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Rapid and simple analysis of short and long sequencing reads using Duesselpore(TM)
Transcriptome analysis experiments enable researchers to gain extensive insights into the molecular mechanisms underlying cell physiology and disease. Oxford Nanopore Technologies (ONT) has recently been developed as a fast, miniaturized, portable, and cost-effective alternative to next-generation s...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403543/ https://www.ncbi.nlm.nih.gov/pubmed/36035127 http://dx.doi.org/10.3389/fgene.2022.931996 |
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author | Vogeley, Christian Nguyen, Thach Woeste, Selina Krutmann, Jean Haarmann-Stemmann, Thomas Rossi, Andrea |
author_facet | Vogeley, Christian Nguyen, Thach Woeste, Selina Krutmann, Jean Haarmann-Stemmann, Thomas Rossi, Andrea |
author_sort | Vogeley, Christian |
collection | PubMed |
description | Transcriptome analysis experiments enable researchers to gain extensive insights into the molecular mechanisms underlying cell physiology and disease. Oxford Nanopore Technologies (ONT) has recently been developed as a fast, miniaturized, portable, and cost-effective alternative to next-generation sequencing (NGS). However, RNA-Seq data analysis software that exploits ONT portability and allows scientists to easily analyze ONT data everywhere without bioinformatics expertise is not widely available. We developed Duesselpore(TM), an easy-to-follow deep sequencing workflow that runs as a local webserver and allows the analysis of ONT data everywhere without requiring additional bioinformatics tools or internet connection. Duesselpore(TM) output includes differentially expressed genes and further downstream analyses, such as variance heatmap, disease and gene ontology plots, gene concept network plots, and exports customized pathways for different cellular processes. We validated Duesselpore(TM) by analyzing the transcriptomic changes induced by PCB126, a dioxin-like PCB, and a potent aryl hydrocarbon receptor (AhR) agonist in human HaCaT keratinocytes, a well-characterized model system. Duesselpore(TM) was specifically developed to analyze ONT data, but we also implemented NGS data analysis. Duesselpore(TM) is compatible with Linux, Microsoft, and Mac operating systems and allows convenient, reliable, and cost-effective analysis of ONT and NGS data. |
format | Online Article Text |
id | pubmed-9403543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94035432022-08-26 Rapid and simple analysis of short and long sequencing reads using Duesselpore(TM) Vogeley, Christian Nguyen, Thach Woeste, Selina Krutmann, Jean Haarmann-Stemmann, Thomas Rossi, Andrea Front Genet Genetics Transcriptome analysis experiments enable researchers to gain extensive insights into the molecular mechanisms underlying cell physiology and disease. Oxford Nanopore Technologies (ONT) has recently been developed as a fast, miniaturized, portable, and cost-effective alternative to next-generation sequencing (NGS). However, RNA-Seq data analysis software that exploits ONT portability and allows scientists to easily analyze ONT data everywhere without bioinformatics expertise is not widely available. We developed Duesselpore(TM), an easy-to-follow deep sequencing workflow that runs as a local webserver and allows the analysis of ONT data everywhere without requiring additional bioinformatics tools or internet connection. Duesselpore(TM) output includes differentially expressed genes and further downstream analyses, such as variance heatmap, disease and gene ontology plots, gene concept network plots, and exports customized pathways for different cellular processes. We validated Duesselpore(TM) by analyzing the transcriptomic changes induced by PCB126, a dioxin-like PCB, and a potent aryl hydrocarbon receptor (AhR) agonist in human HaCaT keratinocytes, a well-characterized model system. Duesselpore(TM) was specifically developed to analyze ONT data, but we also implemented NGS data analysis. Duesselpore(TM) is compatible with Linux, Microsoft, and Mac operating systems and allows convenient, reliable, and cost-effective analysis of ONT and NGS data. Frontiers Media S.A. 2022-08-11 /pmc/articles/PMC9403543/ /pubmed/36035127 http://dx.doi.org/10.3389/fgene.2022.931996 Text en Copyright © 2022 Vogeley, Nguyen, Woeste, Krutmann, Haarmann-Stemmann and Rossi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Vogeley, Christian Nguyen, Thach Woeste, Selina Krutmann, Jean Haarmann-Stemmann, Thomas Rossi, Andrea Rapid and simple analysis of short and long sequencing reads using Duesselpore(TM) |
title | Rapid and simple analysis of short and long sequencing reads using Duesselpore(TM)
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title_full | Rapid and simple analysis of short and long sequencing reads using Duesselpore(TM)
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title_fullStr | Rapid and simple analysis of short and long sequencing reads using Duesselpore(TM)
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title_full_unstemmed | Rapid and simple analysis of short and long sequencing reads using Duesselpore(TM)
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title_short | Rapid and simple analysis of short and long sequencing reads using Duesselpore(TM)
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title_sort | rapid and simple analysis of short and long sequencing reads using duesselpore(tm) |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403543/ https://www.ncbi.nlm.nih.gov/pubmed/36035127 http://dx.doi.org/10.3389/fgene.2022.931996 |
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