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Profiling the polyadenylated transcriptome of extracellular vesicles with long-read nanopore sequencing

BACKGROUND: While numerous studies have described the transcriptomes of extracellular vesicles (EVs) in different cellular contexts, these efforts have typically relied on sequencing methods requiring RNA fragmentation, which limits interpretations on the integrity and isoform diversity of EV-target...

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Autores principales: Padilla, Juan-Carlos A., Barutcu, Seda, Malet, Ludovic, Deschamps-Francoeur, Gabrielle, Calderon, Virginie, Kwon, Eunjeong, Lécuyer, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514964/
https://www.ncbi.nlm.nih.gov/pubmed/37736705
http://dx.doi.org/10.1186/s12864-023-09552-6
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author Padilla, Juan-Carlos A.
Barutcu, Seda
Malet, Ludovic
Deschamps-Francoeur, Gabrielle
Calderon, Virginie
Kwon, Eunjeong
Lécuyer, Eric
author_facet Padilla, Juan-Carlos A.
Barutcu, Seda
Malet, Ludovic
Deschamps-Francoeur, Gabrielle
Calderon, Virginie
Kwon, Eunjeong
Lécuyer, Eric
author_sort Padilla, Juan-Carlos A.
collection PubMed
description BACKGROUND: While numerous studies have described the transcriptomes of extracellular vesicles (EVs) in different cellular contexts, these efforts have typically relied on sequencing methods requiring RNA fragmentation, which limits interpretations on the integrity and isoform diversity of EV-targeted RNA populations. It has been assumed that mRNA signatures in EVs are likely to be fragmentation products of the cellular mRNA material, and the extent to which full-length mRNAs are present within EVs remains to be clarified. RESULTS: Using long-read nanopore RNA sequencing, we sought to characterize the full-length polyadenylated (poly-A) transcriptome of EVs released by human chronic myelogenous leukemia K562 cells. We detected 443 and 280 RNAs that were respectively enriched or depleted in EVs. EV-enriched poly-A transcripts consist of a variety of biotypes, including mRNAs, long non-coding RNAs, and pseudogenes. Our analysis revealed that 10.58% of all EV reads, and 18.67% of all cellular (WC) reads, corresponded to known full-length transcripts, with mRNAs representing the largest biotype for each group (EV = 58.13%, WC = 43.93%). We also observed that for many well-represented coding and non-coding genes, diverse full-length transcript isoforms were present in EV specimens, and these isoforms were reflective-of but often in different ratio compared to cellular samples. CONCLUSION: This work provides novel insights into the compositional diversity of poly-A transcript isoforms enriched within EVs, while also underscoring the potential usefulness of nanopore sequencing to interrogate secreted RNA transcriptomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09552-6.
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spelling pubmed-105149642023-09-23 Profiling the polyadenylated transcriptome of extracellular vesicles with long-read nanopore sequencing Padilla, Juan-Carlos A. Barutcu, Seda Malet, Ludovic Deschamps-Francoeur, Gabrielle Calderon, Virginie Kwon, Eunjeong Lécuyer, Eric BMC Genomics Research BACKGROUND: While numerous studies have described the transcriptomes of extracellular vesicles (EVs) in different cellular contexts, these efforts have typically relied on sequencing methods requiring RNA fragmentation, which limits interpretations on the integrity and isoform diversity of EV-targeted RNA populations. It has been assumed that mRNA signatures in EVs are likely to be fragmentation products of the cellular mRNA material, and the extent to which full-length mRNAs are present within EVs remains to be clarified. RESULTS: Using long-read nanopore RNA sequencing, we sought to characterize the full-length polyadenylated (poly-A) transcriptome of EVs released by human chronic myelogenous leukemia K562 cells. We detected 443 and 280 RNAs that were respectively enriched or depleted in EVs. EV-enriched poly-A transcripts consist of a variety of biotypes, including mRNAs, long non-coding RNAs, and pseudogenes. Our analysis revealed that 10.58% of all EV reads, and 18.67% of all cellular (WC) reads, corresponded to known full-length transcripts, with mRNAs representing the largest biotype for each group (EV = 58.13%, WC = 43.93%). We also observed that for many well-represented coding and non-coding genes, diverse full-length transcript isoforms were present in EV specimens, and these isoforms were reflective-of but often in different ratio compared to cellular samples. CONCLUSION: This work provides novel insights into the compositional diversity of poly-A transcript isoforms enriched within EVs, while also underscoring the potential usefulness of nanopore sequencing to interrogate secreted RNA transcriptomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09552-6. BioMed Central 2023-09-22 /pmc/articles/PMC10514964/ /pubmed/37736705 http://dx.doi.org/10.1186/s12864-023-09552-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Padilla, Juan-Carlos A.
Barutcu, Seda
Malet, Ludovic
Deschamps-Francoeur, Gabrielle
Calderon, Virginie
Kwon, Eunjeong
Lécuyer, Eric
Profiling the polyadenylated transcriptome of extracellular vesicles with long-read nanopore sequencing
title Profiling the polyadenylated transcriptome of extracellular vesicles with long-read nanopore sequencing
title_full Profiling the polyadenylated transcriptome of extracellular vesicles with long-read nanopore sequencing
title_fullStr Profiling the polyadenylated transcriptome of extracellular vesicles with long-read nanopore sequencing
title_full_unstemmed Profiling the polyadenylated transcriptome of extracellular vesicles with long-read nanopore sequencing
title_short Profiling the polyadenylated transcriptome of extracellular vesicles with long-read nanopore sequencing
title_sort profiling the polyadenylated transcriptome of extracellular vesicles with long-read nanopore sequencing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514964/
https://www.ncbi.nlm.nih.gov/pubmed/37736705
http://dx.doi.org/10.1186/s12864-023-09552-6
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