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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Mikhail A. Pyatnitskiy, Viktoriia A. Arzumanian, Sergey P. Radko, Konstantin G. Ptitsyn, Igor V. Vakhrushev, Ekaterina V. Poverennaya, Elena A. Ponomarenko
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