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Advanced extracellular vesicle bioinformatic nanomaterials: from enrichment, decoding to clinical diagnostics
Extracellular vesicles (EVs) are membrane nanoarchitectures generated by cells that carry a variety of biomolecules, including DNA, RNA, proteins and metabolites. These characteristics make them attractive as circulating bioinformatic nanocabinets for liquid biopsy. Recent advances on EV biology and...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557264/ https://www.ncbi.nlm.nih.gov/pubmed/37798669 http://dx.doi.org/10.1186/s12951-023-02127-3 |
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author | Zhang, Yawei Zhao, Liang Li, Yaocheng Wan, Shuangshuang Yuan, Zhiyao Zu, Guangyue Peng, Fei Ding, Xianguang |
author_facet | Zhang, Yawei Zhao, Liang Li, Yaocheng Wan, Shuangshuang Yuan, Zhiyao Zu, Guangyue Peng, Fei Ding, Xianguang |
author_sort | Zhang, Yawei |
collection | PubMed |
description | Extracellular vesicles (EVs) are membrane nanoarchitectures generated by cells that carry a variety of biomolecules, including DNA, RNA, proteins and metabolites. These characteristics make them attractive as circulating bioinformatic nanocabinets for liquid biopsy. Recent advances on EV biology and biogenesis demonstrate that EVs serve as highly important cellular surrogates involved in a wide range of diseases, opening up new frontiers for modern diagnostics. However, inefficient methods for EV enrichment, as well as low sensitivity of EV bioinformatic decoding technologies, hinder the use of EV nanocabinet for clinical diagnosis. To overcome these challenges, new EV nanotechnology is being actively developed to promote the clinical translation of EV diagnostics. This article aims to present the emerging enrichment strategies and bioinformatic decoding platforms for EV analysis, and their applications as bioinformatic nanomaterials in clinical settings. |
format | Online Article Text |
id | pubmed-10557264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105572642023-10-07 Advanced extracellular vesicle bioinformatic nanomaterials: from enrichment, decoding to clinical diagnostics Zhang, Yawei Zhao, Liang Li, Yaocheng Wan, Shuangshuang Yuan, Zhiyao Zu, Guangyue Peng, Fei Ding, Xianguang J Nanobiotechnology Review Extracellular vesicles (EVs) are membrane nanoarchitectures generated by cells that carry a variety of biomolecules, including DNA, RNA, proteins and metabolites. These characteristics make them attractive as circulating bioinformatic nanocabinets for liquid biopsy. Recent advances on EV biology and biogenesis demonstrate that EVs serve as highly important cellular surrogates involved in a wide range of diseases, opening up new frontiers for modern diagnostics. However, inefficient methods for EV enrichment, as well as low sensitivity of EV bioinformatic decoding technologies, hinder the use of EV nanocabinet for clinical diagnosis. To overcome these challenges, new EV nanotechnology is being actively developed to promote the clinical translation of EV diagnostics. This article aims to present the emerging enrichment strategies and bioinformatic decoding platforms for EV analysis, and their applications as bioinformatic nanomaterials in clinical settings. BioMed Central 2023-10-06 /pmc/articles/PMC10557264/ /pubmed/37798669 http://dx.doi.org/10.1186/s12951-023-02127-3 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 | Review Zhang, Yawei Zhao, Liang Li, Yaocheng Wan, Shuangshuang Yuan, Zhiyao Zu, Guangyue Peng, Fei Ding, Xianguang Advanced extracellular vesicle bioinformatic nanomaterials: from enrichment, decoding to clinical diagnostics |
title | Advanced extracellular vesicle bioinformatic nanomaterials: from enrichment, decoding to clinical diagnostics |
title_full | Advanced extracellular vesicle bioinformatic nanomaterials: from enrichment, decoding to clinical diagnostics |
title_fullStr | Advanced extracellular vesicle bioinformatic nanomaterials: from enrichment, decoding to clinical diagnostics |
title_full_unstemmed | Advanced extracellular vesicle bioinformatic nanomaterials: from enrichment, decoding to clinical diagnostics |
title_short | Advanced extracellular vesicle bioinformatic nanomaterials: from enrichment, decoding to clinical diagnostics |
title_sort | advanced extracellular vesicle bioinformatic nanomaterials: from enrichment, decoding to clinical diagnostics |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557264/ https://www.ncbi.nlm.nih.gov/pubmed/37798669 http://dx.doi.org/10.1186/s12951-023-02127-3 |
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