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Single-cell transcriptome sequencing on the Nanopore platform with ScNapBar

The current ecosystem of single-cell RNA-seq platforms is rapidly expanding, but robust solutions for single-cell and single-molecule full-length RNA sequencing are virtually absent. A high-throughput solution that covers all aspects is necessary to study the complex life of mRNA on the single-cell...

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Autores principales: Wang, Qi, Bönigk, Sven, Böhm, Volker, Gehring, Niels, Altmüller, Janine, Dieterich, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208055/
https://www.ncbi.nlm.nih.gov/pubmed/33906975
http://dx.doi.org/10.1261/rna.078154.120
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author Wang, Qi
Bönigk, Sven
Böhm, Volker
Gehring, Niels
Altmüller, Janine
Dieterich, Christoph
author_facet Wang, Qi
Bönigk, Sven
Böhm, Volker
Gehring, Niels
Altmüller, Janine
Dieterich, Christoph
author_sort Wang, Qi
collection PubMed
description The current ecosystem of single-cell RNA-seq platforms is rapidly expanding, but robust solutions for single-cell and single-molecule full-length RNA sequencing are virtually absent. A high-throughput solution that covers all aspects is necessary to study the complex life of mRNA on the single-cell level. The Nanopore platform offers long read sequencing and can be integrated with the popular single-cell sequencing method on the 10× Chromium platform. However, the high error-rate of Nanopore reads poses a challenge in downstream processing (e.g., for cell barcode assignment). We propose a solution to this particular problem by using a hybrid sequencing approach on Nanopore and Illumina platforms. Our software ScNapBar enables cell barcode assignment with high accuracy, especially if sequencing saturation is low. ScNapBar uses unique molecular identifier (UMI) or Naïve Bayes probabilistic approaches in the barcode assignment, depending on the available Illumina sequencing depth. We have benchmarked the two approaches on simulated and real Nanopore data sets. We further applied ScNapBar to pools of cells with an active or a silenced nonsense-mediated RNA decay pathway. Our Nanopore read assignment distinguishes the respective cell populations and reveals characteristic nonsense-mediated mRNA decay events depending on cell status.
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spelling pubmed-82080552021-07-01 Single-cell transcriptome sequencing on the Nanopore platform with ScNapBar Wang, Qi Bönigk, Sven Böhm, Volker Gehring, Niels Altmüller, Janine Dieterich, Christoph RNA Bioinformatics The current ecosystem of single-cell RNA-seq platforms is rapidly expanding, but robust solutions for single-cell and single-molecule full-length RNA sequencing are virtually absent. A high-throughput solution that covers all aspects is necessary to study the complex life of mRNA on the single-cell level. The Nanopore platform offers long read sequencing and can be integrated with the popular single-cell sequencing method on the 10× Chromium platform. However, the high error-rate of Nanopore reads poses a challenge in downstream processing (e.g., for cell barcode assignment). We propose a solution to this particular problem by using a hybrid sequencing approach on Nanopore and Illumina platforms. Our software ScNapBar enables cell barcode assignment with high accuracy, especially if sequencing saturation is low. ScNapBar uses unique molecular identifier (UMI) or Naïve Bayes probabilistic approaches in the barcode assignment, depending on the available Illumina sequencing depth. We have benchmarked the two approaches on simulated and real Nanopore data sets. We further applied ScNapBar to pools of cells with an active or a silenced nonsense-mediated RNA decay pathway. Our Nanopore read assignment distinguishes the respective cell populations and reveals characteristic nonsense-mediated mRNA decay events depending on cell status. Cold Spring Harbor Laboratory Press 2021-07 /pmc/articles/PMC8208055/ /pubmed/33906975 http://dx.doi.org/10.1261/rna.078154.120 Text en © 2021 Wang et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society https://creativecommons.org/licenses/by-nc/4.0/This article, published in RNA, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Bioinformatics
Wang, Qi
Bönigk, Sven
Böhm, Volker
Gehring, Niels
Altmüller, Janine
Dieterich, Christoph
Single-cell transcriptome sequencing on the Nanopore platform with ScNapBar
title Single-cell transcriptome sequencing on the Nanopore platform with ScNapBar
title_full Single-cell transcriptome sequencing on the Nanopore platform with ScNapBar
title_fullStr Single-cell transcriptome sequencing on the Nanopore platform with ScNapBar
title_full_unstemmed Single-cell transcriptome sequencing on the Nanopore platform with ScNapBar
title_short Single-cell transcriptome sequencing on the Nanopore platform with ScNapBar
title_sort single-cell transcriptome sequencing on the nanopore platform with scnapbar
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208055/
https://www.ncbi.nlm.nih.gov/pubmed/33906975
http://dx.doi.org/10.1261/rna.078154.120
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