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3′ RNA-seq is superior to standard RNA-seq in cases of sparse data but inferior at identifying toxicity pathways in a model organism

Introduction: The application of RNA-sequencing has led to numerous breakthroughs related to investigating gene expression levels in complex biological systems. Among these are knowledge of how organisms, such as the vertebrate model organism zebrafish (Danio rerio), respond to toxicant exposure. Re...

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Autores principales: McClure, Ryan S., Rericha, Yvonne, Waters, Katrina M., Tanguay, Robyn L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414111/
https://www.ncbi.nlm.nih.gov/pubmed/37576716
http://dx.doi.org/10.3389/fbinf.2023.1234218
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author McClure, Ryan S.
Rericha, Yvonne
Waters, Katrina M.
Tanguay, Robyn L.
author_facet McClure, Ryan S.
Rericha, Yvonne
Waters, Katrina M.
Tanguay, Robyn L.
author_sort McClure, Ryan S.
collection PubMed
description Introduction: The application of RNA-sequencing has led to numerous breakthroughs related to investigating gene expression levels in complex biological systems. Among these are knowledge of how organisms, such as the vertebrate model organism zebrafish (Danio rerio), respond to toxicant exposure. Recently, the development of 3′ RNA-seq has allowed for the determination of gene expression levels with a fraction of the required reads compared to standard RNA-seq. While 3′ RNA-seq has many advantages, a comparison to standard RNA-seq has not been performed in the context of whole organism toxicity and sparse data. Methods and results: Here, we examined samples from zebrafish exposed to perfluorobutane sulfonamide (FBSA) with either 3′ or standard RNA-seq to determine the advantages of each with regards to the identification of functionally enriched pathways. We found that 3′ and standard RNA-seq showed specific advantages when focusing on annotated or unannotated regions of the genome. We also found that standard RNA-seq identified more differentially expressed genes (DEGs), but that this advantage disappeared under conditions of sparse data. We also found that standard RNA-seq had a significant advantage in identifying functionally enriched pathways via analysis of DEG lists but that this advantage was minimal when identifying pathways via gene set enrichment analysis of all genes. Conclusions: These results show that each approach has experimental conditions where they may be advantageous. Our observations can help guide others in the choice of 3′ RNA-seq vs standard RNA sequencing to query gene expression levels in a range of biological systems.
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spelling pubmed-104141112023-08-11 3′ RNA-seq is superior to standard RNA-seq in cases of sparse data but inferior at identifying toxicity pathways in a model organism McClure, Ryan S. Rericha, Yvonne Waters, Katrina M. Tanguay, Robyn L. Front Bioinform Bioinformatics Introduction: The application of RNA-sequencing has led to numerous breakthroughs related to investigating gene expression levels in complex biological systems. Among these are knowledge of how organisms, such as the vertebrate model organism zebrafish (Danio rerio), respond to toxicant exposure. Recently, the development of 3′ RNA-seq has allowed for the determination of gene expression levels with a fraction of the required reads compared to standard RNA-seq. While 3′ RNA-seq has many advantages, a comparison to standard RNA-seq has not been performed in the context of whole organism toxicity and sparse data. Methods and results: Here, we examined samples from zebrafish exposed to perfluorobutane sulfonamide (FBSA) with either 3′ or standard RNA-seq to determine the advantages of each with regards to the identification of functionally enriched pathways. We found that 3′ and standard RNA-seq showed specific advantages when focusing on annotated or unannotated regions of the genome. We also found that standard RNA-seq identified more differentially expressed genes (DEGs), but that this advantage disappeared under conditions of sparse data. We also found that standard RNA-seq had a significant advantage in identifying functionally enriched pathways via analysis of DEG lists but that this advantage was minimal when identifying pathways via gene set enrichment analysis of all genes. Conclusions: These results show that each approach has experimental conditions where they may be advantageous. Our observations can help guide others in the choice of 3′ RNA-seq vs standard RNA sequencing to query gene expression levels in a range of biological systems. Frontiers Media S.A. 2023-07-27 /pmc/articles/PMC10414111/ /pubmed/37576716 http://dx.doi.org/10.3389/fbinf.2023.1234218 Text en Copyright © 2023 McClure, Rericha, Waters and Tanguay. 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 Bioinformatics
McClure, Ryan S.
Rericha, Yvonne
Waters, Katrina M.
Tanguay, Robyn L.
3′ RNA-seq is superior to standard RNA-seq in cases of sparse data but inferior at identifying toxicity pathways in a model organism
title 3′ RNA-seq is superior to standard RNA-seq in cases of sparse data but inferior at identifying toxicity pathways in a model organism
title_full 3′ RNA-seq is superior to standard RNA-seq in cases of sparse data but inferior at identifying toxicity pathways in a model organism
title_fullStr 3′ RNA-seq is superior to standard RNA-seq in cases of sparse data but inferior at identifying toxicity pathways in a model organism
title_full_unstemmed 3′ RNA-seq is superior to standard RNA-seq in cases of sparse data but inferior at identifying toxicity pathways in a model organism
title_short 3′ RNA-seq is superior to standard RNA-seq in cases of sparse data but inferior at identifying toxicity pathways in a model organism
title_sort 3′ rna-seq is superior to standard rna-seq in cases of sparse data but inferior at identifying toxicity pathways in a model organism
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414111/
https://www.ncbi.nlm.nih.gov/pubmed/37576716
http://dx.doi.org/10.3389/fbinf.2023.1234218
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