Profiling the polyadenylated transcriptome of extracellular vesicles with long-read nanopore sequencing
- PMID: 37736705
- PMCID: PMC10514964
- DOI: 10.1186/s12864-023-09552-6
Profiling the polyadenylated transcriptome of extracellular vesicles with long-read nanopore sequencing
Abstract
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.
Keywords: Extracellular vesicles; Long-Read RNA Sequencing; Nanopore sequencing; Poly-A; Polyadenylated transcriptome; RNA-seq; Transcript Isoforms; Transcriptomics; lncRNA; mRNA.
© 2023. BioMed Central Ltd., part of Springer Nature.
Conflict of interest statement
The authors declare no competing interests.
Figures





Similar articles
-
Extracellular vesicles, RNA sequencing, and bioinformatic analyses: Challenges, solutions, and recommendations.J Extracell Vesicles. 2024 Dec;13(12):e70005. doi: 10.1002/jev2.70005. J Extracell Vesicles. 2024. PMID: 39625409 Free PMC article. Review.
-
Exploring Extracellular Vesicle Transcriptomic Diversity Through Long-Read Nanopore Sequencing.Methods Mol Biol. 2025;2880:227-241. doi: 10.1007/978-1-0716-4276-4_11. Methods Mol Biol. 2025. PMID: 39900762
-
Sorting and packaging of RNA into extracellular vesicles shape intracellular transcript levels.BMC Biol. 2022 Mar 24;20(1):72. doi: 10.1186/s12915-022-01277-4. BMC Biol. 2022. PMID: 35331218 Free PMC article.
-
Transcript Isoform-Specific Estimation of Poly(A) Tail Length by Nanopore Sequencing of Native RNA.Methods Mol Biol. 2021;2284:543-567. doi: 10.1007/978-1-0716-1307-8_30. Methods Mol Biol. 2021. PMID: 33835463
-
Methodologies for Transcript Profiling Using Long-Read Technologies.Front Genet. 2020 Jul 7;11:606. doi: 10.3389/fgene.2020.00606. eCollection 2020. Front Genet. 2020. PMID: 32733532 Free PMC article. Review.
Cited by
-
Extracellular vesicles, RNA sequencing, and bioinformatic analyses: Challenges, solutions, and recommendations.J Extracell Vesicles. 2024 Dec;13(12):e70005. doi: 10.1002/jev2.70005. J Extracell Vesicles. 2024. PMID: 39625409 Free PMC article. Review.
-
Benchmarking transcriptome deconvolution methods for estimating tissue- and cell-type-specific extracellular vesicle abundances.J Extracell Vesicles. 2024 Sep;13(9):e12511. doi: 10.1002/jev2.12511. J Extracell Vesicles. 2024. PMID: 39320021 Free PMC article.
-
Exploring Extracellular Vesicle Transcriptomic Diversity Through Long-Read Nanopore Sequencing.Methods Mol Biol. 2025;2880:227-241. doi: 10.1007/978-1-0716-4276-4_11. Methods Mol Biol. 2025. PMID: 39900762
-
Inhibition of acid or neutral sphingomyelinases differentially impacts RNA and protein cargo sorting to extracellular vesicles.iScience. 2025 Apr 15;28(5):112440. doi: 10.1016/j.isci.2025.112440. eCollection 2025 May 16. iScience. 2025. PMID: 40454089 Free PMC article.
-
Challenges in characterization of transcriptomes of extracellular vesicles and non-vesicular extracellular RNA carriers.Front Mol Biosci. 2023 Dec 5;10:1327985. doi: 10.3389/fmolb.2023.1327985. eCollection 2023. Front Mol Biosci. 2023. PMID: 38116380 Free PMC article. Review.
References
-
- Théry C, Witwer KW, Aikawa E, Alcaraz MJ, Anderson JD, Andriantsitohaina R, Antoniou A, Arab T, Archer F, Atkin-Smith GK, et al. Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines. J Extracell Vesicles. 2018;7(1):1535750. - PMC - PubMed
-
- van Niel G, D'Angelo G, Raposo G. Shedding light on the cell biology of extracellular vesicles. Nat Rev Mol Cell Biol. 2018;19(4):213–228. - PubMed
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Molecular Biology Databases