Transcript sequencing is a crucial tool for gaining a deep understanding of biological processes in diagnostic and clinical medicine. Given their potential to study novel complex eukaryotic transcriptomes, long-read sequencing technologies are able to overcome some limitations of short-read RNA-Seq approaches. Oxford Nanopore Technologies (ONT) offers the ability to generate long-read sequencing data in real time via portable protein nanopore USB devices. This work aimed to provide the user with the number of reads that should be sequenced, through the ONT MinION platform, to reach the desired accuracy level for a human cell RNA study. We sequenced three cDNA libraries prepared from poly-adenosine RNA of human primary cardiac fibroblasts. Since the runs were comparable, they were combined in a total dataset of 48 million reads. Synthetic datasets with different sizes were generated starting from the total and analyzed in terms of the number of identified genes and their expression levels. As expected, an improved sensitivity was obtained, increasing the sequencing depth, particularly for the non-coding genes. The reliability of expression levels was assayed by (i) comparison with PCR quantifications of selected genes and (ii) by the implementation of a user-friendly multiplexing method in a single run.

Evaluation of oxford nanopore minion rna-seq performance for human primary cells / I. Massaiu, P. Songia, M. Chiesa, V. Valerio, D. Moschetta, V. Alfieri, V.A. Myasoedova, M. Schmid, L. Cassetta, G.I. Colombo, Y. D'Alessandra, P. Poggio. - In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. - ISSN 1661-6596. - 22:12(2021 Jun), pp. 6317.1-6317.12. [10.3390/ijms22126317]

Evaluation of oxford nanopore minion rna-seq performance for human primary cells

P. Songia;D. Moschetta;V. Alfieri;Y. D'Alessandra;P. Poggio
2021

Abstract

Transcript sequencing is a crucial tool for gaining a deep understanding of biological processes in diagnostic and clinical medicine. Given their potential to study novel complex eukaryotic transcriptomes, long-read sequencing technologies are able to overcome some limitations of short-read RNA-Seq approaches. Oxford Nanopore Technologies (ONT) offers the ability to generate long-read sequencing data in real time via portable protein nanopore USB devices. This work aimed to provide the user with the number of reads that should be sequenced, through the ONT MinION platform, to reach the desired accuracy level for a human cell RNA study. We sequenced three cDNA libraries prepared from poly-adenosine RNA of human primary cardiac fibroblasts. Since the runs were comparable, they were combined in a total dataset of 48 million reads. Synthetic datasets with different sizes were generated starting from the total and analyzed in terms of the number of identified genes and their expression levels. As expected, an improved sensitivity was obtained, increasing the sequencing depth, particularly for the non-coding genes. The reliability of expression levels was assayed by (i) comparison with PCR quantifications of selected genes and (ii) by the implementation of a user-friendly multiplexing method in a single run.
English
Barcoding; MinION; Multiplexed samples; Nanopore technology; RNA-seq; Sequencing depth; SQK-PCS109; Cells, Cultured; Gene Expression Regulation; Humans; Open Reading Frames; RNA-Seq; Nanopore Sequencing
Settore BIO/18 - Genetica
Articolo
Esperti anonimi
Pubblicazione scientifica
giu-2021
MDPI
22
12
6317
1
12
12
Pubblicato
Periodico con rilevanza internazionale
scopus
pubmed
crossref
wos
datacite
Aderisco
info:eu-repo/semantics/article
Evaluation of oxford nanopore minion rna-seq performance for human primary cells / I. Massaiu, P. Songia, M. Chiesa, V. Valerio, D. Moschetta, V. Alfieri, V.A. Myasoedova, M. Schmid, L. Cassetta, G.I. Colombo, Y. D'Alessandra, P. Poggio. - In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. - ISSN 1661-6596. - 22:12(2021 Jun), pp. 6317.1-6317.12. [10.3390/ijms22126317]
open
Prodotti della ricerca::01 - Articolo su periodico
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I. Massaiu, P. Songia, M. Chiesa, V. Valerio, D. Moschetta, V. Alfieri, V.A. Myasoedova, M. Schmid, L. Cassetta, G.I. Colombo, Y. D'Alessandra, P. Poggio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/915888
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