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Nano-seq analysis reveals different functional tendency between exosomes and microvesicles derived from hUMSC

BACKGROUND: Extracellular vesicles (EVs) from human umbilical cord mesenchymal stem cells (hUMSCs) are widely considered to be the best mediators for cell-free therapy. An understanding of their composition, especially RNA, is particularly important for the safe and precise application of EVs. Up to...

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Autores principales: Yu, Dong, Mei, Yue, Wang, Ling, Zhao, Yunpeng, Fan, Xingfei, Liang, Dong, Li, Li, Zhu, Jie, Bi, Sisi, Wang, Xue, Qi, Zhongquan, Zhu, Lie, Wang, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521478/
https://www.ncbi.nlm.nih.gov/pubmed/37749641
http://dx.doi.org/10.1186/s13287-023-03491-5
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author Yu, Dong
Mei, Yue
Wang, Ling
Zhao, Yunpeng
Fan, Xingfei
Liang, Dong
Li, Li
Zhu, Jie
Bi, Sisi
Wang, Xue
Qi, Zhongquan
Zhu, Lie
Wang, Yue
author_facet Yu, Dong
Mei, Yue
Wang, Ling
Zhao, Yunpeng
Fan, Xingfei
Liang, Dong
Li, Li
Zhu, Jie
Bi, Sisi
Wang, Xue
Qi, Zhongquan
Zhu, Lie
Wang, Yue
author_sort Yu, Dong
collection PubMed
description BACKGROUND: Extracellular vesicles (EVs) from human umbilical cord mesenchymal stem cells (hUMSCs) are widely considered to be the best mediators for cell-free therapy. An understanding of their composition, especially RNA, is particularly important for the safe and precise application of EVs. Up to date, the knowledge of their RNA components is limited to NGS sequencing and cannot provide a comprehensive transcriptomic landscape, especially the long and full-length transcripts. Our study first focused on the transcriptomic profile of hUMSC-EVs based on nanopore sequencing. METHODS: In this study, different EV subtypes (exosomes and microvesicles) derived from hUMSCs were isolated and identified by density gradient centrifugation. Subsequently, the realistic long transcriptomic profile in different subtypes of hUMSC-EVs was systematically compared by nanopore sequencing and bioinformatic analysis. RESULTS: Abundant transcript variants were identified in EVs by nanopore sequencing, 69.34% of which transcripts were fragmented. A series of full-length and long transcripts was also observed and showed a significantly higher proportion of intact or near-complete transcripts in exosomes than that in microvesicles derived from hUMSCs. Although the composition of RNA biotypes transported by different EV subtypes was similar, the distribution of transcripts and genes revealed the inter-heterogeneity and intra-stability between exosomes and microvesicles. Further, 85 different expressed transcripts (56 genes) and 7 fusion genes were identified. Pathway enrichment analysis showed that upregulated-expressed genes in microvesicles were mainly enriched in multiple neurodegenerative diseases, while upregulated-expressed genes in exosomes were mainly enriched in neutrophil extracellular trap formation, suggesting different functional tendencies of EV subtypes. CONCLUSIONS: This study provides a novel understanding of different types of hUMSC-EVs, which not only suggests different transcriptome sorting mechanisms between exosomes and microvesicles, but also shows that different EV subtypes from the same source have different physiological functions, suggesting distinct clinical application prospects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13287-023-03491-5.
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spelling pubmed-105214782023-09-27 Nano-seq analysis reveals different functional tendency between exosomes and microvesicles derived from hUMSC Yu, Dong Mei, Yue Wang, Ling Zhao, Yunpeng Fan, Xingfei Liang, Dong Li, Li Zhu, Jie Bi, Sisi Wang, Xue Qi, Zhongquan Zhu, Lie Wang, Yue Stem Cell Res Ther Research BACKGROUND: Extracellular vesicles (EVs) from human umbilical cord mesenchymal stem cells (hUMSCs) are widely considered to be the best mediators for cell-free therapy. An understanding of their composition, especially RNA, is particularly important for the safe and precise application of EVs. Up to date, the knowledge of their RNA components is limited to NGS sequencing and cannot provide a comprehensive transcriptomic landscape, especially the long and full-length transcripts. Our study first focused on the transcriptomic profile of hUMSC-EVs based on nanopore sequencing. METHODS: In this study, different EV subtypes (exosomes and microvesicles) derived from hUMSCs were isolated and identified by density gradient centrifugation. Subsequently, the realistic long transcriptomic profile in different subtypes of hUMSC-EVs was systematically compared by nanopore sequencing and bioinformatic analysis. RESULTS: Abundant transcript variants were identified in EVs by nanopore sequencing, 69.34% of which transcripts were fragmented. A series of full-length and long transcripts was also observed and showed a significantly higher proportion of intact or near-complete transcripts in exosomes than that in microvesicles derived from hUMSCs. Although the composition of RNA biotypes transported by different EV subtypes was similar, the distribution of transcripts and genes revealed the inter-heterogeneity and intra-stability between exosomes and microvesicles. Further, 85 different expressed transcripts (56 genes) and 7 fusion genes were identified. Pathway enrichment analysis showed that upregulated-expressed genes in microvesicles were mainly enriched in multiple neurodegenerative diseases, while upregulated-expressed genes in exosomes were mainly enriched in neutrophil extracellular trap formation, suggesting different functional tendencies of EV subtypes. CONCLUSIONS: This study provides a novel understanding of different types of hUMSC-EVs, which not only suggests different transcriptome sorting mechanisms between exosomes and microvesicles, but also shows that different EV subtypes from the same source have different physiological functions, suggesting distinct clinical application prospects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13287-023-03491-5. BioMed Central 2023-09-25 /pmc/articles/PMC10521478/ /pubmed/37749641 http://dx.doi.org/10.1186/s13287-023-03491-5 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
Yu, Dong
Mei, Yue
Wang, Ling
Zhao, Yunpeng
Fan, Xingfei
Liang, Dong
Li, Li
Zhu, Jie
Bi, Sisi
Wang, Xue
Qi, Zhongquan
Zhu, Lie
Wang, Yue
Nano-seq analysis reveals different functional tendency between exosomes and microvesicles derived from hUMSC
title Nano-seq analysis reveals different functional tendency between exosomes and microvesicles derived from hUMSC
title_full Nano-seq analysis reveals different functional tendency between exosomes and microvesicles derived from hUMSC
title_fullStr Nano-seq analysis reveals different functional tendency between exosomes and microvesicles derived from hUMSC
title_full_unstemmed Nano-seq analysis reveals different functional tendency between exosomes and microvesicles derived from hUMSC
title_short Nano-seq analysis reveals different functional tendency between exosomes and microvesicles derived from hUMSC
title_sort nano-seq analysis reveals different functional tendency between exosomes and microvesicles derived from humsc
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521478/
https://www.ncbi.nlm.nih.gov/pubmed/37749641
http://dx.doi.org/10.1186/s13287-023-03491-5
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