:47:19ZOxford Nanopore MinION Direct RNA-Seq for Systems Biology10.3390/biology101111312079-7737https://doaj.org/article/169759de0b984a4e87823b821fcc24e62021-11-01T00:00:00Zhttps://www.mdpi.com/2079-7737/10/11/1131https://doaj.org/toc/2079-7737Long-read direct RNA sequencing developed by Oxford Nanopore Technologies (ONT) is quickly gaining popularity for transcriptome studies, while fast turnaround time and low cost make it an attractive instrument for clinical applications. There is a growing interest to utilize transcriptome data to unravel activated biological processes responsible for disease progression and response to therapies. This trend is of particular interest for precision medicine which aims at single-patient analysis. Here we evaluated whether gene abundances measured by MinION direct RNA sequencing are suited to produce robust estimates of pathway activation for single sample scoring methods. We performed multiple RNA-seq analyses for a single sample that originated from the HepG2 cell line, namely five ONT replicates, and three replicates using Illumina NovaSeq. Two pathway scoring methods were employed—ssGSEA and singscore. We estimated the ONT performance in terms of detected protein-coding genes and average pairwise correlation between pathway activation scores using an exhaustive computational scheme for all combinations of replicates. In brief, we found that at least two ONT replicates are required to obtain reproducible pathway scores for both algorithms. We hope that our findings may be of interest to researchers planning their ONT direct RNA-seq experiments.Mikhail A. PyatnitskiyViktoriia A. ArzumanianSergey P. RadkoKonstantin G. PtitsynIgor V. VakhrushevEkaterina V. PoverennayaElena A. PonomarenkoMDPI AGarticletranscriptomicsnanopore technologyRNA-seqMinIONpathway activationsystems biologyBiology (General)QH301-705.5ENBiology, Vol 10, Iss 1131, p 1131 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
transcriptomics nanopore technology RNA-seq MinION pathway activation systems biology Biology (General) QH301-705.5 |
spellingShingle |
transcriptomics nanopore technology RNA-seq MinION pathway activation systems biology Biology (General) QH301-705.5 Mikhail A. Pyatnitskiy Viktoriia A. Arzumanian Sergey P. Radko Konstantin G. Ptitsyn Igor V. Vakhrushev Ekaterina V. Poverennaya Elena A. Ponomarenko Oxford Nanopore MinION Direct RNA-Seq for Systems Biology |
description |
Long-read direct RNA sequencing developed by Oxford Nanopore Technologies (ONT) is quickly gaining popularity for transcriptome studies, while fast turnaround time and low cost make it an attractive instrument for clinical applications. There is a growing interest to utilize transcriptome data to unravel activated biological processes responsible for disease progression and response to therapies. This trend is of particular interest for precision medicine which aims at single-patient analysis. Here we evaluated whether gene abundances measured by MinION direct RNA sequencing are suited to produce robust estimates of pathway activation for single sample scoring methods. We performed multiple RNA-seq analyses for a single sample that originated from the HepG2 cell line, namely five ONT replicates, and three replicates using Illumina NovaSeq. Two pathway scoring methods were employed—ssGSEA and singscore. We estimated the ONT performance in terms of detected protein-coding genes and average pairwise correlation between pathway activation scores using an exhaustive computational scheme for all combinations of replicates. In brief, we found that at least two ONT replicates are required to obtain reproducible pathway scores for both algorithms. We hope that our findings may be of interest to researchers planning their ONT direct RNA-seq experiments. |
format |
article |
author |
Mikhail A. Pyatnitskiy Viktoriia A. Arzumanian Sergey P. Radko Konstantin G. Ptitsyn Igor V. Vakhrushev Ekaterina V. Poverennaya Elena A. Ponomarenko |
author_facet |
Mikhail A. Pyatnitskiy Viktoriia A. Arzumanian Sergey P. Radko Konstantin G. Ptitsyn Igor V. Vakhrushev Ekaterina V. Poverennaya Elena A. Ponomarenko |
author_sort |
Mikhail A. Pyatnitskiy |
title |
Oxford Nanopore MinION Direct RNA-Seq for Systems Biology |
title_short |
Oxford Nanopore MinION Direct RNA-Seq for Systems Biology |
title_full |
Oxford Nanopore MinION Direct RNA-Seq for Systems Biology |
title_fullStr |
Oxford Nanopore MinION Direct RNA-Seq for Systems Biology |
title_full_unstemmed |
Oxford Nanopore MinION Direct RNA-Seq for Systems Biology |
title_sort |
oxford nanopore minion direct rna-seq for systems biology |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/169759de0b984a4e87823b821fcc24e6 |
work_keys_str_mv |
AT mikhailapyatnitskiy oxfordnanoporeminiondirectrnaseqforsystemsbiology AT viktoriiaaarzumanian oxfordnanoporeminiondirectrnaseqforsystemsbiology AT sergeypradko oxfordnanoporeminiondirectrnaseqforsystemsbiology AT konstantingptitsyn oxfordnanoporeminiondirectrnaseqforsystemsbiology AT igorvvakhrushev oxfordnanoporeminiondirectrnaseqforsystemsbiology AT ekaterinavpoverennaya oxfordnanoporeminiondirectrnaseqforsystemsbiology AT elenaaponomarenko oxfordnanoporeminiondirectrnaseqforsystemsbiology |
_version_ |
1718412940798853120 |